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+{"kb_id": "RAGKB-0001", "knowledge_group_id": "KG-0009", "source_chunk_id": "SC-00001", "source_doc": "General Handbook", "scope_label": "general", "section": "Faculty Objectives", "subsection": "Faculty Objectives", "title": "Faculty Objectives - Faculty Objectives - chunk 1", "pages": [9], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 13, "linked_index_ids": ["UMI-0001", "UMI-0120", "UMI-0121", "UMI-0122", "UMI-0123"], "group_canonical_questions": ["What are the faculty objectives?", "Which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?", "Which faculty objective focuses on producing quality research and publications for national development?", "Which faculty objective emphasizes innovative academic programmes that respond to social change?", "Which faculty objective emphasizes producing graduates with advanced knowledge and skills in computer science and information technology?"], "chunk_question_variants": ["What are the faculty objectives?", "Which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?", "Which faculty objective focuses on producing quality research and publications for national development?", "Which faculty objective emphasizes innovative academic programmes that respond to social change?", "Which faculty objective emphasizes producing graduates with advanced knowledge and skills in computer science and information technology?", "Could you list the faculty objectives?", "Quick check: what are the faculty objectives?", "Could you tell me which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?", "Real quick, which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?", "Could you tell me which faculty objective focuses on producing quality research and publications for national development?", "Could you tell me which faculty objective emphasizes innovative academic programmes that respond to social change?", "Just asking, which faculty objective emphasizes innovative academic programmes that respond to social change?", "Could you tell me which faculty objective emphasizes producing graduates with advanced knowledge and skills in computer science and information technology?"], "matched_qa_ids": ["qa_000001", "qa_000120", "qa_000121", "qa_000122", "qa_000123", "qa_000396", "qa_000397", "qa_000603", "qa_000604", "qa_000605", "qa_000606", "qa_000607", "qa_000608"], "grounded_answer_bank": ["The faculty objectives are to sustain excellence in undergraduate and postgraduate teaching, learning, and research; contribute to national development through quality research and publications; provide innovative academic programmes that respond to societal needs; and produce quality graduates with advanced knowledge and skills in computer science and information technology.", "The relevant objective is to sustain an outstanding faculty dedicated to excellence in undergraduate and postgraduate teaching, learning, and research.", "The relevant objective is to contribute towards the development of the nation through the production of quality research and publications.", "The relevant objective is to provide innovative academic programmes that can respond to the changing needs of society.", "The relevant objective is to produce quality graduates who are equipped with advanced knowledge and skills of computer science and information technology."], "retrieval_keywords": ["academic", "advanced", "advanced knowledge", "can", "changing", "changing needs of society", "class", "computing", "contribute", "dedicated", "development", "faculty goals", "innovative academic programs", "learning", "national development", "objective", "objectives", "publications", "quality", "quality graduates", "research", "skills", "teaching", "world"], "retrieval_tags": ["faculty_objectives", "general"], "source_text": "VISION\nA global faculty impacting the world\nMISSION\nPropelling computing technology and\nproducing world class leaders\nOBJECTIVES\nTo sustain an outstanding faculty dedicated to excellence in\nundergraduate and postgraduate teaching, learning and research.\nTo contribute towards the development of the nation through the\nproduction of quality research and publications.\nTo provide innovative academic programs that can respond to the\nchanging needs of the society.\nTo produce quality graduates who are equipped with advanced\nknowledge and skills of computer science and information technology.", "retrieval_text": "Title: Faculty Objectives - Faculty Objectives - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: Faculty Objectives\n\nSubsection: Faculty Objectives\n\nCanonical questions:\n- What are the faculty objectives?\n- Which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?\n- Which faculty objective focuses on producing quality research and publications for national development?\n- Which faculty objective emphasizes innovative academic programmes that respond to social change?\n- Which faculty objective emphasizes producing graduates with advanced knowledge and skills in computer science and information technology?\n\nQuestion variants:\n- What are the faculty objectives?\n- Which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?\n- Which faculty objective focuses on producing quality research and publications for national development?\n- Which faculty objective emphasizes innovative academic programmes that respond to social change?\n- Which faculty objective emphasizes producing graduates with advanced knowledge and skills in computer science and information technology?\n- Could you list the faculty objectives?\n- Quick check: what are the faculty objectives?\n- Could you tell me which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?\n- Real quick, which objective in the handbook focuses on excellence in undergraduate and postgraduate teaching, learning, and research?\n- Could you tell me which faculty objective focuses on producing quality research and publications for national development?\n- Could you tell me which faculty objective emphasizes innovative academic programmes that respond to social change?\n- Just asking, which faculty objective emphasizes innovative academic programmes that respond to social change?\n\nGrounded answer bank:\n- The faculty objectives are to sustain excellence in undergraduate and postgraduate teaching, learning, and research; contribute to national development through quality research and publications; provide innovative academic programmes that respond to societal needs; and produce quality graduates with advanced knowledge and skills in computer science and information technology.\n- The relevant objective is to sustain an outstanding faculty dedicated to excellence in undergraduate and postgraduate teaching, learning, and research.\n- The relevant objective is to contribute towards the development of the nation through the production of quality research and publications.\n- The relevant objective is to provide innovative academic programmes that can respond to the changing needs of society.\n- The relevant objective is to produce quality graduates who are equipped with advanced knowledge and skills of computer science and information technology.\n\nSource chunk text:\nVISION\nA global faculty impacting the world\nMISSION\nPropelling computing technology and\nproducing world class leaders\nOBJECTIVES\nTo sustain an outstanding faculty dedicated to excellence in\nundergraduate and postgraduate teaching, learning and research.\nTo contribute towards the development of the nation through the\nproduction of quality research and publications.\nTo provide innovative academic programs that can respond to the\nchanging needs of the society.\nTo produce quality graduates who are equipped with advanced\nknowledge and skills of computer science and information technology.\n\nKeywords: academic, advanced, advanced knowledge, can, changing, changing needs of society, class, computing, contribute, dedicated, development, faculty goals, innovative academic programs, learning, national development, objective, objectives, publications, quality, quality graduates, research, skills, teaching, world"}
+{"kb_id": "RAGKB-0002", "knowledge_group_id": "KG-0011", "source_chunk_id": "SC-00002", "source_doc": "General Handbook", "scope_label": "general", "section": "History of the Faculty", "subsection": "History Overview", "title": "History of the Faculty - History Overview - chunk 1", "pages": [10], "chunk_index": 1, "group_size_chunks": 4, "group_size_qas": 31, "linked_index_ids": ["UMI-0002", "UMI-0003", "UMI-0124", "UMI-0125", "UMI-0126", "UMI-0127", "UMI-0128", "UMI-0129", "UMI-0130", "UMI-0131", "UMI-0132", "UMI-0133"], "group_canonical_questions": ["What is the history overview of the Faculty of Computer Science and Information Technology?", "What key milestones are mentioned in the faculty history?", "When and how did computer facilities and services first begin at Universiti Malaya?", "What role did the Computer Centre Board play in the university's computing development?", "When was the Diploma in Computer Science introduced and how many students completed it?", "When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?", "When was the Computer Centre Study Board formed and what did it propose?", "When was the Faculty of Computer Science and Information Technology officially formed?", "What details are given about the first faculty building and its official opening in 1996?", "When did the Bachelor of Information Technology programme start and what was its initial intake?", "Which four departments were established in 1997?", "What information is given about the additional building opened in 1998?"], "chunk_question_variants": ["When and how did computer facilities and services first begin at Universiti Malaya?", "What role did the Computer Centre Board play in the university's computing development?", "When was the Diploma in Computer Science introduced and how many students completed it?", "When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?", "Could you explain the history overview of the Faculty of Computer Science and Information Technology?", "Real quick, what's the history overview of the Faculty of Computer Science and Information Technology?", "Could you tell me what key milestones are mentioned in the faculty history?", "Hey, what key milestones are mentioned in the faculty history?", "Can you tell me when and how did computer facilities and services first begin at Universiti Malaya?", "Quick one: when and how did computer facilities and services first begin at Universiti Malaya?", "Could you tell me what role did the Computer Centre Board play in the university's computing development?", "Can you tell me when was the Diploma in Computer Science introduced and how many students completed it?", "Ngl, when was the Diploma in Computer Science introduced and how many students completed it?", "Can you tell me when were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?"], "matched_qa_ids": ["qa_000124", "qa_000125", "qa_000126", "qa_000127", "qa_000398", "qa_000399", "qa_000400", "qa_000401", "qa_000609", "qa_000610", "qa_000611", "qa_000612", "qa_000613", "qa_000614"], "grounded_answer_bank": ["The provision of computer facilities and services at Universiti Malaya began soon after the Computer Centre was officially formed in 1965, making the university one of the pioneers in computer usage in Malaysia.", "The Computer Centre Board oversaw the teaching, research, and service functions related to computing. It was formed with the Vice-Chancellor as Chairman, the Director of the Computer Centre as Secretary, and representatives from faculties, institutes, centres, and the Senate.", "The Diploma in Computer Science was introduced in 1974. The handbook states that 304 students had been awarded the diploma by the end of the period it summarizes.", "The Master of Computer Science and Doctor of Philosophy research programmes were approved by the Senate and had been administered by the Computer Centre since 1985.", "Universiti Malaya's computing facilities began with the Computer Centre in the 1960s, later expanded into teaching and research, introduced the Diploma in Computer Science in 1974 and research degrees in 1985, then moved toward a full faculty structure in 1993. FCSIT was formally approved in 1994, its main building was opened in 1996, the Bachelor of Information Technology began in 1996/97, and four departments were established in 1997.", "Key milestones include the formation of the Computer Centre, the start of teaching and research in 1969, the introduction of the Diploma in Computer Science in 1974, approval and administration of the Master of Computer Science and PhD research programmes in 1985, the 1993 proposal to establish FCSIT, formal approval in 1994, the opening of the faculty building in 1996, the start of the Bachelor of Information Technology in 1996/97, and the establishment of four departments in 1997."], "retrieval_keywords": ["1965", "1967", "1974", "1985", "1994", "1996", "1998", "304 students", "Computer Centre Board", "Diploma in Computer Science", "Doctor of Philosophy", "Master of Computer Science", "Senate", "Vice Chancellor", "addition", "additional", "administered", "been", "centre", "computer centre", "computer facilities", "diploma", "faculty formation", "formed", "had", "history", "milestones", "research", "session", "university"], "retrieval_tags": ["general", "history_of_the_faculty", "history_overview"], "source_text": "The provision of computer facilities and services at the Universiti Malaya\n(UM) began soon after the Computer Centre was officially formed in 1965.\nThis made the university one of the pioneers in computer usage in Malaysia.\nIn December 1969, the Computer Centre took on an additional role of\nteaching and research of computer science and information technology. The\nComputer Centre Board was formed, comprising the Vice-Chancellor (as\nChairman), the Director of Computer Centre (as Secretary), and a\nrepresentative from each Faculty, Institute, Centre and the University\nSenate.\nIn 1974, the Diploma in Computer Science programme was introduced.\nFrom its inception in the 1974/1975 Session to the 1997/1998 Session, a\ntotal of 300 students had been awarded the Diploma. The Master of\nComputer Science (MCS) and Doctor of Philosophy (Ph.D.) programme\nwere two (2) higher degree programme by research approved by the Senate\nand had been administered by the Computer Centre since 1985. In addition,\nthe Computer Centre offered a four (4) years Bachelor of Computer Science", "retrieval_text": "Title: History of the Faculty - History Overview - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: History of the Faculty\n\nSubsection: History Overview\n\nCanonical questions:\n- What is the history overview of the Faculty of Computer Science and Information Technology?\n- What key milestones are mentioned in the faculty history?\n- When and how did computer facilities and services first begin at Universiti Malaya?\n- What role did the Computer Centre Board play in the university's computing development?\n- When was the Diploma in Computer Science introduced and how many students completed it?\n- When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?\n- When was the Computer Centre Study Board formed and what did it propose?\n- When was the Faculty of Computer Science and Information Technology officially formed?\n- What details are given about the first faculty building and its official opening in 1996?\n- When did the Bachelor of Information Technology programme start and what was its initial intake?\n- Which four departments were established in 1997?\n- What information is given about the additional building opened in 1998?\n\nQuestion variants:\n- When and how did computer facilities and services first begin at Universiti Malaya?\n- What role did the Computer Centre Board play in the university's computing development?\n- When was the Diploma in Computer Science introduced and how many students completed it?\n- When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?\n- Could you explain the history overview of the Faculty of Computer Science and Information Technology?\n- Real quick, what's the history overview of the Faculty of Computer Science and Information Technology?\n- Could you tell me what key milestones are mentioned in the faculty history?\n- Hey, what key milestones are mentioned in the faculty history?\n- Can you tell me when and how did computer facilities and services first begin at Universiti Malaya?\n- Quick one: when and how did computer facilities and services first begin at Universiti Malaya?\n- Could you tell me what role did the Computer Centre Board play in the university's computing development?\n- Can you tell me when was the Diploma in Computer Science introduced and how many students completed it?\n\nGrounded answer bank:\n- The provision of computer facilities and services at Universiti Malaya began soon after the Computer Centre was officially formed in 1965, making the university one of the pioneers in computer usage in Malaysia.\n- The Computer Centre Board oversaw the teaching, research, and service functions related to computing. It was formed with the Vice-Chancellor as Chairman, the Director of the Computer Centre as Secretary, and representatives from faculties, institutes, centres, and the Senate.\n- The Diploma in Computer Science was introduced in 1974. The handbook states that 304 students had been awarded the diploma by the end of the period it summarizes.\n- The Master of Computer Science and Doctor of Philosophy research programmes were approved by the Senate and had been administered by the Computer Centre since 1985.\n- Universiti Malaya's computing facilities began with the Computer Centre in the 1960s, later expanded into teaching and research, introduced the Diploma in Computer Science in 1974 and research degrees in 1985, then moved toward a full faculty structure in 1993. FCSIT was formally approved in 1994, its main building was opened in 1996, the Bachelor of Information Technology began in 1996/97, and four departments were established in 1997.\n- Key milestones include the formation of the Computer Centre, the start of teaching and research in 1969, the introduction of the Diploma in Computer Science in 1974, approval and administration of the Master of Computer Science and PhD research programmes in 1985, the 1993 proposal to establish FCSIT, formal approval in 1994, the opening of the faculty building in 1996, the start of the Bachelor of Information Technology in 1996/97, and the establishment of four departments in 1997.\n\nSource chunk text:\nThe provision of computer facilities and services at the Universiti Malaya\n(UM) began soon after the Computer Centre was officially formed in 1965.\nThis made the university one of the pioneers in computer usage in Malaysia.\nIn December 1969, the Computer Centre took on an additional role of\nteaching and research of computer science and information technology. The\nComputer Centre Board was formed, comprising the Vice-Chancellor (as\nChairman), the Director of Computer Centre (as Secretary), and a\nrepresentative from each Faculty, Institute, Centre and the University\nSenate.\nIn 1974, the Diploma in Computer Science programme was introduced.\nFrom its inception in the 1974/1975 Session to the 1997/1998 Session, a\ntotal of 300 students had been awarded the Diploma. The Master of\nComputer Science (MCS) and Doctor of Philosophy (Ph.D.) programme\nwere two (2) higher degree programme by research approved by the Senate\nand had been administered by the Computer Centre since 1985. In addition,\nthe Computer Centre offered a four (4) years Bachelor of Computer Science\n\nKeywords: 1965, 1967, 1974, 1985, 1994, 1996, 1998, 304 students, Computer Centre Board, Diploma in Computer Science, Doctor of Philosophy, Master of Computer Science, Senate, Vice Chancellor, addition, additional, administered, been, centre, computer centre, computer facilities, diploma, faculty formation, formed, had, history, milestones, research, session, university"}
+{"kb_id": "RAGKB-0003", "knowledge_group_id": "KG-0011", "source_chunk_id": "SC-00003", "source_doc": "General Handbook", "scope_label": "general", "section": "History of the Faculty", "subsection": "History Overview", "title": "History of the Faculty - History Overview - chunk 2", "pages": [10], "chunk_index": 2, "group_size_chunks": 4, "group_size_qas": 31, "linked_index_ids": ["UMI-0002", "UMI-0003", "UMI-0124", "UMI-0125", "UMI-0126", "UMI-0127", "UMI-0128", "UMI-0129", "UMI-0130", "UMI-0131", "UMI-0132", "UMI-0133"], "group_canonical_questions": ["What is the history overview of the Faculty of Computer Science and Information Technology?", "What key milestones are mentioned in the faculty history?", "When and how did computer facilities and services first begin at Universiti Malaya?", "What role did the Computer Centre Board play in the university's computing development?", "When was the Diploma in Computer Science introduced and how many students completed it?", "When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?", "When was the Computer Centre Study Board formed and what did it propose?", "When was the Faculty of Computer Science and Information Technology officially formed?", "What details are given about the first faculty building and its official opening in 1996?", "When did the Bachelor of Information Technology programme start and what was its initial intake?", "Which four departments were established in 1997?", "What information is given about the additional building opened in 1998?"], "chunk_question_variants": ["What is the history overview of the Faculty of Computer Science and Information Technology?", "What key milestones are mentioned in the faculty history?", "When was the Computer Centre Study Board formed and what did it propose?", "When was the Faculty of Computer Science and Information Technology officially formed?", "What details are given about the first faculty building and its official opening in 1996?", "Can you tell me when was the Computer Centre Study Board formed and what did it propose?", "Quick check: when was the Computer Centre Study Board formed and what did it propose?", "Can you tell me when was the Faculty of Computer Science and Information Technology officially formed?", "Could you tell me what details are given about the first faculty building and its official opening in 1996?", "Hey, what details are given about the first faculty building and its official opening in 1996?"], "matched_qa_ids": ["qa_000002", "qa_000003", "qa_000128", "qa_000129", "qa_000130", "qa_000615", "qa_000616", "qa_000617", "qa_000618", "qa_000619"], "grounded_answer_bank": ["Universiti Malaya's computing facilities began with the Computer Centre in the 1960s, later expanded into teaching and research, introduced the Diploma in Computer Science in 1974 and research degrees in 1985, then moved toward a full faculty structure in 1993. FCSIT was formally approved in 1994, its main building was opened in 1996, the Bachelor of Information Technology began in 1996/97, and four departments were established in 1997.", "Key milestones include the formation of the Computer Centre, the start of teaching and research in 1969, the introduction of the Diploma in Computer Science in 1974, approval and administration of the Master of Computer Science and PhD research programmes in 1985, the 1993 proposal to establish FCSIT, formal approval in 1994, the opening of the faculty building in 1996, the start of the Bachelor of Information Technology in 1996/97, and the establishment of four departments in 1997.", "The Computer Centre Study Board was formed in April 1993, and it proposed the establishment of a faculty to be called the Faculty of Computer Science and Information Technology.", "The Universiti Malaya Council agreed to the formation of FCSIT on 22 September 1994.", "RM4.2 million was obtained under the 6th Malaysia Plan to build the faculty's new building, and that the building was officially opened on 26 September 1996 by the then Minister of Education, Datuk Seri Najib Tun Abdul Razak."], "retrieval_keywords": ["1993", "1994", "1996", "1998", "Computer Centre Study Board", "FCSIT", "Najib", "abdul", "agreed", "board", "building", "centre", "computer centre", "division", "education", "faculty formation", "faculty proposal", "formation", "history", "milestones", "september", "services", "university"], "retrieval_tags": ["general", "history_of_the_faculty", "history_overview"], "source_text": "programme. The first undergraduate enrolment for the 1990/1991 Session\nwas 50 students.\nIn April 1st, 1993, the University Senate agreed to the formation of the\nComputer Centre Study Board. The Board proposed the establishment of a\nfaculty to be called the Faculty of Computer Science and Information\nTechnology (FCSIT). The existing Computer Centre was to be annulled and\nreplaced by a Computer Services Division which was placed under the\nChancellery.\nOn September 22nd, 1994, the University of Malaya Council agreed to the\nformation of the Faculty of Computer Science and Information Technology\n(FCSIT), and the Computer Services Division. A sum of 4.2 million was\nobtained from the Ministry of Education under the Sixth Malaysian Plan to\nput up a new building for the faculty, with the necessary infrastructure for\nteaching, learning and research. The building was officially declared open by\nthe Minister of Education, Dato' Sri Najib Tun Abdul Razak on September\n26th, 1996.\nHISTORY OF THE FACULTY", "retrieval_text": "Title: History of the Faculty - History Overview - chunk 2\n\nScope: general\n\nSource document: General Handbook\n\nSection: History of the Faculty\n\nSubsection: History Overview\n\nCanonical questions:\n- What is the history overview of the Faculty of Computer Science and Information Technology?\n- What key milestones are mentioned in the faculty history?\n- When and how did computer facilities and services first begin at Universiti Malaya?\n- What role did the Computer Centre Board play in the university's computing development?\n- When was the Diploma in Computer Science introduced and how many students completed it?\n- When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?\n- When was the Computer Centre Study Board formed and what did it propose?\n- When was the Faculty of Computer Science and Information Technology officially formed?\n- What details are given about the first faculty building and its official opening in 1996?\n- When did the Bachelor of Information Technology programme start and what was its initial intake?\n- Which four departments were established in 1997?\n- What information is given about the additional building opened in 1998?\n\nQuestion variants:\n- What is the history overview of the Faculty of Computer Science and Information Technology?\n- What key milestones are mentioned in the faculty history?\n- When was the Computer Centre Study Board formed and what did it propose?\n- When was the Faculty of Computer Science and Information Technology officially formed?\n- What details are given about the first faculty building and its official opening in 1996?\n- Can you tell me when was the Computer Centre Study Board formed and what did it propose?\n- Quick check: when was the Computer Centre Study Board formed and what did it propose?\n- Can you tell me when was the Faculty of Computer Science and Information Technology officially formed?\n- Could you tell me what details are given about the first faculty building and its official opening in 1996?\n- Hey, what details are given about the first faculty building and its official opening in 1996?\n\nGrounded answer bank:\n- Universiti Malaya's computing facilities began with the Computer Centre in the 1960s, later expanded into teaching and research, introduced the Diploma in Computer Science in 1974 and research degrees in 1985, then moved toward a full faculty structure in 1993. FCSIT was formally approved in 1994, its main building was opened in 1996, the Bachelor of Information Technology began in 1996/97, and four departments were established in 1997.\n- Key milestones include the formation of the Computer Centre, the start of teaching and research in 1969, the introduction of the Diploma in Computer Science in 1974, approval and administration of the Master of Computer Science and PhD research programmes in 1985, the 1993 proposal to establish FCSIT, formal approval in 1994, the opening of the faculty building in 1996, the start of the Bachelor of Information Technology in 1996/97, and the establishment of four departments in 1997.\n- The Computer Centre Study Board was formed in April 1993, and it proposed the establishment of a faculty to be called the Faculty of Computer Science and Information Technology.\n- The Universiti Malaya Council agreed to the formation of FCSIT on 22 September 1994.\n- RM4.2 million was obtained under the 6th Malaysia Plan to build the faculty's new building, and that the building was officially opened on 26 September 1996 by the then Minister of Education, Datuk Seri Najib Tun Abdul Razak.\n\nSource chunk text:\nprogramme. The first undergraduate enrolment for the 1990/1991 Session\nwas 50 students.\nIn April 1st, 1993, the University Senate agreed to the formation of the\nComputer Centre Study Board. The Board proposed the establishment of a\nfaculty to be called the Faculty of Computer Science and Information\nTechnology (FCSIT). The existing Computer Centre was to be annulled and\nreplaced by a Computer Services Division which was placed under the\nChancellery.\nOn September 22nd, 1994, the University of Malaya Council agreed to the\nformation of the Faculty of Computer Science and Information Technology\n(FCSIT), and the Computer Services Division. A sum of 4.2 million was\nobtained from the Ministry of Education under the Sixth Malaysian Plan to\nput up a new building for the faculty, with the necessary infrastructure for\nteaching, learning and research. The building was officially declared open by\nthe Minister of Education, Dato' Sri Najib Tun Abdul Razak on September\n26th, 1996.\nHISTORY OF THE FACULTY\n\nKeywords: 1993, 1994, 1996, 1998, Computer Centre Study Board, FCSIT, Najib, abdul, agreed, board, building, centre, computer centre, division, education, faculty formation, faculty proposal, formation, history, milestones, september, services, university"}
+{"kb_id": "RAGKB-0004", "knowledge_group_id": "KG-0011", "source_chunk_id": "SC-00004", "source_doc": "General Handbook", "scope_label": "general", "section": "History of the Faculty", "subsection": "History Overview", "title": "History of the Faculty - History Overview - chunk 3", "pages": [11], "chunk_index": 3, "group_size_chunks": 4, "group_size_qas": 31, "linked_index_ids": ["UMI-0002", "UMI-0003", "UMI-0124", "UMI-0125", "UMI-0126", "UMI-0127", "UMI-0128", "UMI-0129", "UMI-0130", "UMI-0131", "UMI-0132", "UMI-0133"], "group_canonical_questions": ["What is the history overview of the Faculty of Computer Science and Information Technology?", "What key milestones are mentioned in the faculty history?", "When and how did computer facilities and services first begin at Universiti Malaya?", "What role did the Computer Centre Board play in the university's computing development?", "When was the Diploma in Computer Science introduced and how many students completed it?", "When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?", "When was the Computer Centre Study Board formed and what did it propose?", "When was the Faculty of Computer Science and Information Technology officially formed?", "What details are given about the first faculty building and its official opening in 1996?", "When did the Bachelor of Information Technology programme start and what was its initial intake?", "Which four departments were established in 1997?", "What information is given about the additional building opened in 1998?"], "chunk_question_variants": ["When did the Bachelor of Information Technology programme start and what was its initial intake?", "Which four departments were established in 1997?", "What information is given about the additional building opened in 1998?", "Can you tell me when did the Bachelor of Information Technology programme start and what was its initial intake?", "Could you tell me which four departments were established in 1997?", "Low-key, which four departments were established in 1997?", "Could you tell me what information is given about the additional building opened in 1998?"], "matched_qa_ids": ["qa_000131", "qa_000132", "qa_000133", "qa_000620", "qa_000621", "qa_000622", "qa_000623"], "grounded_answer_bank": ["The Bachelor of Information Technology programme started in the 1996/97 academic session with an initial intake of 50 students.", "The four departments established in 1997 were Artificial Intelligence, Software Engineering, Information and Library Science, and Computer Systems and Technology.", "An additional building was built to accommodate the growing student population and was officially opened on 21 September 1998 by Dato' Dr. Fong Chan Onn, then Deputy Minister of Education."], "retrieval_keywords": ["1996/97", "1997", "1998", "50 students", "Artificial Intelligence", "Bachelor of Information Technology", "Fong Chan Onn", "accommodate", "additional", "additional building", "assoc", "aun", "departments", "have", "history", "mashkuri", "prof", "professor", "salim", "salwah", "siti", "yaacob"], "retrieval_tags": ["general", "history_of_the_faculty", "history_overview"], "source_text": "The Bachelor of Information Technology programme started in the\n1996/1997 Session, with an initial intake of 50 students. To accommodate\nan increase student population, an additional building was built which was\nofficially opened by Datuk Fong Chan Onn, Deputy Minister of Education on\nSeptember 21st, 1998.\nSince its establishment, the Faculty of Computer Science and Information\nTechnology have been led by a number of distinguished persons. The\nfollowing have served as Directors/Dean:\nHISTORY OF THE FACULTY\n1967 – 1973\n1973 – 1975\n1975 – 1978\n1978 – 1982\n1982 – 1990\n1990 – 1992\n1992 – 2000\n2000 – 2002\n2002 – 2004\n2004 – 2005\n2005 – 2006\n2006 – 2007\n2007 – 2009\n2009 – 2010\n2010 – 2011\n2011 – 2014\n2014 – 2017\n2017 – 2019\n2019 - 2021\n2022 –2024\n2024 - 2025\n2025 - Current\nMr. Ong Yin Fook\nProfessor Paul Peach\nDr. R.K. Pillay\nDr. Tan Bock Thiam\nAssoc. Prof. Ir. Dr. Mashkuri Yaacob\nProfessor Lee Poh Aun\nProfessor Ir. Dr. Mashkuri Yaacob\nAssoc. Prof. Dr. Siti Salwah Salim\nAssoc. Prof. Dr. Zainab Awang Ngah\nProfessor Ir. Dr. N. Selvanathan\nAssoc. Prof. Dr. Siti Salwah Salim", "retrieval_text": "Title: History of the Faculty - History Overview - chunk 3\n\nScope: general\n\nSource document: General Handbook\n\nSection: History of the Faculty\n\nSubsection: History Overview\n\nCanonical questions:\n- What is the history overview of the Faculty of Computer Science and Information Technology?\n- What key milestones are mentioned in the faculty history?\n- When and how did computer facilities and services first begin at Universiti Malaya?\n- What role did the Computer Centre Board play in the university's computing development?\n- When was the Diploma in Computer Science introduced and how many students completed it?\n- When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?\n- When was the Computer Centre Study Board formed and what did it propose?\n- When was the Faculty of Computer Science and Information Technology officially formed?\n- What details are given about the first faculty building and its official opening in 1996?\n- When did the Bachelor of Information Technology programme start and what was its initial intake?\n- Which four departments were established in 1997?\n- What information is given about the additional building opened in 1998?\n\nQuestion variants:\n- When did the Bachelor of Information Technology programme start and what was its initial intake?\n- Which four departments were established in 1997?\n- What information is given about the additional building opened in 1998?\n- Can you tell me when did the Bachelor of Information Technology programme start and what was its initial intake?\n- Could you tell me which four departments were established in 1997?\n- Low-key, which four departments were established in 1997?\n- Could you tell me what information is given about the additional building opened in 1998?\n\nGrounded answer bank:\n- The Bachelor of Information Technology programme started in the 1996/97 academic session with an initial intake of 50 students.\n- The four departments established in 1997 were Artificial Intelligence, Software Engineering, Information and Library Science, and Computer Systems and Technology.\n- An additional building was built to accommodate the growing student population and was officially opened on 21 September 1998 by Dato' Dr. Fong Chan Onn, then Deputy Minister of Education.\n\nSource chunk text:\nThe Bachelor of Information Technology programme started in the\n1996/1997 Session, with an initial intake of 50 students. To accommodate\nan increase student population, an additional building was built which was\nofficially opened by Datuk Fong Chan Onn, Deputy Minister of Education on\nSeptember 21st, 1998.\nSince its establishment, the Faculty of Computer Science and Information\nTechnology have been led by a number of distinguished persons. The\nfollowing have served as Directors/Dean:\nHISTORY OF THE FACULTY\n1967 – 1973\n1973 – 1975\n1975 – 1978\n1978 – 1982\n1982 – 1990\n1990 – 1992\n1992 – 2000\n2000 – 2002\n2002 – 2004\n2004 – 2005\n2005 – 2006\n2006 – 2007\n2007 – 2009\n2009 – 2010\n2010 – 2011\n2011 – 2014\n2014 – 2017\n2017 – 2019\n2019 - 2021\n2022 –2024\n2024 - 2025\n2025 - Current\nMr. Ong Yin Fook\nProfessor Paul Peach\nDr. R.K. Pillay\nDr. Tan Bock Thiam\nAssoc. Prof. Ir. Dr. Mashkuri Yaacob\nProfessor Lee Poh Aun\nProfessor Ir. Dr. Mashkuri Yaacob\nAssoc. Prof. Dr. Siti Salwah Salim\nAssoc. Prof. Dr. Zainab Awang Ngah\nProfessor Ir. Dr. N. Selvanathan\nAssoc. Prof. Dr. Siti Salwah Salim\n\nKeywords: 1996/97, 1997, 1998, 50 students, Artificial Intelligence, Bachelor of Information Technology, Fong Chan Onn, accommodate, additional, additional building, assoc, aun, departments, have, history, mashkuri, prof, professor, salim, salwah, siti, yaacob"}
+{"kb_id": "RAGKB-0005", "knowledge_group_id": "KG-0011", "source_chunk_id": "SC-00005", "source_doc": "General Handbook", "scope_label": "general", "section": "History of the Faculty", "subsection": "History Overview", "title": "History of the Faculty - History Overview - chunk 4", "pages": [11], "chunk_index": 4, "group_size_chunks": 4, "group_size_qas": 31, "linked_index_ids": ["UMI-0002", "UMI-0003", "UMI-0124", "UMI-0125", "UMI-0126", "UMI-0127", "UMI-0128", "UMI-0129", "UMI-0130", "UMI-0131", "UMI-0132", "UMI-0133"], "group_canonical_questions": ["What is the history overview of the Faculty of Computer Science and Information Technology?", "What key milestones are mentioned in the faculty history?", "When and how did computer facilities and services first begin at Universiti Malaya?", "What role did the Computer Centre Board play in the university's computing development?", "When was the Diploma in Computer Science introduced and how many students completed it?", "When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?", "When was the Computer Centre Study Board formed and what did it propose?", "When was the Faculty of Computer Science and Information Technology officially formed?", "What details are given about the first faculty building and its official opening in 1996?", "When did the Bachelor of Information Technology programme start and what was its initial intake?", "Which four departments were established in 1997?", "What information is given about the additional building opened in 1998?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abdul", "abdullah", "abrizah", "ahmad", "associate", "baba", "chan", "chee", "chek", "chu", "professor", "wan"], "retrieval_tags": [], "source_text": "Professor Dato' Dr. Ir. Mashkuri Hj. Yaacob\nProfessor Dr. Mohd Sapiyan Baba\nProfessor Dr. David Ngo Chek Ling\nProfessor Dr. Wan Ahmad Tajuddin Wan Abdullah\nProfessor Dr. Siti Salwah Salim\nProfessor Dr. Abdullah Gani\nProfessor Dr. Abrizah Abdullah\nProfessor Datin Dr. Sameem Abdul Kareem\nProfessor Dr. Loo Chu Kiong\nProfessor Ir. Dr. Chan Chee Seng\nAssociate Professor Dr. Norisma Idris", "retrieval_text": "Title: History of the Faculty - History Overview - chunk 4\n\nScope: general\n\nSource document: General Handbook\n\nSection: History of the Faculty\n\nSubsection: History Overview\n\nCanonical questions:\n- What is the history overview of the Faculty of Computer Science and Information Technology?\n- What key milestones are mentioned in the faculty history?\n- When and how did computer facilities and services first begin at Universiti Malaya?\n- What role did the Computer Centre Board play in the university's computing development?\n- When was the Diploma in Computer Science introduced and how many students completed it?\n- When were the Master of Computer Science and Doctor of Philosophy research programmes approved and administered?\n- When was the Computer Centre Study Board formed and what did it propose?\n- When was the Faculty of Computer Science and Information Technology officially formed?\n- What details are given about the first faculty building and its official opening in 1996?\n- When did the Bachelor of Information Technology programme start and what was its initial intake?\n- Which four departments were established in 1997?\n- What information is given about the additional building opened in 1998?\n\nSource chunk text:\nProfessor Dato' Dr. Ir. Mashkuri Hj. Yaacob\nProfessor Dr. Mohd Sapiyan Baba\nProfessor Dr. David Ngo Chek Ling\nProfessor Dr. Wan Ahmad Tajuddin Wan Abdullah\nProfessor Dr. Siti Salwah Salim\nProfessor Dr. Abdullah Gani\nProfessor Dr. Abrizah Abdullah\nProfessor Datin Dr. Sameem Abdul Kareem\nProfessor Dr. Loo Chu Kiong\nProfessor Ir. Dr. Chan Chee Seng\nAssociate Professor Dr. Norisma Idris\n\nKeywords: abdul, abdullah, abrizah, ahmad, associate, baba, chan, chee, chek, chu, professor, wan"}
+{"kb_id": "RAGKB-0006", "knowledge_group_id": "KG-0064", "source_chunk_id": "SC-00006", "source_doc": "General Handbook", "scope_label": "postgraduate", "section": "Academic Calendar 2025/2026", "subsection": "Master and Doctorate Level Academic Calendar", "title": "Academic Calendar 2025/2026 - Master and Doctorate Level Academic Calendar - chunk 1", "pages": [4], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 23, "linked_index_ids": ["UMI-0004", "UMI-0136", "UMI-0137", "UMI-0138", "UMI-0139", "UMI-0140", "UMI-0141", "UMI-0142", "UMI-0143"], "group_canonical_questions": ["What is the academic calendar for master and doctorate level in session 2025/2026?", "What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?", "When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?", "When are revision week and final examinations scheduled in Semester I for postgraduate students?", "What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?", "What dates are given for the special semester and its final examination for postgraduate students?", "Which public holidays are explicitly listed in the postgraduate academic calendar notes?", "What amendment or note is attached to the academic calendar for master and doctorate level?"], "chunk_question_variants": ["What is the academic calendar for master and doctorate level in session 2025/2026?", "What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?", "When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?", "When are revision week and final examinations scheduled in Semester I for postgraduate students?", "What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?", "What dates are given for the special semester and its final examination for postgraduate students?", "What amendment or note is attached to the academic calendar for master and doctorate level?", "Could you explain the academic calendar for master and doctorate level in session 2025/2026?", "Just asking, what's the academic calendar for master and doctorate level in session 2025/2026?", "Could you list the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?", "BTW, what are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?", "Can you tell me when are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?", "Can you tell me when are revision week and final examinations scheduled in Semester I for postgraduate students?", "So basically, when are revision week and final examinations scheduled in Semester I for postgraduate students?", "Could you list the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?", "Can you tell me when are the break, revision week, and final examination scheduled in Semester II for postgraduate students?", "Real quick, when are the break, revision week, and final examination scheduled in Semester II for postgraduate students?", "Could you tell me what dates are given for the special semester and its final examination for postgraduate students?"], "matched_qa_ids": ["qa_000004", "qa_000136", "qa_000137", "qa_000138", "qa_000139", "qa_000140", "qa_000141", "qa_000143", "qa_000402", "qa_000403", "qa_000624", "qa_000625", "qa_000626", "qa_000627", "qa_000628", "qa_000629", "qa_000630", "qa_000631", "qa_000632"], "grounded_answer_bank": ["The 2025/2026 master and doctorate academic calendar with Semester I, Semester II, and a special semester, covering orientation, lecture periods, mid-semester breaks, revision weeks, final examinations, and semester breaks. Semester I: Orientation (WOW) 05.10.2025-12.10.2025; lectures 13.10.2025-23.11.2025 and 01.12.2025-25.01.2026; mid-semester break 24.11.2025-30.11.2025; revision week 26.01.2026-01.02.2026; final examination 02.02.2026-22.02.2026; semester break 23.02.2026-08.03.2026. Semester II: lectures 09.03.2026-26.04.2026 and 04.05.2026-21.06.2026; break 27.04.2026-03.05.2026; revision week 22.06.2026-28.06.2026; final examination 29.06.2026-19.07.2026; semester break 20.07.2026-16.08.2026. Special semester: lectures 27.07.2026-13.09.2026; final examination 14.09.2026-20.09.2026; break 21.09.2026-28.09.2026. Public holidays listed include Deepavali, Christmas, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day. The notes state that the module registration and examination schedule can be referred to in the UM system guide, the calendar is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026.", "For master and doctorate students in Semester I, the main teaching periods are 13.10.2025 to 23.11.2025 and 01.12.2025 to 25.01.2026.", "The Semester I mid-semester break for postgraduate students is scheduled for 24.11.2025 to 30.11.2025.", "For postgraduate Semester I, revision week is 26.01.2026 to 01.02.2026 and the final examination period is 02.02.2026 to 22.02.2026.", "For master and doctorate students in Semester II, the main teaching periods are 09.03.2026 to 26.04.2026 and 04.05.2026 to 21.06.2026.", "For postgraduate Semester II, the break is 27.04.2026 to 03.05.2026, revision week is 22.06.2026 to 28.06.2026, and the final examination period is 29.06.2026 to 19.07.2026.", "The postgraduate special semester runs from 27.07.2026 to 13.09.2026, with the final examination from 14.09.2026 to 20.09.2026 and the special semester break from 21.09.2026 to 28.09.2026.", "The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026."], "retrieval_keywords": ["academic", "academic calendar", "amendment", "break", "doctorate", "examination", "final", "final examination", "lectures", "master", "master and doctorate", "mid", "notes", "postgraduate", "revision", "revision week", "semester", "semester I", "semester I break", "semester II", "semester II break", "special", "special semester", "special semester final examination", "week", "weeks"], "retrieval_tags": ["academic_calendar_2025_2026", "master_and_doctorate_level_academic_calendar", "postgraduate"], "source_text": "Lampiran B2\nACADEMIC CALENDAR 2025/2026 ACADEMIC SESSION\n(MASTER AND DOCTORATE LEVEL)\nAMENDMENT\n‘SEMESTER |\n‘Orientation (Week of Welcome)-WOW 1 week 05.10.2025 = «= 12.10.2025\nLectures, 6 weeks\" 19.10.2028 - 23.11.2025\nMid Semester | Break 1 week 24.11.2025 = © 30.11.2025\nLectures. 8 weeks\" 01.12.2025 = © 25.01.2026\nRevision Week 1 weeks\" 26.01.2028 © - 01.02.2026\n‘Semester | Final Examination 3 weeks\" 02.02.2026 - © 2202.2026\n‘Semester | Break 2 week 23.02.2028 - 08.03.2026\n22 weeks\n‘SEMESTER I\nLectures: 7 weeks\" 09.03.2026 - 26.04.2026\n‘Mid Semester II Break 1 week 27.04.2028 © - 03.05.2026\nLectures, 7 weeks* 04052026 - 21.06.2026\nRevision Week 1 week* 22.06.2026 - 28.06.2026\n‘Semester II Final Examination 3 weeks\" 29.06.2026 - 19.07.2026\n‘Semester Il Break 4 _weeks 20.07.2028 - 16.08.2026\n23 weeks\n‘SPECIAL SEMESTER\nLectures: 7 weeks\" 27.07.2026 - ~— 13.09.2026\n‘Special Semester Final Examination 1 week* 14092028 © - 20.09.2026\nSpecial Semester Break 1_week 21.09.2026 28.09.2026\n9 weeks\nNotes:", "retrieval_text": "Title: Academic Calendar 2025/2026 - Master and Doctorate Level Academic Calendar - chunk 1\n\nScope: postgraduate\n\nSource document: General Handbook\n\nSection: Academic Calendar 2025/2026\n\nSubsection: Master and Doctorate Level Academic Calendar\n\nCanonical questions:\n- What is the academic calendar for master and doctorate level in session 2025/2026?\n- What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?\n- When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for postgraduate students?\n- What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?\n- What dates are given for the special semester and its final examination for postgraduate students?\n- Which public holidays are explicitly listed in the postgraduate academic calendar notes?\n- What amendment or note is attached to the academic calendar for master and doctorate level?\n\nQuestion variants:\n- What is the academic calendar for master and doctorate level in session 2025/2026?\n- What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?\n- When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for postgraduate students?\n- What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?\n- What dates are given for the special semester and its final examination for postgraduate students?\n- What amendment or note is attached to the academic calendar for master and doctorate level?\n- Could you explain the academic calendar for master and doctorate level in session 2025/2026?\n- Just asking, what's the academic calendar for master and doctorate level in session 2025/2026?\n- Could you list the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?\n- BTW, what are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?\n\nGrounded answer bank:\n- The 2025/2026 master and doctorate academic calendar with Semester I, Semester II, and a special semester, covering orientation, lecture periods, mid-semester breaks, revision weeks, final examinations, and semester breaks. Semester I: Orientation (WOW) 05.10.2025-12.10.2025; lectures 13.10.2025-23.11.2025 and 01.12.2025-25.01.2026; mid-semester break 24.11.2025-30.11.2025; revision week 26.01.2026-01.02.2026; final examination 02.02.2026-22.02.2026; semester break 23.02.2026-08.03.2026. Semester II: lectures 09.03.2026-26.04.2026 and 04.05.2026-21.06.2026; break 27.04.2026-03.05.2026; revision week 22.06.2026-28.06.2026; final examination 29.06.2026-19.07.2026; semester break 20.07.2026-16.08.2026. Special semester: lectures 27.07.2026-13.09.2026; final examination 14.09.2026-20.09.2026; break 21.09.2026-28.09.2026. Public holidays listed include Deepavali, Christmas, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day. The notes state that the module registration and examination schedule can be referred to in the UM system guide, the calendar is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026.\n- For master and doctorate students in Semester I, the main teaching periods are 13.10.2025 to 23.11.2025 and 01.12.2025 to 25.01.2026.\n- The Semester I mid-semester break for postgraduate students is scheduled for 24.11.2025 to 30.11.2025.\n- For postgraduate Semester I, revision week is 26.01.2026 to 01.02.2026 and the final examination period is 02.02.2026 to 22.02.2026.\n- For master and doctorate students in Semester II, the main teaching periods are 09.03.2026 to 26.04.2026 and 04.05.2026 to 21.06.2026.\n- For postgraduate Semester II, the break is 27.04.2026 to 03.05.2026, revision week is 22.06.2026 to 28.06.2026, and the final examination period is 29.06.2026 to 19.07.2026.\n- The postgraduate special semester runs from 27.07.2026 to 13.09.2026, with the final examination from 14.09.2026 to 20.09.2026 and the special semester break from 21.09.2026 to 28.09.2026.\n- The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026.\n\nSource chunk text:\nLampiran B2\nACADEMIC CALENDAR 2025/2026 ACADEMIC SESSION\n(MASTER AND DOCTORATE LEVEL)\nAMENDMENT\n‘SEMESTER |\n‘Orientation (Week of Welcome)-WOW 1 week 05.10.2025 = «= 12.10.2025\nLectures, 6 weeks\" 19.10.2028 - 23.11.2025\nMid Semester | Break 1 week 24.11.2025 = © 30.11.2025\nLectures. 8 weeks\" 01.12.2025 = © 25.01.2026\nRevision Week 1 weeks\" 26.01.2028 © - 01.02.2026\n‘Semester | Final Examination 3 weeks\" 02.02.2026 - © 2202.2026\n‘Semester | Break 2 week 23.02.2028 - 08.03.2026\n22 weeks\n‘SEMESTER I\nLectures: 7 weeks\" 09.03.2026 - 26.04.2026\n‘Mid Semester II Break 1 week 27.04.2028 © - 03.05.2026\nLectures, 7 weeks* 04052026 - 21.06.2026\nRevision Week 1 week* 22.06.2026 - 28.06.2026\n‘Semester II Final Examination 3 weeks\" 29.06.2026 - 19.07.2026\n‘Semester Il Break 4 _weeks 20.07.2028 - 16.08.2026\n23 weeks\n‘SPECIAL SEMESTER\nLectures: 7 weeks\" 27.07.2026 - ~— 13.09.2026\n‘Special Semester Final Examination 1 week* 14092028 © - 20.09.2026\nSpecial Semester Break 1_week 21.09.2026 28.09.2026\n9 weeks\nNotes:\n\nKeywords: academic, academic calendar, amendment, break, doctorate, examination, final, final examination, lectures, master, master and doctorate, mid, notes, postgraduate, revision, revision week, semester, semester I, semester I break, semester II, semester II break, special, special semester, special semester final examination, week, weeks"}
+{"kb_id": "RAGKB-0007", "knowledge_group_id": "KG-0064", "source_chunk_id": "SC-00007", "source_doc": "General Handbook", "scope_label": "postgraduate", "section": "Academic Calendar 2025/2026", "subsection": "Master and Doctorate Level Academic Calendar", "title": "Academic Calendar 2025/2026 - Master and Doctorate Level Academic Calendar - chunk 2", "pages": [4], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 23, "linked_index_ids": ["UMI-0004", "UMI-0136", "UMI-0137", "UMI-0138", "UMI-0139", "UMI-0140", "UMI-0141", "UMI-0142", "UMI-0143"], "group_canonical_questions": ["What is the academic calendar for master and doctorate level in session 2025/2026?", "What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?", "When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?", "When are revision week and final examinations scheduled in Semester I for postgraduate students?", "What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?", "What dates are given for the special semester and its final examination for postgraduate students?", "Which public holidays are explicitly listed in the postgraduate academic calendar notes?", "What amendment or note is attached to the academic calendar for master and doctorate level?"], "chunk_question_variants": ["Which public holidays are explicitly listed in the postgraduate academic calendar notes?", "Could you tell me which public holidays are explicitly listed in the postgraduate academic calendar notes?", "Just asking, which public holidays are explicitly listed in the postgraduate academic calendar notes?", "Could you tell me what amendment or note is attached to the academic calendar for master and doctorate level?"], "matched_qa_ids": ["qa_000142", "qa_000633", "qa_000634", "qa_000635"], "grounded_answer_bank": ["The postgraduate academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.", "The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026."], "retrieval_keywords": ["academic calendar", "amendment", "august", "change", "day", "edu", "february", "june", "master and doctorate", "may", "monday", "notes", "postgraduate", "public holidays", "sunday", "thursday", "tuesday", "wednesday"], "retrieval_tags": ["academic_calendar_2025_2026", "master_and_doctorate_level_academic_calendar", "postgraduate"], "source_text": "(1) The Module Registration and Examination Schedule can be referred to at tips /umsitsquide um edu my. All,\ninformation is subject to change.\n(0) The Academic Calendar has taken into account public and festive holidays and is subject to change\nDeepavali 20 October 2025 (Monday)\nCChvistnas Day 2 December 2025 (Thursday)\nNew Year 04 Janvary 2026 (Thursday)\n‘Thaipusam 01 February 2026 (Sunday)\nFederal Tertitory Day 01 February 2026 (Sunday)\n‘Chinese New Year 17 & 18 Fetruary 2026 (Tuesday & Wednesday)\nNuzul Al-Quran, 07 March 2026 (Saturday)\nEdu Fn 20.21 March 2026 (Friday & Saturday)\nLabour Day 1 May 2026 (Friday)\nidl Adhal 27 May 2026 (Wednesday)\nWesak Day 34 May 2026 (Sunday)\nHis Majesty the King's Birthday (1 June 2026 (Monday)\n‘Awal Muharram 16 June 2028 (Tuesday)\nProphet Munammads (Mauidur Rasu) 26 August 2026 (Tuesday)\natonal Day 31 August 2026 (Monday)\nMalaysia Day 16 September 2026 (Wednesday)\n(DUM PG est 2026 (09.11 June 2026 (Tuesday - Thursday)\n*Senate August 28, 2025", "retrieval_text": "Title: Academic Calendar 2025/2026 - Master and Doctorate Level Academic Calendar - chunk 2\n\nScope: postgraduate\n\nSource document: General Handbook\n\nSection: Academic Calendar 2025/2026\n\nSubsection: Master and Doctorate Level Academic Calendar\n\nCanonical questions:\n- What is the academic calendar for master and doctorate level in session 2025/2026?\n- What are the key teaching and lecture periods in Semester I for master and doctorate students in session 2025/2026?\n- When are the mid-semester or lecture breaks scheduled for postgraduate students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for postgraduate students?\n- What are the key teaching and lecture periods in Semester II for master and doctorate students in session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for postgraduate students?\n- What dates are given for the special semester and its final examination for postgraduate students?\n- Which public holidays are explicitly listed in the postgraduate academic calendar notes?\n- What amendment or note is attached to the academic calendar for master and doctorate level?\n\nQuestion variants:\n- Which public holidays are explicitly listed in the postgraduate academic calendar notes?\n- Could you tell me which public holidays are explicitly listed in the postgraduate academic calendar notes?\n- Just asking, which public holidays are explicitly listed in the postgraduate academic calendar notes?\n- Could you tell me what amendment or note is attached to the academic calendar for master and doctorate level?\n\nGrounded answer bank:\n- The postgraduate academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.\n- The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM PG iFest 2026 is scheduled for 09-11 June 2026.\n\nSource chunk text:\n(1) The Module Registration and Examination Schedule can be referred to at tips /umsitsquide um edu my. All,\ninformation is subject to change.\n(0) The Academic Calendar has taken into account public and festive holidays and is subject to change\nDeepavali 20 October 2025 (Monday)\nCChvistnas Day 2 December 2025 (Thursday)\nNew Year 04 Janvary 2026 (Thursday)\n‘Thaipusam 01 February 2026 (Sunday)\nFederal Tertitory Day 01 February 2026 (Sunday)\n‘Chinese New Year 17 & 18 Fetruary 2026 (Tuesday & Wednesday)\nNuzul Al-Quran, 07 March 2026 (Saturday)\nEdu Fn 20.21 March 2026 (Friday & Saturday)\nLabour Day 1 May 2026 (Friday)\nidl Adhal 27 May 2026 (Wednesday)\nWesak Day 34 May 2026 (Sunday)\nHis Majesty the King's Birthday (1 June 2026 (Monday)\n‘Awal Muharram 16 June 2028 (Tuesday)\nProphet Munammads (Mauidur Rasu) 26 August 2026 (Tuesday)\natonal Day 31 August 2026 (Monday)\nMalaysia Day 16 September 2026 (Wednesday)\n(DUM PG est 2026 (09.11 June 2026 (Tuesday - Thursday)\n*Senate August 28, 2025\n\nKeywords: academic calendar, amendment, august, change, day, edu, february, june, master and doctorate, may, monday, notes, postgraduate, public holidays, sunday, thursday, tuesday, wednesday"}
+{"kb_id": "RAGKB-0008", "knowledge_group_id": "KG-0087", "source_chunk_id": "SC-00008", "source_doc": "General Handbook", "scope_label": "undergraduate", "section": "Academic Calendar 2025/2026", "subsection": "Bachelor Degree Level Academic Calendar", "title": "Academic Calendar 2025/2026 - Bachelor Degree Level Academic Calendar - chunk 1", "pages": [12], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 23, "linked_index_ids": ["UMI-0005", "UMI-0144", "UMI-0145", "UMI-0146", "UMI-0147", "UMI-0148", "UMI-0149", "UMI-0150", "UMI-0151"], "group_canonical_questions": ["What is the academic calendar for bachelor degree level in session 2025/2026?", "What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?", "When is the mid-semester break scheduled for bachelor degree students in Semester I?", "When are revision week and final examinations scheduled in Semester I for bachelor degree students?", "What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?", "Is there a special semester shown for bachelor degree students and what dates are provided?", "Which public holidays are listed in the bachelor degree academic calendar notes?", "What amendment or note accompanies the bachelor degree academic calendar?"], "chunk_question_variants": ["What is the academic calendar for bachelor degree level in session 2025/2026?", "What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?", "When is the mid-semester break scheduled for bachelor degree students in Semester I?", "When are revision week and final examinations scheduled in Semester I for bachelor degree students?", "What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?", "Is there a special semester shown for bachelor degree students and what dates are provided?", "Which public holidays are listed in the bachelor degree academic calendar notes?", "What amendment or note accompanies the bachelor degree academic calendar?", "Could you explain the academic calendar for bachelor degree level in session 2025/2026?", "Low-key, what's the academic calendar for bachelor degree level in session 2025/2026?", "Could you list the main lecture periods for bachelor degree students in Semester I of session 2025/2026?", "Quick one: what are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?", "Can you tell me when is the mid-semester break scheduled for bachelor degree students in Semester I?", "Can you tell me when are revision week and final examinations scheduled in Semester I for bachelor degree students?", "Ngl, when are revision week and final examinations scheduled in Semester I for bachelor degree students?", "Could you list the main lecture periods for bachelor degree students in Semester II of session 2025/2026?", "Can you tell me when are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?", "Quick check: when are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?", "Can you clarify whether there a special semester shown for bachelor degree students and what dates are provided?"], "matched_qa_ids": ["qa_000005", "qa_000144", "qa_000145", "qa_000146", "qa_000147", "qa_000148", "qa_000149", "qa_000150", "qa_000151", "qa_000404", "qa_000405", "qa_000636", "qa_000637", "qa_000638", "qa_000639", "qa_000640", "qa_000641", "qa_000642", "qa_000643", "qa_000644"], "grounded_answer_bank": ["The 2025/2026 bachelor degree academic calendar with Semester I, Semester II, and a special semester, covering orientation, lecture periods, mid-semester breaks, revision weeks, final examinations, and semester breaks. Semester I: Orientation (WOW) 05.10.2025-12.10.2025; lectures 13.10.2025-23.11.2025 and 01.12.2025-25.01.2026; mid-semester break 24.11.2025-30.11.2025; revision week 26.01.2026-01.02.2026; final examination 02.02.2026-22.02.2026; semester break 23.02.2026-08.03.2026. Semester II: lectures 09.03.2026-26.04.2026 and 04.05.2026-21.06.2026; break 27.04.2026-03.05.2026; revision week 22.06.2026-28.06.2026; final examination 29.06.2026-19.07.2026; semester break 20.07.2026-16.08.2026. Special semester: lectures 27.07.2026-13.09.2026; final examination 14.09.2026-20.09.2026; break 21.09.2026-28.09.2026. Public holidays listed include Deepavali, Christmas, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day. The notes state that the module registration and examination schedule can be referred to in the UM system guide, the calendar is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026.", "For bachelor degree students in Semester I, the main lecture periods are 13.10.2025 to 23.11.2025 and 01.12.2025 to 25.01.2026.", "The Semester I mid-semester break for bachelor degree students is scheduled for 24.11.2025 to 30.11.2025.", "For bachelor degree Semester I, revision week is 26.01.2026 to 01.02.2026 and the final examination period is 02.02.2026 to 22.02.2026.", "For bachelor degree students in Semester II, the main lecture periods are 09.03.2026 to 26.04.2026 and 04.05.2026 to 21.06.2026.", "For bachelor degree Semester II, the break is 27.04.2026 to 03.05.2026, revision week is 22.06.2026 to 28.06.2026, and the final examination period is 29.06.2026 to 19.07.2026.", "Yes. The bachelor degree calendar shows a special semester with lectures from 27.07.2026 to 13.09.2026, the final examination from 14.09.2026 to 20.09.2026, and the break from 21.09.2026 to 28.09.2026.", "The bachelor degree academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.", "The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026."], "retrieval_keywords": ["academic", "academic calendar", "amendment", "bachelor", "break", "calendar", "examination", "final", "final examination", "lectures", "mid", "notes", "public holidays", "revision", "revision week", "semester", "semester I", "semester I break", "semester II", "semester II break", "special", "special semester", "week", "weeks"], "retrieval_tags": ["academic_calendar_2025_2026", "bachelor_degree_level_academic_calendar", "undergraduate"], "source_text": "Ey\nACADEMIC CALENDAR et\nSESSION 2025/2026 A\neee\nACADEMIC CALENDAR 2025/2026 ACADEMIC SESSION\n(BACHELOR DEGREE LEVEL)\nAMENDMENT\nSEMESTER |\nOrientation (Week of Welcome)-WOW 1 week 05.10.2025 - 12.10.2025\nLectures 6 weeks* 13.10.2025 - = 23.11.2025\nMid Semester | Break 1 week 24.11.2025 - 30.11.2025\nLectures, 8 weeks* 01.12.2025 - — 26.01.2026\nRevision Week 1 weeks* 26.01.2026 - 01.02.2026\n‘Semester | Final Examination 3 weeks* 02.02.2026 - 22.02.2026\n‘Semester | Break 2 week 23.02.2026 - 08.03.2026\n22 weeks\n‘SEMESTER I\nLectures 7 weeks* 09.03.2026 - 26.04.2026\nMid Semester II Break 1 week 27.04.2026 - 03.05.2026\nLectures. 7 weeks* 04.05.2026 - 21.06.2026\nRevision Week 1 week\" 22.06.2026 - 28.06.2026\n‘Semester II Final Examination 3 weeks* 29.06.2026 - 19.07.2026\n‘Semester II Break 4_weeks 20.07.2026 - 16.08.2026\n23 weeks\n‘SPECIAL SEMESTER\nLectures: 7 weeks* 27.07.2026 - — 13.09.2026\n‘Special Semester Final Examination 1 week\" 14.09.2026 - 20.09.2026\n‘Special Semester Break 1_week 21.09.2026 28.09.2026\n9 weeks\nNotes:", "retrieval_text": "Title: Academic Calendar 2025/2026 - Bachelor Degree Level Academic Calendar - chunk 1\n\nScope: undergraduate\n\nSource document: General Handbook\n\nSection: Academic Calendar 2025/2026\n\nSubsection: Bachelor Degree Level Academic Calendar\n\nCanonical questions:\n- What is the academic calendar for bachelor degree level in session 2025/2026?\n- What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?\n- When is the mid-semester break scheduled for bachelor degree students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for bachelor degree students?\n- What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?\n- Is there a special semester shown for bachelor degree students and what dates are provided?\n- Which public holidays are listed in the bachelor degree academic calendar notes?\n- What amendment or note accompanies the bachelor degree academic calendar?\n\nQuestion variants:\n- What is the academic calendar for bachelor degree level in session 2025/2026?\n- What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?\n- When is the mid-semester break scheduled for bachelor degree students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for bachelor degree students?\n- What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?\n- Is there a special semester shown for bachelor degree students and what dates are provided?\n- Which public holidays are listed in the bachelor degree academic calendar notes?\n- What amendment or note accompanies the bachelor degree academic calendar?\n- Could you explain the academic calendar for bachelor degree level in session 2025/2026?\n- Low-key, what's the academic calendar for bachelor degree level in session 2025/2026?\n- Could you list the main lecture periods for bachelor degree students in Semester I of session 2025/2026?\n\nGrounded answer bank:\n- The 2025/2026 bachelor degree academic calendar with Semester I, Semester II, and a special semester, covering orientation, lecture periods, mid-semester breaks, revision weeks, final examinations, and semester breaks. Semester I: Orientation (WOW) 05.10.2025-12.10.2025; lectures 13.10.2025-23.11.2025 and 01.12.2025-25.01.2026; mid-semester break 24.11.2025-30.11.2025; revision week 26.01.2026-01.02.2026; final examination 02.02.2026-22.02.2026; semester break 23.02.2026-08.03.2026. Semester II: lectures 09.03.2026-26.04.2026 and 04.05.2026-21.06.2026; break 27.04.2026-03.05.2026; revision week 22.06.2026-28.06.2026; final examination 29.06.2026-19.07.2026; semester break 20.07.2026-16.08.2026. Special semester: lectures 27.07.2026-13.09.2026; final examination 14.09.2026-20.09.2026; break 21.09.2026-28.09.2026. Public holidays listed include Deepavali, Christmas, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day. The notes state that the module registration and examination schedule can be referred to in the UM system guide, the calendar is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026.\n- For bachelor degree students in Semester I, the main lecture periods are 13.10.2025 to 23.11.2025 and 01.12.2025 to 25.01.2026.\n- The Semester I mid-semester break for bachelor degree students is scheduled for 24.11.2025 to 30.11.2025.\n- For bachelor degree Semester I, revision week is 26.01.2026 to 01.02.2026 and the final examination period is 02.02.2026 to 22.02.2026.\n- For bachelor degree students in Semester II, the main lecture periods are 09.03.2026 to 26.04.2026 and 04.05.2026 to 21.06.2026.\n- For bachelor degree Semester II, the break is 27.04.2026 to 03.05.2026, revision week is 22.06.2026 to 28.06.2026, and the final examination period is 29.06.2026 to 19.07.2026.\n- Yes. The bachelor degree calendar shows a special semester with lectures from 27.07.2026 to 13.09.2026, the final examination from 14.09.2026 to 20.09.2026, and the break from 21.09.2026 to 28.09.2026.\n- The bachelor degree academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.\n- The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026.\n\nSource chunk text:\nEy\nACADEMIC CALENDAR et\nSESSION 2025/2026 A\neee\nACADEMIC CALENDAR 2025/2026 ACADEMIC SESSION\n(BACHELOR DEGREE LEVEL)\nAMENDMENT\nSEMESTER |\nOrientation (Week of Welcome)-WOW 1 week 05.10.2025 - 12.10.2025\nLectures 6 weeks* 13.10.2025 - = 23.11.2025\nMid Semester | Break 1 week 24.11.2025 - 30.11.2025\nLectures, 8 weeks* 01.12.2025 - — 26.01.2026\nRevision Week 1 weeks* 26.01.2026 - 01.02.2026\n‘Semester | Final Examination 3 weeks* 02.02.2026 - 22.02.2026\n‘Semester | Break 2 week 23.02.2026 - 08.03.2026\n22 weeks\n‘SEMESTER I\nLectures 7 weeks* 09.03.2026 - 26.04.2026\nMid Semester II Break 1 week 27.04.2026 - 03.05.2026\nLectures. 7 weeks* 04.05.2026 - 21.06.2026\nRevision Week 1 week\" 22.06.2026 - 28.06.2026\n‘Semester II Final Examination 3 weeks* 29.06.2026 - 19.07.2026\n‘Semester II Break 4_weeks 20.07.2026 - 16.08.2026\n23 weeks\n‘SPECIAL SEMESTER\nLectures: 7 weeks* 27.07.2026 - — 13.09.2026\n‘Special Semester Final Examination 1 week\" 14.09.2026 - 20.09.2026\n‘Special Semester Break 1_week 21.09.2026 28.09.2026\n9 weeks\nNotes:\n\nKeywords: academic, academic calendar, amendment, bachelor, break, calendar, examination, final, final examination, lectures, mid, notes, public holidays, revision, revision week, semester, semester I, semester I break, semester II, semester II break, special, special semester, week, weeks"}
+{"kb_id": "RAGKB-0009", "knowledge_group_id": "KG-0087", "source_chunk_id": "SC-00009", "source_doc": "General Handbook", "scope_label": "undergraduate", "section": "Academic Calendar 2025/2026", "subsection": "Bachelor Degree Level Academic Calendar", "title": "Academic Calendar 2025/2026 - Bachelor Degree Level Academic Calendar - chunk 2", "pages": [12], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 23, "linked_index_ids": ["UMI-0005", "UMI-0144", "UMI-0145", "UMI-0146", "UMI-0147", "UMI-0148", "UMI-0149", "UMI-0150", "UMI-0151"], "group_canonical_questions": ["What is the academic calendar for bachelor degree level in session 2025/2026?", "What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?", "When is the mid-semester break scheduled for bachelor degree students in Semester I?", "When are revision week and final examinations scheduled in Semester I for bachelor degree students?", "What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?", "When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?", "Is there a special semester shown for bachelor degree students and what dates are provided?", "Which public holidays are listed in the bachelor degree academic calendar notes?", "What amendment or note accompanies the bachelor degree academic calendar?"], "chunk_question_variants": ["Could you tell me which public holidays are listed in the bachelor degree academic calendar notes?", "Hey, which public holidays are listed in the bachelor degree academic calendar notes?", "Could you tell me what amendment or note accompanies the bachelor degree academic calendar?"], "matched_qa_ids": ["qa_000645", "qa_000646", "qa_000647"], "grounded_answer_bank": ["The bachelor degree academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.", "The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026."], "retrieval_keywords": ["academic calendar", "amendment", "august", "bachelor", "change", "day", "eidul", "february", "june", "may", "monday", "notes", "public holidays", "sunday", "thursday", "tuesday", "wednesday"], "retrieval_tags": ["academic_calendar_2025_2026", "bachelor_degree_level_academic_calendar", "undergraduate"], "source_text": "(1) The Module Registration and Examination Schedule can be referred to at https://umsitsquide um edumy, All\ninformation is subject to change.\n(() The Academic Calendar has taken into account public and festive holidays and is subject to change’\nDeepavali 20 October 2028 (Monday)\n‘Christmas Day 25 December 2025 (Thursday)\nNew Year 01 January 2026 (Thursday)\n‘Thaipusam 01 February 2026 (Sunday)\nFederal Tertory Day (01 February 2026 (Sunday)\nChinese New Year 17 & 18 February 2026 (Tuesday & Wednesday)\n‘Nuzul Al-Quran 07 March 2026 (Saturday)\nEidul Ft 20 & 21 March 2026 (Friday & Saturday)\nLabour Day, 01 May 2026 (Friday)\nEidul Adna (27 May 2026 (Wednesday)\nWesak Day 31 May 2026 (Sunday)\nHis Majesty the King's Birthday 1 June 2026 (Monday)\n‘Awal Muharram 16 June 2026 (Tuesday)\nProphet Muhammad's (Maulidur Rasul) 25 August 2026 (Tuesday)\n‘National Day 31 August 2026 (Monday)\nMalaysia Day 16 September 2026 (Wednesday)\n() UM UG Fest 2026 (09-11 June 2026 (Tuesday - Thursday)\n*Senate August 28, 2025", "retrieval_text": "Title: Academic Calendar 2025/2026 - Bachelor Degree Level Academic Calendar - chunk 2\n\nScope: undergraduate\n\nSource document: General Handbook\n\nSection: Academic Calendar 2025/2026\n\nSubsection: Bachelor Degree Level Academic Calendar\n\nCanonical questions:\n- What is the academic calendar for bachelor degree level in session 2025/2026?\n- What are the main lecture periods for bachelor degree students in Semester I of session 2025/2026?\n- When is the mid-semester break scheduled for bachelor degree students in Semester I?\n- When are revision week and final examinations scheduled in Semester I for bachelor degree students?\n- What are the main lecture periods for bachelor degree students in Semester II of session 2025/2026?\n- When are the break, revision week, and final examination scheduled in Semester II for bachelor degree students?\n- Is there a special semester shown for bachelor degree students and what dates are provided?\n- Which public holidays are listed in the bachelor degree academic calendar notes?\n- What amendment or note accompanies the bachelor degree academic calendar?\n\nQuestion variants:\n- Could you tell me which public holidays are listed in the bachelor degree academic calendar notes?\n- Hey, which public holidays are listed in the bachelor degree academic calendar notes?\n- Could you tell me what amendment or note accompanies the bachelor degree academic calendar?\n\nGrounded answer bank:\n- The bachelor degree academic calendar notes list Deepavali, Christmas Day, New Year, Thaipusam, Federal Territory Day, Chinese New Year, Nuzul Al-Quran, Eidul Fitri, Labour Day, Eidul Adha, Wesak Day, His Majesty the King's Birthday, Awal Muharram, Prophet Muhammad's Birthday, National Day, and Malaysia Day.\n- The notes state that the module registration and examination schedule can be referred to in the UM system guide, the academic calendar takes public and festive holidays into account, the information is subject to change, and UM UG iFest 2026 is scheduled for 09-11 June 2026.\n\nSource chunk text:\n(1) The Module Registration and Examination Schedule can be referred to at https://umsitsquide um edumy, All\ninformation is subject to change.\n(() The Academic Calendar has taken into account public and festive holidays and is subject to change’\nDeepavali 20 October 2028 (Monday)\n‘Christmas Day 25 December 2025 (Thursday)\nNew Year 01 January 2026 (Thursday)\n‘Thaipusam 01 February 2026 (Sunday)\nFederal Tertory Day (01 February 2026 (Sunday)\nChinese New Year 17 & 18 February 2026 (Tuesday & Wednesday)\n‘Nuzul Al-Quran 07 March 2026 (Saturday)\nEidul Ft 20 & 21 March 2026 (Friday & Saturday)\nLabour Day, 01 May 2026 (Friday)\nEidul Adna (27 May 2026 (Wednesday)\nWesak Day 31 May 2026 (Sunday)\nHis Majesty the King's Birthday 1 June 2026 (Monday)\n‘Awal Muharram 16 June 2026 (Tuesday)\nProphet Muhammad's (Maulidur Rasul) 25 August 2026 (Tuesday)\n‘National Day 31 August 2026 (Monday)\nMalaysia Day 16 September 2026 (Wednesday)\n() UM UG Fest 2026 (09-11 June 2026 (Tuesday - Thursday)\n*Senate August 28, 2025\n\nKeywords: academic calendar, amendment, august, bachelor, change, day, eidul, february, june, may, monday, notes, public holidays, sunday, thursday, tuesday, wednesday"}
+{"kb_id": "RAGKB-0010", "knowledge_group_id": "KG-0015", "source_chunk_id": "SC-00010", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Teaching Labs", "title": "Teaching and Learning Facilities - Teaching Labs - chunk 1", "pages": [13], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 38, "linked_index_ids": ["UMI-0006", "UMI-0116", "UMI-0117", "UMI-0152", "UMI-0153", "UMI-0154", "UMI-0155", "UMI-0156", "UMI-0157", "UMI-0158", "UMI-0159", "UMI-0160", "UMI-0161", "UMI-0162", "UMI-0163"], "group_canonical_questions": ["What teaching labs are available in the faculty?", "Where is the postgraduate lab and who may use it?", "Which labs are prioritized for multimedia courses or robotics-related learning?", "What facilities and access arrangements are described for Micro Lab 1 (MM1)?", "What facilities and access arrangements are described for Micro Lab 2 (MM2)?", "What facilities and access arrangements are described for the Postgraduate Lab (ML)?", "What equipment and access arrangements are described for the CCNA Lab (CCNA)?", "What equipment and purpose are described for the Robotic Teaching Lab?", "What facilities and student access are described for Micro Lab 3 (MM3)?", "What facilities and student access are described for Micro Lab 4 (MM4)?", "What facilities and student access are described for Micro Lab 6 (MM6)?", "What facilities and student access are described for Stroustrup Lab 1?", "Which teaching labs prioritize undergraduate use and which are open to postgraduate students?", "Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?"], "chunk_question_variants": ["What teaching labs are available in the faculty?", "Where is the postgraduate lab and who may use it?", "What facilities and access arrangements are described for Micro Lab 1 (MM1)?", "What facilities and access arrangements are described for Micro Lab 2 (MM2)?", "What facilities and access arrangements are described for the Postgraduate Lab (ML)?", "What equipment and access arrangements are described for the CCNA Lab (CCNA)?", "Which teaching labs prioritize undergraduate use and which are open to postgraduate students?", "Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?", "Could you tell me what teaching labs are available in the faculty?", "Quick one: what teaching labs are available in the faculty?", "Can you tell me where is the postgraduate lab and who may use it?", "BTW, where is the postgraduate lab and who may use it?", "Could you tell me what facilities and access arrangements are described for Micro Lab 1 (MM1)?", "Low-key, what facilities and access arrangements are described for Micro Lab 1 (MM1)?", "Could you tell me what facilities and access arrangements are described for Micro Lab 2 (MM2)?", "Could you tell me what facilities and access arrangements are described for the Postgraduate Lab (ML)?", "BTW, what facilities and access arrangements are described for the Postgraduate Lab (ML)?", "Could you tell me what equipment and access arrangements are described for the CCNA Lab (CCNA)?", "Could you tell me which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Quick one: which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Could you tell me which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?"], "matched_qa_ids": ["qa_000006", "qa_000116", "qa_000152", "qa_000153", "qa_000154", "qa_000155", "qa_000161", "qa_000162", "qa_000163", "qa_000406", "qa_000407", "qa_000597", "qa_000598", "qa_000648", "qa_000649", "qa_000650", "qa_000651", "qa_000652", "qa_000653", "qa_000663", "qa_000664", "qa_000665"], "grounded_answer_bank": ["The faculty provides nine teaching laboratories: Micro Lab 1 (MM1), Micro Lab 2 (MM2), the Postgraduate Lab (ML), the CCNA Lab, the Robotic Teaching Lab, Micro Lab 3 (MM3), Micro Lab 4 (MM4), Micro Lab 6 (MM6), and Stroustrup Lab 1.", "The Postgraduate Lab (ML) has 33 computers connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to FSKTM postgraduate students.", "Micro Lab 1 (MM1) has 50 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to FSKTM undergraduate students.", "Micro Lab 2 (MM2) has 12 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to all FSKTM undergraduate students.", "The Postgraduate Lab has 33 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to all FSKTM postgraduate students.", "The CCNA Lab has 41 Cisco computers, two Cisco 1760 routers, four Cisco 1760 routers for students, and two Cisco 2950 Catalyst series switches. It is opened to all FSKTM students.", "The handbook shows that labs such as MM1, MM2, and Stroustrup Lab 1 are specifically opened to undergraduate students, while labs such as MM3, MM4, MM6, and the Postgraduate Lab include postgraduate access or postgraduate priority depending on the lab.", "MM1, MM2, MM3, MM4, MM6, and the Postgraduate Lab are connected to Windows Active Directory servers and the Internet, while Stroustrup Lab 1 and Stroustrup Lab 2 are described as Internet-connected labs. Windows 10 is specifically mentioned for MM1, MM2, MM6, and Stroustrup Lab 1.", "The Robotic Teaching Lab supports robotics-related learning, MM6 gives priority to Multimedia students, the CCNA Lab supports networking practice, and the specialized labs support practical work in areas such as AI, circuits, and research-oriented computing."], "retrieval_keywords": ["CCNA Lab", "Cisco", "ML", "MM1", "MM2", "Micro Lab 1", "Micro Lab 2", "Postgraduate Lab", "Windows 10", "Windows Active Directory", "access policy", "active", "all", "ccna", "connected", "directory", "fsktm", "has", "internet", "lab", "micro lab", "multimedia", "networking", "operating", "postgraduate", "robotic", "robotics", "system", "teaching labs", "undergraduate", "units", "windows"], "retrieval_tags": ["general", "teaching_and_learning_facilities", "teaching_labs"], "source_text": "(A) TEACHING LABS\nThe Faculty of Computer Science and Information Technology provide 9 laboratories for\nteaching and learning purposes. The laboratories are as follows:\nBLOCK A\nMicro Lab 1 (MM1)\nThis lab has 50 units of computer that are connected to Windows Active Directory servers and\nthe Internet. The operating system for these PCs is Windows 10. This lab is opened to all\nFSKTM undergraduate students.\nMicro Lab 2 (MM2)\nThis lab has 12 units of computer that are connected to Windows Active Directory servers and\nthe Internet. The operating system for these PCs is Windows 10. This lab is opened to all\nFSKTM undergraduate students.\nPostgraduate Lab (ML)\nThis lab has 33 units of computer. All the computers are connected to Windows Active Directory\nservers and the Internet. The operating system for these PCs is Windows 10. This lab is opened\nto all FSKTM postgraduate students.\nCCNA LAB (CCNA)\nThis lab has 41 units of computer. The operating system for these workstations is Windows 10.\nThere are also 25 units of Cisco 1700 Series Router, 4 units Cisco 1760 Series Router and 12", "retrieval_text": "Title: Teaching and Learning Facilities - Teaching Labs - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Teaching Labs\n\nCanonical questions:\n- What teaching labs are available in the faculty?\n- Where is the postgraduate lab and who may use it?\n- Which labs are prioritized for multimedia courses or robotics-related learning?\n- What facilities and access arrangements are described for Micro Lab 1 (MM1)?\n- What facilities and access arrangements are described for Micro Lab 2 (MM2)?\n- What facilities and access arrangements are described for the Postgraduate Lab (ML)?\n- What equipment and access arrangements are described for the CCNA Lab (CCNA)?\n- What equipment and purpose are described for the Robotic Teaching Lab?\n- What facilities and student access are described for Micro Lab 3 (MM3)?\n- What facilities and student access are described for Micro Lab 4 (MM4)?\n- What facilities and student access are described for Micro Lab 6 (MM6)?\n- What facilities and student access are described for Stroustrup Lab 1?\n- Which teaching labs prioritize undergraduate use and which are open to postgraduate students?\n- Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?\n- Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?\n\nQuestion variants:\n- What teaching labs are available in the faculty?\n- Where is the postgraduate lab and who may use it?\n- What facilities and access arrangements are described for Micro Lab 1 (MM1)?\n- What facilities and access arrangements are described for Micro Lab 2 (MM2)?\n- What facilities and access arrangements are described for the Postgraduate Lab (ML)?\n- What equipment and access arrangements are described for the CCNA Lab (CCNA)?\n- Which teaching labs prioritize undergraduate use and which are open to postgraduate students?\n- Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?\n- Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?\n- Could you tell me what teaching labs are available in the faculty?\n- Quick one: what teaching labs are available in the faculty?\n- Can you tell me where is the postgraduate lab and who may use it?\n\nGrounded answer bank:\n- The faculty provides nine teaching laboratories: Micro Lab 1 (MM1), Micro Lab 2 (MM2), the Postgraduate Lab (ML), the CCNA Lab, the Robotic Teaching Lab, Micro Lab 3 (MM3), Micro Lab 4 (MM4), Micro Lab 6 (MM6), and Stroustrup Lab 1.\n- The Postgraduate Lab (ML) has 33 computers connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to FSKTM postgraduate students.\n- Micro Lab 1 (MM1) has 50 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to FSKTM undergraduate students.\n- Micro Lab 2 (MM2) has 12 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to all FSKTM undergraduate students.\n- The Postgraduate Lab has 33 computer units connected to Windows Active Directory servers and the Internet, uses Windows 10, and is open to all FSKTM postgraduate students.\n- The CCNA Lab has 41 Cisco computers, two Cisco 1760 routers, four Cisco 1760 routers for students, and two Cisco 2950 Catalyst series switches. It is opened to all FSKTM students.\n- The handbook shows that labs such as MM1, MM2, and Stroustrup Lab 1 are specifically opened to undergraduate students, while labs such as MM3, MM4, MM6, and the Postgraduate Lab include postgraduate access or postgraduate priority depending on the lab.\n- MM1, MM2, MM3, MM4, MM6, and the Postgraduate Lab are connected to Windows Active Directory servers and the Internet, while Stroustrup Lab 1 and Stroustrup Lab 2 are described as Internet-connected labs. Windows 10 is specifically mentioned for MM1, MM2, MM6, and Stroustrup Lab 1.\n- The Robotic Teaching Lab supports robotics-related learning, MM6 gives priority to Multimedia students, the CCNA Lab supports networking practice, and the specialized labs support practical work in areas such as AI, circuits, and research-oriented computing.\n\nSource chunk text:\n(A) TEACHING LABS\nThe Faculty of Computer Science and Information Technology provide 9 laboratories for\nteaching and learning purposes. The laboratories are as follows:\nBLOCK A\nMicro Lab 1 (MM1)\nThis lab has 50 units of computer that are connected to Windows Active Directory servers and\nthe Internet. The operating system for these PCs is Windows 10. This lab is opened to all\nFSKTM undergraduate students.\nMicro Lab 2 (MM2)\nThis lab has 12 units of computer that are connected to Windows Active Directory servers and\nthe Internet. The operating system for these PCs is Windows 10. This lab is opened to all\nFSKTM undergraduate students.\nPostgraduate Lab (ML)\nThis lab has 33 units of computer. All the computers are connected to Windows Active Directory\nservers and the Internet. The operating system for these PCs is Windows 10. This lab is opened\nto all FSKTM postgraduate students.\nCCNA LAB (CCNA)\nThis lab has 41 units of computer. The operating system for these workstations is Windows 10.\nThere are also 25 units of Cisco 1700 Series Router, 4 units Cisco 1760 Series Router and 12\n\nKeywords: CCNA Lab, Cisco, ML, MM1, MM2, Micro Lab 1, Micro Lab 2, Postgraduate Lab, Windows 10, Windows Active Directory, access policy, active, all, ccna, connected, directory, fsktm, has, internet, lab, micro lab, multimedia, networking, operating, postgraduate, robotic, robotics, system, teaching labs, undergraduate, units, windows"}
+{"kb_id": "RAGKB-0011", "knowledge_group_id": "KG-0015", "source_chunk_id": "SC-00011", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Teaching Labs", "title": "Teaching and Learning Facilities - Teaching Labs - chunk 2", "pages": [13], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 38, "linked_index_ids": ["UMI-0006", "UMI-0116", "UMI-0117", "UMI-0152", "UMI-0153", "UMI-0154", "UMI-0155", "UMI-0156", "UMI-0157", "UMI-0158", "UMI-0159", "UMI-0160", "UMI-0161", "UMI-0162", "UMI-0163"], "group_canonical_questions": ["What teaching labs are available in the faculty?", "Where is the postgraduate lab and who may use it?", "Which labs are prioritized for multimedia courses or robotics-related learning?", "What facilities and access arrangements are described for Micro Lab 1 (MM1)?", "What facilities and access arrangements are described for Micro Lab 2 (MM2)?", "What facilities and access arrangements are described for the Postgraduate Lab (ML)?", "What equipment and access arrangements are described for the CCNA Lab (CCNA)?", "What equipment and purpose are described for the Robotic Teaching Lab?", "What facilities and student access are described for Micro Lab 3 (MM3)?", "What facilities and student access are described for Micro Lab 4 (MM4)?", "What facilities and student access are described for Micro Lab 6 (MM6)?", "What facilities and student access are described for Stroustrup Lab 1?", "Which teaching labs prioritize undergraduate use and which are open to postgraduate students?", "Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?"], "chunk_question_variants": ["What equipment and purpose are described for the Robotic Teaching Lab?", "Could you tell me what equipment and purpose are described for the Robotic Teaching Lab?", "So basically, what equipment and purpose are described for the Robotic Teaching Lab?"], "matched_qa_ids": ["qa_000156", "qa_000654", "qa_000655"], "grounded_answer_bank": ["The Robotic Teaching Lab is part of the Department of Artificial Intelligence and supports the Robotic course. It is equipped with humanoid robots, gives students space for hands-on and robotic experiments, and helps them understand robotic concepts and problem-solving needs."], "retrieval_keywords": ["Robotic Teaching Lab", "acquire", "all", "allows", "artificial", "catalyst", "course", "intelligence", "intelligent", "lab", "learning", "robotic", "robotics", "teaching", "teaching labs"], "retrieval_tags": ["general", "teaching_and_learning_facilities", "teaching_labs"], "source_text": "units switch Cisco 2950 CATALYST Series. This lab is opened to all FSKTM students.\nRobotic Teaching Lab\nThe Robotic Teaching Lab @ FCSIT is part of the Department of Artificial Intelligence effort to\nprovide conducive intelligent learning environment to students taking the 'Intelligent Robotics'\ncourse. Equipped with six mobile robots, the lab allows space for hands-on and robotic\nexperiments designed to help students understand the concept of robotic intelligence and\nacquire the needful skills for the course.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY", "retrieval_text": "Title: Teaching and Learning Facilities - Teaching Labs - chunk 2\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Teaching Labs\n\nCanonical questions:\n- What teaching labs are available in the faculty?\n- Where is the postgraduate lab and who may use it?\n- Which labs are prioritized for multimedia courses or robotics-related learning?\n- What facilities and access arrangements are described for Micro Lab 1 (MM1)?\n- What facilities and access arrangements are described for Micro Lab 2 (MM2)?\n- What facilities and access arrangements are described for the Postgraduate Lab (ML)?\n- What equipment and access arrangements are described for the CCNA Lab (CCNA)?\n- What equipment and purpose are described for the Robotic Teaching Lab?\n- What facilities and student access are described for Micro Lab 3 (MM3)?\n- What facilities and student access are described for Micro Lab 4 (MM4)?\n- What facilities and student access are described for Micro Lab 6 (MM6)?\n- What facilities and student access are described for Stroustrup Lab 1?\n- Which teaching labs prioritize undergraduate use and which are open to postgraduate students?\n- Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?\n- Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?\n\nQuestion variants:\n- What equipment and purpose are described for the Robotic Teaching Lab?\n- Could you tell me what equipment and purpose are described for the Robotic Teaching Lab?\n- So basically, what equipment and purpose are described for the Robotic Teaching Lab?\n\nGrounded answer bank:\n- The Robotic Teaching Lab is part of the Department of Artificial Intelligence and supports the Robotic course. It is equipped with humanoid robots, gives students space for hands-on and robotic experiments, and helps them understand robotic concepts and problem-solving needs.\n\nSource chunk text:\nunits switch Cisco 2950 CATALYST Series. This lab is opened to all FSKTM students.\nRobotic Teaching Lab\nThe Robotic Teaching Lab @ FCSIT is part of the Department of Artificial Intelligence effort to\nprovide conducive intelligent learning environment to students taking the 'Intelligent Robotics'\ncourse. Equipped with six mobile robots, the lab allows space for hands-on and robotic\nexperiments designed to help students understand the concept of robotic intelligence and\nacquire the needful skills for the course.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY\n\nKeywords: Robotic Teaching Lab, acquire, all, allows, artificial, catalyst, course, intelligence, intelligent, lab, learning, robotic, robotics, teaching, teaching labs"}
+{"kb_id": "RAGKB-0012", "knowledge_group_id": "KG-0015", "source_chunk_id": "SC-00012", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Teaching Labs", "title": "Teaching and Learning Facilities - Teaching Labs - chunk 3", "pages": [13, 14], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 38, "linked_index_ids": ["UMI-0006", "UMI-0116", "UMI-0117", "UMI-0152", "UMI-0153", "UMI-0154", "UMI-0155", "UMI-0156", "UMI-0157", "UMI-0158", "UMI-0159", "UMI-0160", "UMI-0161", "UMI-0162", "UMI-0163"], "group_canonical_questions": ["What teaching labs are available in the faculty?", "Where is the postgraduate lab and who may use it?", "Which labs are prioritized for multimedia courses or robotics-related learning?", "What facilities and access arrangements are described for Micro Lab 1 (MM1)?", "What facilities and access arrangements are described for Micro Lab 2 (MM2)?", "What facilities and access arrangements are described for the Postgraduate Lab (ML)?", "What equipment and access arrangements are described for the CCNA Lab (CCNA)?", "What equipment and purpose are described for the Robotic Teaching Lab?", "What facilities and student access are described for Micro Lab 3 (MM3)?", "What facilities and student access are described for Micro Lab 4 (MM4)?", "What facilities and student access are described for Micro Lab 6 (MM6)?", "What facilities and student access are described for Stroustrup Lab 1?", "Which teaching labs prioritize undergraduate use and which are open to postgraduate students?", "Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?", "Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?"], "chunk_question_variants": ["Which labs are prioritized for multimedia courses or robotics-related learning?", "What facilities and student access are described for Micro Lab 3 (MM3)?", "What facilities and student access are described for Micro Lab 4 (MM4)?", "What facilities and student access are described for Micro Lab 6 (MM6)?", "What facilities and student access are described for Stroustrup Lab 1?", "Could you tell me which labs are prioritized for multimedia courses or robotics-related learning?", "Could you tell me what facilities and student access are described for Micro Lab 3 (MM3)?", "Could you tell me what facilities and student access are described for Micro Lab 4 (MM4)?", "Real quick, what facilities and student access are described for Micro Lab 4 (MM4)?", "Could you tell me what facilities and student access are described for Micro Lab 6 (MM6)?", "Could you tell me what facilities and student access are described for Stroustrup Lab 1?", "Just asking, what facilities and student access are described for Stroustrup Lab 1?", "Could you tell me which teaching labs prioritize undergraduate use and which are open to postgraduate students?"], "matched_qa_ids": ["qa_000117", "qa_000157", "qa_000158", "qa_000159", "qa_000160", "qa_000599", "qa_000656", "qa_000657", "qa_000658", "qa_000659", "qa_000660", "qa_000661", "qa_000662"], "grounded_answer_bank": ["Micro Lab 6 (MM6) is open to all FSKTM students but gives priority to multimedia courses, while the Robotic Teaching Lab supports robotics-related learning through hands-on work in intelligent robotics.", "Micro Lab 3 (MM3) has 60 computer units connected to Windows Active Directory servers and the Internet, and it is open to undergraduate and postgraduate students.", "Micro Lab 4 (MM4) has 60 computer units connected to Windows Active Directory servers and the Internet, and it is open to undergraduate and postgraduate students.", "Micro Lab 6 (MM6) has 45 computer units connected to Windows Active Directory servers and the Internet. It is open to all FSKTM students, with priority given to Multimedia students, and uses Windows 10.", "Stroustrup Lab 1 has 42 computer units connected to the Internet. It is open to undergraduate students and uses Windows 10.", "The handbook shows that labs such as MM1, MM2, and Stroustrup Lab 1 are specifically opened to undergraduate students, while labs such as MM3, MM4, MM6, and the Postgraduate Lab include postgraduate access or postgraduate priority depending on the lab."], "retrieval_keywords": ["MM3", "MM4", "MM6", "Micro Lab 3", "Micro Lab 4", "Micro Lab 6", "Stroustrup Lab 1", "access policy", "active", "connected", "directory", "has", "internet", "lab", "micro", "multimedia", "opened", "postgraduate", "research", "robotic teaching lab", "teaching labs", "undergraduate", "units", "windows"], "retrieval_tags": ["general", "teaching_and_learning_facilities", "teaching_labs"], "source_text": "BLOCK B\nMicro Lab 3 (MM3)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 4 (MM4)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 6 (MM6)\nThis lab has 45 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to all FSKTM students but priority is given to multimedia courses.\nOperating system – Windows 10.\nStroustrup Lab 1\nThis lab has 42 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students. Operating system – Windows 10.\n(B) RESEARCH LABS\n29 research labs to support postgraduate students research activities, managed by various\ndepartments in the faculty:\nBLOCK A\nComputer Technology Lab\nThis lab is opened to post-graduate student, priority given to students who are taking courses\nrelated to the field Computer Technology.", "retrieval_text": "Title: Teaching and Learning Facilities - Teaching Labs - chunk 3\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Teaching Labs\n\nCanonical questions:\n- What teaching labs are available in the faculty?\n- Where is the postgraduate lab and who may use it?\n- Which labs are prioritized for multimedia courses or robotics-related learning?\n- What facilities and access arrangements are described for Micro Lab 1 (MM1)?\n- What facilities and access arrangements are described for Micro Lab 2 (MM2)?\n- What facilities and access arrangements are described for the Postgraduate Lab (ML)?\n- What equipment and access arrangements are described for the CCNA Lab (CCNA)?\n- What equipment and purpose are described for the Robotic Teaching Lab?\n- What facilities and student access are described for Micro Lab 3 (MM3)?\n- What facilities and student access are described for Micro Lab 4 (MM4)?\n- What facilities and student access are described for Micro Lab 6 (MM6)?\n- What facilities and student access are described for Stroustrup Lab 1?\n- Which teaching labs prioritize undergraduate use and which are open to postgraduate students?\n- Which teaching labs mention Windows Active Directory, Windows 10, or direct Internet access?\n- Which teaching labs are tied to robotics, multimedia, networking, or specialized practical learning?\n\nQuestion variants:\n- Which labs are prioritized for multimedia courses or robotics-related learning?\n- What facilities and student access are described for Micro Lab 3 (MM3)?\n- What facilities and student access are described for Micro Lab 4 (MM4)?\n- What facilities and student access are described for Micro Lab 6 (MM6)?\n- What facilities and student access are described for Stroustrup Lab 1?\n- Could you tell me which labs are prioritized for multimedia courses or robotics-related learning?\n- Could you tell me what facilities and student access are described for Micro Lab 3 (MM3)?\n- Could you tell me what facilities and student access are described for Micro Lab 4 (MM4)?\n- Real quick, what facilities and student access are described for Micro Lab 4 (MM4)?\n- Could you tell me what facilities and student access are described for Micro Lab 6 (MM6)?\n- Could you tell me what facilities and student access are described for Stroustrup Lab 1?\n- Just asking, what facilities and student access are described for Stroustrup Lab 1?\n\nGrounded answer bank:\n- Micro Lab 6 (MM6) is open to all FSKTM students but gives priority to multimedia courses, while the Robotic Teaching Lab supports robotics-related learning through hands-on work in intelligent robotics.\n- Micro Lab 3 (MM3) has 60 computer units connected to Windows Active Directory servers and the Internet, and it is open to undergraduate and postgraduate students.\n- Micro Lab 4 (MM4) has 60 computer units connected to Windows Active Directory servers and the Internet, and it is open to undergraduate and postgraduate students.\n- Micro Lab 6 (MM6) has 45 computer units connected to Windows Active Directory servers and the Internet. It is open to all FSKTM students, with priority given to Multimedia students, and uses Windows 10.\n- Stroustrup Lab 1 has 42 computer units connected to the Internet. It is open to undergraduate students and uses Windows 10.\n- The handbook shows that labs such as MM1, MM2, and Stroustrup Lab 1 are specifically opened to undergraduate students, while labs such as MM3, MM4, MM6, and the Postgraduate Lab include postgraduate access or postgraduate priority depending on the lab.\n\nSource chunk text:\nBLOCK B\nMicro Lab 3 (MM3)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 4 (MM4)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 6 (MM6)\nThis lab has 45 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to all FSKTM students but priority is given to multimedia courses.\nOperating system – Windows 10.\nStroustrup Lab 1\nThis lab has 42 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students. Operating system – Windows 10.\n(B) RESEARCH LABS\n29 research labs to support postgraduate students research activities, managed by various\ndepartments in the faculty:\nBLOCK A\nComputer Technology Lab\nThis lab is opened to post-graduate student, priority given to students who are taking courses\nrelated to the field Computer Technology.\n\nKeywords: MM3, MM4, MM6, Micro Lab 3, Micro Lab 4, Micro Lab 6, Stroustrup Lab 1, access policy, active, connected, directory, has, internet, lab, micro, multimedia, opened, postgraduate, research, robotic teaching lab, teaching labs, undergraduate, units, windows"}
+{"kb_id": "RAGKB-0013", "knowledge_group_id": "KG-0014", "source_chunk_id": "SC-00013", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Research Labs", "title": "Teaching and Learning Facilities - Research Labs - chunk 1", "pages": [14], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 26, "linked_index_ids": ["UMI-0007", "UMI-0118", "UMI-0164", "UMI-0165", "UMI-0166", "UMI-0167", "UMI-0168", "UMI-0169", "UMI-0170", "UMI-0171"], "group_canonical_questions": ["What research labs are available in the faculty?", "Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and academic focus are described for Stroustrup Lab 2?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?"], "chunk_question_variants": ["What facilities and academic focus are described for Stroustrup Lab 2?", "Could you tell me what facilities and academic focus are described for Stroustrup Lab 2?"], "matched_qa_ids": ["qa_000167", "qa_000671"], "grounded_answer_bank": ["Stroustrup Lab 2 has 18 computer units connected to the Internet and is open to undergraduate students taking courses related to electronic circuits."], "retrieval_keywords": ["Stroustrup Lab 2", "active", "connected", "directory", "has", "internet", "lab", "micro", "opened", "postgraduate", "research", "research labs", "units", "windows"], "retrieval_tags": ["general", "research_labs", "teaching_and_learning_facilities"], "source_text": "BLOCK B\nMicro Lab 3 (MM3)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 4 (MM4)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 6 (MM6)\nThis lab has 45 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to all FSKTM students but priority is given to multimedia courses.\nOperating system – Windows 10.\nStroustrup Lab 1\nThis lab has 42 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students. Operating system – Windows 10.\n(B) RESEARCH LABS\n29 research labs to support postgraduate students research activities, managed by various\ndepartments in the faculty:\nBLOCK A\nComputer Technology Lab\nThis lab is opened to post-graduate student, priority given to students who are taking courses\nrelated to the field Computer Technology.", "retrieval_text": "Title: Teaching and Learning Facilities - Research Labs - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Research Labs\n\nCanonical questions:\n- What research labs are available in the faculty?\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n\nQuestion variants:\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- Could you tell me what facilities and academic focus are described for Stroustrup Lab 2?\n\nGrounded answer bank:\n- Stroustrup Lab 2 has 18 computer units connected to the Internet and is open to undergraduate students taking courses related to electronic circuits.\n\nSource chunk text:\nBLOCK B\nMicro Lab 3 (MM3)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 4 (MM4)\nThis lab has 60 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to undergraduate and postgraduate students.\nMicro Lab 6 (MM6)\nThis lab has 45 units of computer that are connected to Windows Active Directory servers and\nthe Internet. This lab is opened to all FSKTM students but priority is given to multimedia courses.\nOperating system – Windows 10.\nStroustrup Lab 1\nThis lab has 42 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students. Operating system – Windows 10.\n(B) RESEARCH LABS\n29 research labs to support postgraduate students research activities, managed by various\ndepartments in the faculty:\nBLOCK A\nComputer Technology Lab\nThis lab is opened to post-graduate student, priority given to students who are taking courses\nrelated to the field Computer Technology.\n\nKeywords: Stroustrup Lab 2, active, connected, directory, has, internet, lab, micro, opened, postgraduate, research, research labs, units, windows"}
+{"kb_id": "RAGKB-0014", "knowledge_group_id": "KG-0014", "source_chunk_id": "SC-00014", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Research Labs", "title": "Teaching and Learning Facilities - Research Labs - chunk 2", "pages": [15], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 26, "linked_index_ids": ["UMI-0007", "UMI-0118", "UMI-0164", "UMI-0165", "UMI-0166", "UMI-0167", "UMI-0168", "UMI-0169", "UMI-0170", "UMI-0171"], "group_canonical_questions": ["What research labs are available in the faculty?", "Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and academic focus are described for Stroustrup Lab 2?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?"], "chunk_question_variants": ["What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "Could you explain stated about the VLSI Research Lab and its access conditions?", "Could you tell me what research focus is described for the Computer Systems and Network Research Lab?", "Quick check: what research focus is described for the Computer Systems and Network Research Lab?"], "matched_qa_ids": ["qa_000165", "qa_000166", "qa_000169", "qa_000668", "qa_000669", "qa_000670"], "grounded_answer_bank": ["The VLSI Research Lab is located on the second floor of Block B as an open-concept lab restricted to students from a specific field. All students can use its space and facilities with permission.", "This lab focuses on cloud and security research through networking, ability of protocols, and ATM studies.", "The Web Based Information System Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access."], "retrieval_keywords": ["Computer Systems and Network Research Lab", "VLSI Research Lab", "Web Based Information System Lab", "ability", "arithmetic", "circuits", "focus", "intelligent", "lab", "multimedia", "qualitative", "research", "research labs", "system", "systems", "vlsi"], "retrieval_tags": ["general", "research_labs", "teaching_and_learning_facilities"], "source_text": "TEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY\nBLOCK B\nArtificial Intelligence Research Lab\nQualitative reasoning, qualitative modeling, Intelligent Tutoring System, Case-based System,\nIntelligent Interactive Multimedia System.\nVLSI Research Lab\nThe study of the performance and the implementation of fast pipelined floating-point arithmetic\ncircuits and arithmetic algorithm, as well as on designing VLSI. Focus is given to the aspect of\nVLSI circuits test.\nComputer Systems and Network Research Lab\nFocus on data security research through networking, ability of protocols and ATM studies.\nMultimedia Research Lab\nResearch and development comprise:\nCorporate training\nSmart school education software\nDistributed multimedia systems\nWeb-based multimedia systems\nMultimedia Storage & retrieval technology\nMultimedia input & output technology\nHuman Computer Interaction (HCI) Research Lab\nThis lab used is for conducting research on usability area, computer support cooperative work", "retrieval_text": "Title: Teaching and Learning Facilities - Research Labs - chunk 2\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Research Labs\n\nCanonical questions:\n- What research labs are available in the faculty?\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n\nQuestion variants:\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- Could you explain stated about the VLSI Research Lab and its access conditions?\n- Could you tell me what research focus is described for the Computer Systems and Network Research Lab?\n- Quick check: what research focus is described for the Computer Systems and Network Research Lab?\n\nGrounded answer bank:\n- The VLSI Research Lab is located on the second floor of Block B as an open-concept lab restricted to students from a specific field. All students can use its space and facilities with permission.\n- This lab focuses on cloud and security research through networking, ability of protocols, and ATM studies.\n- The Web Based Information System Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.\n\nSource chunk text:\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY\nBLOCK B\nArtificial Intelligence Research Lab\nQualitative reasoning, qualitative modeling, Intelligent Tutoring System, Case-based System,\nIntelligent Interactive Multimedia System.\nVLSI Research Lab\nThe study of the performance and the implementation of fast pipelined floating-point arithmetic\ncircuits and arithmetic algorithm, as well as on designing VLSI. Focus is given to the aspect of\nVLSI circuits test.\nComputer Systems and Network Research Lab\nFocus on data security research through networking, ability of protocols and ATM studies.\nMultimedia Research Lab\nResearch and development comprise:\nCorporate training\nSmart school education software\nDistributed multimedia systems\nWeb-based multimedia systems\nMultimedia Storage & retrieval technology\nMultimedia input & output technology\nHuman Computer Interaction (HCI) Research Lab\nThis lab used is for conducting research on usability area, computer support cooperative work\n\nKeywords: Computer Systems and Network Research Lab, VLSI Research Lab, Web Based Information System Lab, ability, arithmetic, circuits, focus, intelligent, lab, multimedia, qualitative, research, research labs, system, systems, vlsi"}
+{"kb_id": "RAGKB-0015", "knowledge_group_id": "KG-0014", "source_chunk_id": "SC-00015", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Research Labs", "title": "Teaching and Learning Facilities - Research Labs - chunk 3", "pages": [15], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 26, "linked_index_ids": ["UMI-0007", "UMI-0118", "UMI-0164", "UMI-0165", "UMI-0166", "UMI-0167", "UMI-0168", "UMI-0169", "UMI-0170", "UMI-0171"], "group_canonical_questions": ["What research labs are available in the faculty?", "Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and academic focus are described for Stroustrup Lab 2?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "any", "chart", "cscw", "hierarchy", "implementing", "involves", "task", "test", "understandability", "user"], "retrieval_tags": [], "source_text": "(CSCW) and task analysis. It involves task analysis hierarchy chart for user understandability test\nin implementing any task.", "retrieval_text": "Title: Teaching and Learning Facilities - Research Labs - chunk 3\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Research Labs\n\nCanonical questions:\n- What research labs are available in the faculty?\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n\nSource chunk text:\n(CSCW) and task analysis. It involves task analysis hierarchy chart for user understandability test\nin implementing any task.\n\nKeywords: analysis, any, chart, cscw, hierarchy, implementing, involves, task, test, understandability, user"}
+{"kb_id": "RAGKB-0016", "knowledge_group_id": "KG-0014", "source_chunk_id": "SC-00016", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Research Labs", "title": "Teaching and Learning Facilities - Research Labs - chunk 4", "pages": [15, 16], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 26, "linked_index_ids": ["UMI-0007", "UMI-0118", "UMI-0164", "UMI-0165", "UMI-0166", "UMI-0167", "UMI-0168", "UMI-0169", "UMI-0170", "UMI-0171"], "group_canonical_questions": ["What research labs are available in the faculty?", "Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and academic focus are described for Stroustrup Lab 2?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?"], "chunk_question_variants": ["Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "Could you tell me what research labs are available in the faculty?", "BTW, what research labs are available in the faculty?", "Could you tell me which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "So basically, which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "Could you explain stated about the Computer Technology Lab and which students are prioritized to use it?", "Ngl, what's stated about the Computer Technology Lab and which students are prioritized to use it?", "Could you tell me what facilities and access arrangements are described for the Knowledge Engineering Lab?", "Hey, what facilities and access arrangements are described for the Knowledge Engineering Lab?", "Could you tell me what facilities and access arrangements are described for the Web Based Information System Lab?", "Could you tell me which research labs are located in Block A, Block B, or Wisma R&D?"], "matched_qa_ids": ["qa_000118", "qa_000168", "qa_000408", "qa_000409", "qa_000600", "qa_000601", "qa_000666", "qa_000667", "qa_000672", "qa_000673", "qa_000674", "qa_000677"], "grounded_answer_bank": ["The labs that explicitly mention AI, NLP, robotics, or web-based systems include the Artificial Intelligence Research Lab, the Robotedge AI Robotic Lab, the Knowledge Engineering Lab, and the Web Based Information System Lab.", "The Knowledge Engineering Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.", "The research labs listed in the handbook include the Computer Technology Lab, VLSI Research Lab, Computer Systems and Network Research Lab, Stroustrup Lab 2, Knowledge Engineering Lab, Web Based Information System Lab, and the Robotedge AI Robotic Lab.", "The Computer Technology Lab is in Block A and is intended for postgraduate students, with priority given to students taking courses related to Computer Technology.", "The Web Based Information System Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.", "The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D."], "retrieval_keywords": ["AI", "Block A", "Block B", "Computer Technology Lab", "Knowledge Engineering Lab", "NLP", "Web Based Information System Lab", "Wisma R&D", "ai-based", "based", "electronic", "engineering", "knowledge", "knowledge engineering", "lab", "machine", "research", "research labs", "robotedge", "robotics", "system", "systems", "vision", "vlsi", "web-based"], "retrieval_tags": ["general", "research_labs", "teaching_and_learning_facilities"], "source_text": "Information System Research Lab\nThis lab is used for conducting research on dissimilar information systems integration in\nheterogeneous environment including operating system, hardware, language and the use of the\nlatest software industrial standard to integrate information systems.\nResearch and development on:\nBusiness Oriented Systems/ Electronic Government Systems\nGeographic Information Systems\nInter-organizational Information Systems\nWeb-based Information Systems\nSmart Card Application\nStroustrup Lab 2\nThis lab has 18 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students taking courses related to electronic circuit.\n(C) PROJECT BASED LAB\nArtificial Intelligence 4 U (AI4U)\nAI-based Machine Vision essentials. Key objective is to transfer ‘AI-based machine\nvision’ knowledge to university lecturers and students.\nWisma R&D (15th floor):\nWeb Based Information System Lab & Knowledge Engineering Lab (Open-Space\nConcept)\nBoth the Knowledge Engineering Lab and the Web-Based Information System Lab are open-", "retrieval_text": "Title: Teaching and Learning Facilities - Research Labs - chunk 4\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Research Labs\n\nCanonical questions:\n- What research labs are available in the faculty?\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n\nQuestion variants:\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- Could you tell me what research labs are available in the faculty?\n- BTW, what research labs are available in the faculty?\n- Could you tell me which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- So basically, which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- Could you explain stated about the Computer Technology Lab and which students are prioritized to use it?\n- Ngl, what's stated about the Computer Technology Lab and which students are prioritized to use it?\n- Could you tell me what facilities and access arrangements are described for the Knowledge Engineering Lab?\n- Hey, what facilities and access arrangements are described for the Knowledge Engineering Lab?\n- Could you tell me what facilities and access arrangements are described for the Web Based Information System Lab?\n- Could you tell me which research labs are located in Block A, Block B, or Wisma R&D?\n\nGrounded answer bank:\n- The labs that explicitly mention AI, NLP, robotics, or web-based systems include the Artificial Intelligence Research Lab, the Robotedge AI Robotic Lab, the Knowledge Engineering Lab, and the Web Based Information System Lab.\n- The Knowledge Engineering Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.\n- The research labs listed in the handbook include the Computer Technology Lab, VLSI Research Lab, Computer Systems and Network Research Lab, Stroustrup Lab 2, Knowledge Engineering Lab, Web Based Information System Lab, and the Robotedge AI Robotic Lab.\n- The Computer Technology Lab is in Block A and is intended for postgraduate students, with priority given to students taking courses related to Computer Technology.\n- The Web Based Information System Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.\n- The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D.\n\nSource chunk text:\nInformation System Research Lab\nThis lab is used for conducting research on dissimilar information systems integration in\nheterogeneous environment including operating system, hardware, language and the use of the\nlatest software industrial standard to integrate information systems.\nResearch and development on:\nBusiness Oriented Systems/ Electronic Government Systems\nGeographic Information Systems\nInter-organizational Information Systems\nWeb-based Information Systems\nSmart Card Application\nStroustrup Lab 2\nThis lab has 18 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students taking courses related to electronic circuit.\n(C) PROJECT BASED LAB\nArtificial Intelligence 4 U (AI4U)\nAI-based Machine Vision essentials. Key objective is to transfer ‘AI-based machine\nvision’ knowledge to university lecturers and students.\nWisma R&D (15th floor):\nWeb Based Information System Lab & Knowledge Engineering Lab (Open-Space\nConcept)\nBoth the Knowledge Engineering Lab and the Web-Based Information System Lab are open-\n\nKeywords: AI, Block A, Block B, Computer Technology Lab, Knowledge Engineering Lab, NLP, Web Based Information System Lab, Wisma R&D, ai-based, based, electronic, engineering, knowledge, knowledge engineering, lab, machine, research, research labs, robotedge, robotics, system, systems, vision, vlsi, web-based"}
+{"kb_id": "RAGKB-0017", "knowledge_group_id": "KG-0014", "source_chunk_id": "SC-00017", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Research Labs", "title": "Teaching and Learning Facilities - Research Labs - chunk 5", "pages": [16], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 26, "linked_index_ids": ["UMI-0007", "UMI-0118", "UMI-0164", "UMI-0165", "UMI-0166", "UMI-0167", "UMI-0168", "UMI-0169", "UMI-0170", "UMI-0171"], "group_canonical_questions": ["What research labs are available in the faculty?", "Which research or project-based labs mention AI, NLP, robotics, or web-based systems?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What is stated about the VLSI Research Lab and its access conditions?", "What research focus is described for the Computer Systems and Network Research Lab?", "What facilities and academic focus are described for Stroustrup Lab 2?", "What facilities and access arrangements are described for the Knowledge Engineering Lab?", "What facilities and access arrangements are described for the Web Based Information System Lab?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?"], "chunk_question_variants": ["What research labs are available in the faculty?", "What is stated about the Computer Technology Lab and which students are prioritized to use it?", "What facilities and research focus are described for the Robotedge AI Robotic Lab?", "Which research labs are located in Block A, Block B, or Wisma R&D?", "Could you tell me what facilities and research focus are described for the Robotedge AI Robotic Lab?", "Low-key, what facilities and research focus are described for the Robotedge AI Robotic Lab?"], "matched_qa_ids": ["qa_000007", "qa_000164", "qa_000170", "qa_000171", "qa_000675", "qa_000676"], "grounded_answer_bank": ["The research labs listed in the handbook include the Computer Technology Lab, VLSI Research Lab, Computer Systems and Network Research Lab, Stroustrup Lab 2, Knowledge Engineering Lab, Web Based Information System Lab, and the Robotedge AI Robotic Lab.", "The Computer Technology Lab is in Block A and is intended for postgraduate students, with priority given to students taking courses related to Computer Technology.", "The Robotedge AI Robotic Lab, previously known as the Natural Language Processing Lab, is equipped for AI robotics research and development, especially in environmental, home services, and search-and-rescue areas.", "The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D."], "retrieval_keywords": ["AI", "Block A", "Block B", "Computer Technology Lab", "Robotedge AI Robotic Lab", "Wisma R&D", "access", "accessible", "all", "areas", "can", "concept", "development", "facilities", "knowledge engineering", "lab", "labs", "research", "research labs", "robotedge", "robotics", "space", "vlsi"], "retrieval_tags": ["general", "research_labs", "teaching_and_learning_facilities"], "source_text": "space concept labs accessible to all postgraduate students, regardless of their field. Students\ncan use the space and facilities provided in these labs, with permission for access. These labs\nare located on the 15th floor of Wisma R&D\nRobotedge AI Robotic Lab\nThis lab is previously known as Natural Language Processing Lab. This lab is equipped with\nequipment for AI robotics research and development focusing on environmental, home services,\nand search and rescue research areas.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY", "retrieval_text": "Title: Teaching and Learning Facilities - Research Labs - chunk 5\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Research Labs\n\nCanonical questions:\n- What research labs are available in the faculty?\n- Which research or project-based labs mention AI, NLP, robotics, or web-based systems?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What is stated about the VLSI Research Lab and its access conditions?\n- What research focus is described for the Computer Systems and Network Research Lab?\n- What facilities and academic focus are described for Stroustrup Lab 2?\n- What facilities and access arrangements are described for the Knowledge Engineering Lab?\n- What facilities and access arrangements are described for the Web Based Information System Lab?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n\nQuestion variants:\n- What research labs are available in the faculty?\n- What is stated about the Computer Technology Lab and which students are prioritized to use it?\n- What facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Which research labs are located in Block A, Block B, or Wisma R&D?\n- Could you tell me what facilities and research focus are described for the Robotedge AI Robotic Lab?\n- Low-key, what facilities and research focus are described for the Robotedge AI Robotic Lab?\n\nGrounded answer bank:\n- The research labs listed in the handbook include the Computer Technology Lab, VLSI Research Lab, Computer Systems and Network Research Lab, Stroustrup Lab 2, Knowledge Engineering Lab, Web Based Information System Lab, and the Robotedge AI Robotic Lab.\n- The Computer Technology Lab is in Block A and is intended for postgraduate students, with priority given to students taking courses related to Computer Technology.\n- The Robotedge AI Robotic Lab, previously known as the Natural Language Processing Lab, is equipped for AI robotics research and development, especially in environmental, home services, and search-and-rescue areas.\n- The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D.\n\nSource chunk text:\nspace concept labs accessible to all postgraduate students, regardless of their field. Students\ncan use the space and facilities provided in these labs, with permission for access. These labs\nare located on the 15th floor of Wisma R&D\nRobotedge AI Robotic Lab\nThis lab is previously known as Natural Language Processing Lab. This lab is equipped with\nequipment for AI robotics research and development focusing on environmental, home services,\nand search and rescue research areas.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY\n\nKeywords: AI, Block A, Block B, Computer Technology Lab, Robotedge AI Robotic Lab, Wisma R&D, access, accessible, all, areas, can, concept, development, facilities, knowledge engineering, lab, labs, research, research labs, robotedge, robotics, space, vlsi"}
+{"kb_id": "RAGKB-0018", "knowledge_group_id": "KG-0013", "source_chunk_id": "SC-00018", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Project Based Labs", "title": "Teaching and Learning Facilities - Project Based Labs - chunk 1", "pages": [16], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 13, "linked_index_ids": ["UMI-0008", "UMI-0172", "UMI-0173", "UMI-0174", "UMI-0175"], "group_canonical_questions": ["What project-based labs are available in the faculty?", "What is the purpose of the AI-based Machine Vision set-up in the project-based labs?", "What shared access arrangements are described for the open-space concept labs at Wisma R&D?", "What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?", "What project-based lab support is described for the Robotedge AI Robotic Lab?"], "chunk_question_variants": ["What project-based labs are available in the faculty?", "What is the purpose of the AI-based Machine Vision set-up in the project-based labs?", "What shared access arrangements are described for the open-space concept labs at Wisma R&D?", "What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?", "Could you tell me what project-based labs are available in the faculty?", "Ngl, what project-based labs are available in the faculty?", "Could you explain the purpose of the AI-based Machine Vision set-up in the project-based labs?", "BTW, what's the purpose of the AI-based Machine Vision set-up in the project-based labs?", "Could you tell me what shared access arrangements are described for the open-space concept labs at Wisma R&D?", "Could you tell me what project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?", "So basically, what project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?"], "matched_qa_ids": ["qa_000008", "qa_000172", "qa_000173", "qa_000174", "qa_000410", "qa_000411", "qa_000678", "qa_000679", "qa_000680", "qa_000681", "qa_000682"], "grounded_answer_bank": ["The project-based labs mentioned are the AI-based Machine Vision set-up, the Web Based Information System Lab and Knowledge Engineering Lab in the open-space concept area at Wisma R&D, and the Robotedge AI Robotic Lab.", "The AI-based Machine Vision set-up is intended to transfer AI-based machine vision knowledge to university lecturers and students.", "The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D.", "The Knowledge Engineering Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access."], "retrieval_keywords": ["AI-based Machine Vision", "AI4U", "Knowledge Engineering Lab", "Web Based Information System Lab", "Wisma R&D", "ai-based", "based", "electronic", "engineering", "knowledge", "lab", "machine", "open-space concept", "project based labs", "research", "robotedge", "system", "systems", "vision", "web-based"], "retrieval_tags": ["general", "project_based_labs", "teaching_and_learning_facilities"], "source_text": "Information System Research Lab\nThis lab is used for conducting research on dissimilar information systems integration in\nheterogeneous environment including operating system, hardware, language and the use of the\nlatest software industrial standard to integrate information systems.\nResearch and development on:\nBusiness Oriented Systems/ Electronic Government Systems\nGeographic Information Systems\nInter-organizational Information Systems\nWeb-based Information Systems\nSmart Card Application\nStroustrup Lab 2\nThis lab has 18 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students taking courses related to electronic circuit.\n(C) PROJECT BASED LAB\nArtificial Intelligence 4 U (AI4U)\nAI-based Machine Vision essentials. Key objective is to transfer ‘AI-based machine\nvision’ knowledge to university lecturers and students.\nWisma R&D (15th floor):\nWeb Based Information System Lab & Knowledge Engineering Lab (Open-Space\nConcept)\nBoth the Knowledge Engineering Lab and the Web-Based Information System Lab are open-", "retrieval_text": "Title: Teaching and Learning Facilities - Project Based Labs - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Project Based Labs\n\nCanonical questions:\n- What project-based labs are available in the faculty?\n- What is the purpose of the AI-based Machine Vision set-up in the project-based labs?\n- What shared access arrangements are described for the open-space concept labs at Wisma R&D?\n- What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?\n- What project-based lab support is described for the Robotedge AI Robotic Lab?\n\nQuestion variants:\n- What project-based labs are available in the faculty?\n- What is the purpose of the AI-based Machine Vision set-up in the project-based labs?\n- What shared access arrangements are described for the open-space concept labs at Wisma R&D?\n- What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?\n- Could you tell me what project-based labs are available in the faculty?\n- Ngl, what project-based labs are available in the faculty?\n- Could you explain the purpose of the AI-based Machine Vision set-up in the project-based labs?\n- BTW, what's the purpose of the AI-based Machine Vision set-up in the project-based labs?\n- Could you tell me what shared access arrangements are described for the open-space concept labs at Wisma R&D?\n- Could you tell me what project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?\n- So basically, what project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?\n\nGrounded answer bank:\n- The project-based labs mentioned are the AI-based Machine Vision set-up, the Web Based Information System Lab and Knowledge Engineering Lab in the open-space concept area at Wisma R&D, and the Robotedge AI Robotic Lab.\n- The AI-based Machine Vision set-up is intended to transfer AI-based machine vision knowledge to university lecturers and students.\n- The handbook places the Computer Technology Lab in Block A; the VLSI Research Lab and Computer Systems and Network Research Lab in Block B; and the Knowledge Engineering Lab, Web Based Information System Lab, and Robotedge AI Robotic Lab at Wisma R&D.\n- The Knowledge Engineering Lab is an open-space concept lab at Wisma R&D that is accessible to all postgraduate students, regardless of field, with permission for access.\n\nSource chunk text:\nInformation System Research Lab\nThis lab is used for conducting research on dissimilar information systems integration in\nheterogeneous environment including operating system, hardware, language and the use of the\nlatest software industrial standard to integrate information systems.\nResearch and development on:\nBusiness Oriented Systems/ Electronic Government Systems\nGeographic Information Systems\nInter-organizational Information Systems\nWeb-based Information Systems\nSmart Card Application\nStroustrup Lab 2\nThis lab has 18 units of computer that are connected to the Internet. This lab is opened to\nundergraduate students taking courses related to electronic circuit.\n(C) PROJECT BASED LAB\nArtificial Intelligence 4 U (AI4U)\nAI-based Machine Vision essentials. Key objective is to transfer ‘AI-based machine\nvision’ knowledge to university lecturers and students.\nWisma R&D (15th floor):\nWeb Based Information System Lab & Knowledge Engineering Lab (Open-Space\nConcept)\nBoth the Knowledge Engineering Lab and the Web-Based Information System Lab are open-\n\nKeywords: AI-based Machine Vision, AI4U, Knowledge Engineering Lab, Web Based Information System Lab, Wisma R&D, ai-based, based, electronic, engineering, knowledge, lab, machine, open-space concept, project based labs, research, robotedge, system, systems, vision, web-based"}
+{"kb_id": "RAGKB-0019", "knowledge_group_id": "KG-0013", "source_chunk_id": "SC-00019", "source_doc": "General Handbook", "scope_label": "general", "section": "Teaching and Learning Facilities", "subsection": "Project Based Labs", "title": "Teaching and Learning Facilities - Project Based Labs - chunk 2", "pages": [16], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 13, "linked_index_ids": ["UMI-0008", "UMI-0172", "UMI-0173", "UMI-0174", "UMI-0175"], "group_canonical_questions": ["What project-based labs are available in the faculty?", "What is the purpose of the AI-based Machine Vision set-up in the project-based labs?", "What shared access arrangements are described for the open-space concept labs at Wisma R&D?", "What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?", "What project-based lab support is described for the Robotedge AI Robotic Lab?"], "chunk_question_variants": ["What project-based lab support is described for the Robotedge AI Robotic Lab?", "Could you tell me what project-based lab support is described for the Robotedge AI Robotic Lab?"], "matched_qa_ids": ["qa_000175", "qa_000683"], "grounded_answer_bank": ["The Robotedge AI Robotic Lab, previously known as the Natural Language Processing Lab, is equipped for AI robotics research and development, especially in environmental, home services, and search-and-rescue areas."], "retrieval_keywords": ["Robotedge AI Robotic Lab", "access", "accessible", "all", "areas", "can", "concept", "development", "facilities", "lab", "labs", "project based", "project based labs", "research", "space"], "retrieval_tags": ["general", "project_based_labs", "teaching_and_learning_facilities"], "source_text": "space concept labs accessible to all postgraduate students, regardless of their field. Students\ncan use the space and facilities provided in these labs, with permission for access. These labs\nare located on the 15th floor of Wisma R&D\nRobotedge AI Robotic Lab\nThis lab is previously known as Natural Language Processing Lab. This lab is equipped with\nequipment for AI robotics research and development focusing on environmental, home services,\nand search and rescue research areas.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY", "retrieval_text": "Title: Teaching and Learning Facilities - Project Based Labs - chunk 2\n\nScope: general\n\nSource document: General Handbook\n\nSection: Teaching and Learning Facilities\n\nSubsection: Project Based Labs\n\nCanonical questions:\n- What project-based labs are available in the faculty?\n- What is the purpose of the AI-based Machine Vision set-up in the project-based labs?\n- What shared access arrangements are described for the open-space concept labs at Wisma R&D?\n- What project-based lab support is described for the Web Based Information System Lab and Knowledge Engineering Lab?\n- What project-based lab support is described for the Robotedge AI Robotic Lab?\n\nQuestion variants:\n- What project-based lab support is described for the Robotedge AI Robotic Lab?\n- Could you tell me what project-based lab support is described for the Robotedge AI Robotic Lab?\n\nGrounded answer bank:\n- The Robotedge AI Robotic Lab, previously known as the Natural Language Processing Lab, is equipped for AI robotics research and development, especially in environmental, home services, and search-and-rescue areas.\n\nSource chunk text:\nspace concept labs accessible to all postgraduate students, regardless of their field. Students\ncan use the space and facilities provided in these labs, with permission for access. These labs\nare located on the 15th floor of Wisma R&D\nRobotedge AI Robotic Lab\nThis lab is previously known as Natural Language Processing Lab. This lab is equipped with\nequipment for AI robotics research and development focusing on environmental, home services,\nand search and rescue research areas.\nTEACHING AND LEARNING FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\nINFORMATION TECHNOLOGY\n\nKeywords: Robotedge AI Robotic Lab, access, accessible, all, areas, can, concept, development, facilities, lab, labs, project based, project based labs, research, space"}
+{"kb_id": "RAGKB-0020", "knowledge_group_id": "KG-0012", "source_chunk_id": "SC-00020", "source_doc": "General Handbook", "scope_label": "general", "section": "Other Facilities", "subsection": "Student Support and Campus Facilities", "title": "Other Facilities - Student Support and Campus Facilities - chunk 1", "pages": [17], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 33, "linked_index_ids": ["UMI-0009", "UMI-0010", "UMI-0119", "UMI-0176", "UMI-0177", "UMI-0178", "UMI-0179", "UMI-0180", "UMI-0181", "UMI-0182", "UMI-0183", "UMI-0184", "UMI-0185"], "group_canonical_questions": ["What other student support facilities are available in the faculty?", "How can students access SPeCTRUM and related online support services?", "What support spaces are available for postgraduate lounge, student centre, and door access?", "What information is given about prayer rooms or surau facilities in the faculty?", "What information is given about vending machines for drinks?", "What information is given about the faculty cafeteria?", "What facilities are available in the postgraduate lounge and student centre?", "What parking arrangements are described for students, staff, and visitors?", "What water purifier facilities are provided in the faculty buildings?", "How is Internet access in the faculty building described for students?", "What is SPeCTRUM and how can students access it?", "Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?", "How is door access managed for research labs, the student centre, and the postgraduate lounge?"], "chunk_question_variants": ["What information is given about prayer rooms or surau facilities in the faculty?", "What information is given about vending machines for drinks?", "What information is given about the faculty cafeteria?", "What facilities are available in the postgraduate lounge and student centre?", "Could you tell me what other student support facilities are available in the faculty?", "So basically, what other student support facilities are available in the faculty?", "Could you tell me what information is given about prayer rooms or surau facilities in the faculty?", "Real quick, what information is given about prayer rooms or surau facilities in the faculty?", "Could you tell me what information is given about vending machines for drinks?", "Could you tell me what information is given about the faculty cafeteria?", "Just asking, what information is given about the faculty cafeteria?", "Could you tell me what facilities are available in the postgraduate lounge and student centre?", "Could you tell me what parking arrangements are described for students, staff, and visitors?", "Quick one: what parking arrangements are described for students, staff, and visitors?"], "matched_qa_ids": ["qa_000176", "qa_000177", "qa_000178", "qa_000179", "qa_000412", "qa_000413", "qa_000684", "qa_000685", "qa_000686", "qa_000687", "qa_000688", "qa_000689", "qa_000690", "qa_000691"], "grounded_answer_bank": ["The faculty provides air-conditioned prayer rooms for men and women. The men's surau is located on the second floor, while the women's surau is located on the first floor.", "Vending machines for cold drinks are located at Block A and Block B.", "The cafeteria is located at the back of Block A.", "The postgraduate lounge and student centre provide space for students to relax, have informal discussions, and hold small gatherings, and a few basic facilities are provided for use.", "Other student support facilities include prayer rooms (surau), vending machines for drinks, a cafeteria, a postgraduate lounge and student centre, student parking, water purifiers, faculty-wide Internet access, SPeCTRUM and related online support services, and controlled door access for selected spaces.", "Students may park in designated student parking areas at the back of Block A. The handbook notes around 150 parking lots for cars and 45 for motorcycles, and states that students are not allowed to park in front of both buildings because those lots are reserved for staff and visitors."], "retrieval_keywords": ["also", "back", "block", "cafeteria", "car", "discussion", "drinks", "floor", "located", "motorbike", "other facilities", "parking", "parking lots", "postgraduate lounge", "prayer room", "spectrum", "student centre", "students", "surau", "vending machine", "visitors", "water purifiers"], "retrieval_tags": ["general", "other_facilities", "student_support_and_campus_facilities"], "source_text": "Prayer Room (surau)\nAir-conditioned prayer rooms (surau) (one for Men, and the other for Women) are provided in Block A for\nMuslims to pray. The surau for Men is located at the second floor and surau for women is located at the first\nfloor in the building. Users are not allowed to sleep and eat in the surau. Users are also responsible for the\ncleanliness of the surau.\nVending Machine (Drinks)\nThere are 4 units of vending machine for cold drinks located at Block A and Block B.\nCafeteria\nCafeteria is located at the back of Block A.\nPostgraduate Lounge & Student Centre\nSpace provided for student to relaxing their mind, having informal discussion and make a small gathering. A few\nfacilities such as sofas, computers, discussion rooms and pantry are ready to use.\nParking Lot\nThe Faculty also provides parking lots for students to park their car or motorbike. Students can park their car or\nmotorbike at the back of Block A. There are 150 parking lots for the motorbike and 45 for the car. Students are", "retrieval_text": "Title: Other Facilities - Student Support and Campus Facilities - chunk 1\n\nScope: general\n\nSource document: General Handbook\n\nSection: Other Facilities\n\nSubsection: Student Support and Campus Facilities\n\nCanonical questions:\n- What other student support facilities are available in the faculty?\n- How can students access SPeCTRUM and related online support services?\n- What support spaces are available for postgraduate lounge, student centre, and door access?\n- What information is given about prayer rooms or surau facilities in the faculty?\n- What information is given about vending machines for drinks?\n- What information is given about the faculty cafeteria?\n- What facilities are available in the postgraduate lounge and student centre?\n- What parking arrangements are described for students, staff, and visitors?\n- What water purifier facilities are provided in the faculty buildings?\n- How is Internet access in the faculty building described for students?\n- What is SPeCTRUM and how can students access it?\n- Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?\n- How is door access managed for research labs, the student centre, and the postgraduate lounge?\n\nQuestion variants:\n- What information is given about prayer rooms or surau facilities in the faculty?\n- What information is given about vending machines for drinks?\n- What information is given about the faculty cafeteria?\n- What facilities are available in the postgraduate lounge and student centre?\n- Could you tell me what other student support facilities are available in the faculty?\n- So basically, what other student support facilities are available in the faculty?\n- Could you tell me what information is given about prayer rooms or surau facilities in the faculty?\n- Real quick, what information is given about prayer rooms or surau facilities in the faculty?\n- Could you tell me what information is given about vending machines for drinks?\n- Could you tell me what information is given about the faculty cafeteria?\n- Just asking, what information is given about the faculty cafeteria?\n- Could you tell me what facilities are available in the postgraduate lounge and student centre?\n\nGrounded answer bank:\n- The faculty provides air-conditioned prayer rooms for men and women. The men's surau is located on the second floor, while the women's surau is located on the first floor.\n- Vending machines for cold drinks are located at Block A and Block B.\n- The cafeteria is located at the back of Block A.\n- The postgraduate lounge and student centre provide space for students to relax, have informal discussions, and hold small gatherings, and a few basic facilities are provided for use.\n- Other student support facilities include prayer rooms (surau), vending machines for drinks, a cafeteria, a postgraduate lounge and student centre, student parking, water purifiers, faculty-wide Internet access, SPeCTRUM and related online support services, and controlled door access for selected spaces.\n- Students may park in designated student parking areas at the back of Block A. The handbook notes around 150 parking lots for cars and 45 for motorcycles, and states that students are not allowed to park in front of both buildings because those lots are reserved for staff and visitors.\n\nSource chunk text:\nPrayer Room (surau)\nAir-conditioned prayer rooms (surau) (one for Men, and the other for Women) are provided in Block A for\nMuslims to pray. The surau for Men is located at the second floor and surau for women is located at the first\nfloor in the building. Users are not allowed to sleep and eat in the surau. Users are also responsible for the\ncleanliness of the surau.\nVending Machine (Drinks)\nThere are 4 units of vending machine for cold drinks located at Block A and Block B.\nCafeteria\nCafeteria is located at the back of Block A.\nPostgraduate Lounge & Student Centre\nSpace provided for student to relaxing their mind, having informal discussion and make a small gathering. A few\nfacilities such as sofas, computers, discussion rooms and pantry are ready to use.\nParking Lot\nThe Faculty also provides parking lots for students to park their car or motorbike. Students can park their car or\nmotorbike at the back of Block A. There are 150 parking lots for the motorbike and 45 for the car. Students are\n\nKeywords: also, back, block, cafeteria, car, discussion, drinks, floor, located, motorbike, other facilities, parking, parking lots, postgraduate lounge, prayer room, spectrum, student centre, students, surau, vending machine, visitors, water purifiers"}
+{"kb_id": "RAGKB-0021", "knowledge_group_id": "KG-0012", "source_chunk_id": "SC-00021", "source_doc": "General Handbook", "scope_label": "general", "section": "Other Facilities", "subsection": "Student Support and Campus Facilities", "title": "Other Facilities - Student Support and Campus Facilities - chunk 2", "pages": [17], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 33, "linked_index_ids": ["UMI-0009", "UMI-0010", "UMI-0119", "UMI-0176", "UMI-0177", "UMI-0178", "UMI-0179", "UMI-0180", "UMI-0181", "UMI-0182", "UMI-0183", "UMI-0184", "UMI-0185"], "group_canonical_questions": ["What other student support facilities are available in the faculty?", "How can students access SPeCTRUM and related online support services?", "What support spaces are available for postgraduate lounge, student centre, and door access?", "What information is given about prayer rooms or surau facilities in the faculty?", "What information is given about vending machines for drinks?", "What information is given about the faculty cafeteria?", "What facilities are available in the postgraduate lounge and student centre?", "What parking arrangements are described for students, staff, and visitors?", "What water purifier facilities are provided in the faculty buildings?", "How is Internet access in the faculty building described for students?", "What is SPeCTRUM and how can students access it?", "Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?", "How is door access managed for research labs, the student centre, and the postgraduate lounge?"], "chunk_question_variants": ["What other student support facilities are available in the faculty?", "How can students access SPeCTRUM and related online support services?", "What support spaces are available for postgraduate lounge, student centre, and door access?", "What parking arrangements are described for students, staff, and visitors?", "What water purifier facilities are provided in the faculty buildings?", "How is Internet access in the faculty building described for students?", "What is SPeCTRUM and how can students access it?", "Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?", "How is door access managed for research labs, the student centre, and the postgraduate lounge?", "Could you explain how can students access SPeCTRUM and related online support services?", "Quick check: how can students access SPeCTRUM and related online support services?", "Could you tell me what support spaces are available for postgraduate lounge, student centre, and door access?", "Could you tell me what water purifier facilities are provided in the faculty buildings?", "Could you explain how is Internet access in the faculty building described for students?", "Ngl, how is Internet access in the faculty building described for students?", "Could you explain SPeCTRUM and how can students access it?", "Could you tell me which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?", "Quick check: which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?", "Could you explain how is door access managed for research labs, the student centre, and the postgraduate lounge?"], "matched_qa_ids": ["qa_000009", "qa_000010", "qa_000119", "qa_000180", "qa_000181", "qa_000182", "qa_000183", "qa_000184", "qa_000185", "qa_000414", "qa_000415", "qa_000602", "qa_000692", "qa_000693", "qa_000694", "qa_000695", "qa_000696", "qa_000697", "qa_000698"], "grounded_answer_bank": ["Other student support facilities include prayer rooms (surau), vending machines for drinks, a cafeteria, a postgraduate lounge and student centre, student parking, water purifiers, faculty-wide Internet access, SPeCTRUM and related online support services, and controlled door access for selected spaces.", "Students can access SPeCTRUM and related online support through the SPeCTRUM X site and the faculty helpdesk. The handbook also notes that Internet access is provided in the faculty buildings and that some services can be browsed through the faculty and UM online systems.", "Support spaces include the postgraduate lounge and the student centre, and that students must register for door access when using research labs, the student centre, and the postgraduate lounge.", "Students may park in designated student parking areas at the back of Block A. The handbook notes around 150 parking lots for cars and 45 for motorcycles, and states that students are not allowed to park in front of both buildings because those lots are reserved for staff and visitors.", "Water purifiers are provided in both buildings and are placed on every floor.", "Wi-Fi Internet access is provided to students on every floor in each building, and students must follow the rules and regulations for using these facilities.", "SPeCTRUM stands for Student Powered e-Collaboration Transforming UM. The handbook indicates that students can access it through the faculty's and UM's online platforms, including SPeCTRUM X.", "The SPeCTRUM X site, the SPeCTRUM site, and the UM helpdesk as online support services.", "Students must register for door access when using research labs, the student centre, and the postgraduate lounge."], "retrieval_keywords": ["access", "all", "both", "building", "buildings", "cafeteria", "can", "dentistry", "door", "door access", "e-learning", "edu", "faculty building", "helpdesk", "https", "internet access", "my/", "other facilities", "parking", "parking lots", "postgraduate lounge", "research labs", "spectrum", "spectrumx", "student centre", "students", "surau", "visitors", "water purifiers", "website"], "retrieval_tags": ["general", "other_facilities", "student_support_and_campus_facilities"], "source_text": "not allowed to park their car in front of both buildings because the parking lots are reserved for the faculty staff\nand visitors.\nWater Purifiers\nWater purifiers are provided in both buildings and placed at every floor.\nInternet Access at the building of FCSIT\nThere are WIFI Internet Access provided to students at every floor in each building. Students must obey the\nrules and regulations during the usage of these facilities.\nSPeCTRUM (Student Powered e-Collaboration Transforming UM)\nThis facility is for easy accessibility for student to upload their notes and information regarding their courses.\nAll faculties (excluding Faculty of Medicine & Faculty of Dentistry) and PASUM can browse the SPECTRUM\nwebsite at https://spectrum.um.edu.my/\nFor Faculty of Medicine and Faculty of Dentistry, SPECTRUM website can be browsed at\nhttps://spectrumx.um.edu.my/\nAll queries and suggestions can be directed to https://helpdesk.um.edu.my/\nDoor Access\nStudents must register for door access for using research labs, Student Center and Postgraduate Lounge.\nOTHER FACILITIES\nFACULTY OF COMPUTER SCIENCE AND", "retrieval_text": "Title: Other Facilities - Student Support and Campus Facilities - chunk 2\n\nScope: general\n\nSource document: General Handbook\n\nSection: Other Facilities\n\nSubsection: Student Support and Campus Facilities\n\nCanonical questions:\n- What other student support facilities are available in the faculty?\n- How can students access SPeCTRUM and related online support services?\n- What support spaces are available for postgraduate lounge, student centre, and door access?\n- What information is given about prayer rooms or surau facilities in the faculty?\n- What information is given about vending machines for drinks?\n- What information is given about the faculty cafeteria?\n- What facilities are available in the postgraduate lounge and student centre?\n- What parking arrangements are described for students, staff, and visitors?\n- What water purifier facilities are provided in the faculty buildings?\n- How is Internet access in the faculty building described for students?\n- What is SPeCTRUM and how can students access it?\n- Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?\n- How is door access managed for research labs, the student centre, and the postgraduate lounge?\n\nQuestion variants:\n- What other student support facilities are available in the faculty?\n- How can students access SPeCTRUM and related online support services?\n- What support spaces are available for postgraduate lounge, student centre, and door access?\n- What parking arrangements are described for students, staff, and visitors?\n- What water purifier facilities are provided in the faculty buildings?\n- How is Internet access in the faculty building described for students?\n- What is SPeCTRUM and how can students access it?\n- Which websites or online services are listed for SPeCTRUM, SPeCTRUM X, and helpdesk support?\n- How is door access managed for research labs, the student centre, and the postgraduate lounge?\n- Could you explain how can students access SPeCTRUM and related online support services?\n- Quick check: how can students access SPeCTRUM and related online support services?\n- Could you tell me what support spaces are available for postgraduate lounge, student centre, and door access?\n\nGrounded answer bank:\n- Other student support facilities include prayer rooms (surau), vending machines for drinks, a cafeteria, a postgraduate lounge and student centre, student parking, water purifiers, faculty-wide Internet access, SPeCTRUM and related online support services, and controlled door access for selected spaces.\n- Students can access SPeCTRUM and related online support through the SPeCTRUM X site and the faculty helpdesk. The handbook also notes that Internet access is provided in the faculty buildings and that some services can be browsed through the faculty and UM online systems.\n- Support spaces include the postgraduate lounge and the student centre, and that students must register for door access when using research labs, the student centre, and the postgraduate lounge.\n- Students may park in designated student parking areas at the back of Block A. The handbook notes around 150 parking lots for cars and 45 for motorcycles, and states that students are not allowed to park in front of both buildings because those lots are reserved for staff and visitors.\n- Water purifiers are provided in both buildings and are placed on every floor.\n- Wi-Fi Internet access is provided to students on every floor in each building, and students must follow the rules and regulations for using these facilities.\n- SPeCTRUM stands for Student Powered e-Collaboration Transforming UM. The handbook indicates that students can access it through the faculty's and UM's online platforms, including SPeCTRUM X.\n- The SPeCTRUM X site, the SPeCTRUM site, and the UM helpdesk as online support services.\n- Students must register for door access when using research labs, the student centre, and the postgraduate lounge.\n\nSource chunk text:\nnot allowed to park their car in front of both buildings because the parking lots are reserved for the faculty staff\nand visitors.\nWater Purifiers\nWater purifiers are provided in both buildings and placed at every floor.\nInternet Access at the building of FCSIT\nThere are WIFI Internet Access provided to students at every floor in each building. Students must obey the\nrules and regulations during the usage of these facilities.\nSPeCTRUM (Student Powered e-Collaboration Transforming UM)\nThis facility is for easy accessibility for student to upload their notes and information regarding their courses.\nAll faculties (excluding Faculty of Medicine & Faculty of Dentistry) and PASUM can browse the SPECTRUM\nwebsite at https://spectrum.um.edu.my/\nFor Faculty of Medicine and Faculty of Dentistry, SPECTRUM website can be browsed at\nhttps://spectrumx.um.edu.my/\nAll queries and suggestions can be directed to https://helpdesk.um.edu.my/\nDoor Access\nStudents must register for door access for using research labs, Student Center and Postgraduate Lounge.\nOTHER FACILITIES\nFACULTY OF COMPUTER SCIENCE AND\n\nKeywords: access, all, both, building, buildings, cafeteria, can, dentistry, door, door access, e-learning, edu, faculty building, helpdesk, https, internet access, my/, other facilities, parking, parking lots, postgraduate lounge, research labs, spectrum, spectrumx, student centre, students, surau, visitors, water purifiers, website"}
+{"kb_id": "RAGKB-0022", "knowledge_group_id": "KG-0053", "source_chunk_id": "SC-00022", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Postgraduate Faculty Identity", "subsection": "Vision and Mission", "title": "Postgraduate Faculty Identity - Vision and Mission - chunk 1", "pages": [186], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 11, "linked_index_ids": ["UMI-0011", "UMI-0012", "UMI-0200", "UMI-0201"], "group_canonical_questions": ["What is the postgraduate handbook vision?", "What is the postgraduate handbook mission?", "Which statement in the handbook expresses the postgraduate vision?", "Which statement in the handbook expresses the postgraduate mission?"], "chunk_question_variants": ["What is the postgraduate handbook vision?", "What is the postgraduate handbook mission?", "Which statement in the handbook expresses the postgraduate vision?", "Which statement in the handbook expresses the postgraduate mission?", "Could you explain the postgraduate handbook vision?", "Real quick, what's the postgraduate handbook vision?", "Could you explain the postgraduate handbook mission?", "Hey, what's the postgraduate handbook mission?", "Could you tell me which statement in the handbook expresses the postgraduate vision?", "Ngl, which statement in the handbook expresses the postgraduate vision?", "Could you tell me which statement in the handbook expresses the postgraduate mission?"], "matched_qa_ids": ["qa_000011", "qa_000012", "qa_000200", "qa_000201", "qa_000416", "qa_000417", "qa_000418", "qa_000419", "qa_000720", "qa_000721", "qa_000722"], "grounded_answer_bank": ["The postgraduate handbook states the vision as: A globally-influential faculty, enriching lives and shaping the future through computing technology.", "The postgraduate handbook states the mission as: To enrich lives and shape the future for the nation and humanity through education, research and technopreneurship.", "The postgraduate vision is: A globally-influential faculty, enriching lives and shaping the future through computing technology.", "The postgraduate mission is: To enrich lives and shape the future for the nation and humanity through education, research and technopreneurship."], "retrieval_keywords": ["academic", "advanced", "can", "changing", "computing", "contribute", "dedicated", "future", "lives", "mission", "mission statement", "nation", "postgraduate", "postgraduate mission", "postgraduate vision", "quality", "research", "vision", "vision statement"], "retrieval_tags": ["postgraduate", "postgraduate_faculty_identity", "vision_and_mission"], "source_text": "To enrich lives and shape the future for the nation and humanity through\neducation, research and technopreneurship\nA globally-influential faculty, enriching lives & shaping the future through\ncomputing technology\nTo sustain an outstanding faculty dedicated to excellence in undergraduate and\npostgraduate teaching, learning and research\nTo contribute towards the development of the nation through the production of\nquality research and publications\nTo provide innovative academic programs that can respond to the changing needs\nof the society\nTo produce quality graduates who are equipped with advanced knowledge and\nskills of computer science and information technology\nv i s i o n\nm i s i o n\nO B J E C T I V E S", "retrieval_text": "Title: Postgraduate Faculty Identity - Vision and Mission - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Postgraduate Faculty Identity\n\nSubsection: Vision and Mission\n\nCanonical questions:\n- What is the postgraduate handbook vision?\n- What is the postgraduate handbook mission?\n- Which statement in the handbook expresses the postgraduate vision?\n- Which statement in the handbook expresses the postgraduate mission?\n\nQuestion variants:\n- What is the postgraduate handbook vision?\n- What is the postgraduate handbook mission?\n- Which statement in the handbook expresses the postgraduate vision?\n- Which statement in the handbook expresses the postgraduate mission?\n- Could you explain the postgraduate handbook vision?\n- Real quick, what's the postgraduate handbook vision?\n- Could you explain the postgraduate handbook mission?\n- Hey, what's the postgraduate handbook mission?\n- Could you tell me which statement in the handbook expresses the postgraduate vision?\n- Ngl, which statement in the handbook expresses the postgraduate vision?\n- Could you tell me which statement in the handbook expresses the postgraduate mission?\n\nGrounded answer bank:\n- The postgraduate handbook states the vision as: A globally-influential faculty, enriching lives and shaping the future through computing technology.\n- The postgraduate handbook states the mission as: To enrich lives and shape the future for the nation and humanity through education, research and technopreneurship.\n- The postgraduate vision is: A globally-influential faculty, enriching lives and shaping the future through computing technology.\n- The postgraduate mission is: To enrich lives and shape the future for the nation and humanity through education, research and technopreneurship.\n\nSource chunk text:\nTo enrich lives and shape the future for the nation and humanity through\neducation, research and technopreneurship\nA globally-influential faculty, enriching lives & shaping the future through\ncomputing technology\nTo sustain an outstanding faculty dedicated to excellence in undergraduate and\npostgraduate teaching, learning and research\nTo contribute towards the development of the nation through the production of\nquality research and publications\nTo provide innovative academic programs that can respond to the changing needs\nof the society\nTo produce quality graduates who are equipped with advanced knowledge and\nskills of computer science and information technology\nv i s i o n\nm i s i o n\nO B J E C T I V E S\n\nKeywords: academic, advanced, can, changing, computing, contribute, dedicated, future, lives, mission, mission statement, nation, postgraduate, postgraduate mission, postgraduate vision, quality, research, vision, vision statement"}
+{"kb_id": "RAGKB-0023", "knowledge_group_id": "KG-0001", "source_chunk_id": "SC-00023", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Dean's Office and Management", "title": "Faculty Staff - Dean's Office and Management - chunk 1", "pages": [6, 7], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 21, "linked_index_ids": ["UMI-0013", "UMI-0186", "UMI-0187", "UMI-0188", "UMI-0189", "UMI-0190", "UMI-0191", "UMI-0192"], "group_canonical_questions": ["Who are the main leaders in the dean's office and faculty management?", "Who is listed as the dean of the faculty?", "Who is listed as the Deputy Dean (Postgraduate)?", "Who is listed as the Deputy Dean (Undergraduate)?", "Who is listed as the Deputy Dean (Research)?", "Who is listed as the Deputy Dean (Development)?", "Who is listed as the Deputy Dean (Student Affairs)?", "Who is listed as the honorary professor or honorary fellows in the faculty staff pages?"], "chunk_question_variants": ["Who is listed as the Deputy Dean (Postgraduate)?", "Who is listed as the Deputy Dean (Undergraduate)?", "Who is listed as the Deputy Dean (Research)?", "Can you tell me who are the main leaders in the dean's office and faculty management?", "Just asking, who are the main leaders in the dean's office and faculty management?", "Can you tell me who is listed as the Deputy Dean (Postgraduate)?", "Can you tell me who is listed as the Deputy Dean (Undergraduate)?", "Low-key, who's listed as the Deputy Dean (Undergraduate)?", "Can you tell me who is listed as the Deputy Dean (Research)?"], "matched_qa_ids": ["qa_000187", "qa_000188", "qa_000189", "qa_000420", "qa_000421", "qa_000701", "qa_000702", "qa_000703", "qa_000704"], "grounded_answer_bank": ["Dr. Ong Sim Ying is listed as the Deputy Dean (Postgraduate).", "Professor Dr. Nor Liyana Mohd Shuib is listed as the Deputy Dean (Undergraduate).", "Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri is listed as the Deputy Dean (Research).", "The dean's office and faculty management pages list Associate Prof. Dr. Norisma Idris as Dean, Dr. Ong Sim Ying as Deputy Dean (Postgraduate), Professor Dr. Nor Liyana Mohd Shuib as Deputy Dean (Undergraduate), Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri as Deputy Dean (Research), Associate Prof. Dr. Siti Hafizah Ab. Hamid as Deputy Dean (Development), and Dr. Erma Rahayu Mohd Faizal Abdullah as Deputy Dean (Student Affairs)."], "retrieval_keywords": ["Deputy Dean (Postgraduate)", "Deputy Dean (Research)", "Deputy Dean (Undergraduate)", "associate", "azzuhri", "bcomsc", "beng", "bsc", "dean", "deputy", "deputy dean", "faculty management", "hons", "management", "phd", "prof", "university", "utm"], "retrieval_tags": ["dean_s_office_and_management", "faculty_staff", "general"], "source_text": "DEAN’S OFFICE\nAssociate Prof. Dr. Norisma Idris\na \"PhD (Malaya), M.Sc. (Malaya), B.CS. (Hons) (Malaya)\nDean\n2 Dr. Ong Sim Ying\n/ PhD (UTM), BComSc (SE) (Malaya)\nDeputy Dean\n(Postgraduate)\n: Professor Dr. Nor Liyana Mohd Shuib\nPhD (Malaya), MIT (UKM), BSc (Computer)(Hons)(UTM)\nDeputy Dean\n(Undergraduate)\n: Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri\nPhD of Computer Networks (University of\nQueensland), MSc (IT) (Malaysia University of Science\n& Technology), BEng (Telecommunication) (Malaya)\nDeputy Dean\n(Research)", "retrieval_text": "Title: Faculty Staff - Dean's Office and Management - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Dean's Office and Management\n\nCanonical questions:\n- Who are the main leaders in the dean's office and faculty management?\n- Who is listed as the dean of the faculty?\n- Who is listed as the Deputy Dean (Postgraduate)?\n- Who is listed as the Deputy Dean (Undergraduate)?\n- Who is listed as the Deputy Dean (Research)?\n- Who is listed as the Deputy Dean (Development)?\n- Who is listed as the Deputy Dean (Student Affairs)?\n- Who is listed as the honorary professor or honorary fellows in the faculty staff pages?\n\nQuestion variants:\n- Who is listed as the Deputy Dean (Postgraduate)?\n- Who is listed as the Deputy Dean (Undergraduate)?\n- Who is listed as the Deputy Dean (Research)?\n- Can you tell me who are the main leaders in the dean's office and faculty management?\n- Just asking, who are the main leaders in the dean's office and faculty management?\n- Can you tell me who is listed as the Deputy Dean (Postgraduate)?\n- Can you tell me who is listed as the Deputy Dean (Undergraduate)?\n- Low-key, who's listed as the Deputy Dean (Undergraduate)?\n- Can you tell me who is listed as the Deputy Dean (Research)?\n\nGrounded answer bank:\n- Dr. Ong Sim Ying is listed as the Deputy Dean (Postgraduate).\n- Professor Dr. Nor Liyana Mohd Shuib is listed as the Deputy Dean (Undergraduate).\n- Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri is listed as the Deputy Dean (Research).\n- The dean's office and faculty management pages list Associate Prof. Dr. Norisma Idris as Dean, Dr. Ong Sim Ying as Deputy Dean (Postgraduate), Professor Dr. Nor Liyana Mohd Shuib as Deputy Dean (Undergraduate), Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri as Deputy Dean (Research), Associate Prof. Dr. Siti Hafizah Ab. Hamid as Deputy Dean (Development), and Dr. Erma Rahayu Mohd Faizal Abdullah as Deputy Dean (Student Affairs).\n\nSource chunk text:\nDEAN’S OFFICE\nAssociate Prof. Dr. Norisma Idris\na \"PhD (Malaya), M.Sc. (Malaya), B.CS. (Hons) (Malaya)\nDean\n2 Dr. Ong Sim Ying\n/ PhD (UTM), BComSc (SE) (Malaya)\nDeputy Dean\n(Postgraduate)\n: Professor Dr. Nor Liyana Mohd Shuib\nPhD (Malaya), MIT (UKM), BSc (Computer)(Hons)(UTM)\nDeputy Dean\n(Undergraduate)\n: Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri\nPhD of Computer Networks (University of\nQueensland), MSc (IT) (Malaysia University of Science\n& Technology), BEng (Telecommunication) (Malaya)\nDeputy Dean\n(Research)\n\nKeywords: Deputy Dean (Postgraduate), Deputy Dean (Research), Deputy Dean (Undergraduate), associate, azzuhri, bcomsc, beng, bsc, dean, deputy, deputy dean, faculty management, hons, management, phd, prof, university, utm"}
+{"kb_id": "RAGKB-0024", "knowledge_group_id": "KG-0001", "source_chunk_id": "SC-00024", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Dean's Office and Management", "title": "Faculty Staff - Dean's Office and Management - chunk 2", "pages": [7], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 21, "linked_index_ids": ["UMI-0013", "UMI-0186", "UMI-0187", "UMI-0188", "UMI-0189", "UMI-0190", "UMI-0191", "UMI-0192"], "group_canonical_questions": ["Who are the main leaders in the dean's office and faculty management?", "Who is listed as the dean of the faculty?", "Who is listed as the Deputy Dean (Postgraduate)?", "Who is listed as the Deputy Dean (Undergraduate)?", "Who is listed as the Deputy Dean (Research)?", "Who is listed as the Deputy Dean (Development)?", "Who is listed as the Deputy Dean (Student Affairs)?", "Who is listed as the honorary professor or honorary fellows in the faculty staff pages?"], "chunk_question_variants": ["Who are the main leaders in the dean's office and faculty management?", "Who is listed as the dean of the faculty?", "Who is listed as the Deputy Dean (Development)?", "Who is listed as the Deputy Dean (Student Affairs)?", "Who is listed as the honorary professor or honorary fellows in the faculty staff pages?", "Can you tell me who is listed as the dean of the faculty?", "Hey, who's listed as the dean of the faculty?", "Can you tell me who is listed as the Deputy Dean (Development)?", "BTW, who's listed as the Deputy Dean (Development)?", "Can you tell me who is listed as the Deputy Dean (Student Affairs)?", "Can you tell me who is listed as the honorary professor or honorary fellows in the faculty staff pages?", "So basically, who's listed as the honorary professor or honorary fellows in the faculty staff pages?"], "matched_qa_ids": ["qa_000013", "qa_000186", "qa_000190", "qa_000191", "qa_000192", "qa_000699", "qa_000700", "qa_000705", "qa_000706", "qa_000707", "qa_000708", "qa_000709"], "grounded_answer_bank": ["The dean's office and faculty management pages list Associate Prof. Dr. Norisma Idris as Dean, Dr. Ong Sim Ying as Deputy Dean (Postgraduate), Professor Dr. Nor Liyana Mohd Shuib as Deputy Dean (Undergraduate), Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri as Deputy Dean (Research), Associate Prof. Dr. Siti Hafizah Ab. Hamid as Deputy Dean (Development), and Dr. Erma Rahayu Mohd Faizal Abdullah as Deputy Dean (Student Affairs).", "Associate Prof. Dr. Norisma Idris is listed as the Dean.", "Associate Prof. Dr. Siti Hafizah Ab. Hamid is listed as the Deputy Dean (Development).", "Dr. Erma Rahayu Mohd Faizal Abdullah is listed as the Deputy Dean (Student Affairs).", "The staff pages list Honorary Professor Dr. Abdullah Gani and Honorary Professor Datin Dr. Sameem Abdul Kareem."], "retrieval_keywords": ["Deputy Dean (Development)", "Deputy Dean (Student Affairs)", "abdul", "abdullah", "bcomsc", "bsc", "dean", "deputy", "deputy dean", "faculty management", "honorary", "honorary fellows", "honorary professor", "hull", "management", "master", "phd", "professor", "university"], "retrieval_tags": ["dean_s_office_and_management", "faculty_staff", "general"], "source_text": "Deputy Dean\n(Development)\nr\nDeputy Dean\n(Student Affairs)\nHONORARY PROFESSOR\nHEAD OF DEPARTMENT\nSoftware Engineering\nAssociate Prof. Dr. Siti Hafizah Ab. Hamid\nPhD (Malaya), M.Sc (Computer System Design),\n(Manchester University Institute of Science and\nTechnology), BSc (Hons) (Computer) (UTM)\nDr. Erma Rahayu Mohd Faizal Abdullah\nPhD (UTM), Master OITA University (Kejuruteraan\nElektrik), BComSc (Malaya)\nHonorary Professor Dr. Abdullah Gani\nPhD, University of Sheffield, UK, MSc (Information\nManagement, Hull University, UK, 8.Phil, Hull\nUniversity, UK\nHonorary Professor Datin Dr. Sameem Abdul Kareem\nPhD, UM (2002), MCS, Univ. of Wales, UK (1992), BSc,\nUM (1986)\nDr. Asmiza Abdul Sani\nPhD (University of York, UK), Master (University of\nYork, UK), BComSc (SE) (Malaya)", "retrieval_text": "Title: Faculty Staff - Dean's Office and Management - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Dean's Office and Management\n\nCanonical questions:\n- Who are the main leaders in the dean's office and faculty management?\n- Who is listed as the dean of the faculty?\n- Who is listed as the Deputy Dean (Postgraduate)?\n- Who is listed as the Deputy Dean (Undergraduate)?\n- Who is listed as the Deputy Dean (Research)?\n- Who is listed as the Deputy Dean (Development)?\n- Who is listed as the Deputy Dean (Student Affairs)?\n- Who is listed as the honorary professor or honorary fellows in the faculty staff pages?\n\nQuestion variants:\n- Who are the main leaders in the dean's office and faculty management?\n- Who is listed as the dean of the faculty?\n- Who is listed as the Deputy Dean (Development)?\n- Who is listed as the Deputy Dean (Student Affairs)?\n- Who is listed as the honorary professor or honorary fellows in the faculty staff pages?\n- Can you tell me who is listed as the dean of the faculty?\n- Hey, who's listed as the dean of the faculty?\n- Can you tell me who is listed as the Deputy Dean (Development)?\n- BTW, who's listed as the Deputy Dean (Development)?\n- Can you tell me who is listed as the Deputy Dean (Student Affairs)?\n- Can you tell me who is listed as the honorary professor or honorary fellows in the faculty staff pages?\n- So basically, who's listed as the honorary professor or honorary fellows in the faculty staff pages?\n\nGrounded answer bank:\n- The dean's office and faculty management pages list Associate Prof. Dr. Norisma Idris as Dean, Dr. Ong Sim Ying as Deputy Dean (Postgraduate), Professor Dr. Nor Liyana Mohd Shuib as Deputy Dean (Undergraduate), Associate Prof. Dr. Dr. Saaidal Razzalli Azzuhri as Deputy Dean (Research), Associate Prof. Dr. Siti Hafizah Ab. Hamid as Deputy Dean (Development), and Dr. Erma Rahayu Mohd Faizal Abdullah as Deputy Dean (Student Affairs).\n- Associate Prof. Dr. Norisma Idris is listed as the Dean.\n- Associate Prof. Dr. Siti Hafizah Ab. Hamid is listed as the Deputy Dean (Development).\n- Dr. Erma Rahayu Mohd Faizal Abdullah is listed as the Deputy Dean (Student Affairs).\n- The staff pages list Honorary Professor Dr. Abdullah Gani and Honorary Professor Datin Dr. Sameem Abdul Kareem.\n\nSource chunk text:\nDeputy Dean\n(Development)\nr\nDeputy Dean\n(Student Affairs)\nHONORARY PROFESSOR\nHEAD OF DEPARTMENT\nSoftware Engineering\nAssociate Prof. Dr. Siti Hafizah Ab. Hamid\nPhD (Malaya), M.Sc (Computer System Design),\n(Manchester University Institute of Science and\nTechnology), BSc (Hons) (Computer) (UTM)\nDr. Erma Rahayu Mohd Faizal Abdullah\nPhD (UTM), Master OITA University (Kejuruteraan\nElektrik), BComSc (Malaya)\nHonorary Professor Dr. Abdullah Gani\nPhD, University of Sheffield, UK, MSc (Information\nManagement, Hull University, UK, 8.Phil, Hull\nUniversity, UK\nHonorary Professor Datin Dr. Sameem Abdul Kareem\nPhD, UM (2002), MCS, Univ. of Wales, UK (1992), BSc,\nUM (1986)\nDr. Asmiza Abdul Sani\nPhD (University of York, UK), Master (University of\nYork, UK), BComSc (SE) (Malaya)\n\nKeywords: Deputy Dean (Development), Deputy Dean (Student Affairs), abdul, abdullah, bcomsc, bsc, dean, deputy, deputy dean, faculty management, honorary, honorary fellows, honorary professor, hull, management, master, phd, professor, university"}
+{"kb_id": "RAGKB-0025", "knowledge_group_id": "KG-0001", "source_chunk_id": "SC-00025", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Dean's Office and Management", "title": "Faculty Staff - Dean's Office and Management - chunk 3", "pages": [8], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 21, "linked_index_ids": ["UMI-0013", "UMI-0186", "UMI-0187", "UMI-0188", "UMI-0189", "UMI-0190", "UMI-0191", "UMI-0192"], "group_canonical_questions": ["Who are the main leaders in the dean's office and faculty management?", "Who is listed as the dean of the faculty?", "Who is listed as the Deputy Dean (Postgraduate)?", "Who is listed as the Deputy Dean (Undergraduate)?", "Who is listed as the Deputy Dean (Research)?", "Who is listed as the Deputy Dean (Development)?", "Who is listed as the Deputy Dean (Student Affairs)?", "Who is listed as the honorary professor or honorary fellows in the faculty staff pages?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["amirrudin", "associate", "axtifical", "beng", "bournemouth", "bsc", "college", "hons", "msc", "phd", "southampton", "university"], "retrieval_tags": [], "source_text": "Axtifical Intelligence\nComputer System\nand Technology\nInformation Systems\nDr. Muhammad Shahreeza Safiruz Kassim\nPhD (Computer Science) (University of Southampton),\nMSc (Al)(Distinction) (University of Southampton, UK)\n‘BEng (Nagaoka University of Technology, Japan)\nAssociate Prof. Dr. Amirrudin Kamsin\nPhD (University College London, UK), MSc (NCCA,\nBournemouth University, UK), BSc (Hons) (Malaya)\nDr. Hoo Wai Lam\nPhD (UM), 8.CS. (Hons) (UM)", "retrieval_text": "Title: Faculty Staff - Dean's Office and Management - chunk 3\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Dean's Office and Management\n\nCanonical questions:\n- Who are the main leaders in the dean's office and faculty management?\n- Who is listed as the dean of the faculty?\n- Who is listed as the Deputy Dean (Postgraduate)?\n- Who is listed as the Deputy Dean (Undergraduate)?\n- Who is listed as the Deputy Dean (Research)?\n- Who is listed as the Deputy Dean (Development)?\n- Who is listed as the Deputy Dean (Student Affairs)?\n- Who is listed as the honorary professor or honorary fellows in the faculty staff pages?\n\nSource chunk text:\nAxtifical Intelligence\nComputer System\nand Technology\nInformation Systems\nDr. Muhammad Shahreeza Safiruz Kassim\nPhD (Computer Science) (University of Southampton),\nMSc (Al)(Distinction) (University of Southampton, UK)\n‘BEng (Nagaoka University of Technology, Japan)\nAssociate Prof. Dr. Amirrudin Kamsin\nPhD (University College London, UK), MSc (NCCA,\nBournemouth University, UK), BSc (Hons) (Malaya)\nDr. Hoo Wai Lam\nPhD (UM), 8.CS. (Hons) (UM)\n\nKeywords: amirrudin, associate, axtifical, beng, bournemouth, bsc, college, hons, msc, phd, southampton, university"}
+{"kb_id": "RAGKB-0026", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00026", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 1", "pages": [9], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?", "Can you tell me who leads the Department of Artificial Intelligence and which staff are listed there?", "Low-key, who leads the Department of Artificial Intelligence and which staff are listed there?", "Can you tell me who is listed as the head of the Department of Artificial Intelligence?", "Could you tell me which areas of specialization are represented in the Department of Artificial Intelligence?", "Real quick, which areas of specialization are represented in the Department of Artificial Intelligence?"], "matched_qa_ids": ["qa_000014", "qa_000193", "qa_000194", "qa_000422", "qa_000423", "qa_000710", "qa_000711", "qa_000712"], "grounded_answer_bank": ["The Department of Artificial Intelligence is headed by Dr. Muhammad Shahreeza Safiruz Kassim. The staff pages list department members together with their academic qualifications and areas of specialization.", "Dr. Muhammad Shahreeza Safiruz Kassim is listed as the head of the Department of Artificial Intelligence.", "The Department of Artificial Intelligence staff pages show specializations such as Bayesian probability modelling, machine learning, parameter estimation, fuzzy systems, computer vision, image processing, natural language processing, artificial intelligence, deep learning, health informatics, and biomedical-related AI applications."], "retrieval_keywords": ["Artificial Intelligence", "areas of specialization", "artificial", "bachelor", "computing", "department", "department of artificial intelligence", "engineering", "head of department", "hons", "interaction", "kassim", "learning", "master", "phd", "staff", "university"], "retrieval_tags": ["department_of_artificial_intelligence", "faculty_staff", "general"], "source_text": "DEPARTMENT OF ARTIFICIAL INTELLIGENCE\nHead of Department:\nDr. Muhammad Shahreeza Safiruz Kassim\nMuhammad\n‘Shahreeza Safiruz\nKassim\n(0813)\nan\nMSc in Artificial inteligence\n(Distinction), University of\n‘Southampton, UK\nBachelor of Engineering,\nNagaoka University of\nTechnology, Japan\nesian probabilty modeling\n'* Machine Learning\n‘* Parameter estimation\nZ| Prot it Dr Chan\n‘Chee Seng\n(vK7)\nin\nPhD (2008)\nPhO, University of Portsmouth,\nMaster (2008)\nMSc in Communication\n‘Systems Engineering,\nUniversity of Portsmouth, UK.\nBachelor (2003)\n‘BEng (Hons) in Electronics\nEngineering, Multimedia\nUniversity\n+ Fuazy Sels_& Systems and\nComputer Vision (Image/Video\nContent Analysis and Human-\nRobot Interaction)\n3_| Prot Dr Loo Cha\nKiong\n(vkK6)\nth\nPHD (2004)\nPhO, Universiti Sains Malaysia\nBachelor (1996)\nBachelor of Engineering\n(Hons), Universiti Malaya,\n© Soft Computing\nAffective Computing\n‘¢ Human-Robot interaction (HIR)\n© Deep Learning,\n“4_[ Asoo. Prof. Or.\nNorisma Idris\n(0s14)\nia\nPAO 2077)\nPhD (Natural Language\nProcessing), Universiti Malaya,\nMaster (2001)\nMaster of Computer Science,", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nQuestion variants:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n- Can you tell me who leads the Department of Artificial Intelligence and which staff are listed there?\n- Low-key, who leads the Department of Artificial Intelligence and which staff are listed there?\n- Can you tell me who is listed as the head of the Department of Artificial Intelligence?\n- Could you tell me which areas of specialization are represented in the Department of Artificial Intelligence?\n- Real quick, which areas of specialization are represented in the Department of Artificial Intelligence?\n\nGrounded answer bank:\n- The Department of Artificial Intelligence is headed by Dr. Muhammad Shahreeza Safiruz Kassim. The staff pages list department members together with their academic qualifications and areas of specialization.\n- Dr. Muhammad Shahreeza Safiruz Kassim is listed as the head of the Department of Artificial Intelligence.\n- The Department of Artificial Intelligence staff pages show specializations such as Bayesian probability modelling, machine learning, parameter estimation, fuzzy systems, computer vision, image processing, natural language processing, artificial intelligence, deep learning, health informatics, and biomedical-related AI applications.\n\nSource chunk text:\nDEPARTMENT OF ARTIFICIAL INTELLIGENCE\nHead of Department:\nDr. Muhammad Shahreeza Safiruz Kassim\nMuhammad\n‘Shahreeza Safiruz\nKassim\n(0813)\nan\nMSc in Artificial inteligence\n(Distinction), University of\n‘Southampton, UK\nBachelor of Engineering,\nNagaoka University of\nTechnology, Japan\nesian probabilty modeling\n'* Machine Learning\n‘* Parameter estimation\nZ| Prot it Dr Chan\n‘Chee Seng\n(vK7)\nin\nPhD (2008)\nPhO, University of Portsmouth,\nMaster (2008)\nMSc in Communication\n‘Systems Engineering,\nUniversity of Portsmouth, UK.\nBachelor (2003)\n‘BEng (Hons) in Electronics\nEngineering, Multimedia\nUniversity\n+ Fuazy Sels_& Systems and\nComputer Vision (Image/Video\nContent Analysis and Human-\nRobot Interaction)\n3_| Prot Dr Loo Cha\nKiong\n(vkK6)\nth\nPHD (2004)\nPhO, Universiti Sains Malaysia\nBachelor (1996)\nBachelor of Engineering\n(Hons), Universiti Malaya,\n© Soft Computing\nAffective Computing\n‘¢ Human-Robot interaction (HIR)\n© Deep Learning,\n“4_[ Asoo. Prof. Or.\nNorisma Idris\n(0s14)\nia\nPAO 2077)\nPhD (Natural Language\nProcessing), Universiti Malaya,\nMaster (2001)\nMaster of Computer Science,\n\nKeywords: Artificial Intelligence, areas of specialization, artificial, bachelor, computing, department, department of artificial intelligence, engineering, head of department, hons, interaction, kassim, learning, master, phd, staff, university"}
+{"kb_id": "RAGKB-0027", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00027", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 2", "pages": [9], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["adaptive", "algorithm", "analysis", "arificaa", "assessment", "automated", "bachelor", "decomposition", "education", "essay", "processing", "text"], "retrieval_tags": [], "source_text": "Universiti Malaya.\nBachelor (1999)\nBachelor of Computer Science\n(Hons), Universiti Malaya,\n‘ Arificaa intelligence in Education\n(Automated summarization\n‘assessment, Summary sentence\n‘decomposition, Adaptive\nlearning, essay grading system)\nNatural Language Processing\n(Text Normalization, Malay text\nprocessing, Stemming algorithm,\n‘Sentiment Analysis))", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\nUniversiti Malaya.\nBachelor (1999)\nBachelor of Computer Science\n(Hons), Universiti Malaya,\n‘ Arificaa intelligence in Education\n(Automated summarization\n‘assessment, Summary sentence\n‘decomposition, Adaptive\nlearning, essay grading system)\nNatural Language Processing\n(Text Normalization, Malay text\nprocessing, Stemming algorithm,\n‘Sentiment Analysis))\n\nKeywords: adaptive, algorithm, analysis, arificaa, assessment, automated, bachelor, decomposition, education, essay, processing, text"}
+{"kb_id": "RAGKB-0028", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00028", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 3", "pages": [10], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["bachelor", "degree", "doctoral", "elektrik", "engineering", "kejuruteraan", "master", "multimedia", "pad", "recognition", "university", "vision"], "retrieval_tags": [], "source_text": "‘Assoc. Prof. Dr. Aznul\nQalid Md Sabri\n(0s14)\nPAD (2073)\nDoctoral Degree (PhD), Ecole\nDes Mines, Douai, Perancis\n(Kepintaran Buatan)\nMaster (2009)\nMasters in Vision and\nRobotics, Heriot-Watt\nUniversity\nMaster Degree, (2009)\nUniversite De Bourgogne\n(Robotik)\nBachelor (2006)\nBachelor of Computer\n‘Science, Universiti Malaya\n‘Computer vision (Human\n‘Action Classification, Feature\nExtraction, Object Detection!\nRecognition, Biometrics,\nMachine ‘Learning, Data\nAnalytics)\nDr. Erma Rahaya\nMohd Faizal Abdullah\n(0813)\nPAD (2073)\nDoctoral Degree, Universiti\nTeknologi MARA\n(Kejuruteraan Elektrik)\nMaster, (2007)\n‘OITA University (Kejuruteraan\nElektrik)\nBachelor (2003)\nBachelor of Computer Science\n(Hons)(Multimedia), Universiti\nMalaya\n‘@ Computer_Vision and Image\nProcessing\n*Neural_ Networks, Genetic\nAlgorithms and Fuzzy Logic\n(Backpropagation algorithm)\n‘* Pattern Recognition\nDrew Wel Shiung\n(0813)\nPAD (202) (Computer\n‘Science), Universiti Malaya\nMaster of Biomedical\nEngineering (2015), Universiti\nMalaya\nBachelor of Electronics\nEngineering (2010),\nMultimedia University", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 3\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\n‘Assoc. Prof. Dr. Aznul\nQalid Md Sabri\n(0s14)\nPAD (2073)\nDoctoral Degree (PhD), Ecole\nDes Mines, Douai, Perancis\n(Kepintaran Buatan)\nMaster (2009)\nMasters in Vision and\nRobotics, Heriot-Watt\nUniversity\nMaster Degree, (2009)\nUniversite De Bourgogne\n(Robotik)\nBachelor (2006)\nBachelor of Computer\n‘Science, Universiti Malaya\n‘Computer vision (Human\n‘Action Classification, Feature\nExtraction, Object Detection!\nRecognition, Biometrics,\nMachine ‘Learning, Data\nAnalytics)\nDr. Erma Rahaya\nMohd Faizal Abdullah\n(0813)\nPAD (2073)\nDoctoral Degree, Universiti\nTeknologi MARA\n(Kejuruteraan Elektrik)\nMaster, (2007)\n‘OITA University (Kejuruteraan\nElektrik)\nBachelor (2003)\nBachelor of Computer Science\n(Hons)(Multimedia), Universiti\nMalaya\n‘@ Computer_Vision and Image\nProcessing\n*Neural_ Networks, Genetic\nAlgorithms and Fuzzy Logic\n(Backpropagation algorithm)\n‘* Pattern Recognition\nDrew Wel Shiung\n(0813)\nPAD (202) (Computer\n‘Science), Universiti Malaya\nMaster of Biomedical\nEngineering (2015), Universiti\nMalaya\nBachelor of Electronics\nEngineering (2010),\nMultimedia University\n\nKeywords: bachelor, degree, doctoral, elektrik, engineering, kejuruteraan, master, multimedia, pad, recognition, university, vision"}
+{"kb_id": "RAGKB-0029", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00029", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 4", "pages": [10], "chunk_index": 4, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affective", "artificial", "bachelor", "chee", "comp", "computing", "evolutionary", "fuzzy", "hors", "master", "pad", "vision"], "retrieval_tags": [], "source_text": "‘Affective computing, artificial\nintelligence, evolutionary\n‘computing, neural networks.\n‘Dr, Lim Chee Kau\n(0813)\nPAD (2075)\nPhO (Comp Science),\nUniversiti Malaya\nMaster (2002)\nMaster of Computer, Universiti\nMalaya\nBachelor (1996)\nBachelor of Science (Hors),\nUniversiti Sains Malaysia\n‘* Fuzzy Relational Theory\n‘¢ Fuzzy Logic\nDr. Nurul Japar\n(0813)\nPAD (Oz)\nPhD (Computer Vision),\nUniversiti Malaya\nBachelor (2018)\nBachelor of Computer Science\n(Artificial inteligence),\nUniversiti Malaya,\n‘> Image Processing\n‘* Computer Vision\n‘* Machine Learming", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 4\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\n‘Affective computing, artificial\nintelligence, evolutionary\n‘computing, neural networks.\n‘Dr, Lim Chee Kau\n(0813)\nPAD (2075)\nPhO (Comp Science),\nUniversiti Malaya\nMaster (2002)\nMaster of Computer, Universiti\nMalaya\nBachelor (1996)\nBachelor of Science (Hors),\nUniversiti Sains Malaysia\n‘* Fuzzy Relational Theory\n‘¢ Fuzzy Logic\nDr. Nurul Japar\n(0813)\nPAD (Oz)\nPhD (Computer Vision),\nUniversiti Malaya\nBachelor (2018)\nBachelor of Computer Science\n(Artificial inteligence),\nUniversiti Malaya,\n‘> Image Processing\n‘* Computer Vision\n‘* Machine Learming\n\nKeywords: affective, artificial, bachelor, chee, comp, computing, evolutionary, fuzzy, hors, master, pad, vision"}
+{"kb_id": "RAGKB-0030", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00030", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 5", "pages": [11], "chunk_index": 5, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["agent", "artificial", "bachelor", "biomedical", "cognitive", "computing", "master", "mobile", "pad", "phd", "security", "university"], "retrieval_tags": [], "source_text": "70.\nDr. Saw Shier Nee\n(0813)\nPAD (2019)\nPhD, National University of\n‘Singapore\nBachelor (2013)\nBachelor of Biomedical\nEngineering, Universiti Malaya\nTin Healtheare\n¢ Health informatics\n‘¢ Machine Learning\nTT\n‘Dr. Unaizah Harum\n‘Obaidellah\n(0813)\nPRO QO\nCognitive Science, University\nof Sussex, UK\nMaster (2007)\nMaster of Computer Science\n(Artificial intelligence),\nUniversiti Malaya,\nBachelor (2004)\nBachelor of Computer Science\n(Artificial inteligence),\nUniversiti Malaya\n‘Cognitive Science (Diagrams,\nSemertic and spatial\nrepresentation, Memory,\nLeaming)\n‘*Blomedical simulation &\n‘modeling\n1%\nDr, Woo Chaw Seng\n(0813)\nPAD (2007)\nPhD, Queensland University of\nTechnology, Australia\nMaster (1999)\nMaster of Computer Science,\nUniversiti Malaya.\nBachelor (1996)\nBachelor of Computer\n‘Science, Universiti Malaya\n‘© Arificial Neural Network\n© Biomedical image\n‘Segmentation\n© Wavelet Transform\nApplications\n© Data Hiding and\nSteganography (Multimedia\nWatermarking)\n© Mobile Computing (mobile\nsecurity)\n© Soft Computing (Swarm\nBehavior, Software Agent)\n© Security Services Sn: Digital", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 5\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\n70.\nDr. Saw Shier Nee\n(0813)\nPAD (2019)\nPhD, National University of\n‘Singapore\nBachelor (2013)\nBachelor of Biomedical\nEngineering, Universiti Malaya\nTin Healtheare\n¢ Health informatics\n‘¢ Machine Learning\nTT\n‘Dr. Unaizah Harum\n‘Obaidellah\n(0813)\nPRO QO\nCognitive Science, University\nof Sussex, UK\nMaster (2007)\nMaster of Computer Science\n(Artificial intelligence),\nUniversiti Malaya,\nBachelor (2004)\nBachelor of Computer Science\n(Artificial inteligence),\nUniversiti Malaya\n‘Cognitive Science (Diagrams,\nSemertic and spatial\nrepresentation, Memory,\nLeaming)\n‘*Blomedical simulation &\n‘modeling\n1%\nDr, Woo Chaw Seng\n(0813)\nPAD (2007)\nPhD, Queensland University of\nTechnology, Australia\nMaster (1999)\nMaster of Computer Science,\nUniversiti Malaya.\nBachelor (1996)\nBachelor of Computer\n‘Science, Universiti Malaya\n‘© Arificial Neural Network\n© Biomedical image\n‘Segmentation\n© Wavelet Transform\nApplications\n© Data Hiding and\nSteganography (Multimedia\nWatermarking)\n© Mobile Computing (mobile\nsecurity)\n© Soft Computing (Swarm\nBehavior, Software Agent)\n© Security Services Sn: Digital\n\nKeywords: agent, artificial, bachelor, biomedical, cognitive, computing, master, mobile, pad, phd, security, university"}
+{"kb_id": "RAGKB-0031", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00031", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 6", "pages": [11], "chunk_index": 6, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aspects", "biometric", "biometrics", "digital", "disaster", "diseases", "forensic", "health", "imported", "including", "medicine", "security"], "retrieval_tags": [], "source_text": "Forensic, Steganography,\nNetwork’ Security, Public Key\nInfrastructure and Biometrics\n(Digital Watermarking)\n‘* National Security Sn: including\nHealth Aspects Such as\nMedicine and Medical Supply,\nDisaster Preparedness and\nImported Diseases (Tele-\nMedicine)\n© Biometrics Security System\n(mobile biometric systems)", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 6\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\nForensic, Steganography,\nNetwork’ Security, Public Key\nInfrastructure and Biometrics\n(Digital Watermarking)\n‘* National Security Sn: including\nHealth Aspects Such as\nMedicine and Medical Supply,\nDisaster Preparedness and\nImported Diseases (Tele-\nMedicine)\n© Biometrics Security System\n(mobile biometric systems)\n\nKeywords: aspects, biometric, biometrics, digital, disaster, diseases, forensic, health, imported, including, medicine, security"}
+{"kb_id": "RAGKB-0032", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00032", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 7", "pages": [12], "chunk_index": 7, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "animals", "artificial", "bachelor", "damascus", "intelligence", "mapping", "master", "national", "phd", "processing", "university"], "retrieval_tags": [], "source_text": "73.\nDr. Zati Hakim Azizul\nHasan\n(0813)\nr\nPAD (2074)\nPhD in Artificial nteligenoe\nand Roboties, Auckland\nUniversity of Technology, New\nZealand\nMaster (2007)\nMaster of Computer Science\n(Artificial Intelligence),\nUniversiti Malaya,\nBachelor (2004)\nBachelor of Computer Science\n(Artificial Intelligence),\nUniversiti Malaya,\nRobotics (mobile robots,\nlocalization and mapping)\n‘* Cognitive Mapping _ (spatial\ncognition in humans and\nanimals)\n© Biomedical simulation &\nmodelling\nBiometrics (Speech processing,\n‘spectral analysis)\nDr Mohamed NW.\nLubani\n(0s11)\nda\nPHD (Computer Science) The\n‘National University of Malaysia\n(UKM)\nMaster of Computer Science\nUniversity Malaya (UM)\nBachelor of Information\nTechnology\nDamascus University,\nDamascus, Syria\n‘© Arificial inteligence\n‘Machine Learning for Natural\nLanguage Processing\n3}\nDr_Uzair Tehtiag\n(0813)\nPhD (Computer Science)\nUniversiti Malaya\nMaster of Science (Computer\nScience), (Computer Science)\nNational University of\n���Computer and Emerging\nSciences\nBS in Information\nTechnology, (Information\nTechnology) Bahauddin\nZakariya University", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 7\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\n73.\nDr. Zati Hakim Azizul\nHasan\n(0813)\nr\nPAD (2074)\nPhD in Artificial nteligenoe\nand Roboties, Auckland\nUniversity of Technology, New\nZealand\nMaster (2007)\nMaster of Computer Science\n(Artificial Intelligence),\nUniversiti Malaya,\nBachelor (2004)\nBachelor of Computer Science\n(Artificial Intelligence),\nUniversiti Malaya,\nRobotics (mobile robots,\nlocalization and mapping)\n‘* Cognitive Mapping _ (spatial\ncognition in humans and\nanimals)\n© Biomedical simulation &\nmodelling\nBiometrics (Speech processing,\n‘spectral analysis)\nDr Mohamed NW.\nLubani\n(0s11)\nda\nPHD (Computer Science) The\n‘National University of Malaysia\n(UKM)\nMaster of Computer Science\nUniversity Malaya (UM)\nBachelor of Information\nTechnology\nDamascus University,\nDamascus, Syria\n‘© Arificial inteligence\n‘Machine Learning for Natural\nLanguage Processing\n3}\nDr_Uzair Tehtiag\n(0813)\nPhD (Computer Science)\nUniversiti Malaya\nMaster of Science (Computer\nScience), (Computer Science)\nNational University of\n‘Computer and Emerging\nSciences\nBS in Information\nTechnology, (Information\nTechnology) Bahauddin\nZakariya University\n\nKeywords: analysis, animals, artificial, bachelor, damascus, intelligence, mapping, master, national, phd, processing, university"}
+{"kb_id": "RAGKB-0033", "knowledge_group_id": "KG-0002", "source_chunk_id": "SC-00033", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Artificial Intelligence", "title": "Faculty Staff - Department of Artificial Intelligence - chunk 8", "pages": [12], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0014", "UMI-0193", "UMI-0194"], "group_canonical_questions": ["Who leads the Department of Artificial Intelligence and which staff are listed there?", "Who is listed as the head of the Department of Artificial Intelligence?", "Which areas of specialization are represented in the Department of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["arificial", "bachelor", "intelligence/computer", "languages", "leaming", "machine", "malaysia", "malik", "modern", "national", "university", "vision"], "retrieval_tags": [], "source_text": "‘* Machine Leaming\noc\nDr_ Zainab Malik\n(0813)\nPAD (Arificial\nIntelligence/Computer Vision),\nUniversiti Teknologi Malaysia\n(UTM)\nM. Phill (Computer Science),\n(Quad-i-Azam University\nBachelor of Science in\n‘Computer Science, National\nUniversity of Modern\nLanguages\n‘© Arificial nteligence\n‘¢ Computer Vision", "retrieval_text": "Title: Faculty Staff - Department of Artificial Intelligence - chunk 8\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Artificial Intelligence\n\nCanonical questions:\n- Who leads the Department of Artificial Intelligence and which staff are listed there?\n- Who is listed as the head of the Department of Artificial Intelligence?\n- Which areas of specialization are represented in the Department of Artificial Intelligence?\n\nSource chunk text:\n‘* Machine Leaming\noc\nDr_ Zainab Malik\n(0813)\nPAD (Arificial\nIntelligence/Computer Vision),\nUniversiti Teknologi Malaysia\n(UTM)\nM. Phill (Computer Science),\n(Quad-i-Azam University\nBachelor of Science in\n‘Computer Science, National\nUniversity of Modern\nLanguages\n‘© Arificial nteligence\n‘¢ Computer Vision\n\nKeywords: arificial, bachelor, intelligence/computer, languages, leaming, machine, malaysia, malik, modern, national, university, vision"}
+{"kb_id": "RAGKB-0034", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00034", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 1", "pages": [13], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Can you tell me who leads the Department of Software Engineering and which staff are listed there?", "Quick one: who leads the Department of Software Engineering and which staff are listed there?", "Can you tell me who is listed as the head of the Department of Software Engineering?"], "matched_qa_ids": ["qa_000015", "qa_000195", "qa_000424", "qa_000425", "qa_000713"], "grounded_answer_bank": ["The Department of Software Engineering is headed by Dr. Asmiza Abdul Sani. The staff pages list department members together with their academic qualifications and areas of specialization.", "Dr. Asmiza Abdul Sani is listed as the head of the Department of Software Engineering."], "retrieval_keywords": ["Software Engineering", "abdul", "bachelor", "department of software engineering", "head of department", "healthcare", "hons", "master", "performance", "prof", "software", "staff", "university", "usability", "vk7", "web"], "retrieval_tags": ["department_of_software_engineering", "faculty_staff", "general"], "source_text": "EPARTMENT OF\nHead of Department:\nDr. Asmiza Abdul Sani\nr\nsmiza Abdul Sant\n(813)\nB’\nUnwerey Yor,\nMaster (2007)\nUniversity of York, UK\nBachelor (2008)\nBachelor of Computer Science\n(Hons) (Software\nEngineering), Universit\n‘ormal methods,\nMalaya,\n,_| Prof. Dr. Chew Thiam | PD (2009) ‘Web Performance Analysis and\nKian University of Glasgow, Management (Web Performance)\n(vK7) ‘Scotland\n‘© Usability of Web-Based Systems\nMaster (2000) (Web Usability)\nMaster of Computer Science,\nUniversiti Malaya, + Software Architecture\n(interoperability)\nBachelor (1998)\nBachelor of Computer ‘* Personalised and —Community-\n‘Science, Universiti Malaya, Based Healthcare (ICT,\nHealthcare, Interdisciplinary)\nProf Dr. StiHafizah | PhD (2073) '® Software Verification, Validation &\n‘Ab. Hamid Universiti Malaya, Testing (Test Cases, Formal\n(vK7) Specification)\nMaster (2002)\nb\nMaster of Science (Computer\n‘System Design), Manchester\nUniversity Institute of Science\nand Technology.\nBachelor (2000)\nBachelor of Science (Hons)\n(Computer Science), Universiti\nTeknologi Malaysia, Skudai\n‘* Logics and Meanings of Programs", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nQuestion variants:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Can you tell me who leads the Department of Software Engineering and which staff are listed there?\n- Quick one: who leads the Department of Software Engineering and which staff are listed there?\n- Can you tell me who is listed as the head of the Department of Software Engineering?\n\nGrounded answer bank:\n- The Department of Software Engineering is headed by Dr. Asmiza Abdul Sani. The staff pages list department members together with their academic qualifications and areas of specialization.\n- Dr. Asmiza Abdul Sani is listed as the head of the Department of Software Engineering.\n\nSource chunk text:\nEPARTMENT OF\nHead of Department:\nDr. Asmiza Abdul Sani\nr\nsmiza Abdul Sant\n(813)\nB’\nUnwerey Yor,\nMaster (2007)\nUniversity of York, UK\nBachelor (2008)\nBachelor of Computer Science\n(Hons) (Software\nEngineering), Universit\n‘ormal methods,\nMalaya,\n,_| Prof. Dr. Chew Thiam | PD (2009) ‘Web Performance Analysis and\nKian University of Glasgow, Management (Web Performance)\n(vK7) ‘Scotland\n‘© Usability of Web-Based Systems\nMaster (2000) (Web Usability)\nMaster of Computer Science,\nUniversiti Malaya, + Software Architecture\n(interoperability)\nBachelor (1998)\nBachelor of Computer ‘* Personalised and —Community-\n‘Science, Universiti Malaya, Based Healthcare (ICT,\nHealthcare, Interdisciplinary)\nProf Dr. StiHafizah | PhD (2073) '® Software Verification, Validation &\n‘Ab. Hamid Universiti Malaya, Testing (Test Cases, Formal\n(vK7) Specification)\nMaster (2002)\nb\nMaster of Science (Computer\n‘System Design), Manchester\nUniversity Institute of Science\nand Technology.\nBachelor (2000)\nBachelor of Science (Hons)\n(Computer Science), Universiti\nTeknologi Malaysia, Skudai\n‘* Logics and Meanings of Programs\n\nKeywords: Software Engineering, abdul, bachelor, department of software engineering, head of department, healthcare, hons, master, performance, prof, software, staff, university, usability, vk7, web"}
+{"kb_id": "RAGKB-0035", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00035", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 2", "pages": [13], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["agents", "bachelor", "based", "component", "formal", "malaysia", "master", "object-oriented", "recognition", "software", "speech", "universit"], "retrieval_tags": [], "source_text": "(Formal Methods)\n¢ Mathematical Logic and Formal\nLanguage (Object-Oriented\nLanguages (001))\n¢ Edutainment (Mobile Games, E-\nLeaming, ‘Object-Oriented\nProgramming)\n‘* Project Management (PRINCE2)\nTT Ass05 FOTO\nMumtaz Begum Peer\nMustafa\n(ostay\nBo\nPAD (2072)\nUniversiti Malaya,\nMaster (2008)\nMaster of Science, Universit!\nMalaya.\nBachelor (2002)\nBachelor of Science\n(Computer Science), Universit\nPutra Malaysia\nDiploma (1998)\nPusat Teknologi dan\nPengurusan Lanjutan (PTPL),\nMalaysia\n‘Component Based Software\nDevelopment (Component Based\nSoftware Engineering, Software\nReuse, Reusable Component)\n‘* Software Testing\n'* Speech Recognition\n‘# Speech Synthesis\n‘* Pattern Recognition\n© Software Agents:\n‘* Human Computer Interaction", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\n(Formal Methods)\n¢ Mathematical Logic and Formal\nLanguage (Object-Oriented\nLanguages (001))\n¢ Edutainment (Mobile Games, E-\nLeaming, ‘Object-Oriented\nProgramming)\n‘* Project Management (PRINCE2)\nTT Ass05 FOTO\nMumtaz Begum Peer\nMustafa\n(ostay\nBo\nPAD (2072)\nUniversiti Malaya,\nMaster (2008)\nMaster of Science, Universit!\nMalaya.\nBachelor (2002)\nBachelor of Science\n(Computer Science), Universit\nPutra Malaysia\nDiploma (1998)\nPusat Teknologi dan\nPengurusan Lanjutan (PTPL),\nMalaysia\n‘Component Based Software\nDevelopment (Component Based\nSoftware Engineering, Software\nReuse, Reusable Component)\n‘* Software Testing\n'* Speech Recognition\n‘# Speech Synthesis\n‘* Pattern Recognition\n© Software Agents:\n‘* Human Computer Interaction\n\nKeywords: agents, bachelor, based, component, formal, malaysia, master, object-oriented, recognition, software, speech, universit"}
+{"kb_id": "RAGKB-0036", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00036", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 3", "pages": [14], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "bachelor", "data", "decision", "design", "human", "interaction", "master", "raja", "software", "systems", "university"], "retrieval_tags": [], "source_text": "“Assoc Prof Dr. Raja\nJamilah Raja Yusof\n(0814)\nPnD (2012)\nUniversiti Malaya.\nMaster (2000)\nMaster of Computer Sciense,\nUniversiti Nataya\n‘Human Computer Interaction\n(Interface “Design, _ Information\nVisualization, Hierarchical Task\nAnalysis Mode!)\n© E-Cultture (Muslim information\nSystem, _Techno-Daie, Islam,\nBachelor (1997)\neal eneena Science and Technology)\nImperial College ‘© Cognitive Psychology\nScience, Technology and\nscience (Reading Comprehension)\n« Information Processing\n(Arabic Stemming)\n‘Information, Computer and\n‘Communication Technology (ICT),\nSoftware Engineering\nDr. Adelen Asem PRD of Computer Science ‘ Human Computer Interaction\nZavareh\n(0813)\non\n(Artificial Intelligence),\nUniversiti Malaya (2014)\nMaster of Computer Science,\nUniversity of Pune, India\n(2008)\nBachelor of Computer\nScience, University of Ashrafi\nIsfahani, Isfahan, tran (2008)\n‘© Evaluation of Software and\n‘Systems\n‘¢ Neuro Fuzzy Inference Systems\n‘* Multi Criteria Decision Analysis\n‘© Software Design\n© Data Analysis\nBig Data\n‘* Decision Support Systems\n‘« Knowledge Based Systems\n© E-Commerce", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 3\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\n“Assoc Prof Dr. Raja\nJamilah Raja Yusof\n(0814)\nPnD (2012)\nUniversiti Malaya.\nMaster (2000)\nMaster of Computer Sciense,\nUniversiti Nataya\n‘Human Computer Interaction\n(Interface “Design, _ Information\nVisualization, Hierarchical Task\nAnalysis Mode!)\n© E-Cultture (Muslim information\nSystem, _Techno-Daie, Islam,\nBachelor (1997)\neal eneena Science and Technology)\nImperial College ‘© Cognitive Psychology\nScience, Technology and\nscience (Reading Comprehension)\n« Information Processing\n(Arabic Stemming)\n‘Information, Computer and\n‘Communication Technology (ICT),\nSoftware Engineering\nDr. Adelen Asem PRD of Computer Science ‘ Human Computer Interaction\nZavareh\n(0813)\non\n(Artificial Intelligence),\nUniversiti Malaya (2014)\nMaster of Computer Science,\nUniversity of Pune, India\n(2008)\nBachelor of Computer\nScience, University of Ashrafi\nIsfahani, Isfahan, tran (2008)\n‘© Evaluation of Software and\n‘Systems\n‘¢ Neuro Fuzzy Inference Systems\n‘* Multi Criteria Decision Analysis\n‘© Software Design\n© Data Analysis\nBig Data\n‘* Decision Support Systems\n‘« Knowledge Based Systems\n© E-Commerce\n\nKeywords: analysis, bachelor, data, decision, design, human, interaction, master, raja, software, systems, university"}
+{"kb_id": "RAGKB-0037", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00037", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 4", "pages": [14], "chunk_index": 4, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["adult", "autistic", "bachelor", "child", "coding", "colchester", "data", "design", "encryption", "engineering", "master", "university"], "retrieval_tags": [], "source_text": "Dr_Nazean Jomhant\n(0813)\nti\nPhD (2010)\nManchester University, United\nKingdom\nMaster (2001)\nMaster of Science, University\nof Essex, Colchester, UK\nBachelor (2000)\nBachelor of Science (Hons)\n(Information Science),\nUniversiti Kebangsaan\nMalaysia.\n‘ Inferface Design (Order Adult,\nChild, Autistic and Computer)\nDr_Ong Sim Ying\n(0813)\ni\nPRD (2075),\nUniversiti Malaya\nBachelor (2007)\nBachelor of Computer Science\n(Software Engineering)\nUniversiti Malaya\n‘Image, Signal and Video Coding\n‘and Processing\n« Information Security (Data Hiding\n‘and Encryption)\n‘¢ Linear Programming", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 4\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\nDr_Nazean Jomhant\n(0813)\nti\nPhD (2010)\nManchester University, United\nKingdom\nMaster (2001)\nMaster of Science, University\nof Essex, Colchester, UK\nBachelor (2000)\nBachelor of Science (Hons)\n(Information Science),\nUniversiti Kebangsaan\nMalaysia.\n‘ Inferface Design (Order Adult,\nChild, Autistic and Computer)\nDr_Ong Sim Ying\n(0813)\ni\nPRD (2075),\nUniversiti Malaya\nBachelor (2007)\nBachelor of Computer Science\n(Software Engineering)\nUniversiti Malaya\n‘Image, Signal and Video Coding\n‘and Processing\n« Information Security (Data Hiding\n‘and Encryption)\n‘¢ Linear Programming\n\nKeywords: adult, autistic, bachelor, child, coding, colchester, data, design, encryption, engineering, master, university"}
+{"kb_id": "RAGKB-0038", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00038", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 5", "pages": [15], "chunk_index": 5, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["architecture", "bachelor", "counseling", "development", "engineering", "malaysia", "management", "master", "pad", "putra", "software", "web"], "retrieval_tags": [], "source_text": "Dr Su Moon Ting ‘PAD (2016) ‘Service-Oriented Architecture)\n(0813) University of Auckland, New\nZealand ‘© Education (E-Learning)\nMaster (1999) © Computer Aided Software\nMaster of Science (Computer | Architecture (Software\npes\nScience), Universiti Putra\nMalaysia,\nBachelor (1996)\nBachelor of Computer Science\n(Hons), Universiti Putra\nMalaysia,\n‘Architecture Documentation,\n‘Architectural Knowledge)\nWeb Services (Software\nEngineering (Case) Tools\n(Syntax-Directed Programming\nEditor)\nVirtual Reality (Vrml, Vr for\nInternet)\nWeb services composition\n# End-user development!\nprogramming\n70__| Or Hema PAD (2076) * Software _Maintainabilty (Aspect\nSubramaniam PhD (Software Engineering), | Oriented Software Engineering)\n(013) Universiti Putra Malaysia\n(UPM) Counseling System (Counseling\nApplication)\nMaster (2010)\nMaster of Computer Science _| # Project Management (Tools Based\n(Software Engineering), Project Management)\nUnivers Industn Selangor\n(UNISEL) * Software Toots (Web\nDevelopment)\nBachelor (2007)\nBSc (Information Technology),\nUniversit Industri Selangor\n(UNISEL)", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 5\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\nDr Su Moon Ting ‘PAD (2016) ‘Service-Oriented Architecture)\n(0813) University of Auckland, New\nZealand ‘© Education (E-Learning)\nMaster (1999) © Computer Aided Software\nMaster of Science (Computer | Architecture (Software\npes\nScience), Universiti Putra\nMalaysia,\nBachelor (1996)\nBachelor of Computer Science\n(Hons), Universiti Putra\nMalaysia,\n‘Architecture Documentation,\n‘Architectural Knowledge)\nWeb Services (Software\nEngineering (Case) Tools\n(Syntax-Directed Programming\nEditor)\nVirtual Reality (Vrml, Vr for\nInternet)\nWeb services composition\n# End-user development!\nprogramming\n70__| Or Hema PAD (2076) * Software _Maintainabilty (Aspect\nSubramaniam PhD (Software Engineering), | Oriented Software Engineering)\n(013) Universiti Putra Malaysia\n(UPM) Counseling System (Counseling\nApplication)\nMaster (2010)\nMaster of Computer Science _| # Project Management (Tools Based\n(Software Engineering), Project Management)\nUnivers Industn Selangor\n(UNISEL) * Software Toots (Web\nDevelopment)\nBachelor (2007)\nBSc (Information Technology),\nUniversit Industri Selangor\n(UNISEL)\n\nKeywords: architecture, bachelor, counseling, development, engineering, malaysia, management, master, pad, putra, software, web"}
+{"kb_id": "RAGKB-0039", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00039", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 6", "pages": [15], "chunk_index": 6, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": ["Which areas of specialization are represented in the Department of Software Engineering?", "Could you tell me which areas of specialization are represented in the Department of Software Engineering?", "Just asking, which areas of specialization are represented in the Department of Software Engineering?"], "matched_qa_ids": ["qa_000196", "qa_000714", "qa_000715"], "grounded_answer_bank": ["The Department of Software Engineering staff pages list areas such as formal methods, software engineering, web performance analysis, interactive media, human-computer interaction, software process modelling, software quality, requirements engineering, risk management, e-commerce, big data, and related software design topics."], "retrieval_keywords": ["Software Engineering", "areas of specialization", "artificial", "australia", "bachelor", "cham", "college", "dootor", "engineering", "malaysia", "master", "philosophy", "software", "university"], "retrieval_tags": ["department_of_software_engineering", "faculty_staff", "general"], "source_text": "77_[ Or Cham Yinka | PRO 20TH) ‘= Software Process Modeling\n(0813) Dootor of Philosophy in\n‘Computer Science & © Software Quality,\nEngineering, The University of\nNew SouthWales, Australia |» Requirements Engineering\nMaster (2005) © Software Testing\nMaster of Science in\nInformation Technology, Risk Management\nMalaysia University of Science\nand Technology, Malaysia.\nBachelor (2003)\nBachelor of Computer Science\n(Software Engineering),\nUniversiti Malaya\n72 [Dr Mohamad Hazim | Dootor of Philosophy (PRD) | « Computer and information security\nImperial College London,\nUnited Kingdom\nMaster of Computer Science\n(Research) University of\nMalaya\nBachelor of Computer Science\n(Computer System and\nNetworking) University of\nMalaya\n« Artificial inteligence and machine\nlearning\n© Data sciences", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 6\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nQuestion variants:\n- Which areas of specialization are represented in the Department of Software Engineering?\n- Could you tell me which areas of specialization are represented in the Department of Software Engineering?\n- Just asking, which areas of specialization are represented in the Department of Software Engineering?\n\nGrounded answer bank:\n- The Department of Software Engineering staff pages list areas such as formal methods, software engineering, web performance analysis, interactive media, human-computer interaction, software process modelling, software quality, requirements engineering, risk management, e-commerce, big data, and related software design topics.\n\nSource chunk text:\n77_[ Or Cham Yinka | PRO 20TH) ‘= Software Process Modeling\n(0813) Dootor of Philosophy in\n‘Computer Science & © Software Quality,\nEngineering, The University of\nNew SouthWales, Australia |» Requirements Engineering\nMaster (2005) © Software Testing\nMaster of Science in\nInformation Technology, Risk Management\nMalaysia University of Science\nand Technology, Malaysia.\nBachelor (2003)\nBachelor of Computer Science\n(Software Engineering),\nUniversiti Malaya\n72 [Dr Mohamad Hazim | Dootor of Philosophy (PRD) | « Computer and information security\nImperial College London,\nUnited Kingdom\nMaster of Computer Science\n(Research) University of\nMalaya\nBachelor of Computer Science\n(Computer System and\nNetworking) University of\nMalaya\n« Artificial inteligence and machine\nlearning\n© Data sciences\n\nKeywords: Software Engineering, areas of specialization, artificial, australia, bachelor, cham, college, dootor, engineering, malaysia, master, philosophy, software, university"}
+{"kb_id": "RAGKB-0040", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00040", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 7", "pages": [16], "chunk_index": 7, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accessable", "engineering", "health", "human", "kejuruteraan", "learning", "machine", "network", "nursing", "social", "software", "university"], "retrieval_tags": [], "source_text": "3.\nDr. Nur Nasuha Mohd\nPAD\nUniversiti Malaya\nBachelor of Computer Science\n(Software Engineering), Pass\n‘with Honours (with Distinction),\n(Kejuruteraan Perisian)\nUniversiti Malaya (UM)\neEficient Resource Management\n(cloud)\n‘Large Scale Processing\nSocial Network Analysis,\nPrediction)\n(link\n14] Dr_Uzalr rebar Degree of Doctor of + Non: Communicable Diseases\n(0813) Philosophy, (Data Mining) ‘Nursing (Including Diabetes,\nUniversiti Malaya (UM) Rheumatology Nursing) Medical\nand Health Sciences, Nursing,\nMaster of Science in Software | Nursing Practices\nEngineering, (Kejuruteraan\nPefisian) University of ‘+ Neural Network for Machine\nEngineering and Technology | ° Learning\nTanda ‘Applied Science and Technology,\nInformation and Communication\nBSC (Software Engineering), | Technology (ict), Artificial\n(Kejuruteraan Persian) Inteligence and Machine Learning\nUniversity of Engineering and\nTechnology Taxila ‘* Quality and Accessable Health\nSystem\nHuman and Societal Resilency,\nBasic Human and Social Needs\n15] Or Sit Noriana Jamal [PRO in Human Computer * Software Engineering\n(0813)", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 7\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\n3.\nDr. Nur Nasuha Mohd\nPAD\nUniversiti Malaya\nBachelor of Computer Science\n(Software Engineering), Pass\n‘with Honours (with Distinction),\n(Kejuruteraan Perisian)\nUniversiti Malaya (UM)\neEficient Resource Management\n(cloud)\n‘Large Scale Processing\nSocial Network Analysis,\nPrediction)\n(link\n14] Dr_Uzalr rebar Degree of Doctor of + Non: Communicable Diseases\n(0813) Philosophy, (Data Mining) ‘Nursing (Including Diabetes,\nUniversiti Malaya (UM) Rheumatology Nursing) Medical\nand Health Sciences, Nursing,\nMaster of Science in Software | Nursing Practices\nEngineering, (Kejuruteraan\nPefisian) University of ‘+ Neural Network for Machine\nEngineering and Technology | ° Learning\nTanda ‘Applied Science and Technology,\nInformation and Communication\nBSC (Software Engineering), | Technology (ict), Artificial\n(Kejuruteraan Persian) Inteligence and Machine Learning\nUniversity of Engineering and\nTechnology Taxila ‘* Quality and Accessable Health\nSystem\nHuman and Societal Resilency,\nBasic Human and Social Needs\n15] Or Sit Noriana Jamal [PRO in Human Computer * Software Engineering\n(0813)\n\nKeywords: accessable, engineering, health, human, kejuruteraan, learning, machine, network, nursing, social, software, university"}
+{"kb_id": "RAGKB-0041", "knowledge_group_id": "KG-0004", "source_chunk_id": "SC-00041", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Software Engineering", "title": "Faculty Staff - Department of Software Engineering - chunk 8", "pages": [16], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 8, "linked_index_ids": ["UMI-0015", "UMI-0195", "UMI-0196"], "group_canonical_questions": ["Who leads the Department of Software Engineering and which staff are listed there?", "Who is listed as the head of the Department of Software Engineering?", "Which areas of specialization are represented in the Department of Software Engineering?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "application", "artificial", "bachelor", "computing", "design", "engineering", "interaction", "malaysia", "putra", "software", "upm"], "retrieval_tags": [], "source_text": "Interaction & Software\nEngineering, Universiti Putra\nMalaysia (UPM)\nMaster of Computer Science\n(Software Engineering),\nUniversiti Putra Malaysia\n(UPM)\nBachelor of Computer Science\n(Hons), Management Science\nUniversity\nSoftware\nEngineering\nRequirement\n¢ Human-Computer interaction\n‘Interaction Design\neUlUx\n‘¢ System Analysis & Design\n*Qbject Oriented Software\nEngineering\n‘© Multimedia Computing\n‘¢ Mobile Application Development\n*E-commerce\n© Artificial intelligence", "retrieval_text": "Title: Faculty Staff - Department of Software Engineering - chunk 8\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Software Engineering\n\nCanonical questions:\n- Who leads the Department of Software Engineering and which staff are listed there?\n- Who is listed as the head of the Department of Software Engineering?\n- Which areas of specialization are represented in the Department of Software Engineering?\n\nSource chunk text:\nInteraction & Software\nEngineering, Universiti Putra\nMalaysia (UPM)\nMaster of Computer Science\n(Software Engineering),\nUniversiti Putra Malaysia\n(UPM)\nBachelor of Computer Science\n(Hons), Management Science\nUniversity\nSoftware\nEngineering\nRequirement\n¢ Human-Computer interaction\n‘Interaction Design\neUlUx\n‘¢ System Analysis & Design\n*Qbject Oriented Software\nEngineering\n‘© Multimedia Computing\n‘¢ Mobile Application Development\n*E-commerce\n© Artificial intelligence\n\nKeywords: analysis, application, artificial, bachelor, computing, design, engineering, interaction, malaysia, putra, software, upm"}
+{"kb_id": "RAGKB-0042", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00042", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 1", "pages": [17], "chunk_index": 1, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?", "Can you tell me who leads the Department of Information Systems and which staff are listed there?", "BTW, who leads the Department of Information Systems and which staff are listed there?", "Can you tell me who is listed as the head of the Department of Information Systems?", "Could you tell me which areas of specialization are represented in the Department of Information Systems?", "Quick one: which areas of specialization are represented in the Department of Information Systems?"], "matched_qa_ids": ["qa_000016", "qa_000197", "qa_000198", "qa_000426", "qa_000427", "qa_000716", "qa_000717", "qa_000718"], "grounded_answer_bank": ["The Department of Information Systems is headed by Dr. Hoo Wai Lam. The staff pages list department members together with their academic qualifications and areas of specialization.", "Dr. Hoo Wai Lam is listed as the head of the Department of Information Systems.", "The Department of Information Systems staff pages list areas such as data analytics, machine learning, computer vision, data mining, databases, recommender systems, information retrieval, web applications and services, management information systems, e-commerce, cloud computing, and data security."], "retrieval_keywords": ["Information Systems", "areas of specialization", "bachelor", "city", "data", "department", "department of information systems", "head of department", "hons", "hoo", "lam", "malaysia", "master", "media", "staff", "system", "university"], "retrieval_tags": ["department_of_information_systems", "faculty_staff", "general"], "source_text": "DEPARTMENT OF INFORMATION SYSTEMS\nHead of Department:\nDr. Hoo Wai Lam\n‘Dr. Hoo Wai Lam\n(0813)\nri\nPRD (2075),\nUniversiti Malaya (UM)\nBachelor (2010)\nBachelor of Computer Science\n(Hons) (2010),\nUniversiti Malaya (UM)\nata Analytics\n© Machine Leaming\n© Computer Vision\n« Attficial Intelligence\nZ| Prof Dr The ving | PHD (2004) = Data Mining\nWah Universiti Malaya\n(v&7) # Database\nMaster (1995)\nMaster of Computer Science,\n‘Oklahoma City University,\nUSA\nBachelor (1994)\nBachelor of Computer\n‘Science, Okiahoma City\nUniversity, USA\n&_| Prof Or Nor Liyana | PRD (2073) * Management Information System\nMohd Shuib University Malaya (Decision Support System, Expert\n(vk?) System)\nMaster (2008)\nMaster of Information '* Information Management\nTechnol (Ostabase, Data Mining,\nUniversiti Kebangsaan information Retrieval\ny Malaysia (UKM) Recommender System, Social\nMedia)\nBachelor (2005)\nBachelor of Science ‘© Mobile Computing\n(Computer)(Hons), Universiti\n‘Teknolog Malaysia, Skudai | Educational Technology _ and\nMedia (E-learning, Learning Style,\nPersonalization, Information\nSeeking, Social Media)", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nQuestion variants:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n- Can you tell me who leads the Department of Information Systems and which staff are listed there?\n- BTW, who leads the Department of Information Systems and which staff are listed there?\n- Can you tell me who is listed as the head of the Department of Information Systems?\n- Could you tell me which areas of specialization are represented in the Department of Information Systems?\n- Quick one: which areas of specialization are represented in the Department of Information Systems?\n\nGrounded answer bank:\n- The Department of Information Systems is headed by Dr. Hoo Wai Lam. The staff pages list department members together with their academic qualifications and areas of specialization.\n- Dr. Hoo Wai Lam is listed as the head of the Department of Information Systems.\n- The Department of Information Systems staff pages list areas such as data analytics, machine learning, computer vision, data mining, databases, recommender systems, information retrieval, web applications and services, management information systems, e-commerce, cloud computing, and data security.\n\nSource chunk text:\nDEPARTMENT OF INFORMATION SYSTEMS\nHead of Department:\nDr. Hoo Wai Lam\n‘Dr. Hoo Wai Lam\n(0813)\nri\nPRD (2075),\nUniversiti Malaya (UM)\nBachelor (2010)\nBachelor of Computer Science\n(Hons) (2010),\nUniversiti Malaya (UM)\nata Analytics\n© Machine Leaming\n© Computer Vision\n« Attficial Intelligence\nZ| Prof Dr The ving | PHD (2004) = Data Mining\nWah Universiti Malaya\n(v&7) # Database\nMaster (1995)\nMaster of Computer Science,\n‘Oklahoma City University,\nUSA\nBachelor (1994)\nBachelor of Computer\n‘Science, Okiahoma City\nUniversity, USA\n&_| Prof Or Nor Liyana | PRD (2073) * Management Information System\nMohd Shuib University Malaya (Decision Support System, Expert\n(vk?) System)\nMaster (2008)\nMaster of Information '* Information Management\nTechnol (Ostabase, Data Mining,\nUniversiti Kebangsaan information Retrieval\ny Malaysia (UKM) Recommender System, Social\nMedia)\nBachelor (2005)\nBachelor of Science ‘© Mobile Computing\n(Computer)(Hons), Universiti\n‘Teknolog Malaysia, Skudai | Educational Technology _ and\nMedia (E-learning, Learning Style,\nPersonalization, Information\nSeeking, Social Media)\n\nKeywords: Information Systems, areas of specialization, bachelor, city, data, department, department of information systems, head of department, hons, hoo, lam, malaysia, master, media, staff, system, university"}
+{"kb_id": "RAGKB-0043", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00043", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 2", "pages": [17], "chunk_index": 2, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["bachelor", "balakrishnan", "data", "engineering", "hons", "knowledge", "malaysia", "master", "media", "mining", "multimedia", "sains"], "retrieval_tags": [], "source_text": "4__| Prof. Ts. Dr vimala\nBalakrishnan\n(v7)\nPHD (2008)\nUniversiti Multimedia Malaysia\nMaster (2002)\nMaster of Science (Computer\nScience), Universiti Sains\nMalaysia\nBachelor (1998)\nBachelor of Computer Science\n(Hons), Universiti Sains\nMalaysia\n‘* Data and Knowledge Engineering\n(Data Mining, Opinion Mining),\n* Information Retrieval\nSocial Media\n‘* Recommender Systems", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\n4__| Prof. Ts. Dr vimala\nBalakrishnan\n(v7)\nPHD (2008)\nUniversiti Multimedia Malaysia\nMaster (2002)\nMaster of Science (Computer\nScience), Universiti Sains\nMalaysia\nBachelor (1998)\nBachelor of Computer Science\n(Hons), Universiti Sains\nMalaysia\n‘* Data and Knowledge Engineering\n(Data Mining, Opinion Mining),\n* Information Retrieval\nSocial Media\n‘* Recommender Systems\n\nKeywords: bachelor, balakrishnan, data, engineering, hons, knowledge, malaysia, master, media, mining, multimedia, sains"}
+{"kb_id": "RAGKB-0044", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00044", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 3", "pages": [18], "chunk_index": 3, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assoc", "bachelor", "commerce", "evaluation", "hons", "kebangsaan", "malaysia", "management", "master", "melbourne", "prof", "universit"], "retrieval_tags": [], "source_text": "‘Assoc. Prof. Ts. Dr. St\nDevi Ravana\n(0814)\n——ee-——\nPhD (2012)\nUniversity of Melbourne,\nAustralia,\nMaster (2001)\nMaster of Software\nEngineering, Universit\nMalaya,\nBachelor (2000)\nBachelor of information\nTechnology (Hons.)\n(Information Science),\nUniversiti Kebangsaan\nMalaysia\n‘Search Engine (IR Evaluation (e.g\nevaluation metrics, aggregation\n‘methods, experiments)\n‘* Web Application and Services\n‘Assoc. Prof. Dr,\nMaizatul Akmar Ismail\n(0s14)\nPRD (2071)\nUniversiti Malaya,\nMaster (2002)\nMaster of Science, Universit\nPutra Malaysia\nBachelor (1999)\nBachelor of Information\nTechnology, Universiti Malaya\n‘ Management Information System,\nSemantic Web in Education,\nKnowledge Management, E-\nCommerce.\nAssoo. Prof Dr PRO OTS) sTafomnation Senses Te\"\n‘Sureya Hamid Gompuing ena formation |” Government, e-Leaning, &\n(ost) Systems, The Unwersiy of | commerce, oybersecurty\n2 Melbourne, Austral awareness and Is for\nwe Sustainability\nMaster (2002)\nMaster of Information\nTechnology, Universiti\nKebangsaan Malaysia,\nBachelor (1998)\nBachelor of Information\nTechnology (Hons. In\nIndustrial Computing),", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 3\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\n‘Assoc. Prof. Ts. Dr. St\nDevi Ravana\n(0814)\n——ee-——\nPhD (2012)\nUniversity of Melbourne,\nAustralia,\nMaster (2001)\nMaster of Software\nEngineering, Universit\nMalaya,\nBachelor (2000)\nBachelor of information\nTechnology (Hons.)\n(Information Science),\nUniversiti Kebangsaan\nMalaysia\n‘Search Engine (IR Evaluation (e.g\nevaluation metrics, aggregation\n‘methods, experiments)\n‘* Web Application and Services\n‘Assoc. Prof. Dr,\nMaizatul Akmar Ismail\n(0s14)\nPRD (2071)\nUniversiti Malaya,\nMaster (2002)\nMaster of Science, Universit\nPutra Malaysia\nBachelor (1999)\nBachelor of Information\nTechnology, Universiti Malaya\n‘ Management Information System,\nSemantic Web in Education,\nKnowledge Management, E-\nCommerce.\nAssoo. Prof Dr PRO OTS) sTafomnation Senses Te\"\n‘Sureya Hamid Gompuing ena formation |” Government, e-Leaning, &\n(ost) Systems, The Unwersiy of | commerce, oybersecurty\n2 Melbourne, Austral awareness and Is for\nwe Sustainability\nMaster (2002)\nMaster of Information\nTechnology, Universiti\nKebangsaan Malaysia,\nBachelor (1998)\nBachelor of Information\nTechnology (Hons. In\nIndustrial Computing),\n\nKeywords: assoc, bachelor, commerce, evaluation, hons, kebangsaan, malaysia, management, master, melbourne, prof, universit"}
+{"kb_id": "RAGKB-0045", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00045", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 4", "pages": [18], "chunk_index": 4, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["activity", "assoc", "bachelor", "behaviour", "big", "data", "dewi", "emergent", "hons", "kebangsaan", "malaysia", "master"], "retrieval_tags": [], "source_text": "Universiti Kebangsaan\nMalaysia\nICT and Emergent Information\nTechnology (Information Seeking,\nOnline Behaviour and Its Impact,\nActivity Theory, Qualitative\nResearch and Social Media)\n‘Assoc. Prof_ Dr\nKasturi Dewi Varathan\n(0814)\nPRD (2072)\nUniversiti Kebangsaan\nMalaysia.\nMaster (2005)\nMaster of Computer Science,\nUniversiti Malaya\nBachelor (2002)\nBachelor of Information\nTechnology (Hons), Universit\nTenaga Nasional\nBig Data\n« Information Retrieval\n‘© Data Storage and Representations.", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 4\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\nUniversiti Kebangsaan\nMalaysia\nICT and Emergent Information\nTechnology (Information Seeking,\nOnline Behaviour and Its Impact,\nActivity Theory, Qualitative\nResearch and Social Media)\n‘Assoc. Prof_ Dr\nKasturi Dewi Varathan\n(0814)\nPRD (2072)\nUniversiti Kebangsaan\nMalaysia.\nMaster (2005)\nMaster of Computer Science,\nUniversiti Malaya\nBachelor (2002)\nBachelor of Information\nTechnology (Hons), Universit\nTenaga Nasional\nBig Data\n« Information Retrieval\n‘© Data Storage and Representations.\n\nKeywords: activity, assoc, bachelor, behaviour, big, data, dewi, emergent, hons, kebangsaan, malaysia, master"}
+{"kb_id": "RAGKB-0046", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00046", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 5", "pages": [19], "chunk_index": 5, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ahmad", "bachelor", "database", "image", "mada", "magic", "malaysia", "management", "master", "security", "system", "university"], "retrieval_tags": [], "source_text": "‘Asoo. Prof. Dr. Azah_| PhD (2014) Management Information System\n‘Ani Norman Universiti Malay (Electronic Commerce Security,\n(0s14) Information Security Management,\nMaster (2004) Information Systems)\nMaster of Information Security,\nRoyal Holloway University of\nLondon, UK\nBachelor (2000)\nBachelor of Information\nTechnology, Universiti\nKebangsaan Malaysia\nPRO(UTHM)(2010), (Computer | * Symbolic and ‘Algebraic\nScience) Manipulation\nUniversiti Tun Hussein Onn\n(Uthm)\nM.So(Math)(University Gadjah\n‘© Orthogonal Latin Squares, Magic\n‘Squares, And Magic Cubes\nMada)(2006), (Mathematical _| « Disorete Mathematics,\nSciences)\nUniversiti Gadjan Mada, ‘* Rough Set and Soft Set Theories\nIndonesia\n‘* Decision Support System\nB.Ed(Ahmad Dahian\nUniversity)(2002), (Education) | # Data Mining, Kdd, Soft Computing\nUniversitas Ahmad Dahlan\nTH] Ass06. PROF Or PAD OTS = Database (Database Security &\n'Notihan Abdul Ghani | Universiti Teknotogi Malaysia. | Privacy)\n(osi4) Bachelor (2000)\n‘* Digital Image Processing System\nMaster (2002) (Image Retrieval)\n{ Master of information\n{ Technology (The Science),", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 5\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\n‘Asoo. Prof. Dr. Azah_| PhD (2014) Management Information System\n‘Ani Norman Universiti Malay (Electronic Commerce Security,\n(0s14) Information Security Management,\nMaster (2004) Information Systems)\nMaster of Information Security,\nRoyal Holloway University of\nLondon, UK\nBachelor (2000)\nBachelor of Information\nTechnology, Universiti\nKebangsaan Malaysia\nPRO(UTHM)(2010), (Computer | * Symbolic and ‘Algebraic\nScience) Manipulation\nUniversiti Tun Hussein Onn\n(Uthm)\nM.So(Math)(University Gadjah\n‘© Orthogonal Latin Squares, Magic\n‘Squares, And Magic Cubes\nMada)(2006), (Mathematical _| « Disorete Mathematics,\nSciences)\nUniversiti Gadjan Mada, ‘* Rough Set and Soft Set Theories\nIndonesia\n‘* Decision Support System\nB.Ed(Ahmad Dahian\nUniversity)(2002), (Education) | # Data Mining, Kdd, Soft Computing\nUniversitas Ahmad Dahlan\nTH] Ass06. PROF Or PAD OTS = Database (Database Security &\n'Notihan Abdul Ghani | Universiti Teknotogi Malaysia. | Privacy)\n(osi4) Bachelor (2000)\n‘* Digital Image Processing System\nMaster (2002) (Image Retrieval)\n{ Master of information\n{ Technology (The Science),\n\nKeywords: ahmad, bachelor, database, image, mada, magic, malaysia, management, master, security, system, university"}
+{"kb_id": "RAGKB-0047", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00047", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 6", "pages": [19], "chunk_index": 6, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["apamed", "ariyaluran", "bachelor", "cloud", "computing", "data", "eng", "engineering", "generative", "habeeb", "malaysia", "security"], "retrieval_tags": [], "source_text": "e Universit: Kebangsaan Data Security (Information\nMalaysia ‘Security and Privacy)\nBachelor\nBachelor of information\nTechnology, Universiti Utara\nMalaysia.\nZ| Dr Riyaz Apamed | PAD (2079) ‘> Machine Learning\nAriyaluran Habeeb\nMohamed Master of Software Data Science\n(S13) Engineering (2013)\n* Generative Al\nB.Eng, (Computer Science\nand Engineering) (2008) ‘* Cloud Computing", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 6\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\ne Universit: Kebangsaan Data Security (Information\nMalaysia ‘Security and Privacy)\nBachelor\nBachelor of information\nTechnology, Universiti Utara\nMalaysia.\nZ| Dr Riyaz Apamed | PAD (2079) ‘> Machine Learning\nAriyaluran Habeeb\nMohamed Master of Software Data Science\n(S13) Engineering (2013)\n* Generative Al\nB.Eng, (Computer Science\nand Engineering) (2008) ‘* Cloud Computing\n\nKeywords: apamed, ariyaluran, bachelor, cloud, computing, data, eng, engineering, generative, habeeb, malaysia, security"}
+{"kb_id": "RAGKB-0048", "knowledge_group_id": "KG-0003", "source_chunk_id": "SC-00048", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Department of Information Systems", "title": "Faculty Staff - Department of Information Systems - chunk 7", "pages": [20], "chunk_index": 7, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0016", "UMI-0197", "UMI-0198"], "group_canonical_questions": ["Who leads the Department of Information Systems and which staff are listed there?", "Who is listed as the head of the Department of Information Systems?", "Which areas of specialization are represented in the Department of Information Systems?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["big", "bsc", "cloud", "computing", "danun", "data", "degree", "hons", "intellectual", "internet", "lot", "mohd"], "retrieval_tags": [], "source_text": "\"3. | Ts. Dr. Mohd Shahrul\nNizam Mohd Danun\n(os13)\nPAD of Information\nManagement a\nUiTM\nMaster's ‘in Intellectual\nProperty, UKM\nBSc. Degree in Computer\n‘Science (Hons), USM\n‘* Information Systems\n'* Big Data & Data Science\n‘¢ Internet of Things (loT)\n'* Cloud Computing", "retrieval_text": "Title: Faculty Staff - Department of Information Systems - chunk 7\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Department of Information Systems\n\nCanonical questions:\n- Who leads the Department of Information Systems and which staff are listed there?\n- Who is listed as the head of the Department of Information Systems?\n- Which areas of specialization are represented in the Department of Information Systems?\n\nSource chunk text:\n\"3. | Ts. Dr. Mohd Shahrul\nNizam Mohd Danun\n(os13)\nPAD of Information\nManagement a\nUiTM\nMaster's ‘in Intellectual\nProperty, UKM\nBSc. Degree in Computer\n‘Science (Hons), USM\n‘* Information Systems\n'* Big Data & Data Science\n‘¢ Internet of Things (loT)\n'* Cloud Computing\n\nKeywords: big, bsc, cloud, computing, danun, data, degree, hons, intellectual, internet, lot, mohd"}
+{"kb_id": "RAGKB-0049", "knowledge_group_id": "KG-0054", "source_chunk_id": "SC-00049", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Postgraduate General Information", "subsection": "Legislation and Prescribed Rules", "title": "Postgraduate General Information - Legislation and Prescribed Rules - chunk 1", "pages": [126], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 8, "linked_index_ids": ["UMI-0050", "UMI-0262", "UMI-0263"], "group_canonical_questions": ["What legislation and prescribed rules are referenced for postgraduate students?", "Which university rules, acts, or policy documents are referenced in the postgraduate legislation section?", "How does the postgraduate legislation section frame the rules applicable to coursework and research students?"], "chunk_question_variants": ["What legislation and prescribed rules are referenced for postgraduate students?", "Which university rules, acts, or policy documents are referenced in the postgraduate legislation section?", "How does the postgraduate legislation section frame the rules applicable to coursework and research students?", "Could you tell me what legislation and prescribed rules are referenced for postgraduate students?", "Low-key, what legislation and prescribed rules are referenced for postgraduate students?", "Could you tell me which university rules, acts, or policy documents are referenced in the postgraduate legislation section?", "Could you explain how does the postgraduate legislation section frame the rules applicable to coursework and research students?", "BTW, how does the postgraduate legislation section frame the rules applicable to coursework and research students?"], "matched_qa_ids": ["qa_000050", "qa_000262", "qa_000263", "qa_000494", "qa_000495", "qa_000812", "qa_000813", "qa_000814"], "grounded_answer_bank": ["Postgraduate students are governed by the Universiti Malaya rules and regulations for the relevant master's or doctoral degree, together with the faculty's prescribed academic requirements.", "The postgraduate legislation section refers students to the university rules and regulations that govern postgraduate study and candidature, together with the relevant university acts, statutes, and policy documents that apply to higher-degree students.", "The postgraduate legislation section frames both coursework and research candidates as being subject to the relevant university and faculty rules for their mode of study, including the formal regulations that govern candidature, assessment, and academic administration."], "retrieval_keywords": ["abide", "above", "act", "addition", "all", "candidates", "coursework", "degree", "governed", "legislation", "master's", "policy documents", "postgraduate", "prescribed rules", "regulations", "research students", "rules", "university"], "retrieval_tags": ["legislation_and_prescribed_rules", "postgraduate", "postgraduate_general_information"], "source_text": "LEGISLATION\n& PRESCRIBED RULES\n(1) Master’s Programmes\nMaster's candidates are governed by the Universiti Malaya (Master's Degree)\nRules and Regulations, 2019.\n(2) Ph.D Programme\nPh.D candidates are governed by the Universiti Malaya (Degree of Doctor of\nPhilosophy) Rules and Regulations, 2019. In addition to the above, all\npostgraduate candidates are also governed by the Universities and University\nColleges Act, 1971 Constitution of the Universiti Malaya, and all other statutes,\nrules and regulations currently applicable in the University including the Universiti\nMalaya (Discipline of Candidates) Rules 1999.\nThe full texts of the above rules and regulations are available at\nhttps://umsitsquide.um.edumy. As registered candidates of the Universiti\nMalaya, the candidates have the responsibility to be aware of and abide by the\nrules and regulations of the University, the policies and requirements of their\nrespective faculties, and the advice contained in this handbook.", "retrieval_text": "Title: Postgraduate General Information - Legislation and Prescribed Rules - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Postgraduate General Information\n\nSubsection: Legislation and Prescribed Rules\n\nCanonical questions:\n- What legislation and prescribed rules are referenced for postgraduate students?\n- Which university rules, acts, or policy documents are referenced in the postgraduate legislation section?\n- How does the postgraduate legislation section frame the rules applicable to coursework and research students?\n\nQuestion variants:\n- What legislation and prescribed rules are referenced for postgraduate students?\n- Which university rules, acts, or policy documents are referenced in the postgraduate legislation section?\n- How does the postgraduate legislation section frame the rules applicable to coursework and research students?\n- Could you tell me what legislation and prescribed rules are referenced for postgraduate students?\n- Low-key, what legislation and prescribed rules are referenced for postgraduate students?\n- Could you tell me which university rules, acts, or policy documents are referenced in the postgraduate legislation section?\n- Could you explain how does the postgraduate legislation section frame the rules applicable to coursework and research students?\n- BTW, how does the postgraduate legislation section frame the rules applicable to coursework and research students?\n\nGrounded answer bank:\n- Postgraduate students are governed by the Universiti Malaya rules and regulations for the relevant master's or doctoral degree, together with the faculty's prescribed academic requirements.\n- The postgraduate legislation section refers students to the university rules and regulations that govern postgraduate study and candidature, together with the relevant university acts, statutes, and policy documents that apply to higher-degree students.\n- The postgraduate legislation section frames both coursework and research candidates as being subject to the relevant university and faculty rules for their mode of study, including the formal regulations that govern candidature, assessment, and academic administration.\n\nSource chunk text:\nLEGISLATION\n& PRESCRIBED RULES\n(1) Master’s Programmes\nMaster's candidates are governed by the Universiti Malaya (Master's Degree)\nRules and Regulations, 2019.\n(2) Ph.D Programme\nPh.D candidates are governed by the Universiti Malaya (Degree of Doctor of\nPhilosophy) Rules and Regulations, 2019. In addition to the above, all\npostgraduate candidates are also governed by the Universities and University\nColleges Act, 1971 Constitution of the Universiti Malaya, and all other statutes,\nrules and regulations currently applicable in the University including the Universiti\nMalaya (Discipline of Candidates) Rules 1999.\nThe full texts of the above rules and regulations are available at\nhttps://umsitsquide.um.edumy. As registered candidates of the Universiti\nMalaya, the candidates have the responsibility to be aware of and abide by the\nrules and regulations of the University, the policies and requirements of their\nrespective faculties, and the advice contained in this handbook.\n\nKeywords: abide, above, act, addition, all, candidates, coursework, degree, governed, legislation, master's, policy documents, postgraduate, prescribed rules, regulations, research students, rules, university"}
+{"kb_id": "RAGKB-0050", "knowledge_group_id": "KG-0055", "source_chunk_id": "SC-00050", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Postgraduate General Information", "subsection": "Marking Scheme and Grade Point Average (GPA)", "title": "Postgraduate General Information - Marking Scheme and Grade Point Average (GPA) - chunk 1", "pages": [127], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 13, "linked_index_ids": ["UMI-0051", "UMI-0264", "UMI-0265", "UMI-0266", "UMI-0267"], "group_canonical_questions": ["How does the postgraduate marking scheme and GPA system work?", "What grade letters or grade categories are used in the postgraduate marking scheme?", "How are grade points represented in the postgraduate GPA system?", "What does the postgraduate handbook say about passing, failing, or repeating in the GPA system?", "How is cumulative academic performance interpreted in the postgraduate GPA framework?"], "chunk_question_variants": ["How does the postgraduate marking scheme and GPA system work?", "What grade letters or grade categories are used in the postgraduate marking scheme?", "How are grade points represented in the postgraduate GPA system?", "What does the postgraduate handbook say about passing, failing, or repeating in the GPA system?", "How is cumulative academic performance interpreted in the postgraduate GPA framework?", "Could you explain how does the postgraduate marking scheme and GPA system work?", "Quick one: how does the postgraduate marking scheme and GPA system work?", "Could you tell me what grade letters or grade categories are used in the postgraduate marking scheme?", "Could you explain how are grade points represented in the postgraduate GPA system?", "So basically, how are grade points represented in the postgraduate GPA system?", "Could you tell me what does the postgraduate handbook say about passing, failing, or repeating in the GPA system?", "Could you explain how is cumulative academic performance interpreted in the postgraduate GPA framework?", "Real quick, how is cumulative academic performance interpreted in the postgraduate GPA framework?"], "matched_qa_ids": ["qa_000051", "qa_000264", "qa_000265", "qa_000266", "qa_000267", "qa_000496", "qa_000497", "qa_000815", "qa_000816", "qa_000817", "qa_000818", "qa_000819", "qa_000820"], "grounded_answer_bank": ["Coursework assessment follows the university marking scheme and grade point average system, where grades are converted into GPA values and contribute to the student's academic standing according to the official university grading rules.", "The postgraduate GPA system represents performance by assigning a grade point to each grade under the university's official grading rules.", "The handbook shows that coursework assessment uses an official marking scheme that maps marks to grades and grade points. Passing, failing, and any repeating consequences are interpreted under the university's grading and academic-progression rules."], "retrieval_keywords": ["CGPA", "assessment", "average", "based", "component", "coursework", "cumulative performance", "distinction", "examination", "fail", "following", "gpa", "grade letters", "grade points", "marking", "marking scheme", "pass", "postgraduate GPA", "repeat", "scheme"], "retrieval_tags": ["marking_scheme_and_grade_point_average_gpa", "postgraduate", "postgraduate_general_information"], "source_text": "MARKING SCHEME AND GRADE\nPOINT AVERAGE (GPA)\nThe assessment for the examination of the coursework component is based on the\nfollowing marking scheme:\n90.00 - 100.00 At 4.00 HIGH DISTINCTION\n80.00 - 89.99 A 7.00\n75.00 - 79.99 A 3.70 DISTINCTION\n70.00 - 74.99 Bt 3.30\n65.00 - 69.99 B 3.00 PARS\n60.00 - 64.99 B- 2.70\n55.00 - 59.99 c+ 2.30\n50.00 - 54.99 c 2.00\n45.00 - 49.99 Gs 1.70 FAIL\n40.00 - 44.99 D+ 1.50\n36.00 - 39.99 D 4.00\n0.00 - 34.99 F 0.00", "retrieval_text": "Title: Postgraduate General Information - Marking Scheme and Grade Point Average (GPA) - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Postgraduate General Information\n\nSubsection: Marking Scheme and Grade Point Average (GPA)\n\nCanonical questions:\n- How does the postgraduate marking scheme and GPA system work?\n- What grade letters or grade categories are used in the postgraduate marking scheme?\n- How are grade points represented in the postgraduate GPA system?\n- What does the postgraduate handbook say about passing, failing, or repeating in the GPA system?\n- How is cumulative academic performance interpreted in the postgraduate GPA framework?\n\nQuestion variants:\n- How does the postgraduate marking scheme and GPA system work?\n- What grade letters or grade categories are used in the postgraduate marking scheme?\n- How are grade points represented in the postgraduate GPA system?\n- What does the postgraduate handbook say about passing, failing, or repeating in the GPA system?\n- How is cumulative academic performance interpreted in the postgraduate GPA framework?\n- Could you explain how does the postgraduate marking scheme and GPA system work?\n- Quick one: how does the postgraduate marking scheme and GPA system work?\n- Could you tell me what grade letters or grade categories are used in the postgraduate marking scheme?\n- Could you explain how are grade points represented in the postgraduate GPA system?\n- So basically, how are grade points represented in the postgraduate GPA system?\n- Could you tell me what does the postgraduate handbook say about passing, failing, or repeating in the GPA system?\n- Could you explain how is cumulative academic performance interpreted in the postgraduate GPA framework?\n\nGrounded answer bank:\n- Coursework assessment follows the university marking scheme and grade point average system, where grades are converted into GPA values and contribute to the student's academic standing according to the official university grading rules.\n- The postgraduate GPA system represents performance by assigning a grade point to each grade under the university's official grading rules.\n- The handbook shows that coursework assessment uses an official marking scheme that maps marks to grades and grade points. Passing, failing, and any repeating consequences are interpreted under the university's grading and academic-progression rules.\n\nSource chunk text:\nMARKING SCHEME AND GRADE\nPOINT AVERAGE (GPA)\nThe assessment for the examination of the coursework component is based on the\nfollowing marking scheme:\n90.00 - 100.00 At 4.00 HIGH DISTINCTION\n80.00 - 89.99 A 7.00\n75.00 - 79.99 A 3.70 DISTINCTION\n70.00 - 74.99 Bt 3.30\n65.00 - 69.99 B 3.00 PARS\n60.00 - 64.99 B- 2.70\n55.00 - 59.99 c+ 2.30\n50.00 - 54.99 c 2.00\n45.00 - 49.99 Gs 1.70 FAIL\n40.00 - 44.99 D+ 1.50\n36.00 - 39.99 D 4.00\n0.00 - 34.99 F 0.00\n\nKeywords: CGPA, assessment, average, based, component, coursework, cumulative performance, distinction, examination, fail, following, gpa, grade letters, grade points, marking, marking scheme, pass, postgraduate GPA, repeat, scheme"}
+{"kb_id": "RAGKB-0051", "knowledge_group_id": "KG-0059", "source_chunk_id": "SC-00051", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Progress Report", "title": "Research Guidance - Progress Report - chunk 1", "pages": [129], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 10, "linked_index_ids": ["UMI-0052", "UMI-0268", "UMI-0269", "UMI-0270"], "group_canonical_questions": ["How are postgraduate progress reports handled?", "Who is responsible for submitting or endorsing postgraduate progress reports?", "How often or at what stages are postgraduate progress reports expected?", "What actions may follow unsatisfactory postgraduate progress reports?"], "chunk_question_variants": ["How are postgraduate progress reports handled?", "Who is responsible for submitting or endorsing postgraduate progress reports?", "How often or at what stages are postgraduate progress reports expected?", "What actions may follow unsatisfactory postgraduate progress reports?", "Could you explain how are postgraduate progress reports handled?", "BTW, how are postgraduate progress reports handled?", "Can you tell me who is responsible for submitting or endorsing postgraduate progress reports?", "Could you explain how often or at what stages are postgraduate progress reports expected?", "Just asking, how often or at what stages are postgraduate progress reports expected?", "Could you tell me what actions may follow unsatisfactory postgraduate progress reports?"], "matched_qa_ids": ["qa_000052", "qa_000268", "qa_000269", "qa_000270", "qa_000498", "qa_000499", "qa_000821", "qa_000822", "qa_000823", "qa_000824"], "grounded_answer_bank": ["Postgraduate research candidates must submit progress reports online according to the faculty's schedule and monitoring requirements.", "Postgraduate research candidates must submit the progress report online at the end of each semester, and the supervisor evaluates the report before submitting or endorsing it to the Deputy Dean of Higher Degree or the Head of Department.", "The handbook expects postgraduate research candidates to submit a progress report at the end of each semester, following the stipulated reporting schedule.", "If progress is satisfactory, the candidate may continue the candidature. If progress is unsatisfactory for two consecutive semesters, the faculty may terminate the candidature, and failure to submit the progress report on time may bar the candidate from registering for the following semester."], "retrieval_keywords": ["actions", "all", "barred", "candidate", "candidature", "endorsement", "frequency", "progress", "progress report", "report", "research guidance", "satisfactory", "semester", "shall", "stages", "stipulated", "submission", "submit", "unsatisfactory", "whose"], "retrieval_tags": ["postgraduate", "progress_report", "research_guidance"], "source_text": "PROGRESS REPORT\nAll postgraduate research candidates are to submit a progress report online at the\nend of each semester as stipulated. The supervisor shall evaluate the progress\nreport and submit the progress report to the Deputy Dean of Higher Degree/Head of\nDepartment. A candidate whose progress is satisfactory will be recommended for\ncontinuous of his/her candidature.\nThe Faculty shall terminate the candidature of a candidate whose progress is not\nsatisfactory for TWO consecutive semesters. A candidate who fails to submit his\nprogress report within the stipulated period shall be barred from registering for the\nfollowing semester.", "retrieval_text": "Title: Research Guidance - Progress Report - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Progress Report\n\nCanonical questions:\n- How are postgraduate progress reports handled?\n- Who is responsible for submitting or endorsing postgraduate progress reports?\n- How often or at what stages are postgraduate progress reports expected?\n- What actions may follow unsatisfactory postgraduate progress reports?\n\nQuestion variants:\n- How are postgraduate progress reports handled?\n- Who is responsible for submitting or endorsing postgraduate progress reports?\n- How often or at what stages are postgraduate progress reports expected?\n- What actions may follow unsatisfactory postgraduate progress reports?\n- Could you explain how are postgraduate progress reports handled?\n- BTW, how are postgraduate progress reports handled?\n- Can you tell me who is responsible for submitting or endorsing postgraduate progress reports?\n- Could you explain how often or at what stages are postgraduate progress reports expected?\n- Just asking, how often or at what stages are postgraduate progress reports expected?\n- Could you tell me what actions may follow unsatisfactory postgraduate progress reports?\n\nGrounded answer bank:\n- Postgraduate research candidates must submit progress reports online according to the faculty's schedule and monitoring requirements.\n- Postgraduate research candidates must submit the progress report online at the end of each semester, and the supervisor evaluates the report before submitting or endorsing it to the Deputy Dean of Higher Degree or the Head of Department.\n- The handbook expects postgraduate research candidates to submit a progress report at the end of each semester, following the stipulated reporting schedule.\n- If progress is satisfactory, the candidate may continue the candidature. If progress is unsatisfactory for two consecutive semesters, the faculty may terminate the candidature, and failure to submit the progress report on time may bar the candidate from registering for the following semester.\n\nSource chunk text:\nPROGRESS REPORT\nAll postgraduate research candidates are to submit a progress report online at the\nend of each semester as stipulated. The supervisor shall evaluate the progress\nreport and submit the progress report to the Deputy Dean of Higher Degree/Head of\nDepartment. A candidate whose progress is satisfactory will be recommended for\ncontinuous of his/her candidature.\nThe Faculty shall terminate the candidature of a candidate whose progress is not\nsatisfactory for TWO consecutive semesters. A candidate who fails to submit his\nprogress report within the stipulated period shall be barred from registering for the\nfollowing semester.\n\nKeywords: actions, all, barred, candidate, candidature, endorsement, frequency, progress, progress report, report, research guidance, satisfactory, semester, shall, stages, stipulated, submission, submit, unsatisfactory, whose"}
+{"kb_id": "RAGKB-0052", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00052", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 1", "pages": [130], "chunk_index": 1, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "Could you explain the postgraduate supervision policy?", "Ngl, what's the postgraduate supervision policy?", "Could you list the roles and responsibilities of supervisors in the postgraduate supervision policy?", "Could you list the roles and responsibilities of candidates in the postgraduate supervision policy?", "Quick check: what are the roles and responsibilities of candidates in the postgraduate supervision policy?", "Could you explain the overall purpose of the supervision policy for postgraduate programmes?", "Quick one: what's the overall purpose of the supervision policy for postgraduate programmes?"], "matched_qa_ids": ["qa_000053", "qa_000054", "qa_000055", "qa_000271", "qa_000500", "qa_000501", "qa_000502", "qa_000504", "qa_000505", "qa_000825", "qa_000826"], "grounded_answer_bank": ["A supervision policy for postgraduate programmes that defines the purpose of supervision, appointment and administration of supervisors, expectations for supervision meetings and progress monitoring, and the responsibilities of both supervisors and candidates.", "The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules.", "The supervision policy states that candidates are responsible for maintaining regular academic progress, meeting supervisors, following research and administrative requirements, communicating professionally, and taking responsibility for the quality and integrity of their own work.", "The purpose of the supervision policy is to provide the framework for postgraduate supervision, including the appointment and administration of supervisors, the responsibilities of supervisors and candidates, and the expectations for meetings, guidance, monitoring, and timely completion."], "retrieval_keywords": ["academic", "appointment", "candidate", "candidates", "criteria", "following", "least", "must", "policy", "purpose", "research", "responsibilities", "roles responsibilities candidate", "roles responsibilities supervisor", "supervision policy", "supervisor"], "retrieval_tags": ["postgraduate", "research_guidance", "supervision_policy_for_postgraduate_programmes"], "source_text": "SUPERVISION POLICY FOR\nPOSTGRADUATE PROGRAMMES\nPurpose\nThis policy was created with the following objectives:\n(1)\n(2)\n(3)\n(4)\nTo explain the criteria for the appointment of the supervisor and the\nrole and responsibilities of the supervisor to the candidate in the\nresearch mode and the coursework and research modes.\nTo assist the Responsibility Centre (RC) in making plans for the\ninfrastructure, the workload of the academic staff and intake of\ncandidates.\nTo ensure the quality of supervision is assured and that the research\nproduced by the candidate is consistent with the mission and vision of\nthe University.\nAs a guide for academic staff and candidates in the Universiti\nMalaya in executing the responsibilities as a supervisor and research\ncandidate.\nAppointment of Supervisor\nThe appointment of a supervisor must meet the following criteria:\n(1)\n(2)\n(3)\n(4)\nIt is encouraged to appoint at least two (2) supervisors for each\ncandidate. If only one supervisor is appointed, the supervisor must\nhave the experience of supervising until graduation at least two (2)\ncandidates.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nQuestion variants:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- Could you explain the postgraduate supervision policy?\n- Ngl, what's the postgraduate supervision policy?\n- Could you list the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- Could you list the roles and responsibilities of candidates in the postgraduate supervision policy?\n- Quick check: what are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- Could you explain the overall purpose of the supervision policy for postgraduate programmes?\n- Quick one: what's the overall purpose of the supervision policy for postgraduate programmes?\n\nGrounded answer bank:\n- A supervision policy for postgraduate programmes that defines the purpose of supervision, appointment and administration of supervisors, expectations for supervision meetings and progress monitoring, and the responsibilities of both supervisors and candidates.\n- The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules.\n- The supervision policy states that candidates are responsible for maintaining regular academic progress, meeting supervisors, following research and administrative requirements, communicating professionally, and taking responsibility for the quality and integrity of their own work.\n- The purpose of the supervision policy is to provide the framework for postgraduate supervision, including the appointment and administration of supervisors, the responsibilities of supervisors and candidates, and the expectations for meetings, guidance, monitoring, and timely completion.\n\nSource chunk text:\nSUPERVISION POLICY FOR\nPOSTGRADUATE PROGRAMMES\nPurpose\nThis policy was created with the following objectives:\n(1)\n(2)\n(3)\n(4)\nTo explain the criteria for the appointment of the supervisor and the\nrole and responsibilities of the supervisor to the candidate in the\nresearch mode and the coursework and research modes.\nTo assist the Responsibility Centre (RC) in making plans for the\ninfrastructure, the workload of the academic staff and intake of\ncandidates.\nTo ensure the quality of supervision is assured and that the research\nproduced by the candidate is consistent with the mission and vision of\nthe University.\nAs a guide for academic staff and candidates in the Universiti\nMalaya in executing the responsibilities as a supervisor and research\ncandidate.\nAppointment of Supervisor\nThe appointment of a supervisor must meet the following criteria:\n(1)\n(2)\n(3)\n(4)\nIt is encouraged to appoint at least two (2) supervisors for each\ncandidate. If only one supervisor is appointed, the supervisor must\nhave the experience of supervising until graduation at least two (2)\ncandidates.\n\nKeywords: academic, appointment, candidate, candidates, criteria, following, least, must, policy, purpose, research, responsibilities, roles responsibilities candidate, roles responsibilities supervisor, supervision policy, supervisor"}
+{"kb_id": "RAGKB-0053", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00053", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 2", "pages": [130], "chunk_index": 2, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["account", "appointed", "appointment", "can", "candidate", "considered", "consistent", "field", "have", "qualification", "research", "supervisor"], "retrieval_tags": [], "source_text": "The appointed supervisor must have a minimum qualification\nequivalent to the degree or at par with the program registered by the\ncandidate.\nIf the supervisor does not have the qualification stated, experience in\nthe research field or related industry can be considered as the criteria\nfor appointment as a Supervisor.\nThe appointment of a Supervisor shall take into account the research\nskills and experiences which are consistent with the research field of\nthe candidate.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nThe appointed supervisor must have a minimum qualification\nequivalent to the degree or at par with the program registered by the\ncandidate.\nIf the supervisor does not have the qualification stated, experience in\nthe research field or related industry can be considered as the criteria\nfor appointment as a Supervisor.\nThe appointment of a Supervisor shall take into account the research\nskills and experiences which are consistent with the research field of\nthe candidate.\n\nKeywords: account, appointed, appointment, can, candidate, considered, consistent, field, have, qualification, research, supervisor"}
+{"kb_id": "RAGKB-0054", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00054", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 3", "pages": [131], "chunk_index": 3, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": ["What guidance is given on changing supervisors, dispute handling, or supervision-related administration?", "Could you explain how does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "Ngl, how does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "Could you tell me what guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "matched_qa_ids": ["qa_000274", "qa_000828", "qa_000829", "qa_000830"], "grounded_answer_bank": ["The supervision policy includes administrative guidance on matters such as changes in supervision arrangements, leave-related supervision issues, and the handling of supervision matters through the relevant faculty or research committee structures.", "The supervision policy expects regular communication between supervisors and candidates, together with ongoing reporting and progress monitoring so that the research can be guided and completed responsibly."], "retrieval_keywords": ["academic", "administration", "based", "candidate's", "candidates", "change supervisor", "communication", "dispute", "end", "leave", "may", "not", "reporting", "service", "staff", "supervise", "supervisor", "supervisors"], "retrieval_tags": ["postgraduate", "research_guidance", "supervision_policy_for_postgraduate_programmes"], "source_text": "(8)\n(6)\n(7)\n(8)\n(9)\n(10)\n(11)\n(12)\n(13)\n(14)\nSupervisors suggested by prospective candidates, are given priority to\nsupervise, except in cases where the RC feels that other supervisors are\nmore qualified to supervise.\nAcademic staff on sabbatical leave may be allowed to supervise until the\nend of the leave, provided the leave does not affect the candidate's\nsupervision. However, based on some specific reasons, the Supervisor may\napply to not supervise the candidate while on leave and the decision is\nbased on the discretion of the relevant RC.\nFor academic staff who will be coming to the end of their services, the RC\nshould ensure that a replacement supervisor is ap\nmonths prior to the end of the service date of the\ninted at least six (6)\nI supervisor so that\nboth of them can co-supervise without affecting the progress of the\ncandidate's research.\nFor academic staff have left the service in Universiti Malaya but is still doing\nacademic work elsewhere, they may be appointed as co- supervisor and the\nnumber of candidates supervised shall be limited to five (5) persons, where", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nQuestion variants:\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n- Could you explain how does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- Ngl, how does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- Could you tell me what guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nGrounded answer bank:\n- The supervision policy includes administrative guidance on matters such as changes in supervision arrangements, leave-related supervision issues, and the handling of supervision matters through the relevant faculty or research committee structures.\n- The supervision policy expects regular communication between supervisors and candidates, together with ongoing reporting and progress monitoring so that the research can be guided and completed responsibly.\n\nSource chunk text:\n(8)\n(6)\n(7)\n(8)\n(9)\n(10)\n(11)\n(12)\n(13)\n(14)\nSupervisors suggested by prospective candidates, are given priority to\nsupervise, except in cases where the RC feels that other supervisors are\nmore qualified to supervise.\nAcademic staff on sabbatical leave may be allowed to supervise until the\nend of the leave, provided the leave does not affect the candidate's\nsupervision. However, based on some specific reasons, the Supervisor may\napply to not supervise the candidate while on leave and the decision is\nbased on the discretion of the relevant RC.\nFor academic staff who will be coming to the end of their services, the RC\nshould ensure that a replacement supervisor is ap\nmonths prior to the end of the service date of the\ninted at least six (6)\nI supervisor so that\nboth of them can co-supervise without affecting the progress of the\ncandidate's research.\nFor academic staff have left the service in Universiti Malaya but is still doing\nacademic work elsewhere, they may be appointed as co- supervisor and the\nnumber of candidates supervised shall be limited to five (5) persons, where\n\nKeywords: academic, administration, based, candidate's, candidates, change supervisor, communication, dispute, end, leave, may, not, reporting, service, staff, supervise, supervisor, supervisors"}
+{"kb_id": "RAGKB-0055", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00055", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 4", "pages": [131], "chunk_index": 4, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": ["How does the supervision policy describe communication or reporting expectations between supervisors and candidates?"], "matched_qa_ids": ["qa_000273"], "grounded_answer_bank": ["The supervision policy expects regular communication between supervisors and candidates, together with ongoing reporting and progress monitoring so that the research can be guided and completed responsibly."], "retrieval_keywords": ["academic", "all", "appointment", "assist", "candidates", "communication", "compliance", "criteria", "expertise", "external", "reporting", "research", "shall", "studies", "supervisors"], "retrieval_tags": ["postgraduate", "research_guidance", "supervision_policy_for_postgraduate_programmes"], "source_text": "the candidates must be in their final stage of their studies.\nAppointment of an external party (either academic or non-academic) as co-\nsupervisors can be considered if the external party is able provide research\nfacilities and the expertise which will in turn assist the candidates in their\nresearch.\nAcademic staff should attend training programs\nin supervision or\nenhancement courses prescribed by the Universiti Malaya.\nIf the RC would like to appoint a supervisor who is not in compliance with all\nthe criteria of appointment specified in the policy, the RC shall submit a letter\nof application together with a strong justification to the Dean of Graduate\nStudies Institute of Graduate Studies for consideration and approval.\nAppointment of supervisors shall be managed by the RC in compliance with\nall the criteria specified in this policy. Appointment made shall take into\naccount the space, resources and expertise to support and assist\ncandidates, with their research.\nIf the appointment of a new supervisor is required for some reason, the", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nQuestion variants:\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n\nGrounded answer bank:\n- The supervision policy expects regular communication between supervisors and candidates, together with ongoing reporting and progress monitoring so that the research can be guided and completed responsibly.\n\nSource chunk text:\nthe candidates must be in their final stage of their studies.\nAppointment of an external party (either academic or non-academic) as co-\nsupervisors can be considered if the external party is able provide research\nfacilities and the expertise which will in turn assist the candidates in their\nresearch.\nAcademic staff should attend training programs\nin supervision or\nenhancement courses prescribed by the Universiti Malaya.\nIf the RC would like to appoint a supervisor who is not in compliance with all\nthe criteria of appointment specified in the policy, the RC shall submit a letter\nof application together with a strong justification to the Dean of Graduate\nStudies Institute of Graduate Studies for consideration and approval.\nAppointment of supervisors shall be managed by the RC in compliance with\nall the criteria specified in this policy. Appointment made shall take into\naccount the space, resources and expertise to support and assist\ncandidates, with their research.\nIf the appointment of a new supervisor is required for some reason, the\n\nKeywords: academic, all, appointment, assist, candidates, communication, compliance, criteria, expertise, external, reporting, research, shall, studies, supervisors"}
+{"kb_id": "RAGKB-0056", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00056", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 5", "pages": [131], "chunk_index": 5, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "action", "address", "appointment", "between", "candidate", "cannot", "case", "come", "considered", "dean", "problem"], "retrieval_tags": [], "source_text": "appointment shall be made according to merit and this case is considered\nas a special case. This case cannot be referred to and be an example or a\nprecedent for a case to come.\nIn the event of problems of supervision between supervisor and candidate,\nthe RC should address this problem. If the problem cannot be resolved, the\nmatter may be submitted to the Dean, Institute of Graduate Studies for\nfurther action.\nOm", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nappointment shall be made according to merit and this case is considered\nas a special case. This case cannot be referred to and be an example or a\nprecedent for a case to come.\nIn the event of problems of supervision between supervisor and candidate,\nthe RC should address this problem. If the problem cannot be resolved, the\nmatter may be submitted to the Dean, Institute of Graduate Studies for\nfurther action.\nOm\n\nKeywords: according, action, address, appointment, between, candidate, cannot, case, come, considered, dean, problem"}
+{"kb_id": "RAGKB-0057", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00057", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 6", "pages": [132], "chunk_index": 6, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": ["How does the supervision policy define supervisory meetings, guidance, or monitoring?", "Could you explain how does the supervision policy define supervisory meetings, guidance, or monitoring?"], "matched_qa_ids": ["qa_000272", "qa_000827"], "grounded_answer_bank": ["The supervision policy describes supervision as a structured process of regular academic guidance, supervisory meetings, and progress monitoring, with supervisors expected to provide feedback, track development, and help candidates progress in line with faculty and university requirements."], "retrieval_keywords": ["can", "candidate", "candidates", "change", "follows", "jusa", "lecturer", "maximum", "may", "monitoring", "not", "professor", "supervisor", "supervisory meetings"], "retrieval_tags": ["postgraduate", "research_guidance", "supervision_policy_for_postgraduate_programmes"], "source_text": "3.\nRatio between Supervisor and Candidate\n(ty\n2)\n@)\nThe maximum ratio for candidates to obtain quality supervision are as,\nfollows: -\nResearch Fellow 1:3\nLecturer 1:5\nSenior Lecturer 1:7\nAssociate Professor 1:10\nJusa C Professor 1:15\nJusa B Professor 1:20\nJusa A Professor 1:25\nRC may approve a higher maximum number of candidates provided that\n‘supervisor has shown excellent supervision performance.\nRC can also set a different maximum number of students from above to\nmeet the requirements of relevant professional bodies.\nIn calculating the supervisory workload, three (3) candidates of the\nmixed-mode is equal to two (2) candidates of the research mode.\nChange of Supervisor\n‘Change of supervisor can be implemented as follows:\n(1) If there is strong justification and excuse, the candidate may apply to\nchange the supervisor, not more than once during the period of candidature.\n(2) If there is a supervisor who did not perform the supervisory duties\nsatisfactorily, the Dean of the RC may appoint any other qualified academic\nstaff to replace the said supervisor.\nFamily Links", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nQuestion variants:\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- Could you explain how does the supervision policy define supervisory meetings, guidance, or monitoring?\n\nGrounded answer bank:\n- The supervision policy describes supervision as a structured process of regular academic guidance, supervisory meetings, and progress monitoring, with supervisors expected to provide feedback, track development, and help candidates progress in line with faculty and university requirements.\n\nSource chunk text:\n3.\nRatio between Supervisor and Candidate\n(ty\n2)\n@)\nThe maximum ratio for candidates to obtain quality supervision are as,\nfollows: -\nResearch Fellow 1:3\nLecturer 1:5\nSenior Lecturer 1:7\nAssociate Professor 1:10\nJusa C Professor 1:15\nJusa B Professor 1:20\nJusa A Professor 1:25\nRC may approve a higher maximum number of candidates provided that\n‘supervisor has shown excellent supervision performance.\nRC can also set a different maximum number of students from above to\nmeet the requirements of relevant professional bodies.\nIn calculating the supervisory workload, three (3) candidates of the\nmixed-mode is equal to two (2) candidates of the research mode.\nChange of Supervisor\n‘Change of supervisor can be implemented as follows:\n(1) If there is strong justification and excuse, the candidate may apply to\nchange the supervisor, not more than once during the period of candidature.\n(2) If there is a supervisor who did not perform the supervisory duties\nsatisfactorily, the Dean of the RC may appoint any other qualified academic\nstaff to replace the said supervisor.\nFamily Links\n\nKeywords: can, candidate, candidates, change, follows, jusa, lecturer, maximum, may, monitoring, not, professor, supervisor, supervisory meetings"}
+{"kb_id": "RAGKB-0058", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00058", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 7", "pages": [132], "chunk_index": 7, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "any", "appointed", "both", "candidate", "close", "each", "family", "have", "link", "not", "supervisors"], "retrieval_tags": [], "source_text": "(1) Supervisors appointed shall not have a close family link to the\ncandidate.\n2) Both the appointed supervisors also must not have any family\nrelationship with each other.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\n(1) Supervisors appointed shall not have a close family link to the\ncandidate.\n2) Both the appointed supervisors also must not have any family\nrelationship with each other.\n\nKeywords: also, any, appointed, both, candidate, close, each, family, have, link, not, supervisors"}
+{"kb_id": "RAGKB-0059", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00059", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 8", "pages": [133], "chunk_index": 8, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "appendix", "appointed", "candidate", "candidature", "exercise", "out", "responsibilities", "role", "set", "shall", "supervisor"], "retrieval_tags": [], "source_text": "Role and Responsibilities of the Supervisor\nThe appointed supervisor shall exercise his/her role and responsibilities as set out\nin Appendix A.\nRole and Responsibilities of the Candidate\nThe candidate shall also be responsible for the candidature and research\nthroughout their status as a student in the Universiti Malaya as set out in Appendix B.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nRole and Responsibilities of the Supervisor\nThe appointed supervisor shall exercise his/her role and responsibilities as set out\nin Appendix A.\nRole and Responsibilities of the Candidate\nThe candidate shall also be responsible for the candidature and research\nthroughout their status as a student in the Universiti Malaya as set out in Appendix B.\n\nKeywords: also, appendix, appointed, candidate, candidature, exercise, out, responsibilities, role, set, shall, supervisor"}
+{"kb_id": "RAGKB-0060", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00060", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 9", "pages": [130, 134], "chunk_index": 9, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": ["So basically, what are the roles and responsibilities of supervisors in the postgraduate supervision policy?"], "matched_qa_ids": ["qa_000503"], "grounded_answer_bank": ["The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules."], "retrieval_keywords": ["academic", "adequate", "attend", "awareness", "background", "candidate", "need", "project", "research", "roles responsibilities supervisor", "should", "supervisor", "supervisors"], "retrieval_tags": ["postgraduate", "research_guidance", "supervision_policy_for_postgraduate_programmes"], "source_text": "ROLE AND RESPONSIBILITIES OF THE SUPERVISOR\nBefore starting, the supervisor to the candidate will need to know the latest\nuniversity rules and regulations relating to higher degree programs.\nSupervisors should have adequate knowedge, enhanced theoretical and\nconceptual framework, and is up to date in the field of research of the candidate.\nSupervisors should be knowledgeable about the work schedule provided for the\ncompletion of a research project so that it complies with the provisions of certain\ndegrees. This is to ensure the smooth running of the candidate's research project.\nSupervisors are responsible for providing relevant and adequate guidance and\nacademic support to students during the supervision period to enable the\ncandidate to carry out excellent research and writing. This responsibility includes\nguiding the careful planning of the research, the background and library research,\nthe need to attend courses to complete the research, including scientific methods.\nAwareness about the impact of fraud and plagiarism should be informed to the\ncandidate.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nQuestion variants:\n- So basically, what are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n\nGrounded answer bank:\n- The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules.\n\nSource chunk text:\nROLE AND RESPONSIBILITIES OF THE SUPERVISOR\nBefore starting, the supervisor to the candidate will need to know the latest\nuniversity rules and regulations relating to higher degree programs.\nSupervisors should have adequate knowedge, enhanced theoretical and\nconceptual framework, and is up to date in the field of research of the candidate.\nSupervisors should be knowledgeable about the work schedule provided for the\ncompletion of a research project so that it complies with the provisions of certain\ndegrees. This is to ensure the smooth running of the candidate's research project.\nSupervisors are responsible for providing relevant and adequate guidance and\nacademic support to students during the supervision period to enable the\ncandidate to carry out excellent research and writing. This responsibility includes\nguiding the careful planning of the research, the background and library research,\nthe need to attend courses to complete the research, including scientific methods.\nAwareness about the impact of fraud and plagiarism should be informed to the\ncandidate.\n\nKeywords: academic, adequate, attend, awareness, background, candidate, need, project, research, roles responsibilities supervisor, should, supervisor, supervisors"}
+{"kb_id": "RAGKB-0061", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00061", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 10", "pages": [134], "chunk_index": 10, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["appointed", "candidate", "candidates", "each", "face", "first", "may", "meeting", "month", "should", "supervisor", "supervisors"], "retrieval_tags": [], "source_text": "Supervisors should interact with the candidate at least two (2) times per month in\nthe first semester and once (1) a month for the next semester. For the first\nmeeting, the supervisor and the candidate must talk face to face, while, the next\nmeeting may be conducted via other methods such as on- line.\nSupervisors are responsible to ensure that candidates could communicate with\nrelevant experts should the research area requires so. In certain cases, an\nadditional supervisor or consultant may be appointed\nEach supervisor should be appointed to the candidates should know their\nresponsibilities respectively and explained to the candidates on the aspects that\nwill be monitored. In the event that two (2) supervisors were appointed for each\ncandidate, the effective working relationship between all parties needs to be\nmaintained together.\nSupervisors need to help candidates in the preparation with regards to the\npresentation at conferences, seminars, meetings and workshops.\nSupervisors are encouraged to record every meeting and discussion with the", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nSupervisors should interact with the candidate at least two (2) times per month in\nthe first semester and once (1) a month for the next semester. For the first\nmeeting, the supervisor and the candidate must talk face to face, while, the next\nmeeting may be conducted via other methods such as on- line.\nSupervisors are responsible to ensure that candidates could communicate with\nrelevant experts should the research area requires so. In certain cases, an\nadditional supervisor or consultant may be appointed\nEach supervisor should be appointed to the candidates should know their\nresponsibilities respectively and explained to the candidates on the aspects that\nwill be monitored. In the event that two (2) supervisors were appointed for each\ncandidate, the effective working relationship between all parties needs to be\nmaintained together.\nSupervisors need to help candidates in the preparation with regards to the\npresentation at conferences, seminars, meetings and workshops.\nSupervisors are encouraged to record every meeting and discussion with the\n\nKeywords: appointed, candidate, candidates, each, face, first, may, meeting, month, should, supervisor, supervisors"}
+{"kb_id": "RAGKB-0062", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00062", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 11", "pages": [134], "chunk_index": 11, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["achievement", "candidate", "each", "file", "progress", "projects", "providing", "record", "research", "study", "updating"], "retrieval_tags": [], "source_text": "candidate about the study and research of the candidate by providing\nand updating the file on record of achievement and progress of research projects\nfor each candidate.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\ncandidate about the study and research of the candidate by providing\nand updating the file on record of achievement and progress of research projects\nfor each candidate.\n\nKeywords: achievement, candidate, each, file, progress, projects, providing, record, research, study, updating"}
+{"kb_id": "RAGKB-0063", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00063", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 12", "pages": [135], "chunk_index": 12, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "candidate", "candidates", "each", "help", "must", "not", "progress", "should", "submitted", "supervisor", "supervisors"], "retrieval_tags": [], "source_text": "Supervisors should evaluate the progress of the candidates by getting a written\nreport and monitor the performance in a relative manner according to the quality\nset for a certain degree. Candidates should be informed if the quality of her work\ndid not reach the required standard. If progress of the candidates is not\n‘satisfactory, the supervisor must take action to help the candidates improve their\nperformance. Progress report for each semester for each candidate must be\nsubmitted by the supervisor to the Academic / Faculty / Institute / Centre as\nscheduled.\nSupervisors should help candidates in academic writing, presentations in\nconferences and submitted for publication. For all the academic papers submitted\nfor publication, written jointly by the supervisor and candidate, both have to agree\nto publish them together.\nSupervisors need to help manage and secure any funds (example: Vote PPP,\nUMRG etc.) for research projects.\nSupervisors must ensure work safety rules are followed during the research and\nare carried out in accordance with health and safety ethics policy specified by the", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nSupervisors should evaluate the progress of the candidates by getting a written\nreport and monitor the performance in a relative manner according to the quality\nset for a certain degree. Candidates should be informed if the quality of her work\ndid not reach the required standard. If progress of the candidates is not\n‘satisfactory, the supervisor must take action to help the candidates improve their\nperformance. Progress report for each semester for each candidate must be\nsubmitted by the supervisor to the Academic / Faculty / Institute / Centre as\nscheduled.\nSupervisors should help candidates in academic writing, presentations in\nconferences and submitted for publication. For all the academic papers submitted\nfor publication, written jointly by the supervisor and candidate, both have to agree\nto publish them together.\nSupervisors need to help manage and secure any funds (example: Vote PPP,\nUMRG etc.) for research projects.\nSupervisors must ensure work safety rules are followed during the research and\nare carried out in accordance with health and safety ethics policy specified by the\n\nKeywords: academic, candidate, candidates, each, help, must, not, progress, should, submitted, supervisor, supervisors"}
+{"kb_id": "RAGKB-0064", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00064", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 13", "pages": [135], "chunk_index": 13, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advise", "also", "board", "candidate", "examiner", "examiners", "format", "graduate", "not", "should", "supervisor", "supervisors"], "retrieval_tags": [], "source_text": "University.\nSupervisors should provide constructive and critical comments on the candidate's\ndrafts of the thesis within a reasonable time and advise the candidate regarding\nthe format of the thesis as specified by the University.\nSupervisors should suggest and advise the Post Graduate Office of the RC in the\nprocess of nomination and evaluation of expertise of internal and external\nexaminer. The supervisors also need to ensure that there are no delays in the\nprocess.\nThe Role of Supervisor in the Board of Examiners\n4.\nThe role of supervisor in the Board of Examiners is as the advisor. The supervisor\nis not involved in any discussions relating to the results of work submitted by the\ncandidate. The supervisor does not function as an examiner.\nThe supervisor's attendance in the Board of Examiners shall be by\ninvitation only.\nSupervisors are expected to provide supervision reports in the required format\nwithin a specified time to the Post Graduate Office for the Board of Examiners\nmeeting.\nThe supervisor should also help the candidates on the corrections to be done", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nUniversity.\nSupervisors should provide constructive and critical comments on the candidate's\ndrafts of the thesis within a reasonable time and advise the candidate regarding\nthe format of the thesis as specified by the University.\nSupervisors should suggest and advise the Post Graduate Office of the RC in the\nprocess of nomination and evaluation of expertise of internal and external\nexaminer. The supervisors also need to ensure that there are no delays in the\nprocess.\nThe Role of Supervisor in the Board of Examiners\n4.\nThe role of supervisor in the Board of Examiners is as the advisor. The supervisor\nis not involved in any discussions relating to the results of work submitted by the\ncandidate. The supervisor does not function as an examiner.\nThe supervisor's attendance in the Board of Examiners shall be by\ninvitation only.\nSupervisors are expected to provide supervision reports in the required format\nwithin a specified time to the Post Graduate Office for the Board of Examiners\nmeeting.\nThe supervisor should also help the candidates on the corrections to be done\n\nKeywords: advise, also, board, candidate, examiner, examiners, format, graduate, not, should, supervisor, supervisors"}
+{"kb_id": "RAGKB-0065", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00065", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 14", "pages": [135], "chunk_index": 14, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["back", "based", "board", "candidate", "cases", "comments", "continue", "examiners", "further", "oversee", "raised", "referred"], "retrieval_tags": [], "source_text": "based on the comments raised by the Board of Examiners and\ncontinue to oversee the candidate in cases where the thesis is referred back\nfor further study.\nOm", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nbased on the comments raised by the Board of Examiners and\ncontinue to oversee the candidate in cases where the thesis is referred back\nfor further study.\nOm\n\nKeywords: back, based, board, candidate, cases, comments, continue, examiners, further, oversee, raised, referred"}
+{"kb_id": "RAGKB-0066", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00066", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 15", "pages": [136], "chunk_index": 15, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["book", "candidate", "candidates", "degree", "doctor", "face", "first", "master's", "meeting", "regulations", "should", "supervisor"], "retrieval_tags": [], "source_text": "ROLE AND RESPONSIBILITIES OF THE CANDIDATE\n1. Candidates should understand and fulfil all of the conditions contained in the\nletter of offer, rules and regulations applicable to the program. Examples are as\nfollows:\n(A) Book of the Universiti Malaya (Master's Degree)\nRegulations 2010 and the Universiti Malaya (Master's\nDegree) 2010;\n(B) Book of the Universiti Malaya (Degree of Doctor of\nPhilosophy) 2007 and Regulations of the Universiti Malaya\n(Degree of doctor of Philosophy 2007);\n(c) Program handbook, and\n(D) Postgraduate Handbook.\n2. Candidates should interact with the supervisor at least two (2) times per month in\nthe first semester and once (1) a month the next semester. For the first meeting,\nthe candidate and supervisor should talk face to face, while, the next meeting can\nbe conducted via other methods such as online.\n3. Candidates shall record meetings and discussions on their research each time\nthey meet with the supervisor.\n4. Candidates should have a good working relationship with the supervisor.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 15\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\nROLE AND RESPONSIBILITIES OF THE CANDIDATE\n1. Candidates should understand and fulfil all of the conditions contained in the\nletter of offer, rules and regulations applicable to the program. Examples are as\nfollows:\n(A) Book of the Universiti Malaya (Master's Degree)\nRegulations 2010 and the Universiti Malaya (Master's\nDegree) 2010;\n(B) Book of the Universiti Malaya (Degree of Doctor of\nPhilosophy) 2007 and Regulations of the Universiti Malaya\n(Degree of doctor of Philosophy 2007);\n(c) Program handbook, and\n(D) Postgraduate Handbook.\n2. Candidates should interact with the supervisor at least two (2) times per month in\nthe first semester and once (1) a month the next semester. For the first meeting,\nthe candidate and supervisor should talk face to face, while, the next meeting can\nbe conducted via other methods such as online.\n3. Candidates shall record meetings and discussions on their research each time\nthey meet with the supervisor.\n4. Candidates should have a good working relationship with the supervisor.\n\nKeywords: book, candidate, candidates, degree, doctor, face, first, master's, meeting, regulations, should, supervisor"}
+{"kb_id": "RAGKB-0067", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00067", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 16", "pages": [136], "chunk_index": 16, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "activities", "agree", "any", "candidates", "comply", "consultation", "department", "must", "plan", "research", "supervisor"], "retrieval_tags": [], "source_text": "5. Candidates must plan the project schedule and comply with the maximum period\nof study.\n6. Candidates should discuss and agree with the supervisor on consultation times.\n7. Candidates must submit progress as specified without falsifying the research\noutcome and is free of plagiarism.\n8. Candidates must notify their supervisor of any problems that may interfere with\nthe research.\n9. Candidates shall engage in academic activities organized by the department or\nthe RC.\n10. Candidates must plan and ensure sufficient time to do the research and write the\nthesis.\nmm", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 16\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\n5. Candidates must plan the project schedule and comply with the maximum period\nof study.\n6. Candidates should discuss and agree with the supervisor on consultation times.\n7. Candidates must submit progress as specified without falsifying the research\noutcome and is free of plagiarism.\n8. Candidates must notify their supervisor of any problems that may interfere with\nthe research.\n9. Candidates shall engage in academic activities organized by the department or\nthe RC.\n10. Candidates must plan and ensure sufficient time to do the research and write the\nthesis.\nmm\n\nKeywords: academic, activities, agree, any, candidates, comply, consultation, department, must, plan, research, supervisor"}
+{"kb_id": "RAGKB-0068", "knowledge_group_id": "KG-0061", "source_chunk_id": "SC-00068", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Supervision Policy for Postgraduate Programmes", "title": "Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 17", "pages": [137], "chunk_index": 17, "group_size_chunks": 17, "group_size_qas": 19, "linked_index_ids": ["UMI-0053", "UMI-0054", "UMI-0055", "UMI-0271", "UMI-0272", "UMI-0273", "UMI-0274"], "group_canonical_questions": ["What is the postgraduate supervision policy?", "What are the roles and responsibilities of supervisors in the postgraduate supervision policy?", "What are the roles and responsibilities of candidates in the postgraduate supervision policy?", "What is the overall purpose of the supervision policy for postgraduate programmes?", "How does the supervision policy define supervisory meetings, guidance, or monitoring?", "How does the supervision policy describe communication or reporting expectations between supervisors and candidates?", "What guidance is given on changing supervisors, dispute handling, or supervision-related administration?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["active", "after", "always", "appointment", "board", "candidate", "candidates", "presentation", "responsible", "supervisor", "thesis", "viva-voce"], "retrieval_tags": [], "source_text": "11.\n12.\n13.\n14.\nCandidates should ensure that their candidature is always active by\nrenewing their registration each semester.\nA candidate shall give three months’ notice to the supervisor or inform the\nsupervisor the date for submission of the thesis for examination purposes, so\nthere is no delay in the appointment of examiners.\nCandidates are solely responsible for the content, the presentation of thesis\nand viva-voce presentation.\nCandidates are responsible for ensuring that corrections are made in a given\nperiod after the Board of Examiner's meeting / viva-voce and the Senate.", "retrieval_text": "Title: Research Guidance - Supervision Policy for Postgraduate Programmes - chunk 17\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Supervision Policy for Postgraduate Programmes\n\nCanonical questions:\n- What is the postgraduate supervision policy?\n- What are the roles and responsibilities of supervisors in the postgraduate supervision policy?\n- What are the roles and responsibilities of candidates in the postgraduate supervision policy?\n- What is the overall purpose of the supervision policy for postgraduate programmes?\n- How does the supervision policy define supervisory meetings, guidance, or monitoring?\n- How does the supervision policy describe communication or reporting expectations between supervisors and candidates?\n- What guidance is given on changing supervisors, dispute handling, or supervision-related administration?\n\nSource chunk text:\n11.\n12.\n13.\n14.\nCandidates should ensure that their candidature is always active by\nrenewing their registration each semester.\nA candidate shall give three months’ notice to the supervisor or inform the\nsupervisor the date for submission of the thesis for examination purposes, so\nthere is no delay in the appointment of examiners.\nCandidates are solely responsible for the content, the presentation of thesis\nand viva-voce presentation.\nCandidates are responsible for ensuring that corrections are made in a given\nperiod after the Board of Examiner's meeting / viva-voce and the Senate.\n\nKeywords: active, after, always, appointment, board, candidate, candidates, presentation, responsible, supervisor, thesis, viva-voce"}
+{"kb_id": "RAGKB-0069", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00069", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 1", "pages": [138], "chunk_index": 1, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "Could you tell me what thesis preparation guidelines are given for postgraduate students?", "Real quick, what thesis preparation guidelines are given for postgraduate students?", "Could you tell me what formatting or structural expectations are described in the thesis preparation guidelines?", "Quick check: what formatting or structural expectations are described in the thesis preparation guidelines?"], "matched_qa_ids": ["qa_000056", "qa_000275", "qa_000506", "qa_000507", "qa_000831", "qa_000832"], "grounded_answer_bank": ["The thesis preparation guidelines define the terms research report, dissertation, and thesis, and explain the expected structure, formatting, and submission preparation for postgraduate research writing.", "The thesis preparation guidelines describe the expected structure and formatting of postgraduate research writing, including front matter, body chapters, references, appendices, and the accepted writing formats."], "retrieval_keywords": ["candidate", "degree", "dissertation", "documentation", "master's", "prepared", "project", "refers", "report", "research", "structure", "submitted", "thesis", "thesis formatting", "thesis preparation guidelines"], "retrieval_tags": ["postgraduate", "research_guidance", "thesis_preparation_guidelines"], "source_text": "THESIS PREPARATION\nGUIDELINES\nPREFACE\nIn the process of completing a postgraduate programme and being awarded the\ndegree by the Universiti Malaya, a candidate may be required to submit a research report or\ndissertation or thesis, depending on the requirements of the specific programme.\nThe terms “research report’, “dissertation” and “thesis” are defined as follows:\n«Research Report refers to the documentation of research prepared and submitted by the\ncandidate for the award of a Master's degree by Coursework or Master's Degree by\nClinical which may include research paper, research project, project paper, project report\nand research outcome concerned known by whatsoever name;\n* Dissertation refers to the documentation of the original research prepared and submitted\nby the candidate for the award of a Master's degree by Research, and Master's Degree\nby Mixed Mode as well as Doctoral degree by Coursework and Doctoral degree by Clinical;\nThesis refers to the documentation of the original research prepared and submitted by the", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nQuestion variants:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- Could you tell me what thesis preparation guidelines are given for postgraduate students?\n- Real quick, what thesis preparation guidelines are given for postgraduate students?\n- Could you tell me what formatting or structural expectations are described in the thesis preparation guidelines?\n- Quick check: what formatting or structural expectations are described in the thesis preparation guidelines?\n\nGrounded answer bank:\n- The thesis preparation guidelines define the terms research report, dissertation, and thesis, and explain the expected structure, formatting, and submission preparation for postgraduate research writing.\n- The thesis preparation guidelines describe the expected structure and formatting of postgraduate research writing, including front matter, body chapters, references, appendices, and the accepted writing formats.\n\nSource chunk text:\nTHESIS PREPARATION\nGUIDELINES\nPREFACE\nIn the process of completing a postgraduate programme and being awarded the\ndegree by the Universiti Malaya, a candidate may be required to submit a research report or\ndissertation or thesis, depending on the requirements of the specific programme.\nThe terms “research report’, “dissertation” and “thesis” are defined as follows:\n«Research Report refers to the documentation of research prepared and submitted by the\ncandidate for the award of a Master's degree by Coursework or Master's Degree by\nClinical which may include research paper, research project, project paper, project report\nand research outcome concerned known by whatsoever name;\n* Dissertation refers to the documentation of the original research prepared and submitted\nby the candidate for the award of a Master's degree by Research, and Master's Degree\nby Mixed Mode as well as Doctoral degree by Coursework and Doctoral degree by Clinical;\nThesis refers to the documentation of the original research prepared and submitted by the\n\nKeywords: candidate, degree, dissertation, documentation, master's, prepared, project, refers, report, research, structure, submitted, thesis, thesis formatting, thesis preparation guidelines"}
+{"kb_id": "RAGKB-0070", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00070", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 2", "pages": [138], "chunk_index": 2, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academy/faculty/institute/centre", "additional", "assist", "award", "candidate", "degree", "doctoral", "format", "guideline", "requirements", "research", "will"], "retrieval_tags": [], "source_text": "candidate for the award of a Doctoral degree by Research and Doctoral degree by Mixed\nMode.\nThis guideline will assist the candidates to meet the minimum format requirements set\nby the University to complete the final form of a research report, dissertation or thesis.\nHowever, the format may differ in each individual Academy/Faculty/Institute/Centre with its\n‘own additional requirements. In this guideline, the term ‘faculty’ will be used to refer to\nAcademy/Faculty/Institute/Centre.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\ncandidate for the award of a Doctoral degree by Research and Doctoral degree by Mixed\nMode.\nThis guideline will assist the candidates to meet the minimum format requirements set\nby the University to complete the final form of a research report, dissertation or thesis.\nHowever, the format may differ in each individual Academy/Faculty/Institute/Centre with its\n‘own additional requirements. In this guideline, the term ‘faculty’ will be used to refer to\nAcademy/Faculty/Institute/Centre.\n\nKeywords: academy/faculty/institute/centre, additional, assist, award, candidate, degree, doctoral, format, guideline, requirements, research, will"}
+{"kb_id": "RAGKB-0071", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00071", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 3", "pages": [139], "chunk_index": 3, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": ["What language, style, or presentation standards are described for thesis writing?", "Could you tell me what language, style, or presentation standards are described for thesis writing?", "Hey, what language, style, or presentation standards are described for thesis writing?"], "matched_qa_ids": ["qa_000277", "qa_000834", "qa_000835"], "grounded_answer_bank": ["The guidelines state that the research report, dissertation, or thesis must follow the accepted academic format of the faculty and university, and that candidates should confirm the appropriate format and presentation style with their supervisors."], "retrieval_keywords": ["candidates", "conventional", "dissertation", "follows", "format", "formats", "language", "list", "presentation", "report", "research", "structure", "style", "table", "thesis"], "retrieval_tags": ["postgraduate", "research_guidance", "thesis_preparation_guidelines"], "source_text": "CHAPTER 1: FORMAT OF WRITING\nA research report, dissertation or thesis can be written in one of the following formats:\n* Conventional format;\n* Article style format;\n+ Format of published papers (this option is only available for Doctoral programme by\nresearch candidates)\nThese formats serve as a generic guideline for the postgraduate candidates in writing a\nresearch report, dissertation or thesis. Minor variation of the format as recommended by the\nfaculty is allowed. Candidates are advised to discuss with their supervisors to determine which\nformat is best suited for the nature of their research work.\n1.1. Conventional Format\nThe conventional format follows the traditional monograph structure (Table 1.1). This is the\nmost common form of research report/dissertation/thesis used by the candidates.\nTable 1.1: The general structure that follows the conventional format\nPreliminary\n* Title Page\n+ Original Literary Work Declaration\n* Abstract\n+ Abstrak\n+ Acknowledgements\n* Table of Contents\n+ List of Figures\n* List of Tables\n«List of Symbols and Abbreviations\n+ List of Appendices", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nQuestion variants:\n- What language, style, or presentation standards are described for thesis writing?\n- Could you tell me what language, style, or presentation standards are described for thesis writing?\n- Hey, what language, style, or presentation standards are described for thesis writing?\n\nGrounded answer bank:\n- The guidelines state that the research report, dissertation, or thesis must follow the accepted academic format of the faculty and university, and that candidates should confirm the appropriate format and presentation style with their supervisors.\n\nSource chunk text:\nCHAPTER 1: FORMAT OF WRITING\nA research report, dissertation or thesis can be written in one of the following formats:\n* Conventional format;\n* Article style format;\n+ Format of published papers (this option is only available for Doctoral programme by\nresearch candidates)\nThese formats serve as a generic guideline for the postgraduate candidates in writing a\nresearch report, dissertation or thesis. Minor variation of the format as recommended by the\nfaculty is allowed. Candidates are advised to discuss with their supervisors to determine which\nformat is best suited for the nature of their research work.\n1.1. Conventional Format\nThe conventional format follows the traditional monograph structure (Table 1.1). This is the\nmost common form of research report/dissertation/thesis used by the candidates.\nTable 1.1: The general structure that follows the conventional format\nPreliminary\n* Title Page\n+ Original Literary Work Declaration\n* Abstract\n+ Abstrak\n+ Acknowledgements\n* Table of Contents\n+ List of Figures\n* List of Tables\n«List of Symbols and Abbreviations\n+ List of Appendices\n\nKeywords: candidates, conventional, dissertation, follows, format, formats, language, list, presentation, report, research, structure, style, table, thesis"}
+{"kb_id": "RAGKB-0072", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00072", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 4", "pages": [139], "chunk_index": 4, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "appendix", "body", "chapter", "chapters", "conclusion", "consolidated", "discussion", "introduction", "list", "literature", "references"], "retrieval_tags": [], "source_text": "Main Body\n+ Chapter 1: Introduction\n+ Chapter 2: Literature Review\n* Chapter 3: Methodology\n= Chapter 4: Results\n+ Chapter 5: Discussion\n+ Chapter 6: Conclusion\n+ References (A consolidated list of references for all chapters)\nSupplementary\n+ _ List of Publications and Papers Presented\n= Appendix", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nMain Body\n+ Chapter 1: Introduction\n+ Chapter 2: Literature Review\n* Chapter 3: Methodology\n= Chapter 4: Results\n+ Chapter 5: Discussion\n+ Chapter 6: Conclusion\n+ References (A consolidated list of references for all chapters)\nSupplementary\n+ _ List of Publications and Papers Presented\n= Appendix\n\nKeywords: all, appendix, body, chapter, chapters, conclusion, consolidated, discussion, introduction, list, literature, references"}
+{"kb_id": "RAGKB-0073", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00073", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 5", "pages": [140], "chunk_index": 5, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "answering", "apart", "article", "candidate", "chapters", "format", "may", "papers", "publications", "research", "style"], "retrieval_tags": [], "source_text": "1.2 Article Style Format\nApart from the conventional style of writing, a research report/dissertation/thesis can also be\npresented in the chapters that are in the format of journal article (Table 1.2). The number of\nchapters to be included is at the discretion of the author, depending on the suitability of the\nchapters in answering the research questions.\nThis format is also applicable to candidates of Doctoral Degree by Research using Concurrent\nor Prospective Publication. The candidate submits a thesis/conspectus' which incorporates\npublications that may have multiple authors since registration. The candidate may also\npresent a portfolio of interconnected, published research papers or articles encapsulated in a\ncoherent thesis/conspectus, demonstrating overall an original contribution to knowledge.\nSuch publications may include papers, chapters, monographs, books, scholarly editions of a\ntext, technical reports, creative work in relevant areas, or other artefacts. The thesis (with the\npublications or equivalent works) must meet the criteria and outcomes established for a", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n1.2 Article Style Format\nApart from the conventional style of writing, a research report/dissertation/thesis can also be\npresented in the chapters that are in the format of journal article (Table 1.2). The number of\nchapters to be included is at the discretion of the author, depending on the suitability of the\nchapters in answering the research questions.\nThis format is also applicable to candidates of Doctoral Degree by Research using Concurrent\nor Prospective Publication. The candidate submits a thesis/conspectus' which incorporates\npublications that may have multiple authors since registration. The candidate may also\npresent a portfolio of interconnected, published research papers or articles encapsulated in a\ncoherent thesis/conspectus, demonstrating overall an original contribution to knowledge.\nSuch publications may include papers, chapters, monographs, books, scholarly editions of a\ntext, technical reports, creative work in relevant areas, or other artefacts. The thesis (with the\npublications or equivalent works) must meet the criteria and outcomes established for a\n\nKeywords: also, answering, apart, article, candidate, chapters, format, may, papers, publications, research, style"}
+{"kb_id": "RAGKB-0074", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00074", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 6", "pages": [140], "chunk_index": 6, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["address", "article", "format", "general", "introduction", "literature", "report/dissertation/thesis", "research", "review", "should", "style", "topic"], "retrieval_tags": [], "source_text": "doctoral award and assessed through a viva voce.\nThe article style format should not be confused with the format for thesis by retrospective or\nprior publication. Similar to the conventional format, a research report/dissertation/thesis in\nthe article style format should be written extensively to elucidate the different aspects of the\nresearch work in great details.\nThe main body of a research report/dissertation/thesis in the article style format should contain\nthe following chapters:\n(a) General Introduction\nThe General Introduction gives an overview of the research by outlining the objectives,\nnovelty as well as the research questions addressed. This chapter should also explain the\ncorrelation among the articles/chapters.\nLiterature Review\nThe Literature Review provides extensive background information on past studies and\ncurrent knowledge pertaining to the research topic.\n(b)\nArticle 1, Article 2, Article 3 or more\nEach article should address a specific research objective or a related topic of the study.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\ndoctoral award and assessed through a viva voce.\nThe article style format should not be confused with the format for thesis by retrospective or\nprior publication. Similar to the conventional format, a research report/dissertation/thesis in\nthe article style format should be written extensively to elucidate the different aspects of the\nresearch work in great details.\nThe main body of a research report/dissertation/thesis in the article style format should contain\nthe following chapters:\n(a) General Introduction\nThe General Introduction gives an overview of the research by outlining the objectives,\nnovelty as well as the research questions addressed. This chapter should also explain the\ncorrelation among the articles/chapters.\nLiterature Review\nThe Literature Review provides extensive background information on past studies and\ncurrent knowledge pertaining to the research topic.\n(b)\nArticle 1, Article 2, Article 3 or more\nEach article should address a specific research objective or a related topic of the study.\n\nKeywords: address, article, format, general, introduction, literature, report/dissertation/thesis, research, review, should, style, topic"}
+{"kb_id": "RAGKB-0075", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00075", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 7", "pages": [140], "chunk_index": 7, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "artefact/s", "article", "article/chapter", "articles", "brief", "chapter", "coherent", "conclusion", "must", "research", "review"], "retrieval_tags": [], "source_text": "Each article forms a separate chapter and must be written in a cohesive manner with a\nlogical and coordinated progression from one article/chapter to the other. The\narticle/chapter should consist of its own sections on Introduction, brief Literature Review,\nMethodology, Results, Discussion and Conclusion.\n(c)\n(d) Conclusion and Recommendation\nThe Conclusion chapter summarizes the findings in all articles and suggests the future\ndirection for research.\nThe format specifications of the research report/dissertation/thesis must conform to the\ngeneral research report /dissertation/thesis requirements as outlined in Chapter 2.\n\" A critical review which locates the artefact/s within a coherent theoretical framework and field/s of study.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nEach article forms a separate chapter and must be written in a cohesive manner with a\nlogical and coordinated progression from one article/chapter to the other. The\narticle/chapter should consist of its own sections on Introduction, brief Literature Review,\nMethodology, Results, Discussion and Conclusion.\n(c)\n(d) Conclusion and Recommendation\nThe Conclusion chapter summarizes the findings in all articles and suggests the future\ndirection for research.\nThe format specifications of the research report/dissertation/thesis must conform to the\ngeneral research report /dissertation/thesis requirements as outlined in Chapter 2.\n\" A critical review which locates the artefact/s within a coherent theoretical framework and field/s of study.\n\nKeywords: all, artefact/s, article, article/chapter, articles, brief, chapter, coherent, conclusion, must, research, review"}
+{"kb_id": "RAGKB-0076", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00076", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 8", "pages": [141], "chunk_index": 8, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["article", "chapter", "conclusion", "discussion", "general", "introduction", "list", "literature", "methodology", "references", "results", "review"], "retrieval_tags": [], "source_text": "Table 1.2: The general structure that follows the article style format\nPreliminary\nTitle Page\nOriginal Literary Work Declaration\nAbstract\nAbstrak\n‘Acknowledgements\nTable of Contents\nList of Figures\nList of Tables\nList of Symbols and Abbreviations\nList of Appendices\nMain Body\nChapter 1: General Introduction\nChapter 2: Literature Review\nChapter 3: Article 1*\n3.1 Introduction\n3.2 Literature Review\n3.3 Methodology\n3.4 Results\n3.5 Discussion\n3.6 Conclusion\nChapter 4: Article 2*\n4.1 Introduction\n4.2 Literature Review\n4.3 Methodology\n44 Results\n4.5 Discussion\n4.6 Conclusion\nChapter 5: Article 3*\n5.1 Introduction\n5.2 Literature Review\n5.3 Methodology\n5.4 Results\n5.5 Discussion\n5.6 Conclusion\nChapter 6: Conclusion\nReferences (A consolidated list of references for all chapters)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nTable 1.2: The general structure that follows the article style format\nPreliminary\nTitle Page\nOriginal Literary Work Declaration\nAbstract\nAbstrak\n‘Acknowledgements\nTable of Contents\nList of Figures\nList of Tables\nList of Symbols and Abbreviations\nList of Appendices\nMain Body\nChapter 1: General Introduction\nChapter 2: Literature Review\nChapter 3: Article 1*\n3.1 Introduction\n3.2 Literature Review\n3.3 Methodology\n3.4 Results\n3.5 Discussion\n3.6 Conclusion\nChapter 4: Article 2*\n4.1 Introduction\n4.2 Literature Review\n4.3 Methodology\n44 Results\n4.5 Discussion\n4.6 Conclusion\nChapter 5: Article 3*\n5.1 Introduction\n5.2 Literature Review\n5.3 Methodology\n5.4 Results\n5.5 Discussion\n5.6 Conclusion\nChapter 6: Conclusion\nReferences (A consolidated list of references for all chapters)\n\nKeywords: article, chapter, conclusion, discussion, general, introduction, list, literature, methodology, references, results, review"}
+{"kb_id": "RAGKB-0077", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00077", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 9", "pages": [142], "chunk_index": 9, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["books", "doctoral", "format", "journals", "must", "papers", "phd", "publications", "published", "research", "submitted", "thesis"], "retrieval_tags": [], "source_text": "Note:\n*Article is written with a specific title which normally refers to the research\ndone\nSupplementary\n+ List of Publications and Papers Presented\n+ Appendices\n+ Co-authors Consent\n1.3. Format of Published Papers\nThe University also permits the presentation of thesis for the programme of Doctoral Degree\nby Research i.e. Doctor of Philosophy (PhD) in the format of published and/or submitted\npapers, where such papers have been published or accepted by high impact journals (e.g.\njournals indexed by Web of Science), monographs, books, research-based chapters in books\nand non-traditional research output [NTRO] such as electronic publications, policy paper,\ncreative works, artefacts, performance and exhibitions in the field, before or during the period\nof candidature (Table 1.3).\nPapers submitted as a PhD thesis must be based on a particular theme or focus and form a\ncohesive research write up. The quality of a thesis by published papers should be in accordance\nwith PhD-level research and must meet the criteria and outcomes established for a doctoral", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nNote:\n*Article is written with a specific title which normally refers to the research\ndone\nSupplementary\n+ List of Publications and Papers Presented\n+ Appendices\n+ Co-authors Consent\n1.3. Format of Published Papers\nThe University also permits the presentation of thesis for the programme of Doctoral Degree\nby Research i.e. Doctor of Philosophy (PhD) in the format of published and/or submitted\npapers, where such papers have been published or accepted by high impact journals (e.g.\njournals indexed by Web of Science), monographs, books, research-based chapters in books\nand non-traditional research output [NTRO] such as electronic publications, policy paper,\ncreative works, artefacts, performance and exhibitions in the field, before or during the period\nof candidature (Table 1.3).\nPapers submitted as a PhD thesis must be based on a particular theme or focus and form a\ncohesive research write up. The quality of a thesis by published papers should be in accordance\nwith PhD-level research and must meet the criteria and outcomes established for a doctoral\n\nKeywords: books, doctoral, format, journals, must, papers, phd, publications, published, research, submitted, thesis"}
+{"kb_id": "RAGKB-0078", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00078", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 10", "pages": [142], "chunk_index": 10, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["awards", "books", "journals", "may", "not", "number", "papers", "publication", "publications", "published", "research", "works"], "retrieval_tags": [], "source_text": "award. The following aspects should be taken into consideration before opting for this format\nof writing:\n(a) Type of Publications\nThe thesis may comprise published papers and/or manuscripts accepted for publication\nby high impact journals (e.g. journals indexed by Web of Science), monographs, books,\nresearch-based chapters in books and non-traditional research output [NTRO] such as\nelectronic publications, policy paper, creative works, artefacts, performance and\nexhibitions in the field which have not been used to obtain other awards or deemed a part\nof those awards.\n(b) Number of Publications\nFor candidates under the programme of Doctoral Degree by Retrospective or Prior\nPublication, the minimum number of publications or equivalent productions is at least five\n(5) and these works must be those published retrospectively within a period not exceeding\n10 years from the date of application. However, in some disciplines where a larger number\nof papers is required to meet the expectations of scope and quality in accordance with\nPhD-level research, the faculty may specify accordingly.\n(c", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\naward. The following aspects should be taken into consideration before opting for this format\nof writing:\n(a) Type of Publications\nThe thesis may comprise published papers and/or manuscripts accepted for publication\nby high impact journals (e.g. journals indexed by Web of Science), monographs, books,\nresearch-based chapters in books and non-traditional research output [NTRO] such as\nelectronic publications, policy paper, creative works, artefacts, performance and\nexhibitions in the field which have not been used to obtain other awards or deemed a part\nof those awards.\n(b) Number of Publications\nFor candidates under the programme of Doctoral Degree by Retrospective or Prior\nPublication, the minimum number of publications or equivalent productions is at least five\n(5) and these works must be those published retrospectively within a period not exceeding\n10 years from the date of application. However, in some disciplines where a larger number\nof papers is required to meet the expectations of scope and quality in accordance with\nPhD-level research, the faculty may specify accordingly.\n(c\n\nKeywords: awards, books, journals, may, not, number, papers, publication, publications, published, research, works"}
+{"kb_id": "RAGKB-0079", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00079", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 11", "pages": [142], "chunk_index": 11, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "and/or", "author", "authorship", "candidate", "candidates", "clearly", "co-authors", "consent", "equivalent", "must", "papers"], "retrieval_tags": [], "source_text": "Authorship\nWhere the papers have more than one author, the candidate must be the first author or\ncreator of five (5) of the published works or equivalent productions submitted with the\ncontributions of others clearly defined.\n(a) Co-authors Consent\nCandidates must obtain the consent from other co-authors for all papers and/or\nmanuscripts and/or publications or equivalent production used as part of their PhD thesis.\nic)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nAuthorship\nWhere the papers have more than one author, the candidate must be the first author or\ncreator of five (5) of the published works or equivalent productions submitted with the\ncontributions of others clearly defined.\n(a) Co-authors Consent\nCandidates must obtain the consent from other co-authors for all papers and/or\nmanuscripts and/or publications or equivalent production used as part of their PhD thesis.\nic)\n\nKeywords: all, and/or, author, authorship, candidate, candidates, clearly, co-authors, consent, equivalent, must, papers"}
+{"kb_id": "RAGKB-0080", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00080", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 12", "pages": [143], "chunk_index": 12, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accepted", "account", "can", "following", "papers", "production", "progress", "publications", "published", "research", "should", "thesis"], "retrieval_tags": [], "source_text": "The consent can be in the form of a verification from the journal publisher or letter or email\ncommunication with the co-authors.\n(e) Structure of Thesis\nThe thesis in the format of published papers shall consist of the following:\nAn abstract, which summarises the most important findings presented in each\npublished paper or accepted manuscript or equivalent production. It should indicate\nhow the included works are thematically linked or tied to a particular research\nframework and how, when considered together, they contribute significantly to\nknowledge in the discipline.\nThe Introduction chapter should include the following:\n\"= description of research problem investigated;\n= objectives of the study;\n* list of publications and/or accepted manuscripts or production;\n= the account of research progress linking the publications.\nThe account of research progress must link together the various papers or\nproduction submitted as part of the thesis so that the reader can understand the\nlogic behind the progression of the research programme.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe consent can be in the form of a verification from the journal publisher or letter or email\ncommunication with the co-authors.\n(e) Structure of Thesis\nThe thesis in the format of published papers shall consist of the following:\nAn abstract, which summarises the most important findings presented in each\npublished paper or accepted manuscript or equivalent production. It should indicate\nhow the included works are thematically linked or tied to a particular research\nframework and how, when considered together, they contribute significantly to\nknowledge in the discipline.\nThe Introduction chapter should include the following:\n\"= description of research problem investigated;\n= objectives of the study;\n* list of publications and/or accepted manuscripts or production;\n= the account of research progress linking the publications.\nThe account of research progress must link together the various papers or\nproduction submitted as part of the thesis so that the reader can understand the\nlogic behind the progression of the research programme.\n\nKeywords: accepted, account, can, following, papers, production, progress, publications, published, research, should, thesis"}
+{"kb_id": "RAGKB-0081", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00081", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 13", "pages": [143], "chunk_index": 13, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["any", "author", "chapter", "contribution", "literature", "must", "production", "publication", "published", "relevant", "research", "review"], "retrieval_tags": [], "source_text": "The Literature Review chapter must contain, in accordance with the relevant\ndiscipline’s norms, a critical review of relevant literature, identify the knowledge gaps\nand the relationship of the literature to the area of research.\nThe Methodology chapter (where applicable).\nThe core chapter of the thesis consist of the published papers or accepted\nmanuscripts or production in their original publication format and should NOT be\nretyped or reformatted. They must be presented coherently in the thesis according\nto the requirement of the University of Malaya (Doctoral Degree) Regulations (latest\nversion), including any accompanying declarations. The following must be indicated\nfor any jointly written paper:\n= Acknowledgment of co-authors and verification of originality.\n= Aclear statement of the contribution made by each author in any joint published\nwork or equivalent production. For example, a statement of contribution from a\n3-author academic research publication is as follows:\nTang, J.M.Y., Adli, D.S.H., & Belabut, D. (2011). Histological development", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe Literature Review chapter must contain, in accordance with the relevant\ndiscipline’s norms, a critical review of relevant literature, identify the knowledge gaps\nand the relationship of the literature to the area of research.\nThe Methodology chapter (where applicable).\nThe core chapter of the thesis consist of the published papers or accepted\nmanuscripts or production in their original publication format and should NOT be\nretyped or reformatted. They must be presented coherently in the thesis according\nto the requirement of the University of Malaya (Doctoral Degree) Regulations (latest\nversion), including any accompanying declarations. The following must be indicated\nfor any jointly written paper:\n= Acknowledgment of co-authors and verification of originality.\n= Aclear statement of the contribution made by each author in any joint published\nwork or equivalent production. For example, a statement of contribution from a\n3-author academic research publication is as follows:\nTang, J.M.Y., Adli, D.S.H., & Belabut, D. (2011). Histological development\n\nKeywords: any, author, chapter, contribution, literature, must, production, publication, published, relevant, research, review"}
+{"kb_id": "RAGKB-0082", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00082", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 14", "pages": [144], "chunk_index": 14, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": ["What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "Could you tell me what front matter, chapters, or reference components are expected in the thesis preparation guidelines?"], "matched_qa_ids": ["qa_000276", "qa_000833"], "grounded_answer_bank": ["The guidelines expect standard front matter, main research chapters, and a references section that lists the works cited in the thesis or dissertation."], "retrieval_keywords": ["adli", "all", "chapter", "chapters", "conclusion", "data", "findings", "front matter", "manuscript", "papers", "published", "references", "theses", "thesis", "works"], "retrieval_tags": ["postgraduate", "research_guidance", "thesis_preparation_guidelines"], "source_text": "Microhyla heymonsi (Amphibia: Anura). Malaysian Journal of Science,\n29(1), 11-18.\nTang, J.M.Y. participated in all experiments, coordinated the data analysis\nand contributed to the writing of the manuscript. Adli, D.S.H. supervised\nthe development of work and edited the manuscript. Belabut, D. gave\ntechnical support and conceptual advice, and helped in data\ninterpretation.\n() The Discussion chapter explains the cumulative effect of the papers, the\nsignificance of the findings and the knowledge claimed in the thesis.\n(a The Conclusion summarizes the findings in all published works or equivalent\nproduction and suggests the future direction for research.\n“ The References chapter lists all works and sources that are cited in the Introduction,\nLiterature Review and Conclusion chapters.\nIn general, the examination process for theses in the format of published papers is similar to\nthat of conventional theses. However the aspects of thesis being evaluated by the examiners\nmay slightly differ.\nCandidates under the programme of Doctoral Degree by Retrospective or Prior", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nQuestion variants:\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- Could you tell me what front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n\nGrounded answer bank:\n- The guidelines expect standard front matter, main research chapters, and a references section that lists the works cited in the thesis or dissertation.\n\nSource chunk text:\nMicrohyla heymonsi (Amphibia: Anura). Malaysian Journal of Science,\n29(1), 11-18.\nTang, J.M.Y. participated in all experiments, coordinated the data analysis\nand contributed to the writing of the manuscript. Adli, D.S.H. supervised\nthe development of work and edited the manuscript. Belabut, D. gave\ntechnical support and conceptual advice, and helped in data\ninterpretation.\n() The Discussion chapter explains the cumulative effect of the papers, the\nsignificance of the findings and the knowledge claimed in the thesis.\n(a The Conclusion summarizes the findings in all published works or equivalent\nproduction and suggests the future direction for research.\n“ The References chapter lists all works and sources that are cited in the Introduction,\nLiterature Review and Conclusion chapters.\nIn general, the examination process for theses in the format of published papers is similar to\nthat of conventional theses. However the aspects of thesis being evaluated by the examiners\nmay slightly differ.\nCandidates under the programme of Doctoral Degree by Retrospective or Prior\n\nKeywords: adli, all, chapter, chapters, conclusion, data, findings, front matter, manuscript, papers, published, references, theses, thesis, works"}
+{"kb_id": "RAGKB-0083", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00083", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 15", "pages": [145], "chunk_index": 15, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abbreviations", "appendices", "chapter", "introduction", "list", "literature", "paper", "papers", "published", "references", "review", "table"], "retrieval_tags": [], "source_text": "Table 1.3: The general structure that follows the format of published papers\nPreliminary\nTitle Page\nOriginal Literary Work Declaration\nAbstract\nAbstrak\n‘Acknowledgements\nTable of Contents\nList of Figures\nList of Tables\nList of Symbols and Abbreviations\nList of Appendices\nMain Body\nChapter 1: Introduction\nChapter 2: Literature Review\nChapter lethodology (where applicable)\nChapter 4: *Published Paper 1\n“Published Paper 2\n*Published Paper 3 and so on\n“Note: Authors’ contributions must be indicated for each published paper\nReferences (List of references for chapters of Introduction, Literature Review\nand Conclusion)\nSupplementary\nList of Publications and Papers Presented\nAppendices\nCo-authors Consent", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 15\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nTable 1.3: The general structure that follows the format of published papers\nPreliminary\nTitle Page\nOriginal Literary Work Declaration\nAbstract\nAbstrak\n‘Acknowledgements\nTable of Contents\nList of Figures\nList of Tables\nList of Symbols and Abbreviations\nList of Appendices\nMain Body\nChapter 1: Introduction\nChapter 2: Literature Review\nChapter lethodology (where applicable)\nChapter 4: *Published Paper 1\n“Published Paper 2\n*Published Paper 3 and so on\n“Note: Authors’ contributions must be indicated for each published paper\nReferences (List of references for chapters of Introduction, Literature Review\nand Conclusion)\nSupplementary\nList of Publications and Papers Presented\nAppendices\nCo-authors Consent\n\nKeywords: abbreviations, appendices, chapter, introduction, list, literature, paper, papers, published, references, review, table"}
+{"kb_id": "RAGKB-0084", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00084", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 16", "pages": [146], "chunk_index": 16, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "contents", "degree", "dissertation", "list", "main", "mode", "name", "page", "research", "table", "title"], "retrieval_tags": [], "source_text": "CHAPTER 2: SEQUENCE OF CONTENTS\nThe structure of the research report, dissertation or thesis is based on a standard format which\ncontains the three main sections; Preliminary, Main Body and Supplementary.\n241 Preliminary\nThis section consists in order of the following:\n+ Title Page\n+ Original Literary Work Declaration Form\n+ Abstract\n» Abstrak\n+ Acknowledgements\n+ Table of Contents\n+ List of Figures\n+ List of Tables\n+ List of Symbols and Abbreviations\n+ List of Appendices\n2.1.1\nTitle Page\nThe title page is the first page after the front cover and should include:\n(@ The final research title which has been approved by the faculty;\n(0) Name of candidate according to the registration records;\n(© Astatement according to the mode of programme (Table 2.1); and\n(@ The year of submission.\nTable 2.1: Statement on Title Page according to mode of programme\nMaster's\nTHE REQUIREMENTS FOR\nTHE DEGREE OF (Name\nof Programme)\nDEGREE OF (Name\nof Programme)\nDegree\nResearch report Dissertation (by Dissertation\n(by Coursework Mixed mode) (by Research)\nor by Clinical)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 16\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nCHAPTER 2: SEQUENCE OF CONTENTS\nThe structure of the research report, dissertation or thesis is based on a standard format which\ncontains the three main sections; Preliminary, Main Body and Supplementary.\n241 Preliminary\nThis section consists in order of the following:\n+ Title Page\n+ Original Literary Work Declaration Form\n+ Abstract\n» Abstrak\n+ Acknowledgements\n+ Table of Contents\n+ List of Figures\n+ List of Tables\n+ List of Symbols and Abbreviations\n+ List of Appendices\n2.1.1\nTitle Page\nThe title page is the first page after the front cover and should include:\n(@ The final research title which has been approved by the faculty;\n(0) Name of candidate according to the registration records;\n(© Astatement according to the mode of programme (Table 2.1); and\n(@ The year of submission.\nTable 2.1: Statement on Title Page according to mode of programme\nMaster's\nTHE REQUIREMENTS FOR\nTHE DEGREE OF (Name\nof Programme)\nDEGREE OF (Name\nof Programme)\nDegree\nResearch report Dissertation (by Dissertation\n(by Coursework Mixed mode) (by Research)\nor by Clinical)\n\nKeywords: according, contents, degree, dissertation, list, main, mode, name, page, research, table, title"}
+{"kb_id": "RAGKB-0085", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00085", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 17", "pages": [146], "chunk_index": 17, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["clinical", "coursework", "degree", "dissertation", "doctoral", "fulfilment", "name", "partial", "requirements", "research", "submitted", "thesis"], "retrieval_tags": [], "source_text": "RESEARCH REPORT DISSERTATION DISSERTATION\nSUBMITTED TO THE SUBMITTED IN PARTIAL SUBMITTED IN\n(name of the Faculty) FULFILMENT OF THE FULFILMENT OF THE\nUNIVERSITI MALAYA, IN REQUIREMENTS FOR REQUIREMENTS FOR\nPARTIAL FULFILMENT OF THE THE\nDEGREE OF (Name\nof Programme)\nDoctoral\nDegree\nDissertation (by Coursework Thesis Thesis (by\nor by Clinical) (by Mixed mode) Research)\nDISSERTATION SUBMITTED | THESIS SUBMITTED IN | THESIS SUBMITTED IN\nIN PARTIAL FULFILMENT OF | PARTIAL FULFILMENT OF | — FULFILMENT OF THE\nTHE REQUIREMENTS FOR | THE REQUIREMENTS FOR| REQUIREMENTS FOR\nTHE DEGREE OF (Name | THE DEGREE OF (Name of THE\nof Programme) Programme) DEGREE OF\n(Name of\nProgramme)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 17\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nRESEARCH REPORT DISSERTATION DISSERTATION\nSUBMITTED TO THE SUBMITTED IN PARTIAL SUBMITTED IN\n(name of the Faculty) FULFILMENT OF THE FULFILMENT OF THE\nUNIVERSITI MALAYA, IN REQUIREMENTS FOR REQUIREMENTS FOR\nPARTIAL FULFILMENT OF THE THE\nDEGREE OF (Name\nof Programme)\nDoctoral\nDegree\nDissertation (by Coursework Thesis Thesis (by\nor by Clinical) (by Mixed mode) Research)\nDISSERTATION SUBMITTED | THESIS SUBMITTED IN | THESIS SUBMITTED IN\nIN PARTIAL FULFILMENT OF | PARTIAL FULFILMENT OF | — FULFILMENT OF THE\nTHE REQUIREMENTS FOR | THE REQUIREMENTS FOR| REQUIREMENTS FOR\nTHE DEGREE OF (Name | THE DEGREE OF (Name of THE\nof Programme) Programme) DEGREE OF\n(Name of\nProgramme)\n\nKeywords: clinical, coursework, degree, dissertation, doctoral, fulfilment, name, partial, requirements, research, submitted, thesis"}
+{"kb_id": "RAGKB-0086", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00086", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 18", "pages": [147], "chunk_index": 18, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academy", "candidate", "centre", "dissertation", "fulfilment", "institute", "kuala", "lumpur", "name", "page", "requirements", "submitted"], "retrieval_tags": [], "source_text": "This page is the first page of Roman numeral page number but it is not numbered. The\ntext should be typed using font type Times New Roman, font size 14 with 1.15 pt. line\nspacing.\n(a) (b)\nITTLE OF DISSERTATION\nTITLE OF RESEARCH REPORT\nNAME OF CANDIDATE\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nSUBMITTED TO THE GRADUATE PARTIAL FULFILMENT OF THE\n“HOOL OF BUSINESS AND REQUIREMENTS FOR THE DEGREE\nACCOUNTANCY UNIVERSITI (OF MASTE\nMALAYA, IN PARTIAL FULFLMENT\nREQUIREMENTS FOR THE\nGREE OF MASTER OF BUSINESS son paeuy aye) acs\nADMINISTRATION NAME OF FACULTY / ACADEMY\nINSTITUTE /CENTRE\nUNIVERSITI MALAYA\n20x KUALA LUMPUR\n200x\n() @)\nTITLE OF DISSERTATION\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nFULFILMENT OF THE\nREQUIREMENTS FOR THE\nNAME OF FACULTY / ACADEMY /\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202x\nTITLE OF DISSERTATION\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nPARTIAL FULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE\nOF DOCTOR OF MANAGEMENT\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202x", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 18\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThis page is the first page of Roman numeral page number but it is not numbered. The\ntext should be typed using font type Times New Roman, font size 14 with 1.15 pt. line\nspacing.\n(a) (b)\nITTLE OF DISSERTATION\nTITLE OF RESEARCH REPORT\nNAME OF CANDIDATE\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nSUBMITTED TO THE GRADUATE PARTIAL FULFILMENT OF THE\n“HOOL OF BUSINESS AND REQUIREMENTS FOR THE DEGREE\nACCOUNTANCY UNIVERSITI (OF MASTE\nMALAYA, IN PARTIAL FULFLMENT\nREQUIREMENTS FOR THE\nGREE OF MASTER OF BUSINESS son paeuy aye) acs\nADMINISTRATION NAME OF FACULTY / ACADEMY\nINSTITUTE /CENTRE\nUNIVERSITI MALAYA\n20x KUALA LUMPUR\n200x\n() @)\nTITLE OF DISSERTATION\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nFULFILMENT OF THE\nREQUIREMENTS FOR THE\nNAME OF FACULTY / ACADEMY /\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202x\nTITLE OF DISSERTATION\nNAME OF CANDIDATE\nDISSERTATION SUBMITTED IN\nPARTIAL FULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE\nOF DOCTOR OF MANAGEMENT\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202x\n\nKeywords: academy, candidate, centre, dissertation, fulfilment, institute, kuala, lumpur, name, page, requirements, submitted"}
+{"kb_id": "RAGKB-0087", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00087", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 19", "pages": [148], "chunk_index": 19, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academy", "candidate", "centre", "clinical", "coursework", "degree", "dissertation", "doctoral", "master's", "name", "research", "thesis"], "retrieval_tags": [], "source_text": "Figure 2.1, continued\n(e)\nTITLE OF THESIS\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN PARTIAL\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE.\n‘OF DOCTOR OF PUBLIC HEALTH\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR,\n202x\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE\n‘OF DOCTOR OF PHILOSOPHY /\nMEDICINE\nNAME OF FACULTY / ACADEMY /\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202%\nFigure 2.1: Examples of title page\n(a) Master's research report by coursework and by clinical, (b) Master's dissertation by Mixed\nmode, (c) Master's dissertation by research, (d) Doctoral dissertation by coursework and by\nclinical, () Doctoral thesis by mixed mode, and (f) Doctoral thesis by research.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 19\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nFigure 2.1, continued\n(e)\nTITLE OF THESIS\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN PARTIAL\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE.\n‘OF DOCTOR OF PUBLIC HEALTH\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR,\n202x\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE\n‘OF DOCTOR OF PHILOSOPHY /\nMEDICINE\nNAME OF FACULTY / ACADEMY /\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202%\nFigure 2.1: Examples of title page\n(a) Master's research report by coursework and by clinical, (b) Master's dissertation by Mixed\nmode, (c) Master's dissertation by research, (d) Doctoral dissertation by coursework and by\nclinical, () Doctoral thesis by mixed mode, and (f) Doctoral thesis by research.\n\nKeywords: academy, candidate, centre, clinical, coursework, degree, dissertation, doctoral, master's, name, research, thesis"}
+{"kb_id": "RAGKB-0088", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00088", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 20", "pages": [149], "chunk_index": 20, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academy", "candidate", "centre", "clinical", "dissertation", "doctoral", "form", "master's", "name", "research", "thesis", "title"], "retrieval_tags": [], "source_text": "TITLE OF THESIS.\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN PARTIAL\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE.\nOF DOCTOR OF PUBLIC HEALTH\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR,\nTITLE OF THESIS\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN\n‘OF DOCTOR OF PHILOSOPHY /\nMEDICINE\nNAME OF FACULTY / ACADEMY.\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n7 202x,\nFigure 2.1: Examples of title page\n(a) Master's research report by coursework and by clinical, (b) Master's dissertation by Mixed\nmode, (c) Master's dissertation by research, (d) Doctoral dissertation by coursework and by\nclinical, (e) Doctoral thesis by mixed mode, and (f) Doctoral thesis by research\n2.1.2 Original Literary Work Declaration\nThis form must be completed by the candidate and signed by a witness (Supervisors\nor Head of Department/Deputy Dean of Postgraduate). The original signed form must\nbe included in all copies of the research report/dissertation/thesis. The form can be\ndownloaded from the MAYA website in two (2) languages (English and Bahasa", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 20\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nTITLE OF THESIS.\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN PARTIAL\nFULFILMENT OF THE\nREQUIREMENTS FOR THE DEGREE.\nOF DOCTOR OF PUBLIC HEALTH\nNAME OF FACULTY / ACADEMY\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR,\nTITLE OF THESIS\nNAME OF CANDIDATE\nTHESIS SUBMITTED IN\n‘OF DOCTOR OF PHILOSOPHY /\nMEDICINE\nNAME OF FACULTY / ACADEMY.\nINSTITUTE / CENTRE\nUNIVERSITI MALAYA\nKUALA LUMPUR\n7 202x,\nFigure 2.1: Examples of title page\n(a) Master's research report by coursework and by clinical, (b) Master's dissertation by Mixed\nmode, (c) Master's dissertation by research, (d) Doctoral dissertation by coursework and by\nclinical, (e) Doctoral thesis by mixed mode, and (f) Doctoral thesis by research\n2.1.2 Original Literary Work Declaration\nThis form must be completed by the candidate and signed by a witness (Supervisors\nor Head of Department/Deputy Dean of Postgraduate). The original signed form must\nbe included in all copies of the research report/dissertation/thesis. The form can be\ndownloaded from the MAYA website in two (2) languages (English and Bahasa\n\nKeywords: academy, candidate, centre, clinical, dissertation, doctoral, form, master's, name, research, thesis, title"}
+{"kb_id": "RAGKB-0089", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00089", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 21", "pages": [149], "chunk_index": 21, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["english", "form", "hence", "malaysia", "report/dissertation/thesis", "research", "versa", "version", "vice", "written"], "retrieval_tags": [], "source_text": "Malaysia). If the research report/dissertation/thesis is written in English, hence the\nEnglish version of the form is used and vice versa.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 21\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nMalaysia). If the research report/dissertation/thesis is written in English, hence the\nEnglish version of the form is used and vice versa.\n\nKeywords: english, form, hence, malaysia, report/dissertation/thesis, research, versa, version, vice, written"}
+{"kb_id": "RAGKB-0090", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00090", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 22", "pages": [151], "chunk_index": 22, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abstract", "also", "bahasa", "english", "language", "malaysia", "must", "not", "report/dissertation/thesis", "research", "should", "title"], "retrieval_tags": [], "source_text": "2.1.3 Abstract\nAn abstract is a short summary of the research report/dissertation/thesis. An abstract\nshould briefly describe the objectives of the research (problem statement), the\nsignificance of the research, research methodology, as well as the findings and\nconclusion of the research.\nThe Abstract page begins with the title of research report/dissertation/thesis (in\nuppercase) that is approved by the faculty. Candidates are not allowed to change the\ntitle without the approval of the faculty.\n‘An abstract must not exceed 500 words, typed in a single paragraph with double-\nspacing, and written in Bahasa Malaysia and English language. A maximum of five (5)\nkeywords should also be listed below the abstract (Figure 2.3).\nWhere the language of the thesis is other than Bahasa Malaysia [Malaysia] or English\n[United Kingdom], an abstract in that language must also be included. The sequence\nof abstracts is as follows:\n= For research report /dissertation/thesis written in Bahasa Malaysia, the abstract in\nBahasa Malaysia is followed by the English version.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 22\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n2.1.3 Abstract\nAn abstract is a short summary of the research report/dissertation/thesis. An abstract\nshould briefly describe the objectives of the research (problem statement), the\nsignificance of the research, research methodology, as well as the findings and\nconclusion of the research.\nThe Abstract page begins with the title of research report/dissertation/thesis (in\nuppercase) that is approved by the faculty. Candidates are not allowed to change the\ntitle without the approval of the faculty.\n‘An abstract must not exceed 500 words, typed in a single paragraph with double-\nspacing, and written in Bahasa Malaysia and English language. A maximum of five (5)\nkeywords should also be listed below the abstract (Figure 2.3).\nWhere the language of the thesis is other than Bahasa Malaysia [Malaysia] or English\n[United Kingdom], an abstract in that language must also be included. The sequence\nof abstracts is as follows:\n= For research report /dissertation/thesis written in Bahasa Malaysia, the abstract in\nBahasa Malaysia is followed by the English version.\n\nKeywords: abstract, also, bahasa, english, language, malaysia, must, not, report/dissertation/thesis, research, should, title"}
+{"kb_id": "RAGKB-0091", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00091", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 23", "pages": [151], "chunk_index": 23, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abstract", "arabic", "assigned", "bahasa", "dissertation/thesis", "english", "followed", "malaysia", "report", "research", "version", "written"], "retrieval_tags": [], "source_text": "* For research report /dissertation/thesis written in English, the abstract in English is\nfollowed by the Bahasa Malaysia version.\n= For research report /dissertation/thesis written in Arabic, the abstract in Arabic is\nfollowed by its version in Bahasa Malaysia and English.\nThe Abstract page is assigned Roman numeral \"ii\" and the following pages should be\nnumbered consecutively.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 23\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n* For research report /dissertation/thesis written in English, the abstract in English is\nfollowed by the Bahasa Malaysia version.\n= For research report /dissertation/thesis written in Arabic, the abstract in Arabic is\nfollowed by its version in Bahasa Malaysia and English.\nThe Abstract page is assigned Roman numeral \"ii\" and the following pages should be\nnumbered consecutively.\n\nKeywords: abstract, arabic, assigned, bahasa, dissertation/thesis, english, followed, malaysia, report, research, version, written"}
+{"kb_id": "RAGKB-0092", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00092", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 24", "pages": [152], "chunk_index": 24, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abstract", "across", "aesthetic", "atmosphere", "creation", "literary", "locations", "middle-earth", "place", "research", "space", "tolkien"], "retrieval_tags": [], "source_text": "[TITLE OF RESEARCH REPORT/DISSERTATION/THESIS]\nABSTRACT\nThe purpose of this aesthetic evaluation is two-fold. First, I examine J.R.R. Tolkien’s literary illustration of\nspace, place, and atmosphere in a series of locations across Middle-earth, I focus on the aesthetic facets of\nthe physical environments, the possible aesthetic experiences generated from the visual layers of landscapes\nand atmospheres, and finally, the philosophical implications obtained through the moments of reflection in\nthose locations. Second, I investigate the possibility of considering Tolkien’s depiction of space, place, and\natmosphere as literary artifacts and the construction of the whole Middle-earth as an act of antistic creation.\nThe theoretical framework of this doctoral research is formulated based on the combination of seven critical\ncriteria consisting of formalism, framing, historical/biographical information, imagination, the dialectical,\nengagement, and aesthetic creation theory taken from environmental aesthetics and art philosophy. ‘These", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 24\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n[TITLE OF RESEARCH REPORT/DISSERTATION/THESIS]\nABSTRACT\nThe purpose of this aesthetic evaluation is two-fold. First, I examine J.R.R. Tolkien’s literary illustration of\nspace, place, and atmosphere in a series of locations across Middle-earth, I focus on the aesthetic facets of\nthe physical environments, the possible aesthetic experiences generated from the visual layers of landscapes\nand atmospheres, and finally, the philosophical implications obtained through the moments of reflection in\nthose locations. Second, I investigate the possibility of considering Tolkien’s depiction of space, place, and\natmosphere as literary artifacts and the construction of the whole Middle-earth as an act of antistic creation.\nThe theoretical framework of this doctoral research is formulated based on the combination of seven critical\ncriteria consisting of formalism, framing, historical/biographical information, imagination, the dialectical,\nengagement, and aesthetic creation theory taken from environmental aesthetics and art philosophy. ‘These\n\nKeywords: abstract, across, aesthetic, atmosphere, creation, literary, locations, middle-earth, place, research, space, tolkien"}
+{"kb_id": "RAGKB-0093", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00093", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 25", "pages": [152], "chunk_index": 25, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accomplished", "act", "aesthetic", "aesthetically", "aesthetico-cultural", "allows", "can", "could", "environments", "literary", "middle-earth", "tolkien"], "retrieval_tags": [], "source_text": "critical terms are tools at hand in aesthetically determined forms of evaluation and appret\nion, Which allows:\nassessing the qualitative—lterary—landscapes fom multiisciplinary views to interpret their aesthetic and\nphilosophical significance. Results demonstrate that Middle-earth could be observed as an aesthetico-cultural\ntapestry on which Tolkien materialized his artistic, creative, moral, social, and environmental concerns\nregarding the grave era in which he lived. He accomplished this task through the depiction of perceptual\naesthetic dimensions of the literary environments. Therefore, Middle-earth could stand as more than a mere\nbackground of The Lord of the Rings; thus, the shaping of this imagined realm can be identified as an act of\nart creation. Further, the aesthetic decoration and juxtaposition of the physical environments and artifactual\nobjects in Middle-earth make them eligible to be viewed as literary artifacts. The findings of this research\ncan crucially contribute to our understanding of JR.R. Tolkien as a literary world-builder who externally", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 25\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\ncritical terms are tools at hand in aesthetically determined forms of evaluation and appret\nion, Which allows:\nassessing the qualitative—lterary—landscapes fom multiisciplinary views to interpret their aesthetic and\nphilosophical significance. Results demonstrate that Middle-earth could be observed as an aesthetico-cultural\ntapestry on which Tolkien materialized his artistic, creative, moral, social, and environmental concerns\nregarding the grave era in which he lived. He accomplished this task through the depiction of perceptual\naesthetic dimensions of the literary environments. Therefore, Middle-earth could stand as more than a mere\nbackground of The Lord of the Rings; thus, the shaping of this imagined realm can be identified as an act of\nart creation. Further, the aesthetic decoration and juxtaposition of the physical environments and artifactual\nobjects in Middle-earth make them eligible to be viewed as literary artifacts. The findings of this research\ncan crucially contribute to our understanding of JR.R. Tolkien as a literary world-builder who externally\n\nKeywords: accomplished, act, aesthetic, aesthetically, aesthetico-cultural, allows, can, could, environments, literary, middle-earth, tolkien"}
+{"kb_id": "RAGKB-0094", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00094", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 26", "pages": [152], "chunk_index": 26, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abstract", "acsthet", "aesthet", "aesthetic", "also", "artist", "arts", "could", "environmental", "landscapes", "middle-earth", "philosophical"], "retrieval_tags": [], "source_text": "depicted the landscapes of Middle-earth with aesthetic features and intemally elevated them with\nphilosophical dimensions to convey his moral, philosophical, artist\nand environmental messages. The\nresults could also assist scholars in arts and humanities in illuminating how the representation of imagined\ngeography could be utilized as a powerful aesthetic tool to demonstrate thought-provoking aesthet\nphilosophical spaces of contemplation\nKeywords: JRR. Tolkien, Middle-earth, literary Landscapes, Aesthetic Creation, Environmental\nAcsthet\nii)\nFigure 2.3: Example of abstract", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 26\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\ndepicted the landscapes of Middle-earth with aesthetic features and intemally elevated them with\nphilosophical dimensions to convey his moral, philosophical, artist\nand environmental messages. The\nresults could also assist scholars in arts and humanities in illuminating how the representation of imagined\ngeography could be utilized as a powerful aesthetic tool to demonstrate thought-provoking aesthet\nphilosophical spaces of contemplation\nKeywords: JRR. Tolkien, Middle-earth, literary Landscapes, Aesthetic Creation, Environmental\nAcsthet\nii)\nFigure 2.3: Example of abstract\n\nKeywords: abstract, acsthet, aesthet, aesthetic, also, artist, arts, could, environmental, landscapes, middle-earth, philosophical"}
+{"kb_id": "RAGKB-0095", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00095", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 27", "pages": [153], "chunk_index": 27, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["chapter", "chapters", "contains", "contents", "example", "figure", "figures", "list", "numbers", "page", "together", "topics"], "retrieval_tags": [], "source_text": "2.1.4\n2.1.5\n2.41.7\n2.18\nAcknowledgements\nMost research reports, dissertations or theses include a message to convey\nappreciation to those who have been involved and provided their assistance directly or\nindirectly in the preparation of the study.\nThis is optional and should not exceed a single page, which is numbered in Roman\nnumeral accordingly.\nTable of Contents\nThe Table of Contents lists the chapters, topics and sub-topics together with their page\nnumbers. Sub-topics and topics should be labelled according to the chapter, for\nexample:\nCHAPTER 1: TITLE\n1.1 Topic 1\n1.1.1 Sub-topic 1\nCHAPTER 2: TITLE.\n2.1 Topic 1\n2.1.4 Sub-topic 1\nThis numbering system provides a clear picture of the relationship between chapters\nand topics and shows how they are connected.\nList of Figures\nThis list contains the titles of figures, together with their page numbers, which are found\nthroughout the text. For example, figures in Chapter 1 are numbered sequentially:\nFigure 1.1, Figure 1.2 and so on.\nList of Tables\nThis list contains the titles of tables, together with their page numbers, which are listed", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 27\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n2.1.4\n2.1.5\n2.41.7\n2.18\nAcknowledgements\nMost research reports, dissertations or theses include a message to convey\nappreciation to those who have been involved and provided their assistance directly or\nindirectly in the preparation of the study.\nThis is optional and should not exceed a single page, which is numbered in Roman\nnumeral accordingly.\nTable of Contents\nThe Table of Contents lists the chapters, topics and sub-topics together with their page\nnumbers. Sub-topics and topics should be labelled according to the chapter, for\nexample:\nCHAPTER 1: TITLE\n1.1 Topic 1\n1.1.1 Sub-topic 1\nCHAPTER 2: TITLE.\n2.1 Topic 1\n2.1.4 Sub-topic 1\nThis numbering system provides a clear picture of the relationship between chapters\nand topics and shows how they are connected.\nList of Figures\nThis list contains the titles of figures, together with their page numbers, which are found\nthroughout the text. For example, figures in Chapter 1 are numbered sequentially:\nFigure 1.1, Figure 1.2 and so on.\nList of Tables\nThis list contains the titles of tables, together with their page numbers, which are listed\n\nKeywords: chapter, chapters, contains, contents, example, figure, figures, list, numbers, page, together, topics"}
+{"kb_id": "RAGKB-0096", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00096", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 28", "pages": [153], "chunk_index": 28, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abbreviations", "according", "accordingly", "advanced", "advised", "candidates", "chapter", "dictionary", "oxford", "symbols", "table", "text"], "retrieval_tags": [], "source_text": "in the text. The numbering system is according to chapter, for e.g.: tables in Chapter 1\nare numbered sequentially: Table 1.1, Table 1.2 and so on.\nList of Symbols and Abbreviations\nThe symbols, abbreviations, nomenclature and terminology that are used in the text\nmust be listed down accordingly.\nFor further information on spelling and abbreviations, candidates are advised to refer to\nthe latest edition of the Oxford Advanced Learner's Dictionary published by Oxford\nUniversity Press.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 28\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nin the text. The numbering system is according to chapter, for e.g.: tables in Chapter 1\nare numbered sequentially: Table 1.1, Table 1.2 and so on.\nList of Symbols and Abbreviations\nThe symbols, abbreviations, nomenclature and terminology that are used in the text\nmust be listed down accordingly.\nFor further information on spelling and abbreviations, candidates are advised to refer to\nthe latest edition of the Oxford Advanced Learner's Dictionary published by Oxford\nUniversity Press.\n\nKeywords: abbreviations, according, accordingly, advanced, advised, candidates, chapter, dictionary, oxford, symbols, table, text"}
+{"kb_id": "RAGKB-0097", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00097", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 29", "pages": [154], "chunk_index": 29, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "appendices", "body", "chapter", "chapters", "content", "conventions", "following", "must", "report/dissertation/thesis", "research", "titles"], "retrieval_tags": [], "source_text": "2.1.9 List of Appendices\nThis list is optional and contains the titles of appendices placed in the supplementary\nsection\n2.2 Main Body\nCandidates and supervisors should ensure that the text follows the agreed conventions of the\nindividual faculty. The main body in the research report/dissertation/thesis must be organized\nfollowing the guidelines as mentioned below:\n* Text must be organized in titled chapters.\nThe chapter titles must reflect the content of the chapter.\n« Every chapter must begin on a new page.\n* Chapters can be divided into sub-chapters with corresponding sub-titles.\n* Titles and sub-titles must be numbered.\nThere is no restriction on the total number of chapters in a research report/dissertation/thesis.\nThe number of chapters differs according to the field of study conducted by the candidate\nwhether it is science-based or social science-based. However the content of the chapters may\ndiffer according to the candidate's research or conventions of individual faculty.\nGenerally, a research report/dissertation/thesis will have the following basic structure:\n* INTRODUCTION", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 29\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n2.1.9 List of Appendices\nThis list is optional and contains the titles of appendices placed in the supplementary\nsection\n2.2 Main Body\nCandidates and supervisors should ensure that the text follows the agreed conventions of the\nindividual faculty. The main body in the research report/dissertation/thesis must be organized\nfollowing the guidelines as mentioned below:\n* Text must be organized in titled chapters.\nThe chapter titles must reflect the content of the chapter.\n« Every chapter must begin on a new page.\n* Chapters can be divided into sub-chapters with corresponding sub-titles.\n* Titles and sub-titles must be numbered.\nThere is no restriction on the total number of chapters in a research report/dissertation/thesis.\nThe number of chapters differs according to the field of study conducted by the candidate\nwhether it is science-based or social science-based. However the content of the chapters may\ndiffer according to the candidate's research or conventions of individual faculty.\nGenerally, a research report/dissertation/thesis will have the following basic structure:\n* INTRODUCTION\n\nKeywords: according, appendices, body, chapter, chapters, content, conventions, following, must, report/dissertation/thesis, research, titles"}
+{"kb_id": "RAGKB-0098", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00098", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 30", "pages": [154], "chunk_index": 30, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["account", "chapters", "comprehensive", "critical", "introduction", "literature", "relevant", "research", "review", "structure", "study", "topic"], "retrieval_tags": [], "source_text": "* LITERATURE REVIEW\n* METHODOLOGY\n* RESULTS\n* DISCUSSION\n* CONCLUSION\n* REFERENCES\nItems in the structure are divided into separate chapters and the descriptions of these chapters\nare as follows:\n22.1 Introduction\nThis chapter contains the introduction to the issues in which the research is concerned\nwith, the aims and objectives of the study, and the scope or outline of the research\napproach as well as the structure of the research report/dissertation/thesis.\n222 Literature Review\nAlliterature review is a description of the literature relevant to a particular field or topic\nof study. It consists of a critically written and comprehensive account of the published\nworks on a topic by accredited scholars and researchers. A critical literature review is a\ncritical assessment of the relevant literature. It is directly related to the research,\nproviding information on theories, models, materials and techniques used in the\nresearch. The literature review should be comprehensive and include recent\npublications which are relevant to the research.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 30\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n* LITERATURE REVIEW\n* METHODOLOGY\n* RESULTS\n* DISCUSSION\n* CONCLUSION\n* REFERENCES\nItems in the structure are divided into separate chapters and the descriptions of these chapters\nare as follows:\n22.1 Introduction\nThis chapter contains the introduction to the issues in which the research is concerned\nwith, the aims and objectives of the study, and the scope or outline of the research\napproach as well as the structure of the research report/dissertation/thesis.\n222 Literature Review\nAlliterature review is a description of the literature relevant to a particular field or topic\nof study. It consists of a critically written and comprehensive account of the published\nworks on a topic by accredited scholars and researchers. A critical literature review is a\ncritical assessment of the relevant literature. It is directly related to the research,\nproviding information on theories, models, materials and techniques used in the\nresearch. The literature review should be comprehensive and include recent\npublications which are relevant to the research.\n\nKeywords: account, chapters, comprehensive, critical, introduction, literature, relevant, research, review, structure, study, topic"}
+{"kb_id": "RAGKB-0099", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00099", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 31", "pages": [155], "chunk_index": 31, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["chapter", "data", "explains", "findings", "include", "may", "methodology", "methods", "presented", "purpose", "research", "results"], "retrieval_tags": [], "source_text": "Methodology\nThis chapter describes and explains the materials as well as the research methodology\nused in the study. The sub-topics for this chapter include the key research questions,\nthe research design, and the research procedures adopted. It may also, where\nappropriate, indicate sampling methods, research instruments and statistical methods\nemployed. The purpose of this is to inform the reader on the methods used to collect\nthe data and generate the findings reported.\nResults\nThis chapter explains the results which are commonly presented in the form of text,\nfigures and tables, complete with data analysis.\nDiscussion\nThis chapter contains the interpretation of the results. The findings of the research\nshould be compared and contrasted with those of previous studies presented in the\nliterature review. The purpose of this chapter is to discuss the findings and the outcomes\nof the research in relation to the results that have been obtained.\nConclusion\nIn this chapter, the findings are summarized and their implications discussed. This\nsection may include suggestions for future work.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 31\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nMethodology\nThis chapter describes and explains the materials as well as the research methodology\nused in the study. The sub-topics for this chapter include the key research questions,\nthe research design, and the research procedures adopted. It may also, where\nappropriate, indicate sampling methods, research instruments and statistical methods\nemployed. The purpose of this is to inform the reader on the methods used to collect\nthe data and generate the findings reported.\nResults\nThis chapter explains the results which are commonly presented in the form of text,\nfigures and tables, complete with data analysis.\nDiscussion\nThis chapter contains the interpretation of the results. The findings of the research\nshould be compared and contrasted with those of previous studies presented in the\nliterature review. The purpose of this chapter is to discuss the findings and the outcomes\nof the research in relation to the results that have been obtained.\nConclusion\nIn this chapter, the findings are summarized and their implications discussed. This\nsection may include suggestions for future work.\n\nKeywords: chapter, data, explains, findings, include, may, methodology, methods, presented, purpose, research, results"}
+{"kb_id": "RAGKB-0100", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00100", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 32", "pages": [155], "chunk_index": 32, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "aesthetics", "alberto", "all", "format", "list", "must", "references", "research", "should", "stanford", "written"], "retrieval_tags": [], "source_text": "References\nAll works or studies referred to in the research report/dissertation/thesis in the form of\nquotations or citations must be included in the references.\nThe references should be written consistently according to the official citation guide\napproved by the faculty.\nAPA Format\nEach reference should be written in single spacing format and a double space should\nbe left between references. The list of references must be arranged in alphabetical\norder and theentries should not be numbered. The list must also have a hanging\nindentation of 0.5 inch. For example:\nWalmsley, Ben. (2019), Audience Engagement in the Performing Arts: A Critical\nAnalysis. Springer Nature.\nWreen, Michael. (2014) “Beardsley’s Aesthetics.” The Stanford Encyclopedia of\nPhilosophy, edited by Edward N. Zalta, Winter 2014, Metaphysics Research Lab,\nStanford University.\nTillson, Victoria G. (2010) \"A Nearly Invisible City: Rome in Alberto Moravia's\n1950s fiction.\" Annali d'Italianistica, 28: 237-256.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 32\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nReferences\nAll works or studies referred to in the research report/dissertation/thesis in the form of\nquotations or citations must be included in the references.\nThe references should be written consistently according to the official citation guide\napproved by the faculty.\nAPA Format\nEach reference should be written in single spacing format and a double space should\nbe left between references. The list of references must be arranged in alphabetical\norder and theentries should not be numbered. The list must also have a hanging\nindentation of 0.5 inch. For example:\nWalmsley, Ben. (2019), Audience Engagement in the Performing Arts: A Critical\nAnalysis. Springer Nature.\nWreen, Michael. (2014) “Beardsley’s Aesthetics.” The Stanford Encyclopedia of\nPhilosophy, edited by Edward N. Zalta, Winter 2014, Metaphysics Research Lab,\nStanford University.\nTillson, Victoria G. (2010) \"A Nearly Invisible City: Rome in Alberto Moravia's\n1950s fiction.\" Annali d'Italianistica, 28: 237-256.\n\nKeywords: according, aesthetics, alberto, all, format, list, must, references, research, should, stanford, written"}
+{"kb_id": "RAGKB-0101", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00101", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 33", "pages": [156], "chunk_index": 33, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["author", "biggest", "challenges", "classroom", "direct", "examples", "in-text", "last", "name", "publication", "reference", "year"], "retrieval_tags": [], "source_text": "Reference citations in text require the following information:\n+ last name of the author or as specified in the UM Library APA Formatting and Style\nGuide (latest edition),\n+ the year of publication,\n+ the page number for the reference (direct quotes only).\nFor summaries or paraphrases, the last name of the author and the year of publication\nmust be included for the in-text reference. For examples:\nKingston and Parker (2012) found the biggest challenges in classroom to be .\nThe biggest challenges in classroom were .... (Kingston & Parker, 2012).\nFor direct quotations (which refers to when the exact words of another author are\ncopied), the last name of the author, the year of publication as well as the page number\nfor the reference must be included for the in-text reference. The quotation has to be\nenclosed in quotation marks. For examples:\nIn Unfinished Tales of Numenor and Middle-earth (1980), Christopher writes\nthat his father illustrated mallom trees based on familiar Primary World species.\nGollum enter the damned land of Sauron. Tolkien describes the scenery from", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 33\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nReference citations in text require the following information:\n+ last name of the author or as specified in the UM Library APA Formatting and Style\nGuide (latest edition),\n+ the year of publication,\n+ the page number for the reference (direct quotes only).\nFor summaries or paraphrases, the last name of the author and the year of publication\nmust be included for the in-text reference. For examples:\nKingston and Parker (2012) found the biggest challenges in classroom to be .\nThe biggest challenges in classroom were .... (Kingston & Parker, 2012).\nFor direct quotations (which refers to when the exact words of another author are\ncopied), the last name of the author, the year of publication as well as the page number\nfor the reference must be included for the in-text reference. The quotation has to be\nenclosed in quotation marks. For examples:\nIn Unfinished Tales of Numenor and Middle-earth (1980), Christopher writes\nthat his father illustrated mallom trees based on familiar Primary World species.\nGollum enter the damned land of Sauron. Tolkien describes the scenery from\n\nKeywords: author, biggest, challenges, classroom, direct, examples, in-text, last, name, publication, reference, year"}
+{"kb_id": "RAGKB-0102", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00102", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 34", "pages": [156], "chunk_index": 34, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["among", "blind", "briar", "clambered", "dead", "down", "eyes", "groping", "hobbits", "lord", "painfully", "rings"], "retrieval_tags": [], "source_text": "the eyes of the hobbits and writes, “slowly and painfully they clambered down,\ngroping, stumbling, scrambling among rock and briar and dead wood in the\nblind shadows” (The Lord of the Rings, 917),", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 34\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nthe eyes of the hobbits and writes, “slowly and painfully they clambered down,\ngroping, stumbling, scrambling among rock and briar and dead wood in the\nblind shadows” (The Lord of the Rings, 917),\n\nKeywords: among, blind, briar, clambered, dead, down, eyes, groping, hobbits, lord, painfully, rings"}
+{"kb_id": "RAGKB-0103", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00103", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 35", "pages": [157], "chunk_index": 35, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["apa", "citation", "format", "geography", "guide", "library", "literary", "more", "other", "out", "space", "than"], "retrieval_tags": [], "source_text": "If the quoted citation contains more than 40 words, it should be placed within a\nparagraph of its own with a 0.5 inch indentation. For example:\nThacker could answer that question too when he contends that “since the early\n1990s questions of space and geography have become recognized as legitimate\nand important topics in many areas of literary and cultural studies, and setting out\nthe sphere of literature, if not life, by some form of map a more familiar\nhermeneutic strategy” (The Idea of a Critical Literary Geography, 57-8). Itis,\ntherefore, fruitful to carry out an analysis of Tolkien’s watercoloresque\nmelancholic visualization of space, place, and atmosphere and observe them as\nTolkien's critique of the destructive nature of modernity that parallels with\ncontemporary environmental concerns.\nPlease refer to the Universiti Malaya Library APA Formatting and Style Guide. The\nguide can be downloaded at UM Library website (https://umlibguides.um.edu.my)\nOther Citation Format\nFor reference citation in-text and list of references using other than the APA format,", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 35\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nIf the quoted citation contains more than 40 words, it should be placed within a\nparagraph of its own with a 0.5 inch indentation. For example:\nThacker could answer that question too when he contends that “since the early\n1990s questions of space and geography have become recognized as legitimate\nand important topics in many areas of literary and cultural studies, and setting out\nthe sphere of literature, if not life, by some form of map a more familiar\nhermeneutic strategy” (The Idea of a Critical Literary Geography, 57-8). Itis,\ntherefore, fruitful to carry out an analysis of Tolkien’s watercoloresque\nmelancholic visualization of space, place, and atmosphere and observe them as\nTolkien's critique of the destructive nature of modernity that parallels with\ncontemporary environmental concerns.\nPlease refer to the Universiti Malaya Library APA Formatting and Style Guide. The\nguide can be downloaded at UM Library website (https://umlibguides.um.edu.my)\nOther Citation Format\nFor reference citation in-text and list of references using other than the APA format,\n\nKeywords: apa, citation, format, geography, guide, library, literary, more, other, out, space, than"}
+{"kb_id": "RAGKB-0104", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00104", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 36", "pages": [157], "chunk_index": 36, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acs", "american", "appear", "associated", "been", "bibliographic", "biomolecular", "biotechnology", "cell", "citation", "cycle", "follows"], "retrieval_tags": [], "source_text": "please refer to the official citation guide associated. For example, in American\nChemistry Society (ACS) style, the citation format for in-text citation is as follows:\nThe mineralization of TCE by a pure culture of a methane-oxidizing organism has been reported (6)\nMeanwhile the list of reference that contains full bibliographic information at the end of\nthe research report/dissertation/thesis should appear as one numerical sequence in the\norder that the material is cited is as follows:\nReferences\n4. Hoppert, M. Microscopic Techniques in Biotechnology; Wiley-VCH: Weinheim, 2003; pp 145-158.\n5. Klinger, J. Influence of Pretreatment on Sodium Powder. Chem. Mater. 2005, 17, 2755-2768\n6. Ford H. L.; Sclafani R. A; Degregori J. Cell Cycle Regulatory Cascades. In Cell Cycle and Growth\nControl: Biomolecular Regulation and Cancer, 2nd ed.; Stein G. S., Pardee A. B., Eds.; Wiley-\nLiss: Hoboken, NJ, 2004; pp 42-67.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 36\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nplease refer to the official citation guide associated. For example, in American\nChemistry Society (ACS) style, the citation format for in-text citation is as follows:\nThe mineralization of TCE by a pure culture of a methane-oxidizing organism has been reported (6)\nMeanwhile the list of reference that contains full bibliographic information at the end of\nthe research report/dissertation/thesis should appear as one numerical sequence in the\norder that the material is cited is as follows:\nReferences\n4. Hoppert, M. Microscopic Techniques in Biotechnology; Wiley-VCH: Weinheim, 2003; pp 145-158.\n5. Klinger, J. Influence of Pretreatment on Sodium Powder. Chem. Mater. 2005, 17, 2755-2768\n6. Ford H. L.; Sclafani R. A; Degregori J. Cell Cycle Regulatory Cascades. In Cell Cycle and Growth\nControl: Biomolecular Regulation and Cancer, 2nd ed.; Stein G. S., Pardee A. B., Eds.; Wiley-\nLiss: Hoboken, NJ, 2004; pp 42-67.\n\nKeywords: acs, american, appear, associated, been, bibliographic, biomolecular, biotechnology, cell, citation, cycle, follows"}
+{"kb_id": "RAGKB-0105", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00105", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 37", "pages": [158], "chunk_index": 37, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["additional", "appendices", "can", "data", "included", "long", "materials", "not", "papers", "research", "section", "text"], "retrieval_tags": [], "source_text": "2.3. Supplementary\nSpecific items which were not included in the main body of the text, should be put in this\nSupplementary section. Typically, this section includes the following:\n234. List of Publications and Papers Presented\nPublished works as well as papers presented at conferences, seminars, symposiums\netc. pertaining to the research topic of the research report/dissertation/thesis are\nsuggested be included in this section. The first page of the article may also be\nappended as reference.\n232 Appendices\nAppendices consist of research instruments, additional illustration of data sources, raw\ndata and quoted citations which are too long to be placed in the text. The appendix\nsection supports the written text of the research report/dissertation/thesis by including\nmaterials that can provide additional information. These materials include research\ndata, tables, examples of questionnaires, maps, photos and other materials that are\ntoo long to be included in the text or are not directly required to comprehend the text\ncan be included as appendices.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 37\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n2.3. Supplementary\nSpecific items which were not included in the main body of the text, should be put in this\nSupplementary section. Typically, this section includes the following:\n234. List of Publications and Papers Presented\nPublished works as well as papers presented at conferences, seminars, symposiums\netc. pertaining to the research topic of the research report/dissertation/thesis are\nsuggested be included in this section. The first page of the article may also be\nappended as reference.\n232 Appendices\nAppendices consist of research instruments, additional illustration of data sources, raw\ndata and quoted citations which are too long to be placed in the text. The appendix\nsection supports the written text of the research report/dissertation/thesis by including\nmaterials that can provide additional information. These materials include research\ndata, tables, examples of questionnaires, maps, photos and other materials that are\ntoo long to be included in the text or are not directly required to comprehend the text\ncan be included as appendices.\n\nKeywords: additional, appendices, can, data, included, long, materials, not, papers, research, section, text"}
+{"kb_id": "RAGKB-0106", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00106", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 38", "pages": [158], "chunk_index": 38, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["appendices", "appendix", "copies", "font", "must", "paper", "printing", "quality", "report/dissertation/thesis", "research", "should", "typed"], "retrieval_tags": [], "source_text": "Tables and graphics that are more than two pages long are suggested to be included\nin the Appendix section\nAppendices are labelled as APPENDIX A, APPENDIX B, etc. and they should\ncorrespond to the List of Appendices of Preliminary section.\n233 Co-authors Consent\nPlease refer to 1.3 (d).\nCHAPTER 3: FORMAT SPECIFICATIONS\n3.1 Paper Quality, Printing and Duplicating\nThe research report/dissertation/thesis should be printed, single-sided, on high quality white\n‘A4 paper (201 x 297 mm; 80 grams). Computer pin-feed printout paper is not permitted.\nThe research report/dissertation/thesis, in soft cover copies, must be typed and duplicated by\noffset printing or good quality photocopying. All copies must be clean and neat in order to\nensure easy reading.\n3.2 Typing and Printing Quality\nTexts in research report/dissertation/thesis should be typed on one side of the paper only.\nThey must be typed using font type Times New Roman, font size 12 (except for tables and\nfigures) and justified, using Microsoft Word version (latest edition) or later, or similar word-", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 38\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nTables and graphics that are more than two pages long are suggested to be included\nin the Appendix section\nAppendices are labelled as APPENDIX A, APPENDIX B, etc. and they should\ncorrespond to the List of Appendices of Preliminary section.\n233 Co-authors Consent\nPlease refer to 1.3 (d).\nCHAPTER 3: FORMAT SPECIFICATIONS\n3.1 Paper Quality, Printing and Duplicating\nThe research report/dissertation/thesis should be printed, single-sided, on high quality white\n‘A4 paper (201 x 297 mm; 80 grams). Computer pin-feed printout paper is not permitted.\nThe research report/dissertation/thesis, in soft cover copies, must be typed and duplicated by\noffset printing or good quality photocopying. All copies must be clean and neat in order to\nensure easy reading.\n3.2 Typing and Printing Quality\nTexts in research report/dissertation/thesis should be typed on one side of the paper only.\nThey must be typed using font type Times New Roman, font size 12 (except for tables and\nfigures) and justified, using Microsoft Word version (latest edition) or later, or similar word-\n\nKeywords: appendices, appendix, copies, font, must, paper, printing, quality, report/dissertation/thesis, research, should, typed"}
+{"kb_id": "RAGKB-0107", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00107", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 39", "pages": [158], "chunk_index": 39, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advisable", "arabic", "different", "dissertation/thesis", "editor", "equation", "font", "fonts", "italics", "language", "latex", "use"], "retrieval_tags": [], "source_text": "processing software. Those written in Arabic should use font type Traditional Arabic in font\nsize 16. Words in a language that is different from the language of the research report\n/dissertation/thesis must be typed in italics. For mathematical texts, the use of Equation Editor\nor LaTeX is advisable. Script fonts are not permitted.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 39\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nprocessing software. Those written in Arabic should use font type Traditional Arabic in font\nsize 16. Words in a language that is different from the language of the research report\n/dissertation/thesis must be typed in italics. For mathematical texts, the use of Equation Editor\nor LaTeX is advisable. Script fonts are not permitted.\n\nKeywords: advisable, arabic, different, dissertation/thesis, editor, equation, font, fonts, italics, language, latex, use"}
+{"kb_id": "RAGKB-0108", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00108", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 40", "pages": [159], "chunk_index": 40, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["bottom", "chapter", "inch", "left", "line", "margin", "margins", "new", "only", "sentence", "should", "typed"], "retrieval_tags": [], "source_text": "Chapter titles should be typed with capital letters and centered between the left and right\nmargins. Each chapter must begin on a new page. Chapters and subchapters should be also\ntitled, Titles should be typed in bold without underline.\nA high-quality laser or ink-jet printer should be used for the printing.\n3.3. Line Spacing\nThe body of the text should be typed with double spacing. Single-spacing is only permitted in\ntables, long quotations, footnotes, citation and in the references.\nThe first sentence of a new paragraph should not start at the bottom of a page if the space\navailable can only fit one line.\n3.4 Margins\nThe text should have the following margins:\n* Top 0 cm or 0.79 inch\n« Right .0 cm or 0.79 inch\n° Left : 4.0 cm or 1.57 inch\n* Bottom : 2.0 cm or 0.79 inch\nAdditional guidelines regarding margin are as follows:\n+ Do not type more than one sentence after the bottom margin. If it is necessary to do so, it\n‘should only be for a footnote or the completion of the last sentence of the chapter, topic or\nsub-topic or information in a figure.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 40\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nChapter titles should be typed with capital letters and centered between the left and right\nmargins. Each chapter must begin on a new page. Chapters and subchapters should be also\ntitled, Titles should be typed in bold without underline.\nA high-quality laser or ink-jet printer should be used for the printing.\n3.3. Line Spacing\nThe body of the text should be typed with double spacing. Single-spacing is only permitted in\ntables, long quotations, footnotes, citation and in the references.\nThe first sentence of a new paragraph should not start at the bottom of a page if the space\navailable can only fit one line.\n3.4 Margins\nThe text should have the following margins:\n* Top 0 cm or 0.79 inch\n« Right .0 cm or 0.79 inch\n° Left : 4.0 cm or 1.57 inch\n* Bottom : 2.0 cm or 0.79 inch\nAdditional guidelines regarding margin are as follows:\n+ Do not type more than one sentence after the bottom margin. If it is necessary to do so, it\n‘should only be for a footnote or the completion of the last sentence of the chapter, topic or\nsub-topic or information in a figure.\n\nKeywords: bottom, chapter, inch, left, line, margin, margins, new, only, sentence, should, typed"}
+{"kb_id": "RAGKB-0109", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00109", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 41", "pages": [160], "chunk_index": 41, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "any", "font", "must", "numbering", "numbers", "numerals", "page", "paragraph", "placed", "punctuation", "should"], "retrieval_tags": [], "source_text": "3.5\nAll tables and figures must be placed within the specified margins.\nThe last paragraph of the page should contain at least two sentences. If it does not, the\nparagraph should begin on the next page.\nPage Numbering\nAll page numbers should be printed 1.0 cm from the bottom edge of the page and placed at\nthe\nright-hand side without any punctuation (Figure 3.1).\nThe page numbering system must conform to the following rules:\n3.6\nThe page numbers should be placed at the right-hand side without any punctuation.\nFont type Times New Roman and font size 10 recommended for numbers\nRoman numerals (i, ii, ili, ...) should be used in the Preliminary section, The first page of\nthe thesis, the title page, is an unnumbered page ‘i’. Numbering begins on the second page\nwith ‘ii’ for the Original Literary Work Declaration Form.\nArabic numerals (1, 2, 3, ...) are used on the pages of the text (starting with the Introduction\npage) and Supplementary section.\nLorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor;", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 41\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n3.5\nAll tables and figures must be placed within the specified margins.\nThe last paragraph of the page should contain at least two sentences. If it does not, the\nparagraph should begin on the next page.\nPage Numbering\nAll page numbers should be printed 1.0 cm from the bottom edge of the page and placed at\nthe\nright-hand side without any punctuation (Figure 3.1).\nThe page numbering system must conform to the following rules:\n3.6\nThe page numbers should be placed at the right-hand side without any punctuation.\nFont type Times New Roman and font size 10 recommended for numbers\nRoman numerals (i, ii, ili, ...) should be used in the Preliminary section, The first page of\nthe thesis, the title page, is an unnumbered page ‘i’. Numbering begins on the second page\nwith ‘ii’ for the Original Literary Work Declaration Form.\nArabic numerals (1, 2, 3, ...) are used on the pages of the text (starting with the Introduction\npage) and Supplementary section.\nLorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor;\n\nKeywords: all, any, font, must, numbering, numbers, numerals, page, paragraph, placed, punctuation, should"}
+{"kb_id": "RAGKB-0110", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00110", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 42", "pages": [160], "chunk_index": 42, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aliqua", "aliquip", "anim", "approximately", "arabic", "chapter", "chapters", "dolore", "level", "numbered", "numbering", "sub-chapters"], "retrieval_tags": [], "source_text": "incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud\ndolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\nexercitation ullameo laboris nisi ut aliquip ex ea commodo consequat, Duis aute inure} [Ip fine with text\nExcepteur sint occaecat cupidatat non proidpnt, sunt in culpa qui officia deserunt mollit\nanim id est laborum\n4] Approximately 1 em\nFigure 3.1: Placement of page number\nNumbering of Chapters and Sub-chapters\nChapters and sub-chapters must be numbered using Arabic numerals (1, 2, 3 etc).\nChapters are numbered CHAPTER 1, CHAPTER 2, CHAPTER 3, and so on. Sub-\nchapters are nested, but its numbering is not indented, up to a maximum of 4 levels as\nin the example shown below:\nCHAPTER 2: FIRST LEVEL (CHAPTER TITLE)\n2.1 Level 2 (sub-title);\n2.1.1 Level 3 (sub-sub-title);\n2.1.1.1 Level 4 (sub-sub-sub-title)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 42\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nincididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud\ndolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\nexercitation ullameo laboris nisi ut aliquip ex ea commodo consequat, Duis aute inure} [Ip fine with text\nExcepteur sint occaecat cupidatat non proidpnt, sunt in culpa qui officia deserunt mollit\nanim id est laborum\n4] Approximately 1 em\nFigure 3.1: Placement of page number\nNumbering of Chapters and Sub-chapters\nChapters and sub-chapters must be numbered using Arabic numerals (1, 2, 3 etc).\nChapters are numbered CHAPTER 1, CHAPTER 2, CHAPTER 3, and so on. Sub-\nchapters are nested, but its numbering is not indented, up to a maximum of 4 levels as\nin the example shown below:\nCHAPTER 2: FIRST LEVEL (CHAPTER TITLE)\n2.1 Level 2 (sub-title);\n2.1.1 Level 3 (sub-sub-title);\n2.1.1.1 Level 4 (sub-sub-sub-title)\n\nKeywords: aliqua, aliquip, anim, approximately, arabic, chapter, chapters, dolore, level, numbered, numbering, sub-chapters"}
+{"kb_id": "RAGKB-0111", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00111", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 43", "pages": [161], "chunk_index": 43, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["additional", "chapter", "footnotes", "however", "level", "must", "numbered", "research", "same", "sciences", "text", "use"], "retrieval_tags": [], "source_text": "3.7\nThe use of letters in parenthesis in the main body for e.g., (a), (b), (c) is appropriate as\na means of differentiating sub-topics of the same topic. However, it is not required to\nbe listed in the Table of Contents.\nIf a chapter title or chapter sub-title at any level exceeds a single line, the spacing\nbetween the lines must be the same as that of the text (double-spacing). Subsequent\nsub-chapters beyond the fourth nesting level must be numbered using alphabets; (a),\n(b), (c), and so on.\nFootnotes\nThere are differences in the use of footnotes in various disciplines. For example,\nfootnotes are commonly used in Social Sciences research but rarely in Sciences\nresearch. However, candidates are advised to limit the use of footnotes unless they are\nproved necessary to the document. Footnotes are used to elaborate or provide\nadditional information regarding matters discussed in that page.\nFootnotes are recorded using Arabic numeric and numbered consecutively. Raised\nsuperscript numerals in the text refer to explanatory notes and documented sources", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 43\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n3.7\nThe use of letters in parenthesis in the main body for e.g., (a), (b), (c) is appropriate as\na means of differentiating sub-topics of the same topic. However, it is not required to\nbe listed in the Table of Contents.\nIf a chapter title or chapter sub-title at any level exceeds a single line, the spacing\nbetween the lines must be the same as that of the text (double-spacing). Subsequent\nsub-chapters beyond the fourth nesting level must be numbered using alphabets; (a),\n(b), (c), and so on.\nFootnotes\nThere are differences in the use of footnotes in various disciplines. For example,\nfootnotes are commonly used in Social Sciences research but rarely in Sciences\nresearch. However, candidates are advised to limit the use of footnotes unless they are\nproved necessary to the document. Footnotes are used to elaborate or provide\nadditional information regarding matters discussed in that page.\nFootnotes are recorded using Arabic numeric and numbered consecutively. Raised\nsuperscript numerals in the text refer to explanatory notes and documented sources\n\nKeywords: additional, chapter, footnotes, however, level, must, numbered, research, same, sciences, text, use"}
+{"kb_id": "RAGKB-0112", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00112", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 44", "pages": [161], "chunk_index": 44, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advantage", "along", "bottom", "figure", "font", "footnote", "footnotes", "notes", "page", "philosophy", "should", "text"], "retrieval_tags": [], "source_text": "appearing either at the bottom of the page as footnotes or at the end of the thesis as\nendnotes in a notes section. The advantage of using notes is that explanatory type of\ninformation can be presented along with source citations on the same page or place.\nFootnotes should use a smaller font than the text (font size 8).\nWhen using footnote, a number formatted in superscript is inserted following the\npunctuation mark in the text. Footnotes should be placed at the bottom of the page on\nwhich they appear (Figure 3.2). Please refer to the faculty for the recommended\nconvention for writing of footnotes.\nWestern ideas of art, civilization, and philosophy was first discussed by Plato]\nin The Republic (381 BC).\n» Gardner,\nPress, 1999\nebastian. Routledge Philosophy Guidebook to Kant and the Critique of Pure Reason. Psychology\nFigure 3.2: Example of footnote", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 44\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nappearing either at the bottom of the page as footnotes or at the end of the thesis as\nendnotes in a notes section. The advantage of using notes is that explanatory type of\ninformation can be presented along with source citations on the same page or place.\nFootnotes should use a smaller font than the text (font size 8).\nWhen using footnote, a number formatted in superscript is inserted following the\npunctuation mark in the text. Footnotes should be placed at the bottom of the page on\nwhich they appear (Figure 3.2). Please refer to the faculty for the recommended\nconvention for writing of footnotes.\nWestern ideas of art, civilization, and philosophy was first discussed by Plato]\nin The Republic (381 BC).\n» Gardner,\nPress, 1999\nebastian. Routledge Philosophy Guidebook to Kant and the Critique of Pure Reason. Psychology\nFigure 3.2: Example of footnote\n\nKeywords: advantage, along, bottom, figure, font, footnote, footnotes, notes, page, philosophy, should, text"}
+{"kb_id": "RAGKB-0113", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00113", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 45", "pages": [162], "chunk_index": 45, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "appear", "body", "caption", "center", "chapter", "example", "figures", "should", "table", "tables", "text"], "retrieval_tags": [], "source_text": "3.8 Tables\nTables are printed within the body of the text at the center of the frame and labelled according\nto the chapter in which they appear. Thus, for example, tables in Chapter 3 are numbered\nsequentially: Table 3.1, Table 3.2 and so on.\nThe caption should be placed above the table itself (Table 3.1). If the table contains acitation,\nthe source of the reference should be included in the table caption.\nTable 3.1: Example of table\nHeading Heading\nText Text\nIf the table occupies more than one page, the continued table on the following page should\nindicate that it is a continuation, for example: ‘Table 3.7, continued’. The header row should\nalso be repeated.\n3.9 Figures\nFigures, like tables are printed within the body of the text at the center of the frame and labelled\naccording to the chapter in which they appear. Thus, for example, figures in Chapter 3 are\nnumbered sequentially: Figure 3.1, Figure 3.2.\nFigures, unlike text or tables, contain graphs, illustrations or photographs and their labels are", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 45\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n3.8 Tables\nTables are printed within the body of the text at the center of the frame and labelled according\nto the chapter in which they appear. Thus, for example, tables in Chapter 3 are numbered\nsequentially: Table 3.1, Table 3.2 and so on.\nThe caption should be placed above the table itself (Table 3.1). If the table contains acitation,\nthe source of the reference should be included in the table caption.\nTable 3.1: Example of table\nHeading Heading\nText Text\nIf the table occupies more than one page, the continued table on the following page should\nindicate that it is a continuation, for example: ‘Table 3.7, continued’. The header row should\nalso be repeated.\n3.9 Figures\nFigures, like tables are printed within the body of the text at the center of the frame and labelled\naccording to the chapter in which they appear. Thus, for example, figures in Chapter 3 are\nnumbered sequentially: Figure 3.1, Figure 3.2.\nFigures, unlike text or tables, contain graphs, illustrations or photographs and their labels are\n\nKeywords: according, appear, body, caption, center, chapter, example, figures, should, table, tables, text"}
+{"kb_id": "RAGKB-0114", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00114", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 46", "pages": [162], "chunk_index": 46, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["after", "bottom", "citation", "contains", "continuation", "continued", "example", "figure", "page", "placed", "should", "than"], "retrieval_tags": [], "source_text": "placed at the bottom of the figure rather than at the top (using the same format used for tables)\n(Figure 3.3).\n: |\nFexample\n20 \"\n‘Sample\nFigure 3.3: Example of figure\nIf the figure occupies more than one page, the continued figure on the following page should\nindicate that it is a continuation: for example: ‘Figure 3.7, continued’.\nIf the figure contains a citation, the source of the reference should be placed after the label.\nmm", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 46\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nplaced at the bottom of the figure rather than at the top (using the same format used for tables)\n(Figure 3.3).\n: |\nFexample\n20 \"\n‘Sample\nFigure 3.3: Example of figure\nIf the figure occupies more than one page, the continued figure on the following page should\nindicate that it is a continuation: for example: ‘Figure 3.7, continued’.\nIf the figure contains a citation, the source of the reference should be placed after the label.\nmm\n\nKeywords: after, bottom, citation, contains, continuation, continued, example, figure, page, placed, should, than"}
+{"kb_id": "RAGKB-0115", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00115", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 47", "pages": [163], "chunk_index": 47, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["blue", "bound", "colour", "copy", "cover", "dark", "figure", "hard", "maroon", "navy", "red", "research"], "retrieval_tags": [], "source_text": "3.10 Binding\nEach copy of the research reportidissertation/thesis submitted shall be bound in one (1)\nvolume. The thesis cover must be of A4 size (210mm x 297mm).\nFor the purpose of examination, research report/dissertation/thesis submitted should be soft\ncover or comb bound with the following colour (Figure 3.4)\n‘+ Research report: Navy blue\n‘* Dissertation: Dark red or maroon\n‘© Thesis: Dark red or maroon\nFor final submission prior to graduation, research report/dissertation/thesis submitted should\nbe compulsorily in soft copy or optionally in hard copy. If the faculty requires hard copy, the\ndocument should be hard cover bound in rexine with the following colour (Figure 3.5):\n‘* Research project: Navy blue\n‘* Dissertation: Dark red or maroon\n‘* Thesis: Dark red or maroon\nFront Cover Colour of Dissertation/Thesis (Dark red or maroon)\nFront Cover Colour of Research Report (Navy blue)\nFigure 3.4: Sample of softbound / comb bound copy for first submission for examination", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 47\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n3.10 Binding\nEach copy of the research reportidissertation/thesis submitted shall be bound in one (1)\nvolume. The thesis cover must be of A4 size (210mm x 297mm).\nFor the purpose of examination, research report/dissertation/thesis submitted should be soft\ncover or comb bound with the following colour (Figure 3.4)\n‘+ Research report: Navy blue\n‘* Dissertation: Dark red or maroon\n‘© Thesis: Dark red or maroon\nFor final submission prior to graduation, research report/dissertation/thesis submitted should\nbe compulsorily in soft copy or optionally in hard copy. If the faculty requires hard copy, the\ndocument should be hard cover bound in rexine with the following colour (Figure 3.5):\n‘* Research project: Navy blue\n‘* Dissertation: Dark red or maroon\n‘* Thesis: Dark red or maroon\nFront Cover Colour of Dissertation/Thesis (Dark red or maroon)\nFront Cover Colour of Research Report (Navy blue)\nFigure 3.4: Sample of softbound / comb bound copy for first submission for examination\n\nKeywords: blue, bound, colour, copy, cover, dark, figure, hard, maroon, navy, red, research"}
+{"kb_id": "RAGKB-0116", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00116", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 48", "pages": [164], "chunk_index": 48, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["blue", "copy", "dark", "dissertation", "example", "figure", "final", "hardbound", "maroon", "navy", "red", "report"], "retrieval_tags": [], "source_text": "(a)\nFigure 3.5: Samples of hardbound copy for final submission\n@ Example of hardbound thesis or dissertation (in dark red or maroon);\n(b) Example of hardbound research report (in navy blue)", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 48\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n(a)\nFigure 3.5: Samples of hardbound copy for final submission\n@ Example of hardbound thesis or dissertation (in dark red or maroon);\n(b) Example of hardbound research report (in navy blue)\n\nKeywords: blue, copy, dark, dissertation, example, figure, final, hardbound, maroon, navy, red, report"}
+{"kb_id": "RAGKB-0117", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00117", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 49", "pages": [165], "chunk_index": 49, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["arial", "author", "bold", "cover", "figure", "font", "front", "letters", "name", "printed", "research", "title"], "retrieval_tags": [], "source_text": "The title of research report/dissertationAhesis, name of author, name of the University\nand year of submission must be printed on the front cover. The letters for the Front\nCover should be printed in gold letterings of font size 16, font type Arial Narrow,\nbold and in uppercase letters (Figure 3.6 and 3.7).\nTITLE OF RESEARCH PROJECT |\n——_— DISSERTATION | THESIS <I\nNAME OF CANDIDATE\nFACULTY OF ...\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202K\nFigure 3.6: Formatting of the front cover of research report/dissertation/thesis\nmm", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 49\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe title of research report/dissertationAhesis, name of author, name of the University\nand year of submission must be printed on the front cover. The letters for the Front\nCover should be printed in gold letterings of font size 16, font type Arial Narrow,\nbold and in uppercase letters (Figure 3.6 and 3.7).\nTITLE OF RESEARCH PROJECT |\n——_— DISSERTATION | THESIS <I\nNAME OF CANDIDATE\nFACULTY OF ...\nUNIVERSITI MALAYA\nKUALA LUMPUR\n202K\nFigure 3.6: Formatting of the front cover of research report/dissertation/thesis\nmm\n\nKeywords: arial, author, bold, cover, figure, font, front, letters, name, printed, research, title"}
+{"kb_id": "RAGKB-0118", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00118", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 50", "pages": [166], "chunk_index": 50, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approved", "bold", "candidate", "cover", "dissertationithesis", "example", "facultyiacademy", "figure", "fontarial", "front", "registered", "research"], "retrieval_tags": [], "source_text": "‘TITLE OF RESEARCH\nTHATIS APPROVED.\nBY THE FACULTY\nGOLD LETTERING, . NAME OF\nFONTARIAL ee a CANDIDATE AS\nNARROW, SIZE 16 REGISTERED WITH\nBOLD, 1.15 PT. LINE THE UNIVERSITY\nSPACING\nFACULTYIACADEMY!\nINSTITUTE/CENTRE\nWHERE CANDIDATE\nIS REGISTERED\nYEAR OF\n‘SUBMISSION.\nFigure 3.7: Example of the front cover of research report!\ndissertationithesis", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 50\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n‘TITLE OF RESEARCH\nTHATIS APPROVED.\nBY THE FACULTY\nGOLD LETTERING, . NAME OF\nFONTARIAL ee a CANDIDATE AS\nNARROW, SIZE 16 REGISTERED WITH\nBOLD, 1.15 PT. LINE THE UNIVERSITY\nSPACING\nFACULTYIACADEMY!\nINSTITUTE/CENTRE\nWHERE CANDIDATE\nIS REGISTERED\nYEAR OF\n‘SUBMISSION.\nFigure 3.7: Example of the front cover of research report!\ndissertationithesis\n\nKeywords: approved, bold, candidate, cover, dissertationithesis, example, facultyiacademy, figure, fontarial, front, registered, research"}
+{"kb_id": "RAGKB-0119", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00119", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 51", "pages": [167], "chunk_index": 51, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["can", "figure", "format", "limit", "report/dissertation/thesis", "research", "spine", "submission", "title", "word", "words", "year"], "retrieval_tags": [], "source_text": "The spine of the manuscripts should show the title of research report/dissertation/thesis, name\nof author, year of submission and name of degree. The year of submission must be in\naccordance with the year when the research report/dissertation/thesis is submitted (Figure3.8\nand 3.9), If the title of the research report/dissertation/thesis exceeds the space of the spine,\na smaller font size can be used (i.e. font size 16 to 14) or alternatively the title can be truncated\nwith ellipses (...) (Figure 3.10)\nPRIVATIZATION IN ALGERIA: POLICY AND PhD\n‘AMIR GHORRANL PERFORMANCE 2017\nFigure 3.8: Spine format\nAYANPAUL\nFigure 3.9: Example of spine format\nTHE EFFECT OF GEOGRAPHICAL REGION ON rn)\nKWONG SIU YEE THE TRANSITION TIME OF CMMI-BASED ... 2017\nFigure 3.10: Spine format for long title\n3.11. Word Limit\nThe maximum word limit for a submission for examination is shown in Table 3.2.\nTable 3.2: Maximum word limit\nMaster's Programme\nResearch Report Dissertation (by Dissertation\n(by Coursework Mixed mode) (by\nor by Clinical) Research)\n30,000 words 40,000 words 60,000 words\nDoctoral Programme", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 51\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe spine of the manuscripts should show the title of research report/dissertation/thesis, name\nof author, year of submission and name of degree. The year of submission must be in\naccordance with the year when the research report/dissertation/thesis is submitted (Figure3.8\nand 3.9), If the title of the research report/dissertation/thesis exceeds the space of the spine,\na smaller font size can be used (i.e. font size 16 to 14) or alternatively the title can be truncated\nwith ellipses (...) (Figure 3.10)\nPRIVATIZATION IN ALGERIA: POLICY AND PhD\n‘AMIR GHORRANL PERFORMANCE 2017\nFigure 3.8: Spine format\nAYANPAUL\nFigure 3.9: Example of spine format\nTHE EFFECT OF GEOGRAPHICAL REGION ON rn)\nKWONG SIU YEE THE TRANSITION TIME OF CMMI-BASED ... 2017\nFigure 3.10: Spine format for long title\n3.11. Word Limit\nThe maximum word limit for a submission for examination is shown in Table 3.2.\nTable 3.2: Maximum word limit\nMaster's Programme\nResearch Report Dissertation (by Dissertation\n(by Coursework Mixed mode) (by\nor by Clinical) Research)\n30,000 words 40,000 words 60,000 words\nDoctoral Programme\n\nKeywords: can, figure, format, limit, report/dissertation/thesis, research, spine, submission, title, word, words, year"}
+{"kb_id": "RAGKB-0120", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00120", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 52", "pages": [167], "chunk_index": 52, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["clinical", "coursework", "dissertation", "mixed", "mode", "research", "thesis", "words"], "retrieval_tags": [], "source_text": "Dissertation (by Thesis Thesis (by\nCoursework or (by Mixed Research)\nby Clinical) mode)\n60,000 words 80,000 words 100,000 words", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 52\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nDissertation (by Thesis Thesis (by\nCoursework or (by Mixed Research)\nby Clinical) mode)\n60,000 words 80,000 words 100,000 words\n\nKeywords: clinical, coursework, dissertation, mixed, mode, research, thesis, words"}
+{"kb_id": "RAGKB-0121", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00121", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 53", "pages": [168], "chunk_index": 53, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["any", "candidate", "group", "limit", "may", "other", "part", "research", "university", "word", "work", "working"], "retrieval_tags": [], "source_text": "The minimum word limit is determined by the faculty or based on the programme standards\naccording to their respective discipline (if any). The maximum length of words excludes\nfootnotes, references, appendices, tables, figures and prefaces.\nCandidates who are unable to meet the word limit set by the University must seek approval\nfrom the faculty at least one month before the submission of research report\nIdissertation/thesis for examination.\n3.12 Other Information\nA candidate may not resubmit previous research work which he has submitted to this or any\nother university for the award of a degree. The candidate may, however, incorporate any part\nof such work, provided that there is a clear indication in the research report/dissertationithesis\nof its sources.\nThe candidate may also include any other printed or published work by an individual or a\nworking group to validate his findings. Where the contribution is from a working group, the\ncandidate is required to provide a statement indicating which part of the work was carried out", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 53\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe minimum word limit is determined by the faculty or based on the programme standards\naccording to their respective discipline (if any). The maximum length of words excludes\nfootnotes, references, appendices, tables, figures and prefaces.\nCandidates who are unable to meet the word limit set by the University must seek approval\nfrom the faculty at least one month before the submission of research report\nIdissertation/thesis for examination.\n3.12 Other Information\nA candidate may not resubmit previous research work which he has submitted to this or any\nother university for the award of a degree. The candidate may, however, incorporate any part\nof such work, provided that there is a clear indication in the research report/dissertationithesis\nof its sources.\nThe candidate may also include any other printed or published work by an individual or a\nworking group to validate his findings. Where the contribution is from a working group, the\ncandidate is required to provide a statement indicating which part of the work was carried out\n\nKeywords: any, candidate, group, limit, may, other, part, research, university, word, work, working"}
+{"kb_id": "RAGKB-0122", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00122", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 54", "pages": [168], "chunk_index": 54, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accompanied", "all", "allowed", "degree", "must", "papers", "publish", "publishers", "research", "statement", "work", "wos"], "retrieval_tags": [], "source_text": "by the candidate. The statement should be signed by the rest of the group indicating their\nconsent (this may be included in the Appendix).\nApproved research report/dissertationsitheses or parts of their content are allowed for\npublication if they are accompanied by a statement that the work was conducted towards the\nfulfilment of a particular degree.\nCandidates of Doctoral degree (all modes) and Master's by research are required to publish\npapers in Web of Science (WoS) or Scopus or \"Category A or B refereed journals or book or\nSpook chapters publish by publishers listed in the WoS, Universiti Malaya Press, or Dewan\nBahasa dan Pustaka or any publishers recognized by the Faculty. Publications must be based\non the work during the course of study, and due reference must be made to the University\nassociated guidelines and requirements in all such papers.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 54\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nby the candidate. The statement should be signed by the rest of the group indicating their\nconsent (this may be included in the Appendix).\nApproved research report/dissertationsitheses or parts of their content are allowed for\npublication if they are accompanied by a statement that the work was conducted towards the\nfulfilment of a particular degree.\nCandidates of Doctoral degree (all modes) and Master's by research are required to publish\npapers in Web of Science (WoS) or Scopus or \"Category A or B refereed journals or book or\nSpook chapters publish by publishers listed in the WoS, Universiti Malaya Press, or Dewan\nBahasa dan Pustaka or any publishers recognized by the Faculty. Publications must be based\non the work during the course of study, and due reference must be made to the University\nassociated guidelines and requirements in all such papers.\n\nKeywords: accompanied, all, allowed, degree, must, papers, publish, publishers, research, statement, work, wos"}
+{"kb_id": "RAGKB-0123", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00123", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 55", "pages": [169], "chunk_index": 55, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approval", "candidates", "documents", "done", "examination", "formatting", "may", "postgraduate", "required", "requirements", "research", "submission"], "retrieval_tags": [], "source_text": "CHAPTER 4: SUBMISSION\n44 Prior to Submission\nPostgraduate candidates are required to obtain approval from the supervisor(s) and faculty via\nMAYA before online submission. This is to allow timely nomination of examiners for research\nreport/dissertation/thesis.\nSubmission of research report/dissertationithesis for examination has to be done within the\ncandidature period after title approval by the faculty.\nCandidates are strongly advised against copying the formatting done by other candidates as\npreviously submitted research reportidissertation/thesis may not conform to the current\nformatting requirements. Failure to meet the formatting requirements may resutt in a research\nrepottithesis/dissertation being rejected at the point of submission.\nPostgraduate candidates shall submit at least one (1) electronic PDF copy of their research\nreport/dissertations/theses to the Postgraduate Officer of the respective faculty.\n4.2 Required Documents for Submission\n42.1 Documents required for submission for the purpose of examination are as\nfollows:", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 55\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nCHAPTER 4: SUBMISSION\n44 Prior to Submission\nPostgraduate candidates are required to obtain approval from the supervisor(s) and faculty via\nMAYA before online submission. This is to allow timely nomination of examiners for research\nreport/dissertation/thesis.\nSubmission of research report/dissertationithesis for examination has to be done within the\ncandidature period after title approval by the faculty.\nCandidates are strongly advised against copying the formatting done by other candidates as\npreviously submitted research reportidissertation/thesis may not conform to the current\nformatting requirements. Failure to meet the formatting requirements may resutt in a research\nrepottithesis/dissertation being rejected at the point of submission.\nPostgraduate candidates shall submit at least one (1) electronic PDF copy of their research\nreport/dissertations/theses to the Postgraduate Officer of the respective faculty.\n4.2 Required Documents for Submission\n42.1 Documents required for submission for the purpose of examination are as\nfollows:\n\nKeywords: approval, candidates, documents, done, examination, formatting, may, postgraduate, required, requirements, research, submission"}
+{"kb_id": "RAGKB-0124", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00124", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 56", "pages": [169], "chunk_index": 56, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["copy", "determined", "electronic", "final", "form", "format", "least", "limited/blocked", "may", "mode", "one", "submission"], "retrieval_tags": [], "source_text": "* at least two (2) printed softbound/comb bound copies (or such numbers as\nmay be determined by the faculty) of the research reportidissertation/thesis;\n© one (1) electronic copy (PDF format) which is not under limited/blocked\nmode; and\n‘+ Submission of Thesis / Dissertation for Examination/Re-examination form.\n42.2 Documents required for final submission prior to graduation after\ncompleting the corrections (if any), are as follows:\n‘* at least one (1) printed hardbound copy (or such numbers as may be\ndetermined by the faculty) of the final research reportidissertation/thesis,\n(subject to the faculty requirement);\n‘* one (1) electronic copy (PDF format) which is not under limited/blocked\nmode;\n* Final Submission of Thesis/Dissertation form;\n‘* ‘The Candidate's Declaration form;\n* Repository Policy for_—_Universit, Malaya Postgraduate\nTheses/Dissertation/Research Reports form; and\n‘* Correction Report form (if applicable).\nAll the required forms can be downloaded from the MAYA portal in the\nhttps://umsitsguide.um.edu.my/index. htm", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 56\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n* at least two (2) printed softbound/comb bound copies (or such numbers as\nmay be determined by the faculty) of the research reportidissertation/thesis;\n© one (1) electronic copy (PDF format) which is not under limited/blocked\nmode; and\n‘+ Submission of Thesis / Dissertation for Examination/Re-examination form.\n42.2 Documents required for final submission prior to graduation after\ncompleting the corrections (if any), are as follows:\n‘* at least one (1) printed hardbound copy (or such numbers as may be\ndetermined by the faculty) of the final research reportidissertation/thesis,\n(subject to the faculty requirement);\n‘* one (1) electronic copy (PDF format) which is not under limited/blocked\nmode;\n* Final Submission of Thesis/Dissertation form;\n‘* ‘The Candidate's Declaration form;\n* Repository Policy for_—_Universit, Malaya Postgraduate\nTheses/Dissertation/Research Reports form; and\n‘* Correction Report form (if applicable).\nAll the required forms can be downloaded from the MAYA portal in the\nhttps://umsitsguide.um.edu.my/index. htm\n\nKeywords: copy, determined, electronic, final, form, format, least, limited/blocked, may, mode, one, submission"}
+{"kb_id": "RAGKB-0125", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00125", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 57", "pages": [169], "chunk_index": 57, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "example", "followed", "form", "labelled", "perakuan", "perakvan", "report", "shall", "submission", "thesis/dissertation/research", "word"], "retrieval_tags": [], "source_text": "“ This form shall be labelled according to the year of submission of the thesis/dissertation/research report followed by\nstudent ID and the word ‘perakvan’. For example: 2023_170261111_perakuan.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 57\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\n“ This form shall be labelled according to the year of submission of the thesis/dissertation/research report followed by\nstudent ID and the word ‘perakvan’. For example: 2023_170261111_perakuan.\n\nKeywords: according, example, followed, form, labelled, perakuan, perakvan, report, shall, submission, thesis/dissertation/research, word"}
+{"kb_id": "RAGKB-0126", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00126", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 58", "pages": [170], "chunk_index": 58, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "any", "completed", "copy", "current", "details", "documents", "electronic", "report/dissertation/thesis", "research", "submission", "year"], "retrieval_tags": [], "source_text": "The submitted electronic copy of the research report/dissertation/thesis (in PDF format)\nin a USB flash drive or any valid source of electronic copy must be labeled with the\nfollowing details:\n© Name\n* Registration no.\n* Title of research report/dissertation/thesis\n* Faculty/Academy/Institute/Centre\n© Year of submission (current year)\nOnce all the documents required for final submission is completed, the faculty shall\nsubmit the documents via email to thesis@365.um.edu.my.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 58\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe submitted electronic copy of the research report/dissertation/thesis (in PDF format)\nin a USB flash drive or any valid source of electronic copy must be labeled with the\nfollowing details:\n© Name\n* Registration no.\n* Title of research report/dissertation/thesis\n* Faculty/Academy/Institute/Centre\n© Year of submission (current year)\nOnce all the documents required for final submission is completed, the faculty shall\nsubmit the documents via email to thesis@365.um.edu.my.\n\nKeywords: all, any, completed, copy, current, details, documents, electronic, report/dissertation/thesis, research, submission, year"}
+{"kb_id": "RAGKB-0127", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00127", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 59", "pages": [171], "chunk_index": 59, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "acts", "article", "book", "discussions", "his", "idea", "own", "plagiarism", "postgraduate", "taken", "word"], "retrieval_tags": [], "source_text": "CHAPTER 5: PLAGIARISM\nPostgraduate candidate of the Universiti Malaya are expected to produce original academic\nwork. Plagiarism is defined as an academic fraud arising from the attitude of lying, insincerity,\nuntrustworthiness, dishonesty and disrespect to fellow colleagues. Plagiarism happens when\nsomeone else's idea is taken without mentioning the source, and thus giving the impression\nthat the idea is his own. This situation may occur when:\n(1) one's idea, taken word for word from an article or book that has been published.\n(2) The idea of a person from an article or book is taken using his own words.\n(3) A person's idea is taken from discussions whether in conferences, seminars, forums, talks\nor informal discussions between two parties.\n(4) Data, diagrams, tables, photographs or any other illustrative material derived from others is\ntaken as if it were his own.\nPostgraduate candidates are strongly advised to read the Universiti Malaya Guidelines on\nHandling Plagiarism, which outlines the rules and regulations pertaining to acts of plagiarism.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 59\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nCHAPTER 5: PLAGIARISM\nPostgraduate candidate of the Universiti Malaya are expected to produce original academic\nwork. Plagiarism is defined as an academic fraud arising from the attitude of lying, insincerity,\nuntrustworthiness, dishonesty and disrespect to fellow colleagues. Plagiarism happens when\nsomeone else's idea is taken without mentioning the source, and thus giving the impression\nthat the idea is his own. This situation may occur when:\n(1) one's idea, taken word for word from an article or book that has been published.\n(2) The idea of a person from an article or book is taken using his own words.\n(3) A person's idea is taken from discussions whether in conferences, seminars, forums, talks\nor informal discussions between two parties.\n(4) Data, diagrams, tables, photographs or any other illustrative material derived from others is\ntaken as if it were his own.\nPostgraduate candidates are strongly advised to read the Universiti Malaya Guidelines on\nHandling Plagiarism, which outlines the rules and regulations pertaining to acts of plagiarism.\n\nKeywords: academic, acts, article, book, discussions, his, idea, own, plagiarism, postgraduate, taken, word"}
+{"kb_id": "RAGKB-0128", "knowledge_group_id": "KG-0062", "source_chunk_id": "SC-00128", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Thesis Preparation Guidelines", "title": "Research Guidance - Thesis Preparation Guidelines - chunk 60", "pages": [171], "chunk_index": 60, "group_size_chunks": 60, "group_size_qas": 11, "linked_index_ids": ["UMI-0056", "UMI-0275", "UMI-0276", "UMI-0277"], "group_canonical_questions": ["What thesis preparation guidelines are given for postgraduate students?", "What formatting or structural expectations are described in the thesis preparation guidelines?", "What front matter, chapters, or reference components are expected in the thesis preparation guidelines?", "What language, style, or presentation standards are described for thesis writing?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "acceptable", "also", "and/or", "application", "artificial", "avoid", "detection", "index", "percentage", "plagiarism", "similarity"], "retrieval_tags": [], "source_text": "The University also requires the usage of Turnitin, an online web-based plagiarism detection\napplication to avoid plagiarism and academic dishonesty. In most cases, the similarity index\npercentage should be between 10% to 30% and/or Artificial Intelligence (Al) writing detection\nindicator of more than 10%. Please refer to your respective faculty regarding the acceptable\nsimilarity index percentage.", "retrieval_text": "Title: Research Guidance - Thesis Preparation Guidelines - chunk 60\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Thesis Preparation Guidelines\n\nCanonical questions:\n- What thesis preparation guidelines are given for postgraduate students?\n- What formatting or structural expectations are described in the thesis preparation guidelines?\n- What front matter, chapters, or reference components are expected in the thesis preparation guidelines?\n- What language, style, or presentation standards are described for thesis writing?\n\nSource chunk text:\nThe University also requires the usage of Turnitin, an online web-based plagiarism detection\napplication to avoid plagiarism and academic dishonesty. In most cases, the similarity index\npercentage should be between 10% to 30% and/or Artificial Intelligence (Al) writing detection\nindicator of more than 10%. Please refer to your respective faculty regarding the acceptable\nsimilarity index percentage.\n\nKeywords: academic, acceptable, also, and/or, application, artificial, avoid, detection, index, percentage, plagiarism, similarity"}
+{"kb_id": "RAGKB-0129", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00129", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 1", "pages": [173], "chunk_index": 1, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "Could you tell me what publication requirements must postgraduate students satisfy?", "Hey, what publication requirements must postgraduate students satisfy?", "Could you tell me what type of publication output is required under the publication requirement section?"], "matched_qa_ids": ["qa_000058", "qa_000281", "qa_000508", "qa_000509", "qa_000836"], "grounded_answer_bank": ["Postgraduate candidates by research must satisfy the faculty's publication requirement before completion, following the university and faculty rules applicable to their programme.", "The publication requirement section indicates that postgraduate candidates by research must produce the required publication output in the form recognized by the faculty and university before completion."], "retrieval_keywords": ["acceptance", "according", "book", "candidates", "doctoral", "journals", "least", "output", "publication", "publication requirement", "reuters", "thomson", "web", "wos"], "retrieval_tags": ["postgraduate", "publication_requirement", "research_guidance"], "source_text": "PUBLICATION\nREQUIREMENT\nPUBLICATION REQUIREMENT FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nDOCTORAL CANDIDATES\n(1) Doctoral candidates pursuing programmes in the field of Sciences must show\nproof of acceptance for publication of at least two (2) articles in journals\nindexed by Thomson Reuters Web of Science (WoS) (according to the\ncriteria set in the publication guidelines), prior to graduation.\n(2\nDoctoral candidates pursuing programmes in the field of Social Sciences\nmust show proof of acceptance for publication as per the following (according\nto the criteria set in the publication guidelines), prior to graduation:\n()) at least one (1) article in journals indexed by Thomson Reuters Web of\nScience (WoS)\nor,\n(ii) at least one (1) book published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty\nor,\n(ii) at least two (2) publications in Category A or B refereed journals, or book\nchapters as follows:", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nQuestion variants:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- Could you tell me what publication requirements must postgraduate students satisfy?\n- Hey, what publication requirements must postgraduate students satisfy?\n- Could you tell me what type of publication output is required under the publication requirement section?\n\nGrounded answer bank:\n- Postgraduate candidates by research must satisfy the faculty's publication requirement before completion, following the university and faculty rules applicable to their programme.\n- The publication requirement section indicates that postgraduate candidates by research must produce the required publication output in the form recognized by the faculty and university before completion.\n\nSource chunk text:\nPUBLICATION\nREQUIREMENT\nPUBLICATION REQUIREMENT FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nDOCTORAL CANDIDATES\n(1) Doctoral candidates pursuing programmes in the field of Sciences must show\nproof of acceptance for publication of at least two (2) articles in journals\nindexed by Thomson Reuters Web of Science (WoS) (according to the\ncriteria set in the publication guidelines), prior to graduation.\n(2\nDoctoral candidates pursuing programmes in the field of Social Sciences\nmust show proof of acceptance for publication as per the following (according\nto the criteria set in the publication guidelines), prior to graduation:\n()) at least one (1) article in journals indexed by Thomson Reuters Web of\nScience (WoS)\nor,\n(ii) at least one (1) book published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty\nor,\n(ii) at least two (2) publications in Category A or B refereed journals, or book\nchapters as follows:\n\nKeywords: acceptance, according, book, candidates, doctoral, journals, least, output, publication, publication requirement, reuters, thomson, web, wos"}
+{"kb_id": "RAGKB-0130", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00130", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 2", "pages": [173], "chunk_index": 2, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["articles", "book", "books", "category", "chapters", "different", "journal", "journals", "list", "listed", "published", "publishers"], "retrieval_tags": [], "source_text": "* Articles in Category A journals:\nJournals indexed in the Scopus citation database; or the ERA\nJournal List (Australian Research Council).\n* Articles in Category B journals:\nJournals published by University or scholarly publishers or listed in\nMyJurnal (Malaysian Journal Management System). (List of\nCategory B journals must be recognized by the Faculty),\n* Book chapters in different books:\nBook chapters published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List, or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. Two (2) book chapters in different books\nare equivalent to one (1) publication", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nSource chunk text:\n* Articles in Category A journals:\nJournals indexed in the Scopus citation database; or the ERA\nJournal List (Australian Research Council).\n* Articles in Category B journals:\nJournals published by University or scholarly publishers or listed in\nMyJurnal (Malaysian Journal Management System). (List of\nCategory B journals must be recognized by the Faculty),\n* Book chapters in different books:\nBook chapters published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List, or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. Two (2) book chapters in different books\nare equivalent to one (1) publication\n\nKeywords: articles, book, books, category, chapters, different, journal, journals, list, listed, published, publishers"}
+{"kb_id": "RAGKB-0131", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00131", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 3", "pages": [174], "chunk_index": 3, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acceptance", "according", "book", "candidates", "journals", "least", "one", "publication", "reuters", "thomson", "web", "wos"], "retrieval_tags": [], "source_text": "PUBLICATION\nREQUIREMENT\nPUBLICATION REQUIREMENT FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nMASTERS CANDIDATES\n(1)\n(2)\nMaster's candidates pursuing programmes in the field of Sciences must show\nproof of acceptance for publication of at least one (1) article in journals\nindexed by Thomson Reuters Web of Science (WoS) (according to the\ncriteria set in the publication guidelines), prior to graduation.\nMaster's candidates pursuing programmes in the field of Social Sciences\nmust show proof of acceptance for publication as per the following (according\nto the criteria set in the publication guidelines), prior to graduation:\n(i) at least one (1) article in journals indexed by Thomson Reuters Web of\n‘Science (WoS)\nor;\n(ii) at least one (1) book published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty\nor;\n(iii) at least one (1) publication in Category A or B refereed journals, or book\nchapters as follows", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nSource chunk text:\nPUBLICATION\nREQUIREMENT\nPUBLICATION REQUIREMENT FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nMASTERS CANDIDATES\n(1)\n(2)\nMaster's candidates pursuing programmes in the field of Sciences must show\nproof of acceptance for publication of at least one (1) article in journals\nindexed by Thomson Reuters Web of Science (WoS) (according to the\ncriteria set in the publication guidelines), prior to graduation.\nMaster's candidates pursuing programmes in the field of Social Sciences\nmust show proof of acceptance for publication as per the following (according\nto the criteria set in the publication guidelines), prior to graduation:\n(i) at least one (1) article in journals indexed by Thomson Reuters Web of\n‘Science (WoS)\nor;\n(ii) at least one (1) book published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty\nor;\n(iii) at least one (1) publication in Category A or B refereed journals, or book\nchapters as follows\n\nKeywords: acceptance, according, book, candidates, journals, least, one, publication, reuters, thomson, web, wos"}
+{"kb_id": "RAGKB-0132", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00132", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 4", "pages": [174], "chunk_index": 4, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["articles", "book", "books", "category", "chapters", "different", "journal", "journals", "list", "listed", "published", "publishers"], "retrieval_tags": [], "source_text": "* Articles in Category A journals:\nJournals indexed in the Scopus citation database; or the ERA\nJournal List (Australian Research Council).\n* Articles in Category B journals:\nJournals published by University or scholarly publishers or listed in\nMyJumal (Malaysian Journal Management System). (List of\nCategory B journals must be recognized by the Faculty)\n* Book chapters in different books:\nBook chapters published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List, or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. Two (2) book chapters in different books\nare equivalent to one (1) publication.", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nSource chunk text:\n* Articles in Category A journals:\nJournals indexed in the Scopus citation database; or the ERA\nJournal List (Australian Research Council).\n* Articles in Category B journals:\nJournals published by University or scholarly publishers or listed in\nMyJumal (Malaysian Journal Management System). (List of\nCategory B journals must be recognized by the Faculty)\n* Book chapters in different books:\nBook chapters published by publishers listed in the Thomson\nReuters Web of Science (WoS) Master Book List, or by University of\nMalaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. Two (2) book chapters in different books\nare equivalent to one (1) publication.\n\nKeywords: articles, book, books, category, chapters, different, journal, journals, list, listed, published, publishers"}
+{"kb_id": "RAGKB-0133", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00133", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 5", "pages": [175], "chunk_index": 5, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": ["How is publication evidence or compliance documented for postgraduate students?", "Could you explain how is publication evidence or compliance documented for postgraduate students?", "Low-key, how is publication evidence or compliance documented for postgraduate students?"], "matched_qa_ids": ["qa_000282", "qa_000837", "qa_000838"], "grounded_answer_bank": ["The publication requirement section indicates that compliance is evidenced through the required publication output produced by research-mode postgraduate candidates and recognized by the faculty and university for graduation purposes."], "retrieval_keywords": ["book", "books", "candidates", "category", "chapters", "citation", "compliance", "criteria", "equivalent", "index", "journals", "publication", "publication evidence", "publications"], "retrieval_tags": ["postgraduate", "publication_requirement", "research_guidance"], "source_text": "PUBLICATION GUIDELINES FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nPublication(s) produced by postgraduate candidates (research mode) in fulfilment of graduation\nrequirements must comply with the following criteria:\nCRITERIA\nREMARK\n(1) Type of Publications\nPublications accepted must be:\n‘© fulllength articles in journals with impact factor, which are listed in:\n(a) Thomson Reuters Web of Science (WoS) databases (Science\nCitation Index Expanded™, Social Sciences Citation Index® and\nArts & Humanities Citation Index®) or;\n(b) Category A* or Category B* recognized by the faculty; or;\n* books\" or book chapters* published by publishers listed in the ISI Web\nof Science (WoS) Master Book List, Thomson Reuters or by University\nof Malaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. One (1) book is equivalent to 2 (two)\nPublications whereas two (2) book chapters in different books are\nequivalent to 1 (one) publication.\n“Note: Publications in Category A or Category B refereed journals or", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nQuestion variants:\n- How is publication evidence or compliance documented for postgraduate students?\n- Could you explain how is publication evidence or compliance documented for postgraduate students?\n- Low-key, how is publication evidence or compliance documented for postgraduate students?\n\nGrounded answer bank:\n- The publication requirement section indicates that compliance is evidenced through the required publication output produced by research-mode postgraduate candidates and recognized by the faculty and university for graduation purposes.\n\nSource chunk text:\nPUBLICATION GUIDELINES FOR POSTGRADUATE CANDIDATES BY RESEARCH\n(SENATE APPROVAL ON 28.5.2015)\nPublication(s) produced by postgraduate candidates (research mode) in fulfilment of graduation\nrequirements must comply with the following criteria:\nCRITERIA\nREMARK\n(1) Type of Publications\nPublications accepted must be:\n‘© fulllength articles in journals with impact factor, which are listed in:\n(a) Thomson Reuters Web of Science (WoS) databases (Science\nCitation Index Expanded™, Social Sciences Citation Index® and\nArts & Humanities Citation Index®) or;\n(b) Category A* or Category B* recognized by the faculty; or;\n* books\" or book chapters* published by publishers listed in the ISI Web\nof Science (WoS) Master Book List, Thomson Reuters or by University\nof Malaya Press or Dewan Bahasa dan Pustaka or any publishers\nrecognized by the Faculty. One (1) book is equivalent to 2 (two)\nPublications whereas two (2) book chapters in different books are\nequivalent to 1 (one) publication.\n“Note: Publications in Category A or Category B refereed journals or\n\nKeywords: book, books, candidates, category, chapters, citation, compliance, criteria, equivalent, index, journals, publication, publication evidence, publications"}
+{"kb_id": "RAGKB-0134", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00134", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 6", "pages": [175], "chunk_index": 6, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accepted", "affiliation", "article", "author", "blacklisted", "candidate", "candidates", "first", "his/her", "journals", "must", "publications"], "retrieval_tags": [], "source_text": "books or book chapters are only applicable to candidates pursuing\nprogrammes in the field of Social Sciences.\n(2) Authorship\nPublications accepted must be published with the supervisor(s).\nThe candidate must be the first author, or either the second or subsequent\nauthor after the supervisor(s), or the first student author. In the event\nwhere two or more candidates co-authored an article, only one candidate\nis allowed to use this article to fulfil his/her graduation requirement.\n(8) Timing\nPublications accepted must be within the candidature of the candidate\n(4) Topic of publications\nPublications accepted must be related and conform to the candidate's\nresearch in his/her thesis/dissertation.\n(8) Affiliation\nPublications accepted must carry the affiliation of the department and/or\nfaculty where the candidate is registered.\n(6) Blacklisted journals\nPublications in the following journals are NOT accepted\nPublications in journals blacklisted by the Malaysian Ministry of\nEducation (MoE)\n* Publications in Probable Predatory Journals", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nSource chunk text:\nbooks or book chapters are only applicable to candidates pursuing\nprogrammes in the field of Social Sciences.\n(2) Authorship\nPublications accepted must be published with the supervisor(s).\nThe candidate must be the first author, or either the second or subsequent\nauthor after the supervisor(s), or the first student author. In the event\nwhere two or more candidates co-authored an article, only one candidate\nis allowed to use this article to fulfil his/her graduation requirement.\n(8) Timing\nPublications accepted must be within the candidature of the candidate\n(4) Topic of publications\nPublications accepted must be related and conform to the candidate's\nresearch in his/her thesis/dissertation.\n(8) Affiliation\nPublications accepted must carry the affiliation of the department and/or\nfaculty where the candidate is registered.\n(6) Blacklisted journals\nPublications in the following journals are NOT accepted\nPublications in journals blacklisted by the Malaysian Ministry of\nEducation (MoE)\n* Publications in Probable Predatory Journals\n\nKeywords: accepted, affiliation, article, author, blacklisted, candidate, candidates, first, his/her, journals, must, publications"}
+{"kb_id": "RAGKB-0135", "knowledge_group_id": "KG-0060", "source_chunk_id": "SC-00135", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Publication Requirement", "title": "Research Guidance - Publication Requirement - chunk 7", "pages": [175], "chunk_index": 7, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0058", "UMI-0281", "UMI-0282"], "group_canonical_questions": ["What publication requirements must postgraduate students satisfy?", "What type of publication output is required under the publication requirement section?", "How is publication evidence or compliance documented for postgraduate students?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "beall's", "com/individual-journals/", "com/other-pages/hijacked-journals/", "com/publishers/", "hijacked", "http", "journals", "list", "publishers", "scholarlyoa"], "retrieval_tags": [], "source_text": "(http://scholarlyoa.com/individual-journals/) and Publishers\n(http:/scholarlyoa.com/publishers/) and hijacked journals\n(http://scholarlyoa.com/other-pages/hijacked-journals/) according to\nBeall's List.", "retrieval_text": "Title: Research Guidance - Publication Requirement - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Publication Requirement\n\nCanonical questions:\n- What publication requirements must postgraduate students satisfy?\n- What type of publication output is required under the publication requirement section?\n- How is publication evidence or compliance documented for postgraduate students?\n\nSource chunk text:\n(http://scholarlyoa.com/individual-journals/) and Publishers\n(http:/scholarlyoa.com/publishers/) and hijacked journals\n(http://scholarlyoa.com/other-pages/hijacked-journals/) according to\nBeall's List.\n\nKeywords: according, beall's, com/individual-journals/, com/other-pages/hijacked-journals/, com/publishers/, hijacked, http, journals, list, publishers, scholarlyoa"}
+{"kb_id": "RAGKB-0136", "knowledge_group_id": "KG-0057", "source_chunk_id": "SC-00136", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Plagiarism", "title": "Research Guidance - Plagiarism - chunk 1", "pages": [176], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 8, "linked_index_ids": ["UMI-0059", "UMI-0283", "UMI-0284"], "group_canonical_questions": ["How does the handbook address plagiarism for postgraduate students?", "What plagiarism detection, checking, or avoidance measures are described for postgraduate work?", "What consequences or compliance expectations are associated with plagiarism in postgraduate work?"], "chunk_question_variants": ["How does the handbook address plagiarism for postgraduate students?", "What plagiarism detection, checking, or avoidance measures are described for postgraduate work?", "What consequences or compliance expectations are associated with plagiarism in postgraduate work?", "Could you explain how does the handbook address plagiarism for postgraduate students?", "Just asking, how does the handbook address plagiarism for postgraduate students?", "Could you tell me what plagiarism detection, checking, or avoidance measures are described for postgraduate work?", "Could you tell me what consequences or compliance expectations are associated with plagiarism in postgraduate work?", "BTW, what consequences or compliance expectations are associated with plagiarism in postgraduate work?"], "matched_qa_ids": ["qa_000059", "qa_000283", "qa_000284", "qa_000510", "qa_000511", "qa_000839", "qa_000840", "qa_000841"], "grounded_answer_bank": ["The handbook advises candidates to check originality through Turnitin and states that plagiarism is treated as a serious academic offence under university rules.", "For postgraduate work, students are expected to produce original academic work and avoid plagiarism in assignments, reports, dissertations, and other assessed writing. The handbook points students to university rules and expects proper acknowledgment of sources and compliance with the institution's academic honesty requirements.", "The handbook makes clear that plagiarism is treated as a disciplinary matter. A candidate found to have plagiarized assessed work may face disciplinary action under the relevant Universiti Malaya rules and is expected to comply fully with the university's originality and academic integrity requirements."], "retrieval_keywords": ["academic", "accessed", "acknowledge", "action", "advised", "any", "avoidance", "candidate", "candidates", "checking", "consequences", "plagiarism", "plagiarism detection", "software", "turnitin", "work"], "retrieval_tags": ["plagiarism", "postgraduate", "research_guidance"], "source_text": "PLAGIARISM\nAVOIDING PLAGIARISM\nAs an enrolled student and member of the Universiti Malaya candidates are expected\nto produce original academic work. Failure to acknowledge the work of others in their\nwork means the candidate is guilty of plagiarism. A candidate who is found to have\nplagiarized his assignments or any written work that is part of the assessment in a\ncourse or programme may be subjected to disciplinary action under the Universiti\nMalaya .\nCandidates are advised to check their work for originality by using the Turnitin\nsoftware. Details on Turnitin software can be accessed at https:/Avww.turnitin.com", "retrieval_text": "Title: Research Guidance - Plagiarism - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Plagiarism\n\nCanonical questions:\n- How does the handbook address plagiarism for postgraduate students?\n- What plagiarism detection, checking, or avoidance measures are described for postgraduate work?\n- What consequences or compliance expectations are associated with plagiarism in postgraduate work?\n\nQuestion variants:\n- How does the handbook address plagiarism for postgraduate students?\n- What plagiarism detection, checking, or avoidance measures are described for postgraduate work?\n- What consequences or compliance expectations are associated with plagiarism in postgraduate work?\n- Could you explain how does the handbook address plagiarism for postgraduate students?\n- Just asking, how does the handbook address plagiarism for postgraduate students?\n- Could you tell me what plagiarism detection, checking, or avoidance measures are described for postgraduate work?\n- Could you tell me what consequences or compliance expectations are associated with plagiarism in postgraduate work?\n- BTW, what consequences or compliance expectations are associated with plagiarism in postgraduate work?\n\nGrounded answer bank:\n- The handbook advises candidates to check originality through Turnitin and states that plagiarism is treated as a serious academic offence under university rules.\n- For postgraduate work, students are expected to produce original academic work and avoid plagiarism in assignments, reports, dissertations, and other assessed writing. The handbook points students to university rules and expects proper acknowledgment of sources and compliance with the institution's academic honesty requirements.\n- The handbook makes clear that plagiarism is treated as a disciplinary matter. A candidate found to have plagiarized assessed work may face disciplinary action under the relevant Universiti Malaya rules and is expected to comply fully with the university's originality and academic integrity requirements.\n\nSource chunk text:\nPLAGIARISM\nAVOIDING PLAGIARISM\nAs an enrolled student and member of the Universiti Malaya candidates are expected\nto produce original academic work. Failure to acknowledge the work of others in their\nwork means the candidate is guilty of plagiarism. A candidate who is found to have\nplagiarized his assignments or any written work that is part of the assessment in a\ncourse or programme may be subjected to disciplinary action under the Universiti\nMalaya .\nCandidates are advised to check their work for originality by using the Turnitin\nsoftware. Details on Turnitin software can be accessed at https:/Avww.turnitin.com\n\nKeywords: academic, accessed, acknowledge, action, advised, any, avoidance, candidate, candidates, checking, consequences, plagiarism, plagiarism detection, software, turnitin, work"}
+{"kb_id": "RAGKB-0137", "knowledge_group_id": "KG-0056", "source_chunk_id": "SC-00137", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Intellectual Property", "title": "Research Guidance - Intellectual Property - chunk 1", "pages": [177], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 5, "linked_index_ids": ["UMI-0060", "UMI-0285"], "group_canonical_questions": ["What intellectual property guidance is given for postgraduate students?", "What ownership, commercialization, or rights issues are covered under intellectual property guidance?"], "chunk_question_variants": ["What intellectual property guidance is given for postgraduate students?", "What ownership, commercialization, or rights issues are covered under intellectual property guidance?", "Could you tell me what intellectual property guidance is given for postgraduate students?", "Low-key, what intellectual property guidance is given for postgraduate students?", "Could you tell me what ownership, commercialization, or rights issues are covered under intellectual property guidance?"], "matched_qa_ids": ["qa_000060", "qa_000285", "qa_000512", "qa_000513", "qa_000842"], "grounded_answer_bank": ["Intellectual property matters are governed by the UM Intellectual Property Policy and that candidates must report relevant intellectual property to the university."], "retrieval_keywords": ["all", "another", "assign", "assigned", "belongs", "candidates", "case", "commercialization", "intellectual", "intellectual property", "may", "ownership", "property", "rights", "university"], "retrieval_tags": ["intellectual_property", "postgraduate", "research_guidance"], "source_text": "INTELECTUAL PROPERTY\nThe UM —Intellectual Property Policyll covers intellectual property (IP) ownership. As\nan enrolled student of UM, candidates are required to report to the University all IP\nwith commercial potential. This does not mean that candidates lose their IP rights as\ntheir invention still belongs to them unless they have previously assigned it to another\nparty. However, UM may make a claim for joint ownership if, for example, candidates\nare employed by the University to do research. In such a case, the candidates’\ncontract may assign ownership to the Universiti Malaya.", "retrieval_text": "Title: Research Guidance - Intellectual Property - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Intellectual Property\n\nCanonical questions:\n- What intellectual property guidance is given for postgraduate students?\n- What ownership, commercialization, or rights issues are covered under intellectual property guidance?\n\nQuestion variants:\n- What intellectual property guidance is given for postgraduate students?\n- What ownership, commercialization, or rights issues are covered under intellectual property guidance?\n- Could you tell me what intellectual property guidance is given for postgraduate students?\n- Low-key, what intellectual property guidance is given for postgraduate students?\n- Could you tell me what ownership, commercialization, or rights issues are covered under intellectual property guidance?\n\nGrounded answer bank:\n- Intellectual property matters are governed by the UM Intellectual Property Policy and that candidates must report relevant intellectual property to the university.\n\nSource chunk text:\nINTELECTUAL PROPERTY\nThe UM —Intellectual Property Policyll covers intellectual property (IP) ownership. As\nan enrolled student of UM, candidates are required to report to the University all IP\nwith commercial potential. This does not mean that candidates lose their IP rights as\ntheir invention still belongs to them unless they have previously assigned it to another\nparty. However, UM may make a claim for joint ownership if, for example, candidates\nare employed by the University to do research. In such a case, the candidates’\ncontract may assign ownership to the Universiti Malaya.\n\nKeywords: all, another, assign, assigned, belongs, candidates, case, commercialization, intellectual, intellectual property, may, ownership, property, rights, university"}
+{"kb_id": "RAGKB-0138", "knowledge_group_id": "KG-0058", "source_chunk_id": "SC-00138", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Research Guidance", "subsection": "Postgraduate Activities", "title": "Research Guidance - Postgraduate Activities - chunk 1", "pages": [180], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 8, "linked_index_ids": ["UMI-0061", "UMI-0286", "UMI-0287"], "group_canonical_questions": ["What postgraduate activities are mentioned in the handbook?", "What kinds of postgraduate activities, events, or development opportunities are mentioned?", "What expectations are attached to participation in postgraduate activities?"], "chunk_question_variants": ["What postgraduate activities are mentioned in the handbook?", "What kinds of postgraduate activities, events, or development opportunities are mentioned?", "What expectations are attached to participation in postgraduate activities?", "Could you tell me what postgraduate activities are mentioned in the handbook?", "Quick one: what postgraduate activities are mentioned in the handbook?", "Could you tell me what kinds of postgraduate activities, events, or development opportunities are mentioned?", "So basically, what kinds of postgraduate activities, events, or development opportunities are mentioned?", "Could you tell me what expectations are attached to participation in postgraduate activities?"], "matched_qa_ids": ["qa_000061", "qa_000286", "qa_000287", "qa_000514", "qa_000515", "qa_000843", "qa_000844", "qa_000845"], "grounded_answer_bank": ["The postgraduate activities section mentions development opportunities such as research talks, exchange-related events, ceremonies, and other academic or professional activities organized for postgraduate engagement."], "retrieval_keywords": ["activities", "cardiff", "centre", "ceremony", "development opportunities", "eureka", "events", "exchange", "metropolitan", "mou", "participation", "postgraduate activities", "research", "robotics", "talk"], "retrieval_tags": ["postgraduate", "postgraduate_activities", "research_guidance"], "source_text": "»»>\nResearch talk & Exchange MOU ceremony by EUREKA\nRobotics Centre, Cardiff Metropolitan\nCC Cm", "retrieval_text": "Title: Research Guidance - Postgraduate Activities - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Research Guidance\n\nSubsection: Postgraduate Activities\n\nCanonical questions:\n- What postgraduate activities are mentioned in the handbook?\n- What kinds of postgraduate activities, events, or development opportunities are mentioned?\n- What expectations are attached to participation in postgraduate activities?\n\nQuestion variants:\n- What postgraduate activities are mentioned in the handbook?\n- What kinds of postgraduate activities, events, or development opportunities are mentioned?\n- What expectations are attached to participation in postgraduate activities?\n- Could you tell me what postgraduate activities are mentioned in the handbook?\n- Quick one: what postgraduate activities are mentioned in the handbook?\n- Could you tell me what kinds of postgraduate activities, events, or development opportunities are mentioned?\n- So basically, what kinds of postgraduate activities, events, or development opportunities are mentioned?\n- Could you tell me what expectations are attached to participation in postgraduate activities?\n\nGrounded answer bank:\n- The postgraduate activities section mentions development opportunities such as research talks, exchange-related events, ceremonies, and other academic or professional activities organized for postgraduate engagement.\n\nSource chunk text:\n»»>\nResearch talk & Exchange MOU ceremony by EUREKA\nRobotics Centre, Cardiff Metropolitan\nCC Cm\n\nKeywords: activities, cardiff, centre, ceremony, development opportunities, eureka, events, exchange, metropolitan, mou, participation, postgraduate activities, research, robotics, talk"}
+{"kb_id": "RAGKB-0139", "knowledge_group_id": "KG-0006", "source_chunk_id": "SC-00139", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Laboratory Regulations and Support", "subsection": "Laboratory Regulations", "title": "Laboratory Regulations and Support - Laboratory Regulations - chunk 1", "pages": [183], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 16, "linked_index_ids": ["UMI-0062", "UMI-0288", "UMI-0289", "UMI-0290", "UMI-0291", "UMI-0292"], "group_canonical_questions": ["What laboratory regulations apply to users of faculty labs?", "What identification or matric card requirements apply when entering faculty laboratories?", "What food, drink, or cleanliness rules apply in the laboratories?", "What rules govern installing software, changing settings, or using laboratory computers and equipment?", "What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?", "What rules apply to saving data, using personal devices, or protecting laboratory resources?"], "chunk_question_variants": ["What laboratory regulations apply to users of faculty labs?", "What identification or matric card requirements apply when entering faculty laboratories?", "What rules govern installing software, changing settings, or using laboratory computers and equipment?", "What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?", "What rules apply to saving data, using personal devices, or protecting laboratory resources?", "Could you tell me what laboratory regulations apply to users of faculty labs?", "BTW, what laboratory regulations apply to users of faculty labs?", "Could you tell me what identification or matric card requirements apply when entering faculty laboratories?", "Real quick, what identification or matric card requirements apply when entering faculty laboratories?", "Could you tell me what rules govern installing software, changing settings, or using laboratory computers and equipment?", "Just asking, what rules govern installing software, changing settings, or using laboratory computers and equipment?", "Could you tell me what behaviour, discipline, or misuse restrictions are described in the laboratory regulations?", "Could you tell me what rules apply to saving data, using personal devices, or protecting laboratory resources?", "Quick one: what rules apply to saving data, using personal devices, or protecting laboratory resources?"], "matched_qa_ids": ["qa_000062", "qa_000288", "qa_000290", "qa_000291", "qa_000292", "qa_000516", "qa_000517", "qa_000846", "qa_000847", "qa_000849", "qa_000850", "qa_000851", "qa_000852", "qa_000853"], "grounded_answer_bank": ["The laboratory regulations prohibit misuse of laboratory facilities, disruptive or improper behaviour, and conduct that may damage equipment, compromise safety, or interfere with other users.", "Users are strictly prohibited from making copies of software without the knowledge of the staff on duty. Users are prohibited from installing any software onto the hard disk without staff permission, and any hardware problems must be reported to the staff on duty."], "retrieval_keywords": ["allowed", "any", "behaviour", "data saving", "discipline", "duty", "equipment", "food", "identification", "lab", "lab regulations", "laboratory regulations", "matric card", "misuse", "not", "personal devices", "resources", "right", "settings", "software", "software installation", "staff", "use", "users", "wear", "without"], "retrieval_tags": ["general", "laboratory_regulations", "laboratory_regulations_and_support"], "source_text": "4 >>>\nLABORATORY REGULATIONS\n1, Only registered users are allowed to use the facilities in the lab.\n2. Effective from 1°\" april 2006, it is compulsory for users to wear the matric card in the\nlab at all times. Users who do not wear the matric cards are not allowed to enter the\nlab. Lab staff has the right to ask the user to leave upon refusing to wear or show\nhis/her name tag.\n3. Ensure use of good quality of CD, thumb drives, external hard disk and virus-free\ndata. The faculty reserves the right to examine before use.\n4. Users are strictly prohibited from making copies of software without the knowledge of\nthe staff on duty.\n5. Users are prohibited from installing any software onto the hard disk without the\nknowledge of the staff on duty (eg; KAZAA, BitTorent, P2P software). The faculty\nreserves the right to remove such installations without any prior notice.\n6. Any hardware problems must be reported to the staff on duty. The faculty will not be\nresponsible for any accidents or damage because of negligence and misuse of the\nequipment by users.", "retrieval_text": "Title: Laboratory Regulations and Support - Laboratory Regulations - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Laboratory Regulations and Support\n\nSubsection: Laboratory Regulations\n\nCanonical questions:\n- What laboratory regulations apply to users of faculty labs?\n- What identification or matric card requirements apply when entering faculty laboratories?\n- What food, drink, or cleanliness rules apply in the laboratories?\n- What rules govern installing software, changing settings, or using laboratory computers and equipment?\n- What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?\n- What rules apply to saving data, using personal devices, or protecting laboratory resources?\n\nQuestion variants:\n- What laboratory regulations apply to users of faculty labs?\n- What identification or matric card requirements apply when entering faculty laboratories?\n- What rules govern installing software, changing settings, or using laboratory computers and equipment?\n- What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?\n- What rules apply to saving data, using personal devices, or protecting laboratory resources?\n- Could you tell me what laboratory regulations apply to users of faculty labs?\n- BTW, what laboratory regulations apply to users of faculty labs?\n- Could you tell me what identification or matric card requirements apply when entering faculty laboratories?\n- Real quick, what identification or matric card requirements apply when entering faculty laboratories?\n- Could you tell me what rules govern installing software, changing settings, or using laboratory computers and equipment?\n- Just asking, what rules govern installing software, changing settings, or using laboratory computers and equipment?\n- Could you tell me what behaviour, discipline, or misuse restrictions are described in the laboratory regulations?\n\nGrounded answer bank:\n- The laboratory regulations prohibit misuse of laboratory facilities, disruptive or improper behaviour, and conduct that may damage equipment, compromise safety, or interfere with other users.\n- Users are strictly prohibited from making copies of software without the knowledge of the staff on duty. Users are prohibited from installing any software onto the hard disk without staff permission, and any hardware problems must be reported to the staff on duty.\n\nSource chunk text:\n4 >>>\nLABORATORY REGULATIONS\n1, Only registered users are allowed to use the facilities in the lab.\n2. Effective from 1°\" april 2006, it is compulsory for users to wear the matric card in the\nlab at all times. Users who do not wear the matric cards are not allowed to enter the\nlab. Lab staff has the right to ask the user to leave upon refusing to wear or show\nhis/her name tag.\n3. Ensure use of good quality of CD, thumb drives, external hard disk and virus-free\ndata. The faculty reserves the right to examine before use.\n4. Users are strictly prohibited from making copies of software without the knowledge of\nthe staff on duty.\n5. Users are prohibited from installing any software onto the hard disk without the\nknowledge of the staff on duty (eg; KAZAA, BitTorent, P2P software). The faculty\nreserves the right to remove such installations without any prior notice.\n6. Any hardware problems must be reported to the staff on duty. The faculty will not be\nresponsible for any accidents or damage because of negligence and misuse of the\nequipment by users.\n\nKeywords: allowed, any, behaviour, data saving, discipline, duty, equipment, food, identification, lab, lab regulations, laboratory regulations, matric card, misuse, not, personal devices, resources, right, settings, software, software installation, staff, use, users, wear, without"}
+{"kb_id": "RAGKB-0140", "knowledge_group_id": "KG-0006", "source_chunk_id": "SC-00140", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Laboratory Regulations and Support", "subsection": "Laboratory Regulations", "title": "Laboratory Regulations and Support - Laboratory Regulations - chunk 2", "pages": [183], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 16, "linked_index_ids": ["UMI-0062", "UMI-0288", "UMI-0289", "UMI-0290", "UMI-0291", "UMI-0292"], "group_canonical_questions": ["What laboratory regulations apply to users of faculty labs?", "What identification or matric card requirements apply when entering faculty laboratories?", "What food, drink, or cleanliness rules apply in the laboratories?", "What rules govern installing software, changing settings, or using laboratory computers and equipment?", "What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?", "What rules apply to saving data, using personal devices, or protecting laboratory resources?"], "chunk_question_variants": ["What food, drink, or cleanliness rules apply in the laboratories?", "Could you tell me what food, drink, or cleanliness rules apply in the laboratories?"], "matched_qa_ids": ["qa_000289", "qa_000848"], "grounded_answer_bank": ["Laboratory regulations covering proper use of facilities, discipline, safety, security, and the responsibilities of users when working in the labs."], "retrieval_keywords": ["above", "action", "administrator", "against", "any", "attired", "bags", "cleanliness", "drink", "food", "lab", "laboratory regulations", "other", "prohibited", "strictly", "users"], "retrieval_tags": ["general", "laboratory_regulations", "laboratory_regulations_and_support"], "source_text": "7. Users are prohibited from playing games, chat or browse the web for pornography\nmaterials.\n8. Users are prohibited from bringing in friends or students from other\nfaculties/universities into the lab.\n9. Users are prohibited from making noise and disturbing others. Any discussions\nshould be conducted outside the lab.\n10. Smoking, bringing-in bags and foodstuffs is strictly prohibited in the lab.\n11. Users are responsible for the safekeeping of the data, hardware and cleanliness of\nother equipment in the lab including tables and chairs.\n12. Users must be properly attired inside the lab. Slippers, shorts and indecently\ndressed users are strictly prohibited.\n43. Users are prohibited to change administrator password as security reason and\nmaintenance work.\nDisciplinary action will be taken by the Faculty against those who breached the\nrules and regulations mentioned above.\n(Cy Cm", "retrieval_text": "Title: Laboratory Regulations and Support - Laboratory Regulations - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Laboratory Regulations and Support\n\nSubsection: Laboratory Regulations\n\nCanonical questions:\n- What laboratory regulations apply to users of faculty labs?\n- What identification or matric card requirements apply when entering faculty laboratories?\n- What food, drink, or cleanliness rules apply in the laboratories?\n- What rules govern installing software, changing settings, or using laboratory computers and equipment?\n- What behaviour, discipline, or misuse restrictions are described in the laboratory regulations?\n- What rules apply to saving data, using personal devices, or protecting laboratory resources?\n\nQuestion variants:\n- What food, drink, or cleanliness rules apply in the laboratories?\n- Could you tell me what food, drink, or cleanliness rules apply in the laboratories?\n\nGrounded answer bank:\n- Laboratory regulations covering proper use of facilities, discipline, safety, security, and the responsibilities of users when working in the labs.\n\nSource chunk text:\n7. Users are prohibited from playing games, chat or browse the web for pornography\nmaterials.\n8. Users are prohibited from bringing in friends or students from other\nfaculties/universities into the lab.\n9. Users are prohibited from making noise and disturbing others. Any discussions\nshould be conducted outside the lab.\n10. Smoking, bringing-in bags and foodstuffs is strictly prohibited in the lab.\n11. Users are responsible for the safekeeping of the data, hardware and cleanliness of\nother equipment in the lab including tables and chairs.\n12. Users must be properly attired inside the lab. Slippers, shorts and indecently\ndressed users are strictly prohibited.\n43. Users are prohibited to change administrator password as security reason and\nmaintenance work.\nDisciplinary action will be taken by the Faculty against those who breached the\nrules and regulations mentioned above.\n(Cy Cm\n\nKeywords: above, action, administrator, against, any, attired, bags, cleanliness, drink, food, lab, laboratory regulations, other, prohibited, strictly, users"}
+{"kb_id": "RAGKB-0141", "knowledge_group_id": "KG-0007", "source_chunk_id": "SC-00141", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Laboratory Regulations and Support", "subsection": "Technical Problem Enquiries", "title": "Laboratory Regulations and Support - Technical Problem Enquiries - chunk 1", "pages": [184], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 7, "linked_index_ids": ["UMI-0063", "UMI-0293", "UMI-0294"], "group_canonical_questions": ["How can students ask for help with technical problems in the labs?", "Which contacts, channels, or offices should students use for technical problem enquiries?", "What operating hours or support periods are mentioned for laboratory technical assistance?"], "chunk_question_variants": ["How can students ask for help with technical problems in the labs?", "Which contacts, channels, or offices should students use for technical problem enquiries?", "What operating hours or support periods are mentioned for laboratory technical assistance?", "Could you explain how can students ask for help with technical problems in the labs?", "Could you tell me which contacts, channels, or offices should students use for technical problem enquiries?", "Could you tell me what operating hours or support periods are mentioned for laboratory technical assistance?", "Ngl, what operating hours or support periods are mentioned for laboratory technical assistance?"], "matched_qa_ids": ["qa_000063", "qa_000293", "qa_000294", "qa_000518", "qa_000854", "qa_000855", "qa_000856"], "grounded_answer_bank": ["The handbook directs students to seek help through the faculty's enquiries and technical support channels for laboratory-related problems."], "retrieval_keywords": ["according", "adnan", "annuar", "azura", "class", "contact", "contacts", "edu", "extended", "lab", "micro", "operating hours", "operation hours", "problems", "request", "support channels", "technical", "technical assistance", "technical problems"], "retrieval_tags": ["general", "laboratory_regulations_and_support", "technical_problem_enquiries"], "source_text": "4 >>>\nENQUIRIES ON TECHNICAL PROBLEMS\nUsers who have problems using the equipment and software can contact the technical staff\nworking in the laboratory as in the table below:\nTun Hairul Farid\nTon Hamzah\nMicro Lab 1 (MM1) 03-79676364 tunhairul@um.edu.my\nPostgraduate Lab (ML) Nor Azura Adnan\nazura_adnan@um.edu.my\nMicro Lab 3 (MM3) Haryati Masilan 03-79676391\nharyatim@um edu my\nMohd Annuar\nMicro Lab 6 (MM6) fee 03-79676364 | _annuar@um.edumy\nRobotic Teaching Lab Jamal Amran\njamalamr@um.edu.my\nOperation Hours:\n8.00 a.m. —5.30 pm.\nMonday - (extended upon request according to class\nThursday timetable)\n800 a.m.— 12.15 pm.\nFriday 2.45 p.m. — 5.30 p.m.\n(extended upon request according to class\ntimetable’\n“* Computer Laboratories will be closed during maintenance work, and public holidays.", "retrieval_text": "Title: Laboratory Regulations and Support - Technical Problem Enquiries - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Laboratory Regulations and Support\n\nSubsection: Technical Problem Enquiries\n\nCanonical questions:\n- How can students ask for help with technical problems in the labs?\n- Which contacts, channels, or offices should students use for technical problem enquiries?\n- What operating hours or support periods are mentioned for laboratory technical assistance?\n\nQuestion variants:\n- How can students ask for help with technical problems in the labs?\n- Which contacts, channels, or offices should students use for technical problem enquiries?\n- What operating hours or support periods are mentioned for laboratory technical assistance?\n- Could you explain how can students ask for help with technical problems in the labs?\n- Could you tell me which contacts, channels, or offices should students use for technical problem enquiries?\n- Could you tell me what operating hours or support periods are mentioned for laboratory technical assistance?\n- Ngl, what operating hours or support periods are mentioned for laboratory technical assistance?\n\nGrounded answer bank:\n- The handbook directs students to seek help through the faculty's enquiries and technical support channels for laboratory-related problems.\n\nSource chunk text:\n4 >>>\nENQUIRIES ON TECHNICAL PROBLEMS\nUsers who have problems using the equipment and software can contact the technical staff\nworking in the laboratory as in the table below:\nTun Hairul Farid\nTon Hamzah\nMicro Lab 1 (MM1) 03-79676364 tunhairul@um.edu.my\nPostgraduate Lab (ML) Nor Azura Adnan\nazura_adnan@um.edu.my\nMicro Lab 3 (MM3) Haryati Masilan 03-79676391\nharyatim@um edu my\nMohd Annuar\nMicro Lab 6 (MM6) fee 03-79676364 | _annuar@um.edumy\nRobotic Teaching Lab Jamal Amran\njamalamr@um.edu.my\nOperation Hours:\n8.00 a.m. —5.30 pm.\nMonday - (extended upon request according to class\nThursday timetable)\n800 a.m.— 12.15 pm.\nFriday 2.45 p.m. — 5.30 p.m.\n(extended upon request according to class\ntimetable’\n“* Computer Laboratories will be closed during maintenance work, and public holidays.\n\nKeywords: according, adnan, annuar, azura, class, contact, contacts, edu, extended, lab, micro, operating hours, operation hours, problems, request, support channels, technical, technical assistance, technical problems"}
+{"kb_id": "RAGKB-0142", "knowledge_group_id": "KG-0078", "source_chunk_id": "SC-00142", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Faculty Identity", "subsection": "Vision and Mission", "title": "Undergraduate Faculty Identity - Vision and Mission - chunk 1", "pages": [187], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 10, "linked_index_ids": ["UMI-0064", "UMI-0065", "UMI-0295", "UMI-0296"], "group_canonical_questions": ["What is the undergraduate handbook vision?", "What is the undergraduate handbook mission?", "Which statement in the handbook expresses the undergraduate vision?", "Which statement in the handbook expresses the undergraduate mission?"], "chunk_question_variants": ["What is the undergraduate handbook vision?", "What is the undergraduate handbook mission?", "Which statement in the handbook expresses the undergraduate vision?", "Which statement in the handbook expresses the undergraduate mission?", "Could you explain the undergraduate handbook vision?", "So basically, what's the undergraduate handbook vision?", "Could you explain the undergraduate handbook mission?", "Could you tell me which statement in the handbook expresses the undergraduate vision?", "Could you tell me which statement in the handbook expresses the undergraduate mission?", "Quick check: which statement in the handbook expresses the undergraduate mission?"], "matched_qa_ids": ["qa_000064", "qa_000065", "qa_000295", "qa_000296", "qa_000519", "qa_000520", "qa_000521", "qa_000857", "qa_000858", "qa_000859"], "grounded_answer_bank": ["The undergraduate handbook states the vision as: A global faculty impacting the world.", "The undergraduate handbook states the mission as: Propelling computing technology and producing world class leaders.", "The undergraduate handbook expresses the faculty vision as: A global faculty impacting the world.", "The handbook expresses the undergraduate mission as: Propelling computing technology and producing world class leaders."], "retrieval_keywords": ["academic", "advanced", "can", "changing", "class", "computing", "contribute", "dedicated", "development", "mission", "mission statement", "quality", "research", "undergraduate", "undergraduate mission", "undergraduate vision", "vision", "vision statement", "world"], "retrieval_tags": ["undergraduate", "undergraduate_faculty_identity", "vision_and_mission"], "source_text": "VISION\nA global faculty impacting the world\nMISSION\nPropelling computing technology and\nproducing world class leaders\nOBJECTIVES\nTo sustain an outstanding faculty dedicated to excellence in\nundergraduate and postgraduate teaching, learning and research.\nTo contribute towards the development of the nation through the\nproduction of quality research and publications.\nTo provide innovative academic programs that can respond to the\nchanging needs of the society.\nTo produce quality graduates who are equipped with advanced\nknowledge and skills of computer science and information technology.", "retrieval_text": "Title: Undergraduate Faculty Identity - Vision and Mission - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Faculty Identity\n\nSubsection: Vision and Mission\n\nCanonical questions:\n- What is the undergraduate handbook vision?\n- What is the undergraduate handbook mission?\n- Which statement in the handbook expresses the undergraduate vision?\n- Which statement in the handbook expresses the undergraduate mission?\n\nQuestion variants:\n- What is the undergraduate handbook vision?\n- What is the undergraduate handbook mission?\n- Which statement in the handbook expresses the undergraduate vision?\n- Which statement in the handbook expresses the undergraduate mission?\n- Could you explain the undergraduate handbook vision?\n- So basically, what's the undergraduate handbook vision?\n- Could you explain the undergraduate handbook mission?\n- Could you tell me which statement in the handbook expresses the undergraduate vision?\n- Could you tell me which statement in the handbook expresses the undergraduate mission?\n- Quick check: which statement in the handbook expresses the undergraduate mission?\n\nGrounded answer bank:\n- The undergraduate handbook states the vision as: A global faculty impacting the world.\n- The undergraduate handbook states the mission as: Propelling computing technology and producing world class leaders.\n- The undergraduate handbook expresses the faculty vision as: A global faculty impacting the world.\n- The handbook expresses the undergraduate mission as: Propelling computing technology and producing world class leaders.\n\nSource chunk text:\nVISION\nA global faculty impacting the world\nMISSION\nPropelling computing technology and\nproducing world class leaders\nOBJECTIVES\nTo sustain an outstanding faculty dedicated to excellence in\nundergraduate and postgraduate teaching, learning and research.\nTo contribute towards the development of the nation through the\nproduction of quality research and publications.\nTo provide innovative academic programs that can respond to the\nchanging needs of the society.\nTo produce quality graduates who are equipped with advanced\nknowledge and skills of computer science and information technology.\n\nKeywords: academic, advanced, can, changing, class, computing, contribute, dedicated, development, mission, mission statement, quality, research, undergraduate, undergraduate mission, undergraduate vision, vision, vision statement, world"}
+{"kb_id": "RAGKB-0143", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00143", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 1", "pages": [192], "chunk_index": 1, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?", "Could you tell me which undergraduate dean's office and department leadership positions are listed in the handbook?", "Ngl, which undergraduate dean's office and department leadership positions are listed in the handbook?", "Could you tell me which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "matched_qa_ids": ["qa_000017", "qa_000199", "qa_000428", "qa_000429", "qa_000719"], "grounded_answer_bank": ["The undergraduate staff pages list the dean's office positions and departmental leadership roles, including the Dean, Deputy Deans for postgraduate, undergraduate, research, development, and student affairs, as well as heads of department for the faculty's academic units.", "The handbook specifically lists roles tied to postgraduate, undergraduate, research, development, and student affairs under the Deputy Dean positions."], "retrieval_keywords": ["abdul", "artificial", "associate", "comp", "coordinator", "dean", "dean office", "deputy", "eng", "engineering", "intelligence", "leadership", "mohd", "phd", "postgraduate", "professor", "roles", "undergraduate", "undergraduate dean office"], "retrieval_tags": ["faculty_staff", "general", "undergraduate_dean_s_office_and_department_leadership"], "source_text": "STAFF\nDEAN’S OFFICE\nCoordinator Program\nMultimedia\nHead of Department\nArtificial Intelligence\nInformation Systems\nSoftware Engineering\nDeputy Dean (Research)\nDeputy Dean (Development)\nDeputy Dean (Postgraduate)\nDeputy Dean (Student Affairs)\nDeputy Dean (Undergraduate)\nComputer System and Technology\n: Madam Mas Idayu Md. Sabri\nB.Comp.Sc. (UM), M.Sc. (Bath)\n: Dr. Muhammad Shahreeza Safiruz Kassim\nBEng\n(Electrical,\nElectronics\nand\nInformation\nEngineering) (Japan), M.Sc (Artificial Intelligence)\n(UK), PhD (Southampton)\n: Dr. Asmiza Abdul Sani\nB.Comp.Sc. (UM), M.Sc. (Soft. Eng.) (UK), PhD\n(UK)\n: Dr. Hoo Wai Lam\nB.Comp.Sc. (UM), PhD (UM)\n: Associate Professor Dr. Amirrudin Kamsin\nBIT (UM), M.Sc. (Bournemouth), PhD (London)\n: Associate Professor Dr. Norisma Idris\nB.Comp.S (UM), M.Comp.Sc. (UM), PhD (UM)\n: Professor Dr. Nor Liyana Mohd Shuib\nB.Comp.Sc.(UTM), M.IT (UKM), PhD (UM)\n: Dr. Ong Sim Ying\nB.Comp.Sc. (UM), PhD (UM)\n: Associate Professor Dr. Saaidal Razalli Azzuhri\nB.Eng. (UM), M.Sc. (IT) (MUST), PhD (Queensland)\n: Dr. Erma Rahayu Mohd Faizal Abdullah", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nQuestion variants:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n- Could you tell me which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Ngl, which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Could you tell me which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nGrounded answer bank:\n- The undergraduate staff pages list the dean's office positions and departmental leadership roles, including the Dean, Deputy Deans for postgraduate, undergraduate, research, development, and student affairs, as well as heads of department for the faculty's academic units.\n- The handbook specifically lists roles tied to postgraduate, undergraduate, research, development, and student affairs under the Deputy Dean positions.\n\nSource chunk text:\nSTAFF\nDEAN’S OFFICE\nCoordinator Program\nMultimedia\nHead of Department\nArtificial Intelligence\nInformation Systems\nSoftware Engineering\nDeputy Dean (Research)\nDeputy Dean (Development)\nDeputy Dean (Postgraduate)\nDeputy Dean (Student Affairs)\nDeputy Dean (Undergraduate)\nComputer System and Technology\n: Madam Mas Idayu Md. Sabri\nB.Comp.Sc. (UM), M.Sc. (Bath)\n: Dr. Muhammad Shahreeza Safiruz Kassim\nBEng\n(Electrical,\nElectronics\nand\nInformation\nEngineering) (Japan), M.Sc (Artificial Intelligence)\n(UK), PhD (Southampton)\n: Dr. Asmiza Abdul Sani\nB.Comp.Sc. (UM), M.Sc. (Soft. Eng.) (UK), PhD\n(UK)\n: Dr. Hoo Wai Lam\nB.Comp.Sc. (UM), PhD (UM)\n: Associate Professor Dr. Amirrudin Kamsin\nBIT (UM), M.Sc. (Bournemouth), PhD (London)\n: Associate Professor Dr. Norisma Idris\nB.Comp.S (UM), M.Comp.Sc. (UM), PhD (UM)\n: Professor Dr. Nor Liyana Mohd Shuib\nB.Comp.Sc.(UTM), M.IT (UKM), PhD (UM)\n: Dr. Ong Sim Ying\nB.Comp.Sc. (UM), PhD (UM)\n: Associate Professor Dr. Saaidal Razalli Azzuhri\nB.Eng. (UM), M.Sc. (IT) (MUST), PhD (Queensland)\n: Dr. Erma Rahayu Mohd Faizal Abdullah\n\nKeywords: abdul, artificial, associate, comp, coordinator, dean, dean office, deputy, eng, engineering, intelligence, leadership, mohd, phd, postgraduate, professor, roles, undergraduate, undergraduate dean office"}
+{"kb_id": "RAGKB-0144", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00144", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 2", "pages": [192], "chunk_index": 2, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["comp", "dean", "elect", "eng", "hafizah", "hamid", "japan", "manchester", "oita", "phd", "professor", "siti"], "retrieval_tags": [], "source_text": "B.Comp.Sc. (UM), M.Elect.Eng. (Oita University,\nJapan), PhD (UiTM)\n: Professor Dr. Siti Hafizah Ab Hamid\nB.Comp.Sc. (UTM), M.Sc. (Manchester), PhD (UM)\nDean", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 2\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nB.Comp.Sc. (UM), M.Elect.Eng. (Oita University,\nJapan), PhD (UiTM)\n: Professor Dr. Siti Hafizah Ab Hamid\nB.Comp.Sc. (UTM), M.Sc. (Manchester), PhD (UM)\nDean\n\nKeywords: comp, dean, elect, eng, hafizah, hamid, japan, manchester, oita, phd, professor, siti"}
+{"kb_id": "RAGKB-0145", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00145", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 3", "pages": [193], "chunk_index": 3, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["administrative", "ahmad", "assistant", "che", "clerical/operational", "mohd", "nasir", "nur", "nurul", "office", "rahim", "registrar"], "retrieval_tags": [], "source_text": "STAFF\nAdministration and Support Staff\nAdministrative Manager (N12)\nSenior Assistant Registrar (N10)\nAssistant Registrar (N9)\nDriver (H11)\nAdministrative Assistant\n(Clerical/Operational) (N1)\nGeneral Office Assistant (N11)\nOffice Secretary (N6)\nAssistant Office Secretary (N1)\nSenior Administrative Assistant\n(Clerical/Operational) (N2)\nAccountant Assistant (W5)\nAdministrative Assistant (Finance) (W2)\nAdministrative Assistant Officer (N5)\n: Che Mazni Sidek\n: Noor Yusrina Hashim\n: Balqis Bahari\nNur Nadia Arshad\nNursyahirah Mamat Yasin\nNurul Farhana Mohd Nasir\nSiti Nurul Aisyah Zulzaidi\n: Norazleen Ramli\n: Haida Izwani Che Mahmood\n: Nur Azleen Abdul Rahim\nSiti Nor Anilawatie Muhammad\n: Mohd Afiffudin Mohd Ali\nJulianna Ariff\nNorhayati Mohd Supi\nNorkusharina Nasir\nRohani Mohamed Arifin\nSyahrul Hasnah Ahmad\n: Zunaida Alwadood\n: Nur Hidayah Mohd Sarbini\nNurfatehah M. Zahir\nNurnajwa Husna Mohd Rafi\n: Azeerin Ahmad\nAl Zarinah Awang Mohktar\nFarah Nadhirah Mohd Aznam\nNorhanim Husaini\nNur Izzati Alias\nNurfaziela Ibrahim\nZaleha Sumairi\n: Mohd Fareek Muhiyeddin\nNanthini Krishnan\n: Mohd Haffes Rahim", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 3\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nAdministration and Support Staff\nAdministrative Manager (N12)\nSenior Assistant Registrar (N10)\nAssistant Registrar (N9)\nDriver (H11)\nAdministrative Assistant\n(Clerical/Operational) (N1)\nGeneral Office Assistant (N11)\nOffice Secretary (N6)\nAssistant Office Secretary (N1)\nSenior Administrative Assistant\n(Clerical/Operational) (N2)\nAccountant Assistant (W5)\nAdministrative Assistant (Finance) (W2)\nAdministrative Assistant Officer (N5)\n: Che Mazni Sidek\n: Noor Yusrina Hashim\n: Balqis Bahari\nNur Nadia Arshad\nNursyahirah Mamat Yasin\nNurul Farhana Mohd Nasir\nSiti Nurul Aisyah Zulzaidi\n: Norazleen Ramli\n: Haida Izwani Che Mahmood\n: Nur Azleen Abdul Rahim\nSiti Nor Anilawatie Muhammad\n: Mohd Afiffudin Mohd Ali\nJulianna Ariff\nNorhayati Mohd Supi\nNorkusharina Nasir\nRohani Mohamed Arifin\nSyahrul Hasnah Ahmad\n: Zunaida Alwadood\n: Nur Hidayah Mohd Sarbini\nNurfatehah M. Zahir\nNurnajwa Husna Mohd Rafi\n: Azeerin Ahmad\nAl Zarinah Awang Mohktar\nFarah Nadhirah Mohd Aznam\nNorhanim Husaini\nNur Izzati Alias\nNurfaziela Ibrahim\nZaleha Sumairi\n: Mohd Fareek Muhiyeddin\nNanthini Krishnan\n: Mohd Haffes Rahim\n\nKeywords: administrative, ahmad, assistant, che, clerical/operational, mohd, nasir, nur, nurul, office, rahim, registrar"}
+{"kb_id": "RAGKB-0146", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00146", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 4", "pages": [194], "chunk_index": 4, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abdul", "adnan", "afar", "aizad", "amran", "annuar", "aris", "assistant", "mohd", "officer", "staff", "wan"], "retrieval_tags": [], "source_text": "STAFF\nTechnical Staff\nAssistant Information Technology\nOfficer (FA6)\nAssistant Engineer (JA5)\nAssistant Information Technology\nOfficer (FA5)\nSenior Computer Technician (FT2)\n: Mohd Azizie Aris\nMohd Noor Aizad Morad\nZulkefle Kassim\n: Mohd Farhan Abdul Rahman\n: Azzyaty Razali\nHaryati Masilan\nWan Mohd Hasanul Isyraf Wan Yusoff\n: Jamal Amran\nMohd Annuar Ja’afar\nTun Hairul Farid Ton Hamzah\nNor Azura Adnan", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 4\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nTechnical Staff\nAssistant Information Technology\nOfficer (FA6)\nAssistant Engineer (JA5)\nAssistant Information Technology\nOfficer (FA5)\nSenior Computer Technician (FT2)\n: Mohd Azizie Aris\nMohd Noor Aizad Morad\nZulkefle Kassim\n: Mohd Farhan Abdul Rahman\n: Azzyaty Razali\nHaryati Masilan\nWan Mohd Hasanul Isyraf Wan Yusoff\n: Jamal Amran\nMohd Annuar Ja’afar\nTun Hairul Farid Ton Hamzah\nNor Azura Adnan\n\nKeywords: abdul, adnan, afar, aizad, amran, annuar, aris, assistant, mohd, officer, staff, wan"}
+{"kb_id": "RAGKB-0147", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00147", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 5", "pages": [195], "chunk_index": 5, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["comp", "eng", "engineering", "manchester", "pakistan", "phd", "professor", "raja", "siti", "software", "unisel", "upm"], "retrieval_tags": [], "source_text": "STAFF\nProfessor:\nChiew Thiam Kian, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Glasgow)\nSiti Hafizah Ab Hamid, B.Comp.Sc. (UTM), M.Sc. (Manchester), PhD (UM)\nAssociate Professor:\nMumtaz Begum Peer Mustafa, B.Comp.Sc. (UPM), MSE (UM), PhD (UM)\nRaja Jamilah Raja Yusof, B.Eng. (London), M.Comp.Sc. (UM), PhD (UM)\nSenior Lecturer:\nAdeleh Asemi Zavareh, B.Comp.Sc. (Iran), M.Comp.Sc. (India), PhD (UM)\nChiam Yin Kia, B.Comp.Sc. (UM), M.Sc. (Info. Tech.) (UM), PhD (Australia)\nHema Subramaniam, BSc (IT) (UNISEL), M.Comp.Sc. (UNISEL), PhD (UPM)\nSiti Nurliana Jamalai@Jamali, B.Comp.Sc.Software Engineering (MSU), M.Comp.Sc.Software\nEngineering (UPM), PhD (UPM)\nMohamad Hazim Md Hanif, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Imperial)\nNazean Jomhari, B.Sc. (UKM), M.Sc. (Essex), PhD (Manchester)\nNur Nasuha Mohd Daud, B.Comp.Sc. (UM), PhD (UM)\nOng Sim Ying, B.Comp.Sc. (UM), PhD (UM)\nSu Moon Ting, B.Comp.Sc. (UPM), M.Comp.Sc. (UPM), PhD (Auckland)\nUzair Iqbal, B.SE (Pakistan), M.SE (Pakistan), PhD (UM)\nHead of Department:\nAsmiza Abdul Sani, B.Comp.Sc. (UM), M.Sc. (Soft. Eng.) (UK), PhD (UK)", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 5\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nProfessor:\nChiew Thiam Kian, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Glasgow)\nSiti Hafizah Ab Hamid, B.Comp.Sc. (UTM), M.Sc. (Manchester), PhD (UM)\nAssociate Professor:\nMumtaz Begum Peer Mustafa, B.Comp.Sc. (UPM), MSE (UM), PhD (UM)\nRaja Jamilah Raja Yusof, B.Eng. (London), M.Comp.Sc. (UM), PhD (UM)\nSenior Lecturer:\nAdeleh Asemi Zavareh, B.Comp.Sc. (Iran), M.Comp.Sc. (India), PhD (UM)\nChiam Yin Kia, B.Comp.Sc. (UM), M.Sc. (Info. Tech.) (UM), PhD (Australia)\nHema Subramaniam, BSc (IT) (UNISEL), M.Comp.Sc. (UNISEL), PhD (UPM)\nSiti Nurliana Jamalai@Jamali, B.Comp.Sc.Software Engineering (MSU), M.Comp.Sc.Software\nEngineering (UPM), PhD (UPM)\nMohamad Hazim Md Hanif, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Imperial)\nNazean Jomhari, B.Sc. (UKM), M.Sc. (Essex), PhD (Manchester)\nNur Nasuha Mohd Daud, B.Comp.Sc. (UM), PhD (UM)\nOng Sim Ying, B.Comp.Sc. (UM), PhD (UM)\nSu Moon Ting, B.Comp.Sc. (UPM), M.Comp.Sc. (UPM), PhD (Auckland)\nUzair Iqbal, B.SE (Pakistan), M.SE (Pakistan), PhD (UM)\nHead of Department:\nAsmiza Abdul Sani, B.Comp.Sc. (UM), M.Sc. (Soft. Eng.) (UK), PhD (UK)\n\nKeywords: comp, eng, engineering, manchester, pakistan, phd, professor, raja, siti, software, unisel, upm"}
+{"kb_id": "RAGKB-0148", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00148", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 6", "pages": [196], "chunk_index": 6, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["chee", "comp", "eng", "india", "mmu", "pakistan", "phd", "portsmouth", "professor", "seng", "tech", "usm"], "retrieval_tags": [], "source_text": "STAFF\nProfessor:\nIr.Chan Chee Seng, B.Eng. (MMU), M.Sc. (Portsmouth), PhD (Portsmouth)\nLoo Chu Kiong, B.Mech.Eng. (UM), PhD (USM)\nAssociate Professor:\nTs.Aznul Qalid Md Sabri, B.Comp.Sc. (UM), M. (Vision & Robotics) (Heriot-Watt), M. (Robotic)\n(Uni. De Bourgogne), PhD (France)\nNorisma Idris, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nSenior Lecturer:\nLiew Wei Shiung, M.Eng (UM), B.Eng (MMU), PhD (UM)\nLim Chee Kau, B.Sc. (USM), M.Comp.Sc. (UM), PhD (UM)\nNurul Japar, B.Comp.Sc (UM), PhD (UM)\nSaw Shier Nee, B.Bio.Eng. (UM), PhD (NUS)\nUnaizah Hanum Obaidellah, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nWoo Chaw Seng, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Australia)\nZati Hakim Azizul Hasan, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (New Zealand)\nUzair Istiaq, B.Comp.Sc (Pakistan), M.Comp.Sc (Pakistan), PhD (UM)\nZainab Malik, B.Comp.Sc (Pakistan), M. Phil (Pakistan), PhD (UTM)\nDr Narsimlu Kemsaram, B.Tech (India) M. Tech (India), PhD (India)\nHonorary Professor\nDatin Sameem Abdul Kareem, B.Sc. UM (1986), M.Cs., University of Wales, UK (1992), PhD,\nUM (2002)\nHead of Department:", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 6\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nProfessor:\nIr.Chan Chee Seng, B.Eng. (MMU), M.Sc. (Portsmouth), PhD (Portsmouth)\nLoo Chu Kiong, B.Mech.Eng. (UM), PhD (USM)\nAssociate Professor:\nTs.Aznul Qalid Md Sabri, B.Comp.Sc. (UM), M. (Vision & Robotics) (Heriot-Watt), M. (Robotic)\n(Uni. De Bourgogne), PhD (France)\nNorisma Idris, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nSenior Lecturer:\nLiew Wei Shiung, M.Eng (UM), B.Eng (MMU), PhD (UM)\nLim Chee Kau, B.Sc. (USM), M.Comp.Sc. (UM), PhD (UM)\nNurul Japar, B.Comp.Sc (UM), PhD (UM)\nSaw Shier Nee, B.Bio.Eng. (UM), PhD (NUS)\nUnaizah Hanum Obaidellah, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nWoo Chaw Seng, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (Australia)\nZati Hakim Azizul Hasan, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (New Zealand)\nUzair Istiaq, B.Comp.Sc (Pakistan), M.Comp.Sc (Pakistan), PhD (UM)\nZainab Malik, B.Comp.Sc (Pakistan), M. Phil (Pakistan), PhD (UTM)\nDr Narsimlu Kemsaram, B.Tech (India) M. Tech (India), PhD (India)\nHonorary Professor\nDatin Sameem Abdul Kareem, B.Sc. UM (1986), M.Cs., University of Wales, UK (1992), PhD,\nUM (2002)\nHead of Department:\n\nKeywords: chee, comp, eng, india, mmu, pakistan, phd, portsmouth, professor, seng, tech, usm"}
+{"kb_id": "RAGKB-0149", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00149", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 7", "pages": [196], "chunk_index": 7, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "beng", "department", "electrical", "electronics", "engineering", "intelligence", "japan", "kassim", "muhammad", "phd", "safiruz"], "retrieval_tags": [], "source_text": "Muhammad Shahreeza Safiruz Kassim, BEng (Electrical, Electronics Engineering)\n(Japan), M.Sc (Artificial Intelligence) (UK), PhD (Southampton)\nDEPARTMENT OF ARTIFICIAL INTELLIGENCE", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 7\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nMuhammad Shahreeza Safiruz Kassim, BEng (Electrical, Electronics Engineering)\n(Japan), M.Sc (Artificial Intelligence) (UK), PhD (Southampton)\nDEPARTMENT OF ARTIFICIAL INTELLIGENCE\n\nKeywords: artificial, beng, department, electrical, electronics, engineering, intelligence, japan, kassim, muhammad, phd, safiruz"}
+{"kb_id": "RAGKB-0150", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00150", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 8", "pages": [197], "chunk_index": 8, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["bit", "comp", "eng", "hull", "lecturer", "london", "mohd", "noor", "phd", "professor", "university", "utm"], "retrieval_tags": [], "source_text": "STAFF\nLecturer:\nEmran Mohd Tamil, B.Eng. (UTM), M.Sc. (UiTM)\nFazidah Othman, B.Comp.Sc. (UTM), M.Sc. (UTM)\nNoorzaily Mohamed Noor, B.Sc. (UM), M.Comp.Sc. (UM)\nProfessor:\nTs. Miss Laiha Mat Kiah, B.Comp. Sc. (UM), M.Sc. (London), PhD (London)\nTs. Nor Badrul Anuar Juma’at, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nTs. Rafidah Md Noor, BIT (UUM), M.Sc. (UTM), PhD (Lancaster)\nMohd Yamani Idna Idris, B.Eng. (UM), M.Comp.Sc. (UM), PhD (UM)\nPor Lip Yee @ Por Khoon Sun, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nAssociate Professor:\nTs. Ismail Ahmedy, Dip.Comp.Sc. (UTM), B.Sc. (Computer) (UTM), M.Sc. (Computer Science)\n(Queensland), PhD (UTM)\nAng Tan Fong, BIT (UM), M.Comp.Sc. (UM), PhD (UM)\nLing Teck Chaw,B.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nRosli Salleh, B.Comp.Sc. (UM), M.Sc. (Salford), PhD (Salford)\nTey Kok Soon,B.Eng. (Electrical) (UM), PhD (UM)\nSaaidal Razalli Azzuhri, B.Eng. (UM), M.Sc. (IT) (MUST), PhD (Queensland)\nSenior Lecturer:\nHonorary Professor\nAbdullah Gani, B.Phil. (Hull University), M.Sc. (Information Management) (Hull University), PhD\n(University of Sheffield)", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 8\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nLecturer:\nEmran Mohd Tamil, B.Eng. (UTM), M.Sc. (UiTM)\nFazidah Othman, B.Comp.Sc. (UTM), M.Sc. (UTM)\nNoorzaily Mohamed Noor, B.Sc. (UM), M.Comp.Sc. (UM)\nProfessor:\nTs. Miss Laiha Mat Kiah, B.Comp. Sc. (UM), M.Sc. (London), PhD (London)\nTs. Nor Badrul Anuar Juma’at, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nTs. Rafidah Md Noor, BIT (UUM), M.Sc. (UTM), PhD (Lancaster)\nMohd Yamani Idna Idris, B.Eng. (UM), M.Comp.Sc. (UM), PhD (UM)\nPor Lip Yee @ Por Khoon Sun, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nAssociate Professor:\nTs. Ismail Ahmedy, Dip.Comp.Sc. (UTM), B.Sc. (Computer) (UTM), M.Sc. (Computer Science)\n(Queensland), PhD (UTM)\nAng Tan Fong, BIT (UM), M.Comp.Sc. (UM), PhD (UM)\nLing Teck Chaw,B.Sc. (UM), M.Comp.Sc. (UM), PhD (UM)\nRosli Salleh, B.Comp.Sc. (UM), M.Sc. (Salford), PhD (Salford)\nTey Kok Soon,B.Eng. (Electrical) (UM), PhD (UM)\nSaaidal Razalli Azzuhri, B.Eng. (UM), M.Sc. (IT) (MUST), PhD (Queensland)\nSenior Lecturer:\nHonorary Professor\nAbdullah Gani, B.Phil. (Hull University), M.Sc. (Information Management) (Hull University), PhD\n(University of Sheffield)\n\nKeywords: bit, comp, eng, hull, lecturer, london, mohd, noor, phd, professor, university, utm"}
+{"kb_id": "RAGKB-0151", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00151", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 9", "pages": [197], "chunk_index": 9, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["a/l", "amirrudin", "bit", "bournemouth", "bryan", "btech", "comp", "department", "iium", "london", "muhammad", "phd"], "retrieval_tags": [], "source_text": "Head of Department:\nAmirrudin Kamsin, BIT(UM), M.Sc. (Bournemouth), PhD (London)\nDEPARTMENT OF COMPUTER SYSTEM AND TECHNOLOGY\nBryan Raj A/L Peter Jabaraj, B.Comp.Sc. (UM), PhD (UM)\nMuhammad Faiz Mohd Zaki, B.Comp.Sc. (UM), M.Sc (London), PhD (UM)\nMuhammad Nur Firdaus Sahran, B.Comp.Sc. (UM), PhD (UM)\nBurhan Ul Islam Khan, BTech (Pulwama), M.Sc. (Computer and Information Engineering) (IIUM),\nPhD (IIUM)", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 9\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nHead of Department:\nAmirrudin Kamsin, BIT(UM), M.Sc. (Bournemouth), PhD (London)\nDEPARTMENT OF COMPUTER SYSTEM AND TECHNOLOGY\nBryan Raj A/L Peter Jabaraj, B.Comp.Sc. (UM), PhD (UM)\nMuhammad Faiz Mohd Zaki, B.Comp.Sc. (UM), M.Sc (London), PhD (UM)\nMuhammad Nur Firdaus Sahran, B.Comp.Sc. (UM), PhD (UM)\nBurhan Ul Islam Khan, BTech (Pulwama), M.Sc. (Computer and Information Engineering) (IIUM),\nPhD (IIUM)\n\nKeywords: a/l, amirrudin, bit, bournemouth, bryan, btech, comp, department, iium, london, muhammad, phd"}
+{"kb_id": "RAGKB-0152", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00152", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 10", "pages": [198], "chunk_index": 10, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abdul", "abdullah", "bath", "comp", "idayu", "lecturer", "london", "mas", "phd", "professor", "sabri", "upm"], "retrieval_tags": [], "source_text": "STAFF\nLecturer:\nHannyzzura Pal @ Affal, B.Comp.Sc. (UM), M.Sc. (London)\nMas Idayu Md. Sabri, B.Comp.Sc. (UM), M.Sc. (Bath)\nNornazlita Hussin, B.Comp.Sc. (UM), M.Sc. (Bath)\nProfessor:\nTs.Ainuddin Wahid Abdul Wahab, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nAssociate Professor:\nAmirrudin Kamsin, BIT (UM), M.Sc. (Bournemouth), PhD (London)\nMohamad Nizam Ayub, B.Comp.Sc. (UM), M.Sc. (Edinburgh), PhD (UK)\nNor Aniza Abdullah, B.Comp.Sc. (UM), M.Sc. (London), PhD (Southampton)\nSenior Lecturer:\nNurul Fazmidar Mohd Noor, B.Comp.Sc. (UM), M.Sc. (Liverpool), PhD (UK)\nRasha Ragheb Attaallah, B.Comp Edu (Al Aqsa), M.Sc. (Islamic university Gaza), PhD (UM)\nSuzan Jabbar Obaiys, B.Sc. (Iraq), M.Sc. (UPM), PhD (UPM)\nMULTIMEDIA UNIT\nCoordinator Programme:\nMas Idayu Md. Sabri, B.Comp.Sc. (UM), M.Sc. (Bath)", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 10\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nLecturer:\nHannyzzura Pal @ Affal, B.Comp.Sc. (UM), M.Sc. (London)\nMas Idayu Md. Sabri, B.Comp.Sc. (UM), M.Sc. (Bath)\nNornazlita Hussin, B.Comp.Sc. (UM), M.Sc. (Bath)\nProfessor:\nTs.Ainuddin Wahid Abdul Wahab, B.Comp.Sc. (UM), M.Comp.Sc. (UM), PhD (UK)\nAssociate Professor:\nAmirrudin Kamsin, BIT (UM), M.Sc. (Bournemouth), PhD (London)\nMohamad Nizam Ayub, B.Comp.Sc. (UM), M.Sc. (Edinburgh), PhD (UK)\nNor Aniza Abdullah, B.Comp.Sc. (UM), M.Sc. (London), PhD (Southampton)\nSenior Lecturer:\nNurul Fazmidar Mohd Noor, B.Comp.Sc. (UM), M.Sc. (Liverpool), PhD (UK)\nRasha Ragheb Attaallah, B.Comp Edu (Al Aqsa), M.Sc. (Islamic university Gaza), PhD (UM)\nSuzan Jabbar Obaiys, B.Sc. (Iraq), M.Sc. (UPM), PhD (UPM)\nMULTIMEDIA UNIT\nCoordinator Programme:\nMas Idayu Md. Sabri, B.Comp.Sc. (UM), M.Sc. (Bath)\n\nKeywords: abdul, abdullah, bath, comp, idayu, lecturer, london, mas, phd, professor, sabri, upm"}
+{"kb_id": "RAGKB-0153", "knowledge_group_id": "KG-0005", "source_chunk_id": "SC-00153", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Faculty Staff", "subsection": "Undergraduate Dean's Office and Department Leadership", "title": "Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 11", "pages": [199], "chunk_index": 11, "group_size_chunks": 11, "group_size_qas": 5, "linked_index_ids": ["UMI-0017", "UMI-0199"], "group_canonical_questions": ["Which undergraduate dean's office and department leadership positions are listed in the handbook?", "Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["a/p", "bit", "comp", "department", "melbourne", "mit", "mohd", "mse", "phd", "ukm", "university", "usm"], "retrieval_tags": [], "source_text": "STAFF\nProfessor:\nNor Liyana Mohd Shuib, B.Comp.Sc. (UTM), M.IT (UKM), PhD (UM)\nTeh Ying Wah, B.Sc. (Oklahoma), M.Sc. (Oklahoma), PhD (UM)\nTs. Vimala A/P Balakrishnan, B.Comp.Sc. (USM), M.Sc. (Comp.Sc.) (USM), PhD (MMU)\nAssociate Professor:\nTs.Sri Devi A/P Ravana, BIT (UKM), MSE (UM), PhD (Melbourne)\nAzah Anir Norman, BIT (UKM), M.Sc. (London), PhD (UM)\nNorjihan Abdul Ghani, BIT (UUM), MIT (Sc.) (UKM), PhD (UTM)\nKasturi Dewi A/P Varathan, BIT (Uniten), M.Comp.Sc (MIS) (UM), PhD (UKM)\nMaizatul Akmar Ismail, BIT (UM), M.Sc. (UPM), PhD (UM)\nSuraya Hamid, BIT (UKM), MIT (UKM), PhD (Melbourne)\nTutut Herawan, B.Ed (Ahmad Dahlan University), M.Sc. (Gadjah Mada University), PhD (UTHM)\nSenior Lecturer:\nTs. Mohd Shahrul Nizam Bin Mohd Danuri, BSc (USM), M.Sc (UKM), PhD (UITM)\nRiyaz Ahamed Ariyaluran Habeeb, B.E (CS) (Sathyabama University), MSE (UM), PhD (UM)\nHead of Department:\nHoo Wai Lam, B.Comp.Sc. (UM), PhD (UM)\nDEPARTMENT OF INFORMATION SYSTEMS", "retrieval_text": "Title: Faculty Staff - Undergraduate Dean's Office and Department Leadership - chunk 11\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Faculty Staff\n\nSubsection: Undergraduate Dean's Office and Department Leadership\n\nCanonical questions:\n- Which undergraduate dean's office and department leadership positions are listed in the handbook?\n- Which faculty management or dean's office roles are specifically tied to undergraduate, postgraduate, research, development, or student affairs?\n\nSource chunk text:\nSTAFF\nProfessor:\nNor Liyana Mohd Shuib, B.Comp.Sc. (UTM), M.IT (UKM), PhD (UM)\nTeh Ying Wah, B.Sc. (Oklahoma), M.Sc. (Oklahoma), PhD (UM)\nTs. Vimala A/P Balakrishnan, B.Comp.Sc. (USM), M.Sc. (Comp.Sc.) (USM), PhD (MMU)\nAssociate Professor:\nTs.Sri Devi A/P Ravana, BIT (UKM), MSE (UM), PhD (Melbourne)\nAzah Anir Norman, BIT (UKM), M.Sc. (London), PhD (UM)\nNorjihan Abdul Ghani, BIT (UUM), MIT (Sc.) (UKM), PhD (UTM)\nKasturi Dewi A/P Varathan, BIT (Uniten), M.Comp.Sc (MIS) (UM), PhD (UKM)\nMaizatul Akmar Ismail, BIT (UM), M.Sc. (UPM), PhD (UM)\nSuraya Hamid, BIT (UKM), MIT (UKM), PhD (Melbourne)\nTutut Herawan, B.Ed (Ahmad Dahlan University), M.Sc. (Gadjah Mada University), PhD (UTHM)\nSenior Lecturer:\nTs. Mohd Shahrul Nizam Bin Mohd Danuri, BSc (USM), M.Sc (UKM), PhD (UITM)\nRiyaz Ahamed Ariyaluran Habeeb, B.E (CS) (Sathyabama University), MSE (UM), PhD (UM)\nHead of Department:\nHoo Wai Lam, B.Comp.Sc. (UM), PhD (UM)\nDEPARTMENT OF INFORMATION SYSTEMS\n\nKeywords: a/p, bit, comp, department, melbourne, mit, mohd, mse, phd, ukm, university, usm"}
+{"kb_id": "RAGKB-0154", "knowledge_group_id": "KG-0085", "source_chunk_id": "SC-00154", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programmes", "subsection": "Programmes Offered", "title": "Undergraduate Programmes - Programmes Offered - chunk 1", "pages": [200], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 20, "linked_index_ids": ["UMI-0066", "UMI-0297", "UMI-0298", "UMI-0299", "UMI-0300", "UMI-0301", "UMI-0302", "UMI-0303"], "group_canonical_questions": ["What undergraduate programmes are offered by the faculty?", "Is Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Information Systems) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Multimedia Computing) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?", "How many undergraduate Bachelor of Computer Science specializations are listed in the handbook?"], "chunk_question_variants": ["What undergraduate programmes are offered by the faculty?", "Is Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Information Systems) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Multimedia Computing) listed among the undergraduate programmes offered by the faculty?", "Is Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?", "How many undergraduate Bachelor of Computer Science specializations are listed in the handbook?", "Could you tell me what undergraduate programmes are offered by the faculty?", "Real quick, what undergraduate programmes are offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?", "Hey, is Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Information Systems) listed among the undergraduate programmes offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?", "Low-key, is Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Multimedia Computing) listed among the undergraduate programmes offered by the faculty?", "Can you clarify whether Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?", "BTW, is Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?", "Could you explain how many undergraduate Bachelor of Computer Science specializations are listed in the handbook?"], "matched_qa_ids": ["qa_000066", "qa_000297", "qa_000298", "qa_000299", "qa_000300", "qa_000301", "qa_000302", "qa_000303", "qa_000522", "qa_000523", "qa_000860", "qa_000861", "qa_000862", "qa_000863", "qa_000864", "qa_000865", "qa_000866", "qa_000867", "qa_000868", "qa_000869"], "grounded_answer_bank": ["The faculty offers six undergraduate programmes: Bachelor of Computer Science (Computer System and Network), Bachelor of Computer Science (Artificial Intelligence), Bachelor of Computer Science (Information Systems), Bachelor of Computer Science (Software Engineering), Bachelor of Computer Science (Multimedia Computing), and Bachelor of Computer Science (Data Science).", "Yes. Bachelor of Computer Science (Computer System and Network) is listed among the faculty's six undergraduate programmes.", "Yes. Bachelor of Computer Science (Artificial Intelligence) is listed among the faculty's six undergraduate programmes.", "Yes. Bachelor of Computer Science (Information Systems) is listed among the faculty's six undergraduate programmes.", "Yes. Bachelor of Computer Science (Software Engineering) is listed among the faculty's six undergraduate programmes.", "Yes. Bachelor of Computer Science (Multimedia Computing) is listed among the faculty's six undergraduate programmes.", "Yes. Bachelor of Computer Science (Data Science) is listed among the faculty's six undergraduate programmes.", "Six undergraduate Bachelor of Computer Science specializations: Computer System and Network, Artificial Intelligence, Information Systems, Software Engineering, Multimedia Computing, and Data Science."], "retrieval_keywords": ["Bachelor of Computer Science (Artificial Intelligence)", "Bachelor of Computer Science (Computer System and Network)", "Bachelor of Computer Science (Data Science)", "Bachelor of Computer Science (Information Systems)", "Bachelor of Computer Science (Multimedia Computing)", "Bachelor of Computer Science (Software Engineering)", "artificial", "bachelor", "bachelor of computer science", "computing", "data", "engineering", "follows", "intelligence", "multimedia", "network", "number of programmes", "offered", "programmes", "programmes offered", "six", "specializations"], "retrieval_tags": ["programmes_offered", "undergraduate", "undergraduate_programmes"], "source_text": "PROGRAMMES OFFERED\nThere are six (6) programmes offered under the Computer Science as follows:\n1.Bachelor of Computer Science (Computer System and Network)\n2.Bachelor of Computer Science (Artificial Intelligence)\n3.Bachelor of Computer Science (Information Systems)\n4.Bachelor of Computer Science (Software Engineering)\n5.Bachelor of Computer Science (Multimedia Computing)\n6.Bachelor of Computer Science (Data Science)", "retrieval_text": "Title: Undergraduate Programmes - Programmes Offered - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programmes\n\nSubsection: Programmes Offered\n\nCanonical questions:\n- What undergraduate programmes are offered by the faculty?\n- Is Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Information Systems) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Multimedia Computing) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?\n- How many undergraduate Bachelor of Computer Science specializations are listed in the handbook?\n\nQuestion variants:\n- What undergraduate programmes are offered by the faculty?\n- Is Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Information Systems) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Software Engineering) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Multimedia Computing) listed among the undergraduate programmes offered by the faculty?\n- Is Bachelor of Computer Science (Data Science) listed among the undergraduate programmes offered by the faculty?\n- How many undergraduate Bachelor of Computer Science specializations are listed in the handbook?\n- Could you tell me what undergraduate programmes are offered by the faculty?\n- Real quick, what undergraduate programmes are offered by the faculty?\n- Can you clarify whether Bachelor of Computer Science (Computer System and Network) listed among the undergraduate programmes offered by the faculty?\n- Can you clarify whether Bachelor of Computer Science (Artificial Intelligence) listed among the undergraduate programmes offered by the faculty?\n\nGrounded answer bank:\n- The faculty offers six undergraduate programmes: Bachelor of Computer Science (Computer System and Network), Bachelor of Computer Science (Artificial Intelligence), Bachelor of Computer Science (Information Systems), Bachelor of Computer Science (Software Engineering), Bachelor of Computer Science (Multimedia Computing), and Bachelor of Computer Science (Data Science).\n- Yes. Bachelor of Computer Science (Computer System and Network) is listed among the faculty's six undergraduate programmes.\n- Yes. Bachelor of Computer Science (Artificial Intelligence) is listed among the faculty's six undergraduate programmes.\n- Yes. Bachelor of Computer Science (Information Systems) is listed among the faculty's six undergraduate programmes.\n- Yes. Bachelor of Computer Science (Software Engineering) is listed among the faculty's six undergraduate programmes.\n- Yes. Bachelor of Computer Science (Multimedia Computing) is listed among the faculty's six undergraduate programmes.\n- Yes. Bachelor of Computer Science (Data Science) is listed among the faculty's six undergraduate programmes.\n- Six undergraduate Bachelor of Computer Science specializations: Computer System and Network, Artificial Intelligence, Information Systems, Software Engineering, Multimedia Computing, and Data Science.\n\nSource chunk text:\nPROGRAMMES OFFERED\nThere are six (6) programmes offered under the Computer Science as follows:\n1.Bachelor of Computer Science (Computer System and Network)\n2.Bachelor of Computer Science (Artificial Intelligence)\n3.Bachelor of Computer Science (Information Systems)\n4.Bachelor of Computer Science (Software Engineering)\n5.Bachelor of Computer Science (Multimedia Computing)\n6.Bachelor of Computer Science (Data Science)\n\nKeywords: Bachelor of Computer Science (Artificial Intelligence), Bachelor of Computer Science (Computer System and Network), Bachelor of Computer Science (Data Science), Bachelor of Computer Science (Information Systems), Bachelor of Computer Science (Multimedia Computing), Bachelor of Computer Science (Software Engineering), artificial, bachelor, bachelor of computer science, computing, data, engineering, follows, intelligence, multimedia, network, number of programmes, offered, programmes, programmes offered, six, specializations"}
+{"kb_id": "RAGKB-0155", "knowledge_group_id": "KG-0077", "source_chunk_id": "SC-00155", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "University Courses", "title": "Shared Undergraduate Curriculum - University Courses - chunk 1", "pages": [226], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 7, "linked_index_ids": ["UMI-0079", "UMI-0328", "UMI-0329"], "group_canonical_questions": ["What courses are listed under university courses?", "What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?"], "chunk_question_variants": ["What courses are listed under university courses?"], "matched_qa_ids": ["qa_000079"], "grounded_answer_bank": ["University courses as a curriculum table listing the approved course codes, course titles, credit values, and semester arrangement for that part of the programme."], "retrieval_keywords": ["University Courses", "assessment", "basic", "business", "course", "courses", "credit", "current", "development", "english", "entrepreneurial", "entrepreneurship", "explain", "instruction"], "retrieval_tags": ["shared_undergraduate_curriculum", "undergraduate", "university_courses"], "source_text": "GIG1003,\nBASIC ENTREPRENEURSHIP ENCULTURATION\nCredit: 2\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic concepts of entrepreneurship.\n2. Producing — creative. © and_—_—innovative\nentrepreneurial ideas.\n3. Develop a business plan framework.\n‘Synopsis of Course Content\nThe course will attempt to inculcate the basic\nelements of entrepreneurship in the students.\ninitiatives are taken to open their minds and\nmotivate the entrepreneurial spirit in this potential\ntarget group. The course encompasses theory and\ndevelopment of entrepreneurship, factors affecting\nentrepreneurship, entrepreneurship development in\nMalaysia, ethics of entrepreneurship, creativity and\ninnovation in entrepreneurship and developing\nbusiness plans. This course also incorporates a\ndirect exposure to entrepreneurial mindset, skills\nand competencies.\nAssessment Methods\nContinuous Assessment: 100%\nGIG1012\nPHILOSOPHY AND CURRENT ISSUES\nCredit\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain current issues based on philosophy, the", "retrieval_text": "Title: Shared Undergraduate Curriculum - University Courses - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: University Courses\n\nCanonical questions:\n- What courses are listed under university courses?\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n\nQuestion variants:\n- What courses are listed under university courses?\n\nGrounded answer bank:\n- University courses as a curriculum table listing the approved course codes, course titles, credit values, and semester arrangement for that part of the programme.\n\nSource chunk text:\nGIG1003,\nBASIC ENTREPRENEURSHIP ENCULTURATION\nCredit: 2\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic concepts of entrepreneurship.\n2. Producing — creative. © and_—_—innovative\nentrepreneurial ideas.\n3. Develop a business plan framework.\n‘Synopsis of Course Content\nThe course will attempt to inculcate the basic\nelements of entrepreneurship in the students.\ninitiatives are taken to open their minds and\nmotivate the entrepreneurial spirit in this potential\ntarget group. The course encompasses theory and\ndevelopment of entrepreneurship, factors affecting\nentrepreneurship, entrepreneurship development in\nMalaysia, ethics of entrepreneurship, creativity and\ninnovation in entrepreneurship and developing\nbusiness plans. This course also incorporates a\ndirect exposure to entrepreneurial mindset, skills\nand competencies.\nAssessment Methods\nContinuous Assessment: 100%\nGIG1012\nPHILOSOPHY AND CURRENT ISSUES\nCredit\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain current issues based on philosophy, the\n\nKeywords: University Courses, assessment, basic, business, course, courses, credit, current, development, english, entrepreneurial, entrepreneurship, explain, instruction"}
+{"kb_id": "RAGKB-0156", "knowledge_group_id": "KG-0077", "source_chunk_id": "SC-00156", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "University Courses", "title": "Shared Undergraduate Curriculum - University Courses - chunk 2", "pages": [226], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 7, "linked_index_ids": ["UMI-0079", "UMI-0328", "UMI-0329"], "group_canonical_questions": ["What courses are listed under university courses?", "What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?"], "chunk_question_variants": ["Could you tell me what courses are listed under university courses?"], "matched_qa_ids": ["qa_000542"], "grounded_answer_bank": ["University courses as a curriculum table listing the approved course codes, course titles, credit values, and semester arrangement for that part of the programme."], "retrieval_keywords": ["University Courses", "assessment", "basis", "course", "courses", "current", "dialogue", "education", "ethics", "explain", "fostering", "inter-cultural", "issues", "philosophy"], "retrieval_tags": ["shared_undergraduate_curriculum", "undergraduate", "university_courses"], "source_text": "Philosophy of National Education and the Rukun\nNegara.\n2. Explain current issues based on the main of\nthoughts from the various streams of philosophy.\n3. Explain current issues through a comparative\nperspective of philosophy as a basis for\nestablishing inter-cultural dialogue.\n‘Synopsis of Course Content\nThis course covers philosophical relations with the\nPhilosophy of National Education and Rukun\nNegara. The use of philosophy as a tool to purify\nthe culture of thought in life through the arts and\nmethods of thinking and human concepts. The main\ntopics in philosophy are epistemology, metaphysics\nand ethics discussed in the context of current\nissues, Emphasis is given to philosophy as a basis\nfor fostering inter-cultural dialogue and fostering\none's values. At the end of this course students will\nbe able to see the disciplines of science as one\ncomprehensive body of knowledge and related to\neach other.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nGIG1013\nAPPRECIATION OF ETHICS AND CIVILISATIONS\nCredit; 2\nCourse Pre-requisite(s): None", "retrieval_text": "Title: Shared Undergraduate Curriculum - University Courses - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: University Courses\n\nCanonical questions:\n- What courses are listed under university courses?\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n\nQuestion variants:\n- Could you tell me what courses are listed under university courses?\n\nGrounded answer bank:\n- University courses as a curriculum table listing the approved course codes, course titles, credit values, and semester arrangement for that part of the programme.\n\nSource chunk text:\nPhilosophy of National Education and the Rukun\nNegara.\n2. Explain current issues based on the main of\nthoughts from the various streams of philosophy.\n3. Explain current issues through a comparative\nperspective of philosophy as a basis for\nestablishing inter-cultural dialogue.\n‘Synopsis of Course Content\nThis course covers philosophical relations with the\nPhilosophy of National Education and Rukun\nNegara. The use of philosophy as a tool to purify\nthe culture of thought in life through the arts and\nmethods of thinking and human concepts. The main\ntopics in philosophy are epistemology, metaphysics\nand ethics discussed in the context of current\nissues, Emphasis is given to philosophy as a basis\nfor fostering inter-cultural dialogue and fostering\none's values. At the end of this course students will\nbe able to see the disciplines of science as one\ncomprehensive body of knowledge and related to\neach other.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nGIG1013\nAPPRECIATION OF ETHICS AND CIVILISATIONS\nCredit; 2\nCourse Pre-requisite(s): None\n\nKeywords: University Courses, assessment, basis, course, courses, current, dialogue, education, ethics, explain, fostering, inter-cultural, issues, philosophy"}
+{"kb_id": "RAGKB-0157", "knowledge_group_id": "KG-0077", "source_chunk_id": "SC-00157", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "University Courses", "title": "Shared Undergraduate Curriculum - University Courses - chunk 3", "pages": [226], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 7, "linked_index_ids": ["UMI-0079", "UMI-0328", "UMI-0329"], "group_canonical_questions": ["What courses are listed under university courses?", "What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "civilization", "concepts", "contemporary", "course", "culture", "different", "ethical", "ethics", "issues", "perspective", "social"], "retrieval_tags": [], "source_text": "Medium of Instruction: English\nLearning Outcomes\n1. Explain the ethical\ncivilizations.\n2. Compare systems, levels of development, social\nprogress and culture across nationalities.\n3. Discuss contemporary issues related to\neconomics, politics, the social, the environment\nand culture from the perspective of ethics and\ncivilization\nconcepts of different\n‘Synopsis of Course Content\nThis course discusses ethical concepts from\ndifferent civilization perspectives. It aims to identify\nthe systems, developmental stages, progress and\nculture of a nation in strengthening social cohesion.\nIn addition, discussions on contemporary issues in\nthe economic, political, social, cultural and\nenvironmental aspects from an ethical and civil\nperspective can produce students who are morally\nand professionally sound. The application of\nappropriate High Impact Education Practices\n(HIEPs) is used in the delivery of this course. At the\nend of this course students will be able to relate\nethics and civic-minded citizenship.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nGiG1017", "retrieval_text": "Title: Shared Undergraduate Curriculum - University Courses - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: University Courses\n\nCanonical questions:\n- What courses are listed under university courses?\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n\nSource chunk text:\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the ethical\ncivilizations.\n2. Compare systems, levels of development, social\nprogress and culture across nationalities.\n3. Discuss contemporary issues related to\neconomics, politics, the social, the environment\nand culture from the perspective of ethics and\ncivilization\nconcepts of different\n‘Synopsis of Course Content\nThis course discusses ethical concepts from\ndifferent civilization perspectives. It aims to identify\nthe systems, developmental stages, progress and\nculture of a nation in strengthening social cohesion.\nIn addition, discussions on contemporary issues in\nthe economic, political, social, cultural and\nenvironmental aspects from an ethical and civil\nperspective can produce students who are morally\nand professionally sound. The application of\nappropriate High Impact Education Practices\n(HIEPs) is used in the delivery of this course. At the\nend of this course students will be able to relate\nethics and civic-minded citizenship.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nGiG1017\n\nKeywords: assessment, civilization, concepts, contemporary, course, culture, different, ethical, ethics, issues, perspective, social"}
+{"kb_id": "RAGKB-0158", "knowledge_group_id": "KG-0077", "source_chunk_id": "SC-00158", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "University Courses", "title": "Shared Undergraduate Curriculum - University Courses - chunk 4", "pages": [226], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 7, "linked_index_ids": ["UMI-0079", "UMI-0328", "UMI-0329"], "group_canonical_questions": ["What courses are listed under university courses?", "What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["basic", "content", "correctly", "course", "credit", "demonstrate", "english", "expressions", "instruction", "language", "malay", "simple"], "retrieval_tags": [], "source_text": "BASIC MALAY LANGUAGE\nCredit: 2\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Read syllables, words, phrases or expressions\nin Malay correctly.\n2, Demonstrate spoken and written skills using\nsimple Malay.\n3. Write short paragraphs on selected topics using\nsimple language styles.\n‘Synopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - University Courses - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: University Courses\n\nCanonical questions:\n- What courses are listed under university courses?\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n\nSource chunk text:\nBASIC MALAY LANGUAGE\nCredit: 2\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Read syllables, words, phrases or expressions\nin Malay correctly.\n2, Demonstrate spoken and written skills using\nsimple Malay.\n3. Write short paragraphs on selected topics using\nsimple language styles.\n‘Synopsis of Course Content\n\nKeywords: basic, content, correctly, course, credit, demonstrate, english, expressions, instruction, language, malay, simple"}
+{"kb_id": "RAGKB-0159", "knowledge_group_id": "KG-0077", "source_chunk_id": "SC-00159", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "University Courses", "title": "Shared Undergraduate Curriculum - University Courses - chunk 5", "pages": [227], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 7, "linked_index_ids": ["UMI-0079", "UMI-0328", "UMI-0329"], "group_canonical_questions": ["What courses are listed under university courses?", "What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?"], "chunk_question_variants": ["What is the role of university courses within the shared undergraduate curriculum?", "How should students interpret or use the university courses list when planning their studies?", "Could you explain the role of university courses within the shared undergraduate curriculum?", "Quick one: what's the role of university courses within the shared undergraduate curriculum?", "Could you explain how should students interpret or use the university courses list when planning their studies?"], "matched_qa_ids": ["qa_000328", "qa_000329", "qa_000906", "qa_000907", "qa_000908"], "grounded_answer_bank": ["Within the shared undergraduate curriculum, the university courses provide common institutional and general-education requirements that all students complete alongside faculty and programme-specific courses.", "Students should use the university courses list as the shared university-level component of their study plan and schedule those courses alongside faculty core, programme core, and specialization requirements."], "retrieval_keywords": ["University Courses", "assessment", "basic", "communication", "continuous", "course", "emphasis", "emphasises", "enrolled", "examination", "exercises", "malay", "shared undergraduate curriculum", "skills", "study planning"], "retrieval_tags": ["shared_undergraduate_curriculum", "undergraduate", "university_courses"], "source_text": "This course emphasises mastering basic skills in\nMalay for Intemational students enrolled in the\nundergraduate study programmes, The course\nincludes four skills, which are pronunciation and\n‘speaking; listening, reading and writing in Malay for\nbasic communication. Emphasis is given to oral and\nwritten exercises.\nAssessment Methods\nContinuous Assessment: 60%\nFinal Examination: 40%", "retrieval_text": "Title: Shared Undergraduate Curriculum - University Courses - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: University Courses\n\nCanonical questions:\n- What courses are listed under university courses?\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n\nQuestion variants:\n- What is the role of university courses within the shared undergraduate curriculum?\n- How should students interpret or use the university courses list when planning their studies?\n- Could you explain the role of university courses within the shared undergraduate curriculum?\n- Quick one: what's the role of university courses within the shared undergraduate curriculum?\n- Could you explain how should students interpret or use the university courses list when planning their studies?\n\nGrounded answer bank:\n- Within the shared undergraduate curriculum, the university courses provide common institutional and general-education requirements that all students complete alongside faculty and programme-specific courses.\n- Students should use the university courses list as the shared university-level component of their study plan and schedule those courses alongside faculty core, programme core, and specialization requirements.\n\nSource chunk text:\nThis course emphasises mastering basic skills in\nMalay for Intemational students enrolled in the\nundergraduate study programmes, The course\nincludes four skills, which are pronunciation and\n‘speaking; listening, reading and writing in Malay for\nbasic communication. Emphasis is given to oral and\nwritten exercises.\nAssessment Methods\nContinuous Assessment: 60%\nFinal Examination: 40%\n\nKeywords: University Courses, assessment, basic, communication, continuous, course, emphasis, emphasises, enrolled, examination, exercises, malay, shared undergraduate curriculum, skills, study planning"}
+{"kb_id": "RAGKB-0160", "knowledge_group_id": "KG-0069", "source_chunk_id": "SC-00160", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Faculty Core Courses", "title": "Shared Undergraduate Curriculum - Faculty Core Courses - chunk 1", "pages": [229], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0080", "UMI-0330", "UMI-0331"], "group_canonical_questions": ["What courses are listed under faculty core courses?", "What is the role of faculty core courses within the shared undergraduate curriculum?", "How should students interpret or use the faculty core courses list when planning their studies?"], "chunk_question_variants": ["What courses are listed under faculty core courses?", "Could you tell me what courses are listed under faculty core courses?", "BTW, what courses are listed under faculty core courses?", "Could you explain the role of faculty core courses within the shared undergraduate curriculum?", "Ngl, what's the role of faculty core courses within the shared undergraduate curriculum?"], "matched_qa_ids": ["qa_000080", "qa_000543", "qa_000544", "qa_000909", "qa_000910"], "grounded_answer_bank": ["Within the shared undergraduate curriculum, the faculty core courses provide the common faculty-level foundation that all students take before or alongside programme-specific specialization study. They build shared computing, technical, and professional competencies across the undergraduate pathways."], "retrieval_keywords": ["Faculty Core Courses", "applications", "assessment", "computing", "concepts", "course", "courses", "covers", "credit", "english", "functions", "fundamental", "mathematics", "shared undergraduate curriculum", "theory"], "retrieval_tags": ["faculty_core_courses", "shared_undergraduate_curriculum", "undergraduate"], "source_text": "WIx1001\nCOMPUTING MATHEMATICS |\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Identify fundamental concepts and terminology\nin computing mathematics.\n2. Solve mathematical proofs using the\nfundamental mathematics concepts.\n3. Apply various computing mathematics.\ntechniques to solve problems.\nSynopsis of Course Content\nThis course covers mathematics and its\napplications in computer science. Topics include\nnumber theory, sets, relations and functions, logic,\ngraphs and trees, matrices, vector and\ncombinatorics. It also covers _ mathematical\napplications in computer science (such as\napplications of sets and functions in program\nsemantics, logic in program specification,\nequivalence and order relations in program\ncomplexity, graphs and trees in game theory,\nmatrices in graphics, number theory in secure\ncommunication).\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIx1002\nFUNDAMENTALS OF PROGRAMMING\nCredit: 5\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes", "retrieval_text": "Title: Shared Undergraduate Curriculum - Faculty Core Courses - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Faculty Core Courses\n\nCanonical questions:\n- What courses are listed under faculty core courses?\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n- How should students interpret or use the faculty core courses list when planning their studies?\n\nQuestion variants:\n- What courses are listed under faculty core courses?\n- Could you tell me what courses are listed under faculty core courses?\n- BTW, what courses are listed under faculty core courses?\n- Could you explain the role of faculty core courses within the shared undergraduate curriculum?\n- Ngl, what's the role of faculty core courses within the shared undergraduate curriculum?\n\nGrounded answer bank:\n- Within the shared undergraduate curriculum, the faculty core courses provide the common faculty-level foundation that all students take before or alongside programme-specific specialization study. They build shared computing, technical, and professional competencies across the undergraduate pathways.\n\nSource chunk text:\nWIx1001\nCOMPUTING MATHEMATICS |\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Identify fundamental concepts and terminology\nin computing mathematics.\n2. Solve mathematical proofs using the\nfundamental mathematics concepts.\n3. Apply various computing mathematics.\ntechniques to solve problems.\nSynopsis of Course Content\nThis course covers mathematics and its\napplications in computer science. Topics include\nnumber theory, sets, relations and functions, logic,\ngraphs and trees, matrices, vector and\ncombinatorics. It also covers _ mathematical\napplications in computer science (such as\napplications of sets and functions in program\nsemantics, logic in program specification,\nequivalence and order relations in program\ncomplexity, graphs and trees in game theory,\nmatrices in graphics, number theory in secure\ncommunication).\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIx1002\nFUNDAMENTALS OF PROGRAMMING\nCredit: 5\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n\nKeywords: Faculty Core Courses, applications, assessment, computing, concepts, course, courses, covers, credit, english, functions, fundamental, mathematics, shared undergraduate curriculum, theory"}
+{"kb_id": "RAGKB-0161", "knowledge_group_id": "KG-0069", "source_chunk_id": "SC-00161", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Faculty Core Courses", "title": "Shared Undergraduate Curriculum - Faculty Core Courses - chunk 2", "pages": [229], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0080", "UMI-0330", "UMI-0331"], "group_canonical_questions": ["What courses are listed under faculty core courses?", "What is the role of faculty core courses within the shared undergraduate curriculum?", "How should students interpret or use the faculty core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "basic", "concepts", "content", "control", "course", "covers", "design", "problem", "programming", "solving", "systems"], "retrieval_tags": [], "source_text": "1. Define the steps of problem solving in\nprogramming.\n2. Rewrite programs that contain errors.\n3. Develop programs based on principles of\nobject-oriented.\nSynopsis of Course Content\nThis course covers problem solving and the\nfundamental of programming. These include\nproblem solving techniques, the basic structure of\ncomputer program, the fundamental concepts of\nobject-oriented programming, data types and\noperations, selection control structures i.e. if and\nswitch, repetition control structures i.e. for, while,\ndo-while, function, array, string, text file, and\nprogramming practice.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwix1003.\nCOMPUTER SYSTEMS AND ORGANIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic computer organization and\nlogic design.\n2. Explain the basic computer systems design,\ncombinational circuit and sequential logic.\n3. Interpret the basic concepts of computer\nsystems operation,\nSynopsis of Course Content\nThis course covers the introduction to computer", "retrieval_text": "Title: Shared Undergraduate Curriculum - Faculty Core Courses - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Faculty Core Courses\n\nCanonical questions:\n- What courses are listed under faculty core courses?\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n- How should students interpret or use the faculty core courses list when planning their studies?\n\nSource chunk text:\n1. Define the steps of problem solving in\nprogramming.\n2. Rewrite programs that contain errors.\n3. Develop programs based on principles of\nobject-oriented.\nSynopsis of Course Content\nThis course covers problem solving and the\nfundamental of programming. These include\nproblem solving techniques, the basic structure of\ncomputer program, the fundamental concepts of\nobject-oriented programming, data types and\noperations, selection control structures i.e. if and\nswitch, repetition control structures i.e. for, while,\ndo-while, function, array, string, text file, and\nprogramming practice.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwix1003.\nCOMPUTER SYSTEMS AND ORGANIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic computer organization and\nlogic design.\n2. Explain the basic computer systems design,\ncombinational circuit and sequential logic.\n3. Interpret the basic concepts of computer\nsystems operation,\nSynopsis of Course Content\nThis course covers the introduction to computer\n\nKeywords: assessment, basic, concepts, content, control, course, covers, design, problem, programming, solving, systems"}
+{"kb_id": "RAGKB-0162", "knowledge_group_id": "KG-0069", "source_chunk_id": "SC-00162", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Faculty Core Courses", "title": "Shared Undergraduate Curriculum - Faculty Core Courses - chunk 3", "pages": [229], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0080", "UMI-0330", "UMI-0331"], "group_canonical_questions": ["What courses are listed under faculty core courses?", "What is the role of faculty core courses within the shared undergraduate curriculum?", "How should students interpret or use the faculty core courses list when planning their studies?"], "chunk_question_variants": ["What is the role of faculty core courses within the shared undergraduate curriculum?"], "matched_qa_ids": ["qa_000330"], "grounded_answer_bank": ["Within the shared undergraduate curriculum, the faculty core courses provide the common faculty-level foundation that all students take before or alongside programme-specific specialization study. They build shared computing, technical, and professional competencies across the undergraduate pathways."], "retrieval_keywords": ["Faculty Core Courses", "active", "activities", "assessment", "circuit", "communication", "course", "include", "methods", "shared undergraduate curriculum", "skills", "system", "thinking", "topics"], "retrieval_tags": ["faculty_core_courses", "shared_undergraduate_curriculum", "undergraduate"], "source_text": "systems and organization which includes number\nsystem, Boolean Algebra, basic logic gates,\nfunction simplification, combinational circuit\nlatches and flip-flop, sequential circuit and\naddressing mode. This course also gives an\nintroduction to processor system\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwix2001\n‘THINKING AND COMMUNICATION SKILLS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Apply communication and thinking skills in\nvarious environments.\n2. Plan and implement an entrepreneur activity.\n3. Demonstrate an active, committed and ethical\nrole in course and group activities.\n‘Synopsis of Course Content\nThis course will cover topics to develop effective\ncommunication and critical thinking. Topics for\ncommunication skill include verbal and non-verbal\ncommunication skills, listening skills, presentation\nskills and barriers to communication. Topies taught\nfor the latter include techniques to clarify, analyze\nand evaluate arguments, logical fallacies, problem\nsolving and decision making. Additionally, methods.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Faculty Core Courses - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Faculty Core Courses\n\nCanonical questions:\n- What courses are listed under faculty core courses?\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n- How should students interpret or use the faculty core courses list when planning their studies?\n\nQuestion variants:\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n\nGrounded answer bank:\n- Within the shared undergraduate curriculum, the faculty core courses provide the common faculty-level foundation that all students take before or alongside programme-specific specialization study. They build shared computing, technical, and professional competencies across the undergraduate pathways.\n\nSource chunk text:\nsystems and organization which includes number\nsystem, Boolean Algebra, basic logic gates,\nfunction simplification, combinational circuit\nlatches and flip-flop, sequential circuit and\naddressing mode. This course also gives an\nintroduction to processor system\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwix2001\n‘THINKING AND COMMUNICATION SKILLS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Apply communication and thinking skills in\nvarious environments.\n2. Plan and implement an entrepreneur activity.\n3. Demonstrate an active, committed and ethical\nrole in course and group activities.\n‘Synopsis of Course Content\nThis course will cover topics to develop effective\ncommunication and critical thinking. Topics for\ncommunication skill include verbal and non-verbal\ncommunication skills, listening skills, presentation\nskills and barriers to communication. Topies taught\nfor the latter include techniques to clarify, analyze\nand evaluate arguments, logical fallacies, problem\nsolving and decision making. Additionally, methods.\n\nKeywords: Faculty Core Courses, active, activities, assessment, circuit, communication, course, include, methods, shared undergraduate curriculum, skills, system, thinking, topics"}
+{"kb_id": "RAGKB-0163", "knowledge_group_id": "KG-0069", "source_chunk_id": "SC-00163", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Faculty Core Courses", "title": "Shared Undergraduate Curriculum - Faculty Core Courses - chunk 4", "pages": [229], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0080", "UMI-0330", "UMI-0331"], "group_canonical_questions": ["What courses are listed under faculty core courses?", "What is the role of faculty core courses within the shared undergraduate curriculum?", "How should students interpret or use the faculty core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "assessment", "continuous", "correctly", "course", "develop", "evaluate", "examination", "explained", "final", "find", "methods"], "retrieval_tags": [], "source_text": "to find, evaluate and use information sources\ncorrectly will be explained. The teaching and\nleaming methods for the course able develop\nindividual, leadership and teamwork skills.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Faculty Core Courses - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Faculty Core Courses\n\nCanonical questions:\n- What courses are listed under faculty core courses?\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n- How should students interpret or use the faculty core courses list when planning their studies?\n\nSource chunk text:\nto find, evaluate and use information sources\ncorrectly will be explained. The teaching and\nleaming methods for the course able develop\nindividual, leadership and teamwork skills.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n\nKeywords: able, assessment, continuous, correctly, course, develop, evaluate, examination, explained, final, find, methods"}
+{"kb_id": "RAGKB-0164", "knowledge_group_id": "KG-0069", "source_chunk_id": "SC-00164", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Faculty Core Courses", "title": "Shared Undergraduate Curriculum - Faculty Core Courses - chunk 5", "pages": [230], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0080", "UMI-0330", "UMI-0331"], "group_canonical_questions": ["What courses are listed under faculty core courses?", "What is the role of faculty core courses within the shared undergraduate curriculum?", "How should students interpret or use the faculty core courses list when planning their studies?"], "chunk_question_variants": ["How should students interpret or use the faculty core courses list when planning their studies?", "Could you explain how should students interpret or use the faculty core courses list when planning their studies?"], "matched_qa_ids": ["qa_000331", "qa_000911"], "grounded_answer_bank": ["Students should treat the faculty core courses list as a compulsory shared component of their study plan. They should use the curriculum table to identify the required course codes, titles, credits, and semester placement, and schedule these courses together with university, programme core, and specialization requirements."], "retrieval_keywords": ["Faculty Core Courses", "also", "appropriate", "assessment", "aucit", "closure", "costs", "course", "management", "planning", "project", "shared undergraduate curriculum", "study planning", "techniques", "time"], "retrieval_tags": ["faculty_core_courses", "shared_undergraduate_curriculum", "undergraduate"], "source_text": "wix2002\nPROJECT MANAGEMENT\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Elaborate the purpose and importance of\nproject management from the perspectives of\nplanning, tracking and completion of project.\n2. Identify ‘appropriate techniques. to estimate\nproject time and costs\n3. Perform @ project to track project schedule,\nexpenses, and resources with the use of\nsuitable project management tools.\nSynopsis of Course Content\nThis course introduces the fundamental of\nmanagement concepts, explains topics _on\n‘organizational structures, project planning,\ntechniques for project time and costs estimation\nrisk management, the various issues involved in\nthe management of project _ personnel,\nmeasurement and evaluation of project progress\nand performance, and project control. This course\nalso covers project aucit and closure,\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Faculty Core Courses - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Faculty Core Courses\n\nCanonical questions:\n- What courses are listed under faculty core courses?\n- What is the role of faculty core courses within the shared undergraduate curriculum?\n- How should students interpret or use the faculty core courses list when planning their studies?\n\nQuestion variants:\n- How should students interpret or use the faculty core courses list when planning their studies?\n- Could you explain how should students interpret or use the faculty core courses list when planning their studies?\n\nGrounded answer bank:\n- Students should treat the faculty core courses list as a compulsory shared component of their study plan. They should use the curriculum table to identify the required course codes, titles, credits, and semester placement, and schedule these courses together with university, programme core, and specialization requirements.\n\nSource chunk text:\nwix2002\nPROJECT MANAGEMENT\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Elaborate the purpose and importance of\nproject management from the perspectives of\nplanning, tracking and completion of project.\n2. Identify ‘appropriate techniques. to estimate\nproject time and costs\n3. Perform @ project to track project schedule,\nexpenses, and resources with the use of\nsuitable project management tools.\nSynopsis of Course Content\nThis course introduces the fundamental of\nmanagement concepts, explains topics _on\n‘organizational structures, project planning,\ntechniques for project time and costs estimation\nrisk management, the various issues involved in\nthe management of project _ personnel,\nmeasurement and evaluation of project progress\nand performance, and project control. This course\nalso covers project aucit and closure,\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n\nKeywords: Faculty Core Courses, also, appropriate, assessment, aucit, closure, costs, course, management, planning, project, shared undergraduate curriculum, study planning, techniques, time"}
+{"kb_id": "RAGKB-0165", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00165", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 1", "pages": [231], "chunk_index": 1, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "bachelor", "computing", "core", "course", "courses", "data", "engineering", "intelligence", "multimedia", "network", "software"], "retrieval_tags": [], "source_text": "PROGRAMME\nCORE COURSES\nCOURSE INFORMATION\nBachelor of Computer Science (Computer System and Network)\nBachelor of Computer Science (Artificial Intelligence)\nBachelor of Computer Science (Information Systems)\nBachelor of Computer Science (Software Engineering)\nBachelor of Computer Science (Multimedia Computing)\nBachelor of Computer Science (Data Science)", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nPROGRAMME\nCORE COURSES\nCOURSE INFORMATION\nBachelor of Computer Science (Computer System and Network)\nBachelor of Computer Science (Artificial Intelligence)\nBachelor of Computer Science (Information Systems)\nBachelor of Computer Science (Software Engineering)\nBachelor of Computer Science (Multimedia Computing)\nBachelor of Computer Science (Data Science)\n\nKeywords: artificial, bachelor, computing, core, course, courses, data, engineering, intelligence, multimedia, network, software"}
+{"kb_id": "RAGKB-0166", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00166", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 2", "pages": [232], "chunk_index": 2, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "business", "concepts", "course", "credit", "data", "english", "instruction", "learning", "managing", "medium", "systems"], "retrieval_tags": [], "source_text": "Wiato01\nINFORMATION SYSTEMS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic information systems concepts\nand principles.\n2. Describe the ecosystem in which information\nsystems are employed.\n3, Determine societal and ethical impacts of\ninformation systems.\nSynopsis of Course Content\nThis course covers the following topics: Overview\nof Information System (IS) (Introduction to IS, I$ in\norganisation): Information Technology Concepts in\nIS; Managing Data and Information; Type of\nBusiness Information Systems; Knowledge\nManagement and Specialized information Systems:\nIS Stakeholders; Planning, Developing, Managing\nand Evaluating IS; Securing Information Systems:\nIS in Society, Business and Industry (Security Issue\nand Privacy, Ethics and IS); and Case study on IS\nin organization\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA1002\nDATA STRUCTURE\nCredit: 5\nCourse Pre-requisite(s): WIX1002\nMedium of Instruction: English\nLearning Outcomes\n1. Define the data structure ADT operations.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nWiato01\nINFORMATION SYSTEMS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic information systems concepts\nand principles.\n2. Describe the ecosystem in which information\nsystems are employed.\n3, Determine societal and ethical impacts of\ninformation systems.\nSynopsis of Course Content\nThis course covers the following topics: Overview\nof Information System (IS) (Introduction to IS, I$ in\norganisation): Information Technology Concepts in\nIS; Managing Data and Information; Type of\nBusiness Information Systems; Knowledge\nManagement and Specialized information Systems:\nIS Stakeholders; Planning, Developing, Managing\nand Evaluating IS; Securing Information Systems:\nIS in Society, Business and Industry (Security Issue\nand Privacy, Ethics and IS); and Case study on IS\nin organization\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA1002\nDATA STRUCTURE\nCredit: 5\nCourse Pre-requisite(s): WIX1002\nMedium of Instruction: English\nLearning Outcomes\n1. Define the data structure ADT operations.\n\nKeywords: assessment, business, concepts, course, credit, data, english, instruction, learning, managing, medium, systems"}
+{"kb_id": "RAGKB-0167", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00167", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 3", "pages": [232], "chunk_index": 3, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abstract", "architecture", "course", "data", "etc", "implement", "instruction", "operations", "structure", "structures", "such", "system"], "retrieval_tags": [], "source_text": "2. Implement the data structure _ internal\noperations.\n3, Develop general-purpose, reusable data\nstructures ‘that implement one or more\nabstractions.\n‘Synopsis of Course Content\nFor any type of query possible on digital data, there\nis @ corresponding data structure supporting it. A\ndata structure can be linear such as array, stack,\nqueue, linked list etc., and non-inear such as\ngraph, trees etc. A central goal in this course is to\nemphasize object-oriented view of data structures\nincluding encapsulation and abstract data types\n(ADTs), and, to lear how these data structures\nwork internally by manipulating arrays, lists and\npointers to perform searching, insertion, deletion,\ntraversing and other operations.\nAssessment Methods\nContinuous Assessme!\nFinal Examination: 50%\n50%\n‘WIA1003\nCOMPUTER SYSTEM ARCHITECTURE\n‘Course Pre-requisite(s): WIX1003\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the concept of top-down approach to\nshow the computer system architecture,\n2. Use basic operation and instruction set\narchitecture.\n3. Explain the difference between computer", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\n2. Implement the data structure _ internal\noperations.\n3, Develop general-purpose, reusable data\nstructures ‘that implement one or more\nabstractions.\n‘Synopsis of Course Content\nFor any type of query possible on digital data, there\nis @ corresponding data structure supporting it. A\ndata structure can be linear such as array, stack,\nqueue, linked list etc., and non-inear such as\ngraph, trees etc. A central goal in this course is to\nemphasize object-oriented view of data structures\nincluding encapsulation and abstract data types\n(ADTs), and, to lear how these data structures\nwork internally by manipulating arrays, lists and\npointers to perform searching, insertion, deletion,\ntraversing and other operations.\nAssessment Methods\nContinuous Assessme!\nFinal Examination: 50%\n50%\n‘WIA1003\nCOMPUTER SYSTEM ARCHITECTURE\n‘Course Pre-requisite(s): WIX1003\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the concept of top-down approach to\nshow the computer system architecture,\n2. Use basic operation and instruction set\narchitecture.\n3. Explain the difference between computer\n\nKeywords: abstract, architecture, course, data, etc, implement, instruction, operations, structure, structures, such, system"}
+{"kb_id": "RAGKB-0168", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00168", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 4", "pages": [232], "chunk_index": 4, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["addressing", "architecture", "assessment", "concepts", "content", "course", "fundamental", "instruction", "network", "routing", "switching", "system"], "retrieval_tags": [], "source_text": "organization and computer architecture,\n‘Synopsis of Course Content\nThis course covers the introduction to computer\narchitecture which includes global system structure,\ninstruction sets, addressing mod, fundamental\nprocessor execution technique, pipelining, RISC\nand CISC design, memory hierarchy, cache\nmemory, bus interconnection, I/O system,\nmultiprocessing system and current topic in\ncomputer architecture,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WIA1005\nNETWORK TECHNOLOGY FOUNDATION\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the protocols, _ architecture,\n‘components, addressing and operations in a\nnetwork,\n2. Explain basic routing and switching concepts.\n3. Solve switching and routing problems in a\nnetwork,\nSynopsis of Course Content\nThis course is designed to provide students with the\nfundamental concepts of computer networking\nwhich include TCP/IP model, IPv4 and IPvé\naddressing, routing and switching. This course will\nexamine several aspects of networking such as", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\norganization and computer architecture,\n‘Synopsis of Course Content\nThis course covers the introduction to computer\narchitecture which includes global system structure,\ninstruction sets, addressing mod, fundamental\nprocessor execution technique, pipelining, RISC\nand CISC design, memory hierarchy, cache\nmemory, bus interconnection, I/O system,\nmultiprocessing system and current topic in\ncomputer architecture,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WIA1005\nNETWORK TECHNOLOGY FOUNDATION\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the protocols, _ architecture,\n‘components, addressing and operations in a\nnetwork,\n2. Explain basic routing and switching concepts.\n3. Solve switching and routing problems in a\nnetwork,\nSynopsis of Course Content\nThis course is designed to provide students with the\nfundamental concepts of computer networking\nwhich include TCP/IP model, IPv4 and IPvé\naddressing, routing and switching. This course will\nexamine several aspects of networking such as\n\nKeywords: addressing, architecture, assessment, concepts, content, course, fundamental, instruction, network, routing, switching, system"}
+{"kb_id": "RAGKB-0169", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00169", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 5", "pages": [232], "chunk_index": 5, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acl", "also", "assessment", "continuous", "course", "dhcp", "emphasis", "examination", "exercises", "final", "methods", "nat"], "retrieval_tags": [], "source_text": "VLAN, ACL, DHCP and NAT. This course also\nemphasis on practical exercises in routing and\nswitching.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nVLAN, ACL, DHCP and NAT. This course also\nemphasis on practical exercises in routing and\nswitching.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: acl, also, assessment, continuous, course, dhcp, emphasis, examination, exercises, final, methods, nat"}
+{"kb_id": "RAGKB-0170", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00170", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 6", "pages": [233], "chunk_index": 6, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "course", "discuss", "face", "input", "leaming", "learning", "machine", "output", "supervised", "unsupervised", "will"], "retrieval_tags": [], "source_text": "‘WIA1006\nMACHINE LEARNING |\nCourse Pre-requisites): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe the fundamental issues and\nchallenges of machine learning,\n2. Understand the underlying _ mathematical\nrelationships within and cross machine learning\nalgorithms and the paradigms of supervised\nand unsupervised learning.\n3. Design various machine leaming algorithms in\na range of real-world applications.\n‘Synopsis of Course Content\nThis course will introduce the field of Machine\nLearning, focusing on the core concepts of\nsupervised and unsupervised learning. In\nsupervised learning we will discuss algorithms\nWhich are trained on input data labelled with a\ndesired output, for instance an image of a face and\nthe name of the person whose face itis and learn a\nfunction mapping from the input to the output,\nUnsupervised leaming aims to discover latent\nstructure in an input signal where no output labels\nare available, an example of which is grouping\nwebpages based on the topics they discuss.\nStudents will learn the algorithms which underpin", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\n‘WIA1006\nMACHINE LEARNING |\nCourse Pre-requisites): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe the fundamental issues and\nchallenges of machine learning,\n2. Understand the underlying _ mathematical\nrelationships within and cross machine learning\nalgorithms and the paradigms of supervised\nand unsupervised learning.\n3. Design various machine leaming algorithms in\na range of real-world applications.\n‘Synopsis of Course Content\nThis course will introduce the field of Machine\nLearning, focusing on the core concepts of\nsupervised and unsupervised learning. In\nsupervised learning we will discuss algorithms\nWhich are trained on input data labelled with a\ndesired output, for instance an image of a face and\nthe name of the person whose face itis and learn a\nfunction mapping from the input to the output,\nUnsupervised leaming aims to discover latent\nstructure in an input signal where no output labels\nare available, an example of which is grouping\nwebpages based on the topics they discuss.\nStudents will learn the algorithms which underpin\n\nKeywords: algorithms, course, discuss, face, input, leaming, learning, machine, output, supervised, unsupervised, will"}
+{"kb_id": "RAGKB-0171", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00171", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 7", "pages": [233], "chunk_index": 7, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "all", "analysis", "application", "assessment", "concepts", "course", "data", "including", "learning", "machine", "technologies"], "retrieval_tags": [], "source_text": "many popular Machine Leaming techniques, as\nwell as developing an understanding of the\ntheoretical relationships between these algorithms.\nThe practical will concern the application of\nmachine learning to a range of reabworld\nproblems\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA1007\nINTRODUCTION TO DATA SCIENCE\nCredit: 3\nCourse Pre-requisites); None\nMedium of Instruction: English\nLearning outsomes\nExplain the key concepts relevant to data\nscience, including all processes in the data\nscience life cycle and data science applications\nin real-world\n2. Determine suitable tools, technologies and the\ncore algorithms underlying an end-to-end data\nscience workflow, including the experimental\ndesign, data collection, mining, analysis, and\npresentation of information derived from\ndatasets.\n3. Interpret the ethical implications on the use of\ndata and technologies in data science process.\n‘Synopsis of Course Content\nThe course is designed to help the student learn\nfundamental concepts of data science. It covers\nwhat, when, who, where why and how (SW 1H) of", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nmany popular Machine Leaming techniques, as\nwell as developing an understanding of the\ntheoretical relationships between these algorithms.\nThe practical will concern the application of\nmachine learning to a range of reabworld\nproblems\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA1007\nINTRODUCTION TO DATA SCIENCE\nCredit: 3\nCourse Pre-requisites); None\nMedium of Instruction: English\nLearning outsomes\nExplain the key concepts relevant to data\nscience, including all processes in the data\nscience life cycle and data science applications\nin real-world\n2. Determine suitable tools, technologies and the\ncore algorithms underlying an end-to-end data\nscience workflow, including the experimental\ndesign, data collection, mining, analysis, and\npresentation of information derived from\ndatasets.\n3. Interpret the ethical implications on the use of\ndata and technologies in data science process.\n‘Synopsis of Course Content\nThe course is designed to help the student learn\nfundamental concepts of data science. It covers\nwhat, when, who, where why and how (SW 1H) of\n\nKeywords: algorithms, all, analysis, application, assessment, concepts, course, data, including, learning, machine, technologies"}
+{"kb_id": "RAGKB-0172", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00172", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 8", "pages": [233], "chunk_index": 8, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "also", "analysis", "application", "appropriate", "assessment", "authoring", "course", "data", "learning", "multimedia", "tools"], "retrieval_tags": [], "source_text": "data science in the era of big data. Also\nencompass, the life cycle of data science from data\npreparation, data processing, data cleansing and\nintegration, to data analysis and visualization of\ndata in data-criven decision making. The role of\ndata scientist, the knowledge and skills\nrequired are also presented. Machine learning\nalgorithms and statistical models are included.\nDiverse technologies, programming languages es\nwell as tools in data science are discussed.\nAssessment Methods\nContinuous Assessment: 60%\nFinal Examination: 40%\n‘wiA1008\nFUNDAMENTAL OF MULTIMEDIA\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the principles of each element of a\nmultimedia system.\n2. Evaluate the design of a multimedia application\nand provide recommendations for improvement\n3. Develop @ multimedia application development\nthrough multiple elements creation and\nmanipulation using appropriate multimedia\nediting and authoring tools,\n‘Synopsis of Course Content\nDuring the course, students will be introduced to", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\ndata science in the era of big data. Also\nencompass, the life cycle of data science from data\npreparation, data processing, data cleansing and\nintegration, to data analysis and visualization of\ndata in data-criven decision making. The role of\ndata scientist, the knowledge and skills\nrequired are also presented. Machine learning\nalgorithms and statistical models are included.\nDiverse technologies, programming languages es\nwell as tools in data science are discussed.\nAssessment Methods\nContinuous Assessment: 60%\nFinal Examination: 40%\n‘wiA1008\nFUNDAMENTAL OF MULTIMEDIA\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the principles of each element of a\nmultimedia system.\n2. Evaluate the design of a multimedia application\nand provide recommendations for improvement\n3. Develop @ multimedia application development\nthrough multiple elements creation and\nmanipulation using appropriate multimedia\nediting and authoring tools,\n‘Synopsis of Course Content\nDuring the course, students will be introduced to\n\nKeywords: algorithms, also, analysis, application, appropriate, assessment, authoring, course, data, learning, multimedia, tools"}
+{"kb_id": "RAGKB-0173", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00173", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 9", "pages": [233], "chunk_index": 9, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["adobe", "also", "animate", "animation", "assessment", "audacity", "audio", "compression", "editing", "elements", "multimedia", "will"], "retrieval_tags": [], "source_text": "the main elements of the multimedia system\nincluding texts, images and graphics, audio, video\nand animation. Students will be taught the process\nof editing multimedia elements using editing tools\nsuch as Adobe Photoshop, illustrator, Animate,\nRush, and Audacity, Students will also be exposed\nto issues related to data compression, security, and\ncurrent multimedia technology.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nthe main elements of the multimedia system\nincluding texts, images and graphics, audio, video\nand animation. Students will be taught the process\nof editing multimedia elements using editing tools\nsuch as Adobe Photoshop, illustrator, Animate,\nRush, and Audacity, Students will also be exposed\nto issues related to data compression, security, and\ncurrent multimedia technology.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: adobe, also, animate, animation, assessment, audacity, audio, compression, editing, elements, multimedia, will"}
+{"kb_id": "RAGKB-0174", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00174", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 10", "pages": [234], "chunk_index": 10, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "concepts", "course", "credit", "database", "dbms", "design", "english", "instruction", "learning", "management", "system"], "retrieval_tags": [], "source_text": "wia2001\nDATABASE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concepts in database,\n2. Design a database system for an application or\n‘small business.\n3. Implement the database design using @\nDatabase Management System (DBMS),\nSynopsis of Course Content\nThis course introduces the concepts of file-based\nsystems vs DBMS. It provides students with the\nknowledge of database architecture, models, and\nprocesses necessary for using, designing, and\nimplementing database systems and ap\nStudents will have hands on sessions to use DBMS\nand write SQL commands. Database applications\nwill be developed based on case studies.\nTransaction management topics and other issues\nrelated to database management system are also\ndiscussed,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwia2002\nSOFTWARE MODELLING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the concepts of software modelling,\n2 Consiet’ sofware model using the UML\nnotation", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nwia2001\nDATABASE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concepts in database,\n2. Design a database system for an application or\n‘small business.\n3. Implement the database design using @\nDatabase Management System (DBMS),\nSynopsis of Course Content\nThis course introduces the concepts of file-based\nsystems vs DBMS. It provides students with the\nknowledge of database architecture, models, and\nprocesses necessary for using, designing, and\nimplementing database systems and ap\nStudents will have hands on sessions to use DBMS\nand write SQL commands. Database applications\nwill be developed based on case studies.\nTransaction management topics and other issues\nrelated to database management system are also\ndiscussed,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwia2002\nSOFTWARE MODELLING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the concepts of software modelling,\n2 Consiet’ sofware model using the UML\nnotation\n\nKeywords: assessment, concepts, course, credit, database, dbms, design, english, instruction, learning, management, system"}
+{"kb_id": "RAGKB-0175", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00175", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 11", "pages": [234], "chunk_index": 11, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "basic", "case", "concepts", "course", "design", "modelling", "probability", "statistical", "system", "uml", "use"], "retrieval_tags": [], "source_text": "3. Use a UML CASE tool to produce and manage\nsoftware models.\n‘Synopsis of Course Contents\nThis course covers object-oriented modelling\nconcepts in system design using Unified Modelling\nLanguage (UML). Topies include basic concepts of\nmodelling in system design, key differences\nbetween the structured and objectriented\nparadigm, design of a software system using\nstructural and behavioral diagrams, use of an\nobject-oriented case tool to construct various UML\ndiagrams and generate source codes, consistency\nchecking of UML model.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2003\nPROBABILITY AND STATISTICS\nCredit: S\nCourse Pre-requisite(s): None\nMedium of Instructi\n: English\nLearning Outcomes\n1. Explain probabilistic and statistical concepts.\n2. Use basic probabilistic and statistical concepts.\n3. Employ the appropriate statistical tests to\nanalyze data.\n‘Synopsis of Course Content\nThis course provides an introduction to probability\nand statistics concepts which includes Introductory\nNotions, Conditional Probability, Bayes Theorem,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\n3. Use a UML CASE tool to produce and manage\nsoftware models.\n‘Synopsis of Course Contents\nThis course covers object-oriented modelling\nconcepts in system design using Unified Modelling\nLanguage (UML). Topies include basic concepts of\nmodelling in system design, key differences\nbetween the structured and objectriented\nparadigm, design of a software system using\nstructural and behavioral diagrams, use of an\nobject-oriented case tool to construct various UML\ndiagrams and generate source codes, consistency\nchecking of UML model.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2003\nPROBABILITY AND STATISTICS\nCredit: S\nCourse Pre-requisite(s): None\nMedium of Instructi\n: English\nLearning Outcomes\n1. Explain probabilistic and statistical concepts.\n2. Use basic probabilistic and statistical concepts.\n3. Employ the appropriate statistical tests to\nanalyze data.\n‘Synopsis of Course Content\nThis course provides an introduction to probability\nand statistics concepts which includes Introductory\nNotions, Conditional Probability, Bayes Theorem,\n\nKeywords: assessment, basic, case, concepts, course, design, modelling, probability, statistical, system, uml, use"}
+{"kb_id": "RAGKB-0176", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00176", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 12", "pages": [234], "chunk_index": 12, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "basic", "continuous", "course", "device", "early", "examination", "file", "management", "operating", "process", "systems"], "retrieval_tags": [], "source_text": "Binomial and Poisson Distributions, among others\nAs for statistics, the course aims to develop\nstudents’ ability to describe, explore and analyze\ndata (both descriptive and inferential statistics)\nusing a statistical package (e.g., SAS/SPSS),\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA2004\nOPERATING SYSTEMS\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nist the basic concept of operating systems,\n2. Elaborate the eta on memory, device and\nfile management for early systems and current\nsystems.\n3. Explain the criteria on processor and process\nmanagement and know how to handle it.\n‘Synopsis of Course Content\nThis course covers basic concepts of operating\nsystems which includes memory management in\nearly and recent systems, processor and process\nmanagements, concurrent process, deadlock, and\nstarvation. This course also provides insights into\ndevice, file and system management, as well as\nexamples of operating systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nBinomial and Poisson Distributions, among others\nAs for statistics, the course aims to develop\nstudents’ ability to describe, explore and analyze\ndata (both descriptive and inferential statistics)\nusing a statistical package (e.g., SAS/SPSS),\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiA2004\nOPERATING SYSTEMS\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nist the basic concept of operating systems,\n2. Elaborate the eta on memory, device and\nfile management for early systems and current\nsystems.\n3. Explain the criteria on processor and process\nmanagement and know how to handle it.\n‘Synopsis of Course Content\nThis course covers basic concepts of operating\nsystems which includes memory management in\nearly and recent systems, processor and process\nmanagements, concurrent process, deadlock, and\nstarvation. This course also provides insights into\ndevice, file and system management, as well as\nexamples of operating systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: assessment, basic, continuous, course, device, early, examination, file, management, operating, process, systems"}
+{"kb_id": "RAGKB-0177", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00177", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 13", "pages": [235], "chunk_index": 13, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advanced", "algorithm", "algorithms", "analysis", "assessment", "course", "credit", "data", "design", "english", "important", "instruction"], "retrieval_tags": [], "source_text": "WwIA2005\nALGORITHM DESIGN AND ANALYSIS\nCredit: 4\nCourse Pre-requisite(s):\nWIA1002 - Data Structure\nMedium of Instruction: English\nLearning Outcomes\n1. Describes major algorithms related to advanced\ndata structures and time complexity,\n2. Implement important algorithm design\nparadigms.\n3, Assess the performance of algorithms,\nSynopsis of Course Content\nThis course introduces students to the analysis and\ndesign of computer algorithms. Students will learn\nbasics design techniques, important classical\nalgorithms and advanced data structures, and their\nimplementation in the moder programming\nenvironment. Students are exposed to a few\nalgorithms design paradigm.\nAssessment Method\nContinuous Assessment: 70%\nFinal Examination: 30%\nWIA2006\n‘SYSTEM ANALYSIS AND DESIGN\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify various concepts, principles, and stages\nof computer-based information systems\nanalysis, modelling, and design.\n2, Review of the groups of people involved in\nsystems development and the different", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nWwIA2005\nALGORITHM DESIGN AND ANALYSIS\nCredit: 4\nCourse Pre-requisite(s):\nWIA1002 - Data Structure\nMedium of Instruction: English\nLearning Outcomes\n1. Describes major algorithms related to advanced\ndata structures and time complexity,\n2. Implement important algorithm design\nparadigms.\n3, Assess the performance of algorithms,\nSynopsis of Course Content\nThis course introduces students to the analysis and\ndesign of computer algorithms. Students will learn\nbasics design techniques, important classical\nalgorithms and advanced data structures, and their\nimplementation in the moder programming\nenvironment. Students are exposed to a few\nalgorithms design paradigm.\nAssessment Method\nContinuous Assessment: 70%\nFinal Examination: 30%\nWIA2006\n‘SYSTEM ANALYSIS AND DESIGN\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify various concepts, principles, and stages\nof computer-based information systems\nanalysis, modelling, and design.\n2, Review of the groups of people involved in\nsystems development and the different\n\nKeywords: advanced, algorithm, algorithms, analysis, assessment, course, credit, data, design, english, important, instruction"}
+{"kb_id": "RAGKB-0178", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00178", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 14", "pages": [235], "chunk_index": 14, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "analysts", "assessment", "business", "components", "concepts", "course", "design", "modelling", "system", "systems", "techniques"], "retrieval_tags": [], "source_text": "methods, tools, and techniques used in\nsystems analysis, modelling and design.\n3. Apply concepts and skills to develop an\ninformation system.\nSynopsis of Course Content\nThis course deals with process of collecting and\ninterpreting facts, identifying the problems, and\ndecomposition of a system into its components and\nplanning the development of information systems\nthrough understanding and specifying in detail what\na system should do and how the components of\nthe system should be implemented and work\ntogether. In addition, this course also deals with the\nconcepts, skills, methodologies, techniques, tools,\nand perspectives essential for systems analysts\nSystem analysts solve business problems through\nanalyzing the requirements of information systems\nand designing such systems by applying analysis,\nmodelling, and design techniques. The practical\ncomponent of this course is object-oriented design\nand use-case driven, requiring students to go\nthrough the steps of system analysis, modelling\nand design to solve a real-life business problem.\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nmethods, tools, and techniques used in\nsystems analysis, modelling and design.\n3. Apply concepts and skills to develop an\ninformation system.\nSynopsis of Course Content\nThis course deals with process of collecting and\ninterpreting facts, identifying the problems, and\ndecomposition of a system into its components and\nplanning the development of information systems\nthrough understanding and specifying in detail what\na system should do and how the components of\nthe system should be implemented and work\ntogether. In addition, this course also deals with the\nconcepts, skills, methodologies, techniques, tools,\nand perspectives essential for systems analysts\nSystem analysts solve business problems through\nanalyzing the requirements of information systems\nand designing such systems by applying analysis,\nmodelling, and design techniques. The practical\ncomponent of this course is object-oriented design\nand use-case driven, requiring students to go\nthrough the steps of system analysis, modelling\nand design to solve a real-life business problem.\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: analysis, analysts, assessment, business, components, concepts, course, design, modelling, system, systems, techniques"}
+{"kb_id": "RAGKB-0179", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00179", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 15", "pages": [235], "chunk_index": 15, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["application", "applications", "assessment", "categories", "components", "course", "database", "development", "its", "libraries", "mobile", "services"], "retrieval_tags": [], "source_text": "Final Examination: 50%\n‘wiA2007\nMOBILE APPLICATION DEVELOPMENT\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain various categories of mobile\napplications, its framework, lifecycle and its\nrelevant User interface components, services\nand libraries\n2. Analyze the appropriate functionalities and\nsketches for mobile application based on its\nintended purposes and users.\n3. Develop the mobile applications using suitable\ncomponents, services, or libraries, with\ndatabase utilization,\n‘Synopsis of Course Content\nThis course provides an understanding on the\ncategories, development framework and lifecycle of\ntypical mobile applications. Besides, relevant GUI\ncomponents and its event handling, services and\nlibraries are introduced, including location-aware\nservice, audio, etc. This course also gives practical\nhands-on on mobile application development with\ndatabase connection, by considering users\nhardware and software requirements as a whole.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n~ wia2008 ~ ”", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 15\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nFinal Examination: 50%\n‘wiA2007\nMOBILE APPLICATION DEVELOPMENT\nCredit: 4\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain various categories of mobile\napplications, its framework, lifecycle and its\nrelevant User interface components, services\nand libraries\n2. Analyze the appropriate functionalities and\nsketches for mobile application based on its\nintended purposes and users.\n3. Develop the mobile applications using suitable\ncomponents, services, or libraries, with\ndatabase utilization,\n‘Synopsis of Course Content\nThis course provides an understanding on the\ncategories, development framework and lifecycle of\ntypical mobile applications. Besides, relevant GUI\ncomponents and its event handling, services and\nlibraries are introduced, including location-aware\nservice, audio, etc. This course also gives practical\nhands-on on mobile application development with\ndatabase connection, by considering users\nhardware and software requirements as a whole.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n~ wia2008 ~ ”\n\nKeywords: application, applications, assessment, categories, components, course, database, development, its, libraries, mobile, services"}
+{"kb_id": "RAGKB-0180", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00180", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 16", "pages": [235], "chunk_index": 16, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advanced", "architecture", "area", "common", "complex", "components", "course", "credit", "network", "networks", "routers", "switches"], "retrieval_tags": [], "source_text": "ADVANCED NETWORK TECHNOLOGY\nCredit: 4\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n4. Identify the architecture, components, and\n‘operations of routers and switches in complex\nnetworks.\n2. Explain the issues, philosophies and protocols\ninvolved in managing a local and wide area\nnetwork infrastructure.\n3. Solve the common problems of routers and\nswitches in IPv4 and IPV6 networks.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 16\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nADVANCED NETWORK TECHNOLOGY\nCredit: 4\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n4. Identify the architecture, components, and\n‘operations of routers and switches in complex\nnetworks.\n2. Explain the issues, philosophies and protocols\ninvolved in managing a local and wide area\nnetwork infrastructure.\n3. Solve the common problems of routers and\nswitches in IPv4 and IPV6 networks.\n\nKeywords: advanced, architecture, area, common, complex, components, course, credit, network, networks, routers, switches"}
+{"kb_id": "RAGKB-0181", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00181", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 17", "pages": [236], "chunk_index": 17, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "basic", "components", "content", "course", "design", "digital", "electronic", "methods", "network", "synopsis", "technologies"], "retrieval_tags": [], "source_text": "‘Synopsis of Course Content\nThis course is designed to provide students with\nthe overall concept and needs of network\ntechnologies in advance level. This course will\nexamine several aspects of networking such as\nOSPF, EIGRP, STP, PPP and VPN in IPv4 and\nIPv6 networks. This course also emphasis on\npractical exercises by introducing a range of\nnetwork technologies and protocols used in a\nnetwork.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2009\nDIGITAL DESIGN AND HARDWARE\nDESCRIPTION LANGUAGE\nCredit: 3\nCourse Pre-requisite(s): WIA1003 & WIX1003\nMedium of Instruction: English\nLearning Outcomes\n4. Explain the basic components of computer\ndigital development and how those components\nfunctioning.\n2. Discuss cigital design issues\n3. Develop digital circuit using systematic design\nmethods using HDL or any Electronic Design\n‘Automation ~ (EDA) and Electronic\nComputer-Aided Design (ECAD) equipment.\n‘Synopsis of Course Content\nThis course consists of basic introduction to digital\ndesign, combinational logic design principle and", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 17\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\n‘Synopsis of Course Content\nThis course is designed to provide students with\nthe overall concept and needs of network\ntechnologies in advance level. This course will\nexamine several aspects of networking such as\nOSPF, EIGRP, STP, PPP and VPN in IPv4 and\nIPv6 networks. This course also emphasis on\npractical exercises by introducing a range of\nnetwork technologies and protocols used in a\nnetwork.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2009\nDIGITAL DESIGN AND HARDWARE\nDESCRIPTION LANGUAGE\nCredit: 3\nCourse Pre-requisite(s): WIA1003 & WIX1003\nMedium of Instruction: English\nLearning Outcomes\n4. Explain the basic components of computer\ndigital development and how those components\nfunctioning.\n2. Discuss cigital design issues\n3. Develop digital circuit using systematic design\nmethods using HDL or any Electronic Design\n‘Automation ~ (EDA) and Electronic\nComputer-Aided Design (ECAD) equipment.\n‘Synopsis of Course Content\nThis course consists of basic introduction to digital\ndesign, combinational logic design principle and\n\nKeywords: assessment, basic, components, content, course, design, digital, electronic, methods, network, synopsis, technologies"}
+{"kb_id": "RAGKB-0182", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00182", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 18", "pages": [236], "chunk_index": 18, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "course", "design", "factors", "hci", "human", "interaction", "interactive", "interface", "methods", "overview", "systems"], "retrieval_tags": [], "source_text": "Practice, sequential logic design principle and\npractice, memory, CPLD and FPGA, design\nmethod using HDL and case stucies.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2010\nHUMAN COMPUTER INTERACTION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the ways human factors and cognitive\nmodels influence aspects of interface design\n2. Apply design principles, guidelines, patterns\nand visual design elements to the interface\ndesign and selected interface construction tools\nfor the implementation of interactive systems.\n3. Evaluate interactive systems (websites, travel,\nor game apps), with a strong adoption of\nuser-centric design\n‘Synopsis of Course Content\nThis course covers both human factors and the\ntechnical methods for the design and evaluation of\ninteractive systems, where it is structured within\nfour main topics: overview of HCI, essential\ninteraction design principles, user interface\ndevelopment process and interface design and\nprogramming. Overview of HCI introduces human,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 18\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nPractice, sequential logic design principle and\npractice, memory, CPLD and FPGA, design\nmethod using HDL and case stucies.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIA2010\nHUMAN COMPUTER INTERACTION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the ways human factors and cognitive\nmodels influence aspects of interface design\n2. Apply design principles, guidelines, patterns\nand visual design elements to the interface\ndesign and selected interface construction tools\nfor the implementation of interactive systems.\n3. Evaluate interactive systems (websites, travel,\nor game apps), with a strong adoption of\nuser-centric design\n‘Synopsis of Course Content\nThis course covers both human factors and the\ntechnical methods for the design and evaluation of\ninteractive systems, where it is structured within\nfour main topics: overview of HCI, essential\ninteraction design principles, user interface\ndevelopment process and interface design and\nprogramming. Overview of HCI introduces human,\n\nKeywords: assessment, course, design, factors, hci, human, interaction, interactive, interface, methods, overview, systems"}
+{"kb_id": "RAGKB-0183", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00183", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 19", "pages": [236], "chunk_index": 19, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "applications", "assessment", "design", "development", "interface", "interfaces", "project", "topics", "user", "workplace"], "retrieval_tags": [], "source_text": "computer and interactions; user _ interfaces:\nusability, user experience (UX) and design thinking.\nInterfaces development process includes topics on\niterative design, user-centered design, design\ndiscovery, design exploration and evaluation of\nuser interfaces. Interface design and programming\ninclude topics on visual information design, forms\ndesign, interface design pattems, prototyping and\nconstruction tools, and responsiveness issue.\nThree types of applications are covered: Graphical\nUser Interfaces, Web and Mobile Devices.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiA3001\nINDUSTRIAL TRAINING\nCredit: 12\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses\n(except Academic Project | and Academic Project\nI).\nMedium of Instruction: English\nLearning Outcomes\n. Apply operation, management, and\ndevelopment processes at workplace.\n2. Identify the problems faced and lessons leamt\nat the workplace.\n3. Use appropriate systems and technologies in\nthe tasks at workplace.\n4. Demonstrate professional ethics at workplace", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 19\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\ncomputer and interactions; user _ interfaces:\nusability, user experience (UX) and design thinking.\nInterfaces development process includes topics on\niterative design, user-centered design, design\ndiscovery, design exploration and evaluation of\nuser interfaces. Interface design and programming\ninclude topics on visual information design, forms\ndesign, interface design pattems, prototyping and\nconstruction tools, and responsiveness issue.\nThree types of applications are covered: Graphical\nUser Interfaces, Web and Mobile Devices.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiA3001\nINDUSTRIAL TRAINING\nCredit: 12\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses\n(except Academic Project | and Academic Project\nI).\nMedium of Instruction: English\nLearning Outcomes\n. Apply operation, management, and\ndevelopment processes at workplace.\n2. Identify the problems faced and lessons leamt\nat the workplace.\n3. Use appropriate systems and technologies in\nthe tasks at workplace.\n4. Demonstrate professional ethics at workplace\n\nKeywords: academic, all, applications, assessment, design, development, interface, interfaces, project, topics, user, workplace"}
+{"kb_id": "RAGKB-0184", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00184", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 20", "pages": [236], "chunk_index": 20, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acquired", "activities", "also", "assessment", "content", "continuous", "course", "daily", "field", "his/her", "industrial", "training"], "retrieval_tags": [], "source_text": "to knowledge and skills acquired at\n‘Synopsis of Course Content\nThis course requires a student to undergo industrial\ntraining at an organization offering internship\nrelated to the student's field of study. The student\nrecords his/her daily activities at the workplace in a\nlogbook. The student also prepares a final report\nabout his/her industrial training.\nAssessment Methods\nContinuous Assessment: 100%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 20\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nto knowledge and skills acquired at\n‘Synopsis of Course Content\nThis course requires a student to undergo industrial\ntraining at an organization offering internship\nrelated to the student's field of study. The student\nrecords his/her daily activities at the workplace in a\nlogbook. The student also prepares a final report\nabout his/her industrial training.\nAssessment Methods\nContinuous Assessment: 100%\n\nKeywords: acquired, activities, also, assessment, content, continuous, course, daily, field, his/her, industrial, training"}
+{"kb_id": "RAGKB-0185", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00185", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 21", "pages": [237], "chunk_index": 21, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": ["Could you tell me what courses are listed under programme core courses?", "Could you explain the role of programme core courses within the shared undergraduate curriculum?", "Could you explain how should students interpret or use the programme core courses list when planning their studies?"], "matched_qa_ids": ["qa_000545", "qa_000912", "qa_000914"], "grounded_answer_bank": ["Students should use the programme core courses list as compulsory study-planning guidance: they are expected to pass all Faculty and Programme Core courses and to check the stated course prerequisites, with Industrial Training treated separately in the prerequisite note.", "Within the shared undergraduate curriculum, programme core courses form the main subject-specific foundation that students must complete for their chosen programme, alongside the other required curriculum components."], "retrieval_keywords": ["Programme Core Courses", "all", "analysis", "collection", "core", "course", "courses", "credit", "data", "design", "english", "including", "project", "shared undergraduate curriculum", "study planning", "suitable"], "retrieval_tags": ["programme_core_courses", "shared_undergraduate_curriculum", "undergraduate"], "source_text": "wiA3002\nACADEMIC PROJECT I\nCredit: 3\nCourse Pre-requisite(s):\nPass all Faculty and Programme Core courses\nexcept for industrial Training.\nMedium of Instruction: English\nLearning Outcomes\n1. Identify solution approach that is suitable for the\nstated problem\n2. Conduct suitable requirement gathering, system\nanalysis and design techniques.\n3. Present project proposal paper.\nSynopsis of Course Content\nThis course covers the activities including problem\nidentification, literature review, data collection,\nwriting and presenting project proposals.\nWIE2003\nINTRODUCTION TO DATA SCIENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the key concepts relevant to data\nscience, including all processes in the data\nscience life cycle and data science applications\nin real-world\n2. Determine suitable tools, technologies and the\ncore algorithms underlying an end-to-end data\nscience workflow, including the experimental\ndesign, data collection, mining, analysis, and\npresentation of information derived from\ndatasets,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 21\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nQuestion variants:\n- Could you tell me what courses are listed under programme core courses?\n- Could you explain the role of programme core courses within the shared undergraduate curriculum?\n- Could you explain how should students interpret or use the programme core courses list when planning their studies?\n\nGrounded answer bank:\n- Students should use the programme core courses list as compulsory study-planning guidance: they are expected to pass all Faculty and Programme Core courses and to check the stated course prerequisites, with Industrial Training treated separately in the prerequisite note.\n- Within the shared undergraduate curriculum, programme core courses form the main subject-specific foundation that students must complete for their chosen programme, alongside the other required curriculum components.\n\nSource chunk text:\nwiA3002\nACADEMIC PROJECT I\nCredit: 3\nCourse Pre-requisite(s):\nPass all Faculty and Programme Core courses\nexcept for industrial Training.\nMedium of Instruction: English\nLearning Outcomes\n1. Identify solution approach that is suitable for the\nstated problem\n2. Conduct suitable requirement gathering, system\nanalysis and design techniques.\n3. Present project proposal paper.\nSynopsis of Course Content\nThis course covers the activities including problem\nidentification, literature review, data collection,\nwriting and presenting project proposals.\nWIE2003\nINTRODUCTION TO DATA SCIENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the key concepts relevant to data\nscience, including all processes in the data\nscience life cycle and data science applications\nin real-world\n2. Determine suitable tools, technologies and the\ncore algorithms underlying an end-to-end data\nscience workflow, including the experimental\ndesign, data collection, mining, analysis, and\npresentation of information derived from\ndatasets,\n\nKeywords: Programme Core Courses, all, analysis, collection, core, course, courses, credit, data, design, english, including, project, shared undergraduate curriculum, study planning, suitable"}
+{"kb_id": "RAGKB-0186", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00186", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 22", "pages": [237], "chunk_index": 22, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?", "Quick check: what's the role of programme core courses within the shared undergraduate curriculum?"], "matched_qa_ids": ["qa_000081", "qa_000332", "qa_000333", "qa_000913"], "grounded_answer_bank": ["Students should use the programme core courses list as compulsory study-planning guidance: they are expected to pass all Faculty and Programme Core courses and to check the stated course prerequisites, with Industrial Training treated separately in the prerequisite note.", "Within the shared undergraduate curriculum, programme core courses form the main subject-specific foundation that students must complete for their chosen programme, alongside the other required curriculum components."], "retrieval_keywords": ["Programme Core Courses", "academic", "algorithms", "all", "also", "analysis", "assessment", "based", "continuous", "course", "courses", "data", "learning", "shared undergraduate curriculum", "study planning", "technologies"], "retrieval_tags": ["programme_core_courses", "shared_undergraduate_curriculum", "undergraduate"], "source_text": "3. Interpret the ethical implications on the use of\ndata and technologies in data science process.\nAssessment Methods\nContinuous Assessment: 100%\n‘Synopsis of Course Content\nThe course is designed to help the student leam\nfundamental concepts of data science. It covers\nWhat, when, who, where, why and how (SW 1H) of\ndata science in the era of big data. Also\n‘encompass, the life cycle of data science from data\npreparation, data processing, data cleansing and\nintegration, to data analysis and visualization of\ndata in data-driven decision making. The role of\ndata scientist, the knowledge and skills required are\nalso presented. Machine learning algorithms and\nstatistical models are included. Diverse\ntechnologies, programming languages as well as\ntools in data science are discussed.\n‘WIA3003\nACADEMIC PROJECT II\nCredit: 5\nCourse Pre-requisite(s):\nPass all Faculty and Programme Core courses\nexcept for Industrial Training.\nMedium of Instruction: English\nAssessment Method\nContinuous Assessment: 60%\nLearning Outcomes\n: Final Examination:40%\n|. Develop a system based on the solution", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 22\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nQuestion variants:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n- Quick check: what's the role of programme core courses within the shared undergraduate curriculum?\n\nGrounded answer bank:\n- Students should use the programme core courses list as compulsory study-planning guidance: they are expected to pass all Faculty and Programme Core courses and to check the stated course prerequisites, with Industrial Training treated separately in the prerequisite note.\n- Within the shared undergraduate curriculum, programme core courses form the main subject-specific foundation that students must complete for their chosen programme, alongside the other required curriculum components.\n\nSource chunk text:\n3. Interpret the ethical implications on the use of\ndata and technologies in data science process.\nAssessment Methods\nContinuous Assessment: 100%\n‘Synopsis of Course Content\nThe course is designed to help the student leam\nfundamental concepts of data science. It covers\nWhat, when, who, where, why and how (SW 1H) of\ndata science in the era of big data. Also\n‘encompass, the life cycle of data science from data\npreparation, data processing, data cleansing and\nintegration, to data analysis and visualization of\ndata in data-driven decision making. The role of\ndata scientist, the knowledge and skills required are\nalso presented. Machine learning algorithms and\nstatistical models are included. Diverse\ntechnologies, programming languages as well as\ntools in data science are discussed.\n‘WIA3003\nACADEMIC PROJECT II\nCredit: 5\nCourse Pre-requisite(s):\nPass all Faculty and Programme Core courses\nexcept for Industrial Training.\nMedium of Instruction: English\nAssessment Method\nContinuous Assessment: 60%\nLearning Outcomes\n: Final Examination:40%\n|. Develop a system based on the solution\n\nKeywords: Programme Core Courses, academic, algorithms, all, also, analysis, assessment, based, continuous, course, courses, data, learning, shared undergraduate curriculum, study planning, technologies"}
+{"kb_id": "RAGKB-0187", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00187", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 23", "pages": [237], "chunk_index": 23, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "assessment", "content", "course", "covers", "learning", "machine", "method", "project", "synopsis", "system", "techniques"], "retrieval_tags": [], "source_text": "approach and method identified\n2. Present the implemented project\n3. Implement a system with ethics and\nprofessionalism.\nWID3006\nMACHINE LEARNING\nSynopsis of Course Content\nThis course covers research activities including\nsystem analysis. and design, _system\nimplementation, testing and evaluating the\ndeveloped system, project presentation and writing\nan academic report\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nAssessment Method Learning Outcomes\nContinuous Assessment: 100% 1. Explain the concepts and techniques for\nsupervised learning, semi-supervised learning\nand unsupervised learning\n2. Use the appropriate machine learning\ntechniques for given sample datasets.\n3. Apply practical solutions to solve common\nproblems in machine learning\n‘Synopsis of Course Content\nThis course covers a broad understanding of the\nfield of machine learning and statistical pattem\nrecognition. Topics include classification and linear", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 23\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\napproach and method identified\n2. Present the implemented project\n3. Implement a system with ethics and\nprofessionalism.\nWID3006\nMACHINE LEARNING\nSynopsis of Course Content\nThis course covers research activities including\nsystem analysis. and design, _system\nimplementation, testing and evaluating the\ndeveloped system, project presentation and writing\nan academic report\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nAssessment Method Learning Outcomes\nContinuous Assessment: 100% 1. Explain the concepts and techniques for\nsupervised learning, semi-supervised learning\nand unsupervised learning\n2. Use the appropriate machine learning\ntechniques for given sample datasets.\n3. Apply practical solutions to solve common\nproblems in machine learning\n‘Synopsis of Course Content\nThis course covers a broad understanding of the\nfield of machine learning and statistical pattem\nrecognition. Topics include classification and linear\n\nKeywords: academic, assessment, content, course, covers, learning, machine, method, project, synopsis, system, techniques"}
+{"kb_id": "RAGKB-0188", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00188", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 24", "pages": [238], "chunk_index": 24, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "continuous", "course", "credit", "data", "english", "instruction", "learning", "literature", "medium", "problem", "project"], "retrieval_tags": [], "source_text": "regression, Bayesian network, decision trees,\nSVMs, statistical leaming method, unsupervised\nlearning and reinforcement learning\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WIH3001\nDATA SCIENCE PROJECT\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of instruction: English\nLearning Outcomes\nDefine the problem background,\nDetermine the objectives of project.\nIdentify suitable solution approaches for the\nstated problem.\n4, Review literature relevant to the stated problem.\n5. Conduct data gathering using suitable\ntechniques,\n8. Develop a prototype of the proposed solution\n7. White a project report\nSynopsis of Course Content\nThis course covers the following research activities\nincluding problem and objectives. identification:\nliterature review; data collection, prototype\ndevelopment, report writing and project\npresentation.\nAssessment Method\nContinuous Assessment: 100%\n‘wiH3002\nDATA SCIENCE INDUSTRIAL TRAINING\nCredit: 14\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses.\nMedium of Instruction: English\nLearning Outcomes", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 24\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nregression, Bayesian network, decision trees,\nSVMs, statistical leaming method, unsupervised\nlearning and reinforcement learning\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WIH3001\nDATA SCIENCE PROJECT\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of instruction: English\nLearning Outcomes\nDefine the problem background,\nDetermine the objectives of project.\nIdentify suitable solution approaches for the\nstated problem.\n4, Review literature relevant to the stated problem.\n5. Conduct data gathering using suitable\ntechniques,\n8. Develop a prototype of the proposed solution\n7. White a project report\nSynopsis of Course Content\nThis course covers the following research activities\nincluding problem and objectives. identification:\nliterature review; data collection, prototype\ndevelopment, report writing and project\npresentation.\nAssessment Method\nContinuous Assessment: 100%\n‘wiH3002\nDATA SCIENCE INDUSTRIAL TRAINING\nCredit: 14\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses.\nMedium of Instruction: English\nLearning Outcomes\n\nKeywords: assessment, continuous, course, credit, data, english, instruction, learning, literature, medium, problem, project"}
+{"kb_id": "RAGKB-0189", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00189", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 25", "pages": [238], "chunk_index": 25, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "content", "course", "data", "demonstrate", "development", "experience", "experiences", "his/her", "industrial", "professional", "workplace"], "retrieval_tags": [], "source_text": "1. Understanding real-world case\nstudies/problems that require data science\nsolutions in industry.\n2. Use appropriate data science technologies in\ntasks at workplace.\n3. Apply data science industrial experience in one\nof more industry-based projects.\nSynopsis of Course Content\nThis course requires a student to acquire date\nscience industrial experience at an organisation\noffering internship related to data science field of\nstudy. The student records his/her daily\nexperiences at the workplace in a logbook, The\nstudent also prepares a final report about his/her\ndata science industrial experiences,\nAssessment Method\nContinuous Assessment: 100%\n‘WIH3005\nPROFESSIONAL DEVELOPMENT\nCredit: 2\nCourse Pre-requisite(s):\nNone\nMedium of Instruction: English\nLearning Outcomes\n1. Differentiate various principles and practices of\nprofessional development within the workplace\n2. Demonstrate effective communication and\nteamwork skills in a professional environment.\n3. Demonstrate ethical and professional behavior\n‘workplace settings\n‘Synopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 25\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\n1. Understanding real-world case\nstudies/problems that require data science\nsolutions in industry.\n2. Use appropriate data science technologies in\ntasks at workplace.\n3. Apply data science industrial experience in one\nof more industry-based projects.\nSynopsis of Course Content\nThis course requires a student to acquire date\nscience industrial experience at an organisation\noffering internship related to data science field of\nstudy. The student records his/her daily\nexperiences at the workplace in a logbook, The\nstudent also prepares a final report about his/her\ndata science industrial experiences,\nAssessment Method\nContinuous Assessment: 100%\n‘WIH3005\nPROFESSIONAL DEVELOPMENT\nCredit: 2\nCourse Pre-requisite(s):\nNone\nMedium of Instruction: English\nLearning Outcomes\n1. Differentiate various principles and practices of\nprofessional development within the workplace\n2. Demonstrate effective communication and\nteamwork skills in a professional environment.\n3. Demonstrate ethical and professional behavior\n‘workplace settings\n‘Synopsis of Course Content\n\nKeywords: assessment, content, course, data, demonstrate, development, experience, experiences, his/her, industrial, professional, workplace"}
+{"kb_id": "RAGKB-0190", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00190", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 26", "pages": [238], "chunk_index": 26, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abilities", "adapting", "assessment", "communication", "data", "ethics", "management", "professional", "project", "real-world", "settings", "skills"], "retrieval_tags": [], "source_text": "This Professional Development module equips\nstudents for success by emphasizing vital\nmanagement, social skills, communication, and\nethics, It addresses stakeholder management,\nproject initiation, critical thinking, professional\nethics, and communication, enhancing skills in\nreport writing, team building, technical aspects,\nlifelong leaming, and conflict resolution. Students\nwill develop comprehensive abilities essential for\neffective project management and career\nadvancement, ensuring they are prepared for\nreal-world challenges in diverse professional\nsettings.\nAssessment Method\nContinuous Assessment: 100%\nWIH3006\nDATA SCIENCE AND APPLICATION\nCredit: 5\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses.\nMedium of Instruction: English\nLearning Outcomes\n1. Apply the fundamental concepts and\nmethodologies of data science in\nworkplace settings.\n2. Adapting data science solutions to\nreal-world problems using relevant tools\nand technologies.\n3. Explain the impact of data science\napplications on business processes and\ndecision-making.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 26\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nThis Professional Development module equips\nstudents for success by emphasizing vital\nmanagement, social skills, communication, and\nethics, It addresses stakeholder management,\nproject initiation, critical thinking, professional\nethics, and communication, enhancing skills in\nreport writing, team building, technical aspects,\nlifelong leaming, and conflict resolution. Students\nwill develop comprehensive abilities essential for\neffective project management and career\nadvancement, ensuring they are prepared for\nreal-world challenges in diverse professional\nsettings.\nAssessment Method\nContinuous Assessment: 100%\nWIH3006\nDATA SCIENCE AND APPLICATION\nCredit: 5\nCourse Pre-requisite(s):\nTaken all Faculty and Programme Core Courses.\nMedium of Instruction: English\nLearning Outcomes\n1. Apply the fundamental concepts and\nmethodologies of data science in\nworkplace settings.\n2. Adapting data science solutions to\nreal-world problems using relevant tools\nand technologies.\n3. Explain the impact of data science\napplications on business processes and\ndecision-making.\n\nKeywords: abilities, adapting, assessment, communication, data, ethics, management, professional, project, real-world, settings, skills"}
+{"kb_id": "RAGKB-0191", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00191", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 27", "pages": [239], "chunk_index": 27, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["additionally", "analytics", "applications", "apply", "appropriate", "assessment", "business", "course", "data", "practical", "skills", "will"], "retrieval_tags": [], "source_text": "Synopsis of Course Content\nThis course provides a comprehensive introduction\nto the fundamental concepts and methodologies\nthat underpin the field of data science. Students will\ngain a deep understanding of essential data\nscience principles and learn how to apply various\ntools and technologies to solve real-world\nproblems. The course emphasizes _ practical\napplications, equipping students with the skills\nneeded to recommend appropriate data science\nmethods for diverse scenarios. Additionally,\nstudents will explore the significant impact of data\nscience applications on business processes and\ndecision-making, enabling them to evaluate and\nnhance business strategies through data-driven\ninsights. This course is designed to bridge the gap\nbetween theoretical knowledge and practical\nimplementation, preparing students for successful\ncareers in data science and analytics.\nAssessment Method\nContinuous Assessment: 100%\nWIH3007\nINDUSTRIAL SOLUTION DEVELOPMENT\nCredit: 5\nCourse Pre-requisite(s):\nNone\nMedium of Instruction: English\nLearning Outcomes\n1. Demonstrate problem-solving skills by", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 27\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nSynopsis of Course Content\nThis course provides a comprehensive introduction\nto the fundamental concepts and methodologies\nthat underpin the field of data science. Students will\ngain a deep understanding of essential data\nscience principles and learn how to apply various\ntools and technologies to solve real-world\nproblems. The course emphasizes _ practical\napplications, equipping students with the skills\nneeded to recommend appropriate data science\nmethods for diverse scenarios. Additionally,\nstudents will explore the significant impact of data\nscience applications on business processes and\ndecision-making, enabling them to evaluate and\nnhance business strategies through data-driven\ninsights. This course is designed to bridge the gap\nbetween theoretical knowledge and practical\nimplementation, preparing students for successful\ncareers in data science and analytics.\nAssessment Method\nContinuous Assessment: 100%\nWIH3007\nINDUSTRIAL SOLUTION DEVELOPMENT\nCredit: 5\nCourse Pre-requisite(s):\nNone\nMedium of Instruction: English\nLearning Outcomes\n1. Demonstrate problem-solving skills by\n\nKeywords: additionally, analytics, applications, apply, appropriate, assessment, business, course, data, practical, skills, will"}
+{"kb_id": "RAGKB-0192", "knowledge_group_id": "KG-0070", "source_chunk_id": "SC-00192", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Programme Core Courses", "title": "Shared Undergraduate Curriculum - Programme Core Courses - chunk 28", "pages": [239], "chunk_index": 28, "group_size_chunks": 28, "group_size_qas": 7, "linked_index_ids": ["UMI-0081", "UMI-0332", "UMI-0333"], "group_canonical_questions": ["What courses are listed under programme core courses?", "What is the role of programme core courses within the shared undergraduate curriculum?", "How should students interpret or use the programme core courses list when planning their studies?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ability", "business", "course", "data", "develop", "identify", "industrial", "industry", "problems", "solutions", "stakeholders", "will"], "retrieval_tags": [], "source_text": "engaging in industrial projects.\n2. Develop industrial solutions, from problem\nidentification to solution deployment using data\nscience pipelines.\n3. Develop the ability to work collaboratively with\nindustry professionals and stakeholders\nthrough continuous learning,\nSynopsis of Course Content\nThis course provides a comprehensive framework\nfor applying theoretical knowledge and technical\nskills acquired throughout the data science program\nto real-world industrial problems. Students will solve\nindustry-related problems with data science, starting\nby defining the business objective and collecting\nrelevant data. Next, prepare and clean the data,\nfollowed by conducting exploratory analysis to\nidentify patterns. Further, build and evaluate\nPredictive models, and select the best performing\n‘one. The model will be deployed into production\nFinally, communicate insights to stakeholders with\nclear visualizations and reports for actionable\ndecision-making. Students will collaborate with\nindustry partners to identify, analyse, and develop\ndata-driven solutions tailored to specific business", "retrieval_text": "Title: Shared Undergraduate Curriculum - Programme Core Courses - chunk 28\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Programme Core Courses\n\nCanonical questions:\n- What courses are listed under programme core courses?\n- What is the role of programme core courses within the shared undergraduate curriculum?\n- How should students interpret or use the programme core courses list when planning their studies?\n\nSource chunk text:\nengaging in industrial projects.\n2. Develop industrial solutions, from problem\nidentification to solution deployment using data\nscience pipelines.\n3. Develop the ability to work collaboratively with\nindustry professionals and stakeholders\nthrough continuous learning,\nSynopsis of Course Content\nThis course provides a comprehensive framework\nfor applying theoretical knowledge and technical\nskills acquired throughout the data science program\nto real-world industrial problems. Students will solve\nindustry-related problems with data science, starting\nby defining the business objective and collecting\nrelevant data. Next, prepare and clean the data,\nfollowed by conducting exploratory analysis to\nidentify patterns. Further, build and evaluate\nPredictive models, and select the best performing\n‘one. The model will be deployed into production\nFinally, communicate insights to stakeholders with\nclear visualizations and reports for actionable\ndecision-making. Students will collaborate with\nindustry partners to identify, analyse, and develop\ndata-driven solutions tailored to specific business\n\nKeywords: ability, business, course, data, develop, identify, industrial, industry, problems, solutions, stakeholders, will"}
+{"kb_id": "RAGKB-0193", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00193", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 1", "pages": [241], "chunk_index": 1, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "applications", "based", "best", "course", "criteria", "design", "network", "secure", "security", "techniques", "will"], "retrieval_tags": [], "source_text": "wic2002\nNETWORK SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the importance of network security and the\nsecurity applications and techniques used in a\nnetwork.\n2. Design @ secure network topology based on the\nsecurity elements.\n3. Apply the applications and techniques to solve a\nrange of security problems in a network.\nSynopsis of Course Content\nThis course is designed to provide student knowledge of\nnetwork security, types of attack towards network,\nsecurity services, and security mechanism. This course\nalso will examine the security criteria by identity the best\npractices for the network security. The criteria will be\nlooking into encryption techniques, remote access,\nintrusion detection and prevention, Virtual Private\nNetwork, firewall, honey pots, AAA, Infrastructure\nsecurity, and physical security. Finally, the course will\nevaluate a plan and best proposal to design a secure\nnetwork topology based on security policy and legal\nissues. This course also emphasis on practical", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nwic2002\nNETWORK SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the importance of network security and the\nsecurity applications and techniques used in a\nnetwork.\n2. Design @ secure network topology based on the\nsecurity elements.\n3. Apply the applications and techniques to solve a\nrange of security problems in a network.\nSynopsis of Course Content\nThis course is designed to provide student knowledge of\nnetwork security, types of attack towards network,\nsecurity services, and security mechanism. This course\nalso will examine the security criteria by identity the best\npractices for the network security. The criteria will be\nlooking into encryption techniques, remote access,\nintrusion detection and prevention, Virtual Private\nNetwork, firewall, honey pots, AAA, Infrastructure\nsecurity, and physical security. Finally, the course will\nevaluate a plan and best proposal to design a secure\nnetwork topology based on security policy and legal\nissues. This course also emphasis on practical\n\nKeywords: also, applications, based, best, course, criteria, design, network, secure, security, techniques, will"}
+{"kb_id": "RAGKB-0194", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00194", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 2", "pages": [241], "chunk_index": 2, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "course", "discussed", "each", "evolution", "implement", "implementation", "internet", "introducing", "its", "methods", "security"], "retrieval_tags": [], "source_text": "exercises by introducing a range of security applications\nused in a network\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2004\nINTERNET TECHNOLOGY\nCredit: 3\nCourse Pre-requisites): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe the Intemet and its evolution to the current\ntechnology.\n2. Identify the steps to evaluate and implement the\ntechnology, the model it was based on and the\narchitecture\n3. Analyze the strength and weaknesses of each\nInternet technology implementation being discussed.\n4, Discuss security concer that must be considered\nwhen implementing the selected Internet technology.\nSynopsis of Course Content\nThis course contains the introduction towards Internet\nand its evolution in introducing new technologies such as\nInternet of Everything, Cloud Computing and Software\nDefined Network. It explained the concept and steps of\nimplementation of the technology discussed and how to\nimplement it, It also discussed the strength and\nweaknesses of each Internet technology and the security\nissues related\nAssessment Methods", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nexercises by introducing a range of security applications\nused in a network\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2004\nINTERNET TECHNOLOGY\nCredit: 3\nCourse Pre-requisites): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe the Intemet and its evolution to the current\ntechnology.\n2. Identify the steps to evaluate and implement the\ntechnology, the model it was based on and the\narchitecture\n3. Analyze the strength and weaknesses of each\nInternet technology implementation being discussed.\n4, Discuss security concer that must be considered\nwhen implementing the selected Internet technology.\nSynopsis of Course Content\nThis course contains the introduction towards Internet\nand its evolution in introducing new technologies such as\nInternet of Everything, Cloud Computing and Software\nDefined Network. It explained the concept and steps of\nimplementation of the technology discussed and how to\nimplement it, It also discussed the strength and\nweaknesses of each Internet technology and the security\nissues related\nAssessment Methods\n\nKeywords: assessment, course, discussed, each, evolution, implement, implementation, internet, introducing, its, methods, security"}
+{"kb_id": "RAGKB-0195", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00195", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 3", "pages": [241], "chunk_index": 3, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "assessment", "client/server", "communication", "concept", "continuous", "course", "credit", "describe", "network", "programming", "sdn"], "retrieval_tags": [], "source_text": "Continuous Assessment: 50%\nFinal Examination: 50%\nwic2005\nPROGRAMMABLE NETWORK\nCredit: 3\nCourse Pre-requisite(s): WIA2008\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of network programming\nand Software Defined Networking (SDN)\nprogramming.\n2. Design and program client/server communication.\n3, Describe the deployment models of SDN and\nNetwork Functions Virtualization (NFV) using\nOpenFlow protocol\nSynopsis of Course Content\nThis course introduces network programming and SDN\nprogramming. The contents include the introduction to\nthe concept and programming of _ client/server\ncommunication; the fundamentals of SDN and_ its\npotential applications related to network function\nvirtualization (NFV); Explores emerging applications of\nSDN; hands-on exercises of SDN programming\nenvironment with OpenFlow protocol and controller.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2006\nDIGITAL FORENSIC\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nIdentify forensics and information security issues in", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2005\nPROGRAMMABLE NETWORK\nCredit: 3\nCourse Pre-requisite(s): WIA2008\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of network programming\nand Software Defined Networking (SDN)\nprogramming.\n2. Design and program client/server communication.\n3, Describe the deployment models of SDN and\nNetwork Functions Virtualization (NFV) using\nOpenFlow protocol\nSynopsis of Course Content\nThis course introduces network programming and SDN\nprogramming. The contents include the introduction to\nthe concept and programming of _ client/server\ncommunication; the fundamentals of SDN and_ its\npotential applications related to network function\nvirtualization (NFV); Explores emerging applications of\nSDN; hands-on exercises of SDN programming\nenvironment with OpenFlow protocol and controller.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2006\nDIGITAL FORENSIC\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nIdentify forensics and information security issues in\n\nKeywords: applications, assessment, client/server, communication, concept, continuous, course, credit, describe, network, programming, sdn"}
+{"kb_id": "RAGKB-0196", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00196", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 4", "pages": [241], "chunk_index": 4, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "apply", "appropriate", "content", "course", "different", "digital", "forensic", "media", "techniques", "various", "will"], "retrieval_tags": [], "source_text": "digital domain,\n2. Differentiate various forensic techniques for digital\nmedia\n3. Apply appropriate digital forensic techniques for\ndifferent digital media\nSynopsis of Course Content\nThis course is designed to provide students with\nknowledge on various security issues and cybercrime.\nThis course will also expose students to different stages\nin the digital forensic process. Students will also apply", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\ndigital domain,\n2. Differentiate various forensic techniques for digital\nmedia\n3. Apply appropriate digital forensic techniques for\ndifferent digital media\nSynopsis of Course Content\nThis course is designed to provide students with\nknowledge on various security issues and cybercrime.\nThis course will also expose students to different stages\nin the digital forensic process. Students will also apply\n\nKeywords: also, apply, appropriate, content, course, different, digital, forensic, media, techniques, various, will"}
+{"kb_id": "RAGKB-0197", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00197", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 5", "pages": [242], "chunk_index": 5, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "continuous", "controls", "course", "credit", "cyber", "cybersecurity", "cyberspace", "defense", "english", "security", "techniques"], "retrieval_tags": [], "source_text": "Various digital forensic techniques in accordance with the\nidentified media and applicable cybercrime laws.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 0%\nwic2007\nCYBER SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of cyberspace and cybersecurity\nincluding critical security controls for effective cyber\ndefense.\n2. Determine suitable security controls for the defined\nsecurity requirements.\n3. Investigate techniques used for auditing and\nmonitoring the performance of cybersecurity\ncontrols.\nSynopsis of Course Content\nThis course consists of the introduction on terms\ncyberspace, cybersecurity, related standards for best\npractices in cybersecurity, essential security\nrequirements and security controls/functions for cyber\ndefense, and security assessment techniques in cyber\nenvironment.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2008\nINTERNET OF THINGS.\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nVarious digital forensic techniques in accordance with the\nidentified media and applicable cybercrime laws.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 0%\nwic2007\nCYBER SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of cyberspace and cybersecurity\nincluding critical security controls for effective cyber\ndefense.\n2. Determine suitable security controls for the defined\nsecurity requirements.\n3. Investigate techniques used for auditing and\nmonitoring the performance of cybersecurity\ncontrols.\nSynopsis of Course Content\nThis course consists of the introduction on terms\ncyberspace, cybersecurity, related standards for best\npractices in cybersecurity, essential security\nrequirements and security controls/functions for cyber\ndefense, and security assessment techniques in cyber\nenvironment.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic2008\nINTERNET OF THINGS.\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n\nKeywords: assessment, continuous, controls, course, credit, cyber, cybersecurity, cyberspace, defense, english, security, techniques"}
+{"kb_id": "RAGKB-0198", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00198", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 6", "pages": [242], "chunk_index": 6, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "activities", "analytics", "assessment", "basic", "business", "concept", "course", "design", "lot", "networking", "practical"], "retrieval_tags": [], "source_text": "1, Describe the basic concept of Internet-of-Things.\n2. Design loT application using existing technology.\n3. Apply loT knowledge of practical problem solving.\nSynopsis of Course Content\nThe course provides an overview of Interet-of-Things\ntechnology concept and practical. It develops\nfoundational skills using hands-on lab activities that\nstimulate the students in applying creative\nproblem-solving and rapid prototyping in the\ninterdisciplinary domain of electronics, networking,\nsecurity, data analytics, and business. The\nstudent-centric approach translates into the student\nbeing able to produce ideas, design, prototype and\npresent an loT solution for an identified business or\nsociety need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3001\nMATHEMATICS IN NETWORKING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the basic principles of probability and\nstatistics behind computer networking,\n2. Discussing the techniques and applications of graph\ntheory to solve computer networking problems.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\n1, Describe the basic concept of Internet-of-Things.\n2. Design loT application using existing technology.\n3. Apply loT knowledge of practical problem solving.\nSynopsis of Course Content\nThe course provides an overview of Interet-of-Things\ntechnology concept and practical. It develops\nfoundational skills using hands-on lab activities that\nstimulate the students in applying creative\nproblem-solving and rapid prototyping in the\ninterdisciplinary domain of electronics, networking,\nsecurity, data analytics, and business. The\nstudent-centric approach translates into the student\nbeing able to produce ideas, design, prototype and\npresent an loT solution for an identified business or\nsociety need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3001\nMATHEMATICS IN NETWORKING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the basic principles of probability and\nstatistics behind computer networking,\n2. Discussing the techniques and applications of graph\ntheory to solve computer networking problems.\n\nKeywords: able, activities, analytics, assessment, basic, business, concept, course, design, lot, networking, practical"}
+{"kb_id": "RAGKB-0199", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00199", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 7", "pages": [242], "chunk_index": 7, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?", "Could you tell me what courses are listed under specialization elective courses - computer system and network?", "So basically, what courses are listed under specialization elective courses - computer system and network?", "Could you tell me what elective focus areas are represented under specialization elective courses - computer system and network?", "Hey, what elective focus areas are represented under specialization elective courses - computer system and network?", "Could you explain how should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "matched_qa_ids": ["qa_000082", "qa_000334", "qa_000335", "qa_000546", "qa_000547", "qa_000915", "qa_000916", "qa_000917"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Computer System and Network", "algorithms", "analysis", "assessment", "computer-based", "content", "course", "courses", "cryptographic", "cryptography", "elective focus areas", "key", "networking", "selecting electives", "study planning", "synopsis", "techniques"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_computer_system_and_network", "undergraduate"], "source_text": "3. Evaluating the problems in queueing theory and\nnetwork calculus related to computer networks.\nSynopsis of Course Content\nThis course is designed to provide a practical aspect of\nbasic statistics and mathematics on computer\nnetworking. It also an emphasis on problem-solving and\nanalysis using the mathematical and statistical\ntechniques in computer networking,\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n~~ wie3002\nCRYPTOGRAPHY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the concept of cryptogrephy and techniques\nused clearly\n2. Distinguish different cryptography systems.\n3. Determine suitable technique or algorithm for\nimplementation in a system accordingly.\n4, Investigate cryptographic algorithms in regards to\ntheir design and security analysis.\nSynopsis of Course Content\nThis course consists of the introduction of cryptography,\ncryptographic techniques, computer-based Symmetric\nKe\n‘Cryptographic Algoritis, computer-based Asymmetric\nKey Cryptographic Algorithms, Public Key Infrastructure", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n- Could you tell me what courses are listed under specialization elective courses - computer system and network?\n- So basically, what courses are listed under specialization elective courses - computer system and network?\n- Could you tell me what elective focus areas are represented under specialization elective courses - computer system and network?\n- Hey, what elective focus areas are represented under specialization elective courses - computer system and network?\n- Could you explain how should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\n3. Evaluating the problems in queueing theory and\nnetwork calculus related to computer networks.\nSynopsis of Course Content\nThis course is designed to provide a practical aspect of\nbasic statistics and mathematics on computer\nnetworking. It also an emphasis on problem-solving and\nanalysis using the mathematical and statistical\ntechniques in computer networking,\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n~~ wie3002\nCRYPTOGRAPHY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the concept of cryptogrephy and techniques\nused clearly\n2. Distinguish different cryptography systems.\n3. Determine suitable technique or algorithm for\nimplementation in a system accordingly.\n4, Investigate cryptographic algorithms in regards to\ntheir design and security analysis.\nSynopsis of Course Content\nThis course consists of the introduction of cryptography,\ncryptographic techniques, computer-based Symmetric\nKe\n‘Cryptographic Algoritis, computer-based Asymmetric\nKey Cryptographic Algorithms, Public Key Infrastructure\n\nKeywords: Specialization Elective Courses - Computer System and Network, algorithms, analysis, assessment, computer-based, content, course, courses, cryptographic, cryptography, elective focus areas, key, networking, selecting electives, study planning, synopsis, techniques"}
+{"kb_id": "RAGKB-0200", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00200", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 8", "pages": [242], "chunk_index": 8, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "authentication", "case", "continuous", "cryptography", "examination", "final", "implementation", "implementations", "internet", "mechanisms", "methods"], "retrieval_tags": [], "source_text": "(PKI), Internet Security Protocols (Implementation of\nCryptography), user authentication _ mechanisms,\npractical implementations of cryptography and case\nstudies.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\n(PKI), Internet Security Protocols (Implementation of\nCryptography), user authentication _ mechanisms,\npractical implementations of cryptography and case\nstudies.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: assessment, authentication, case, continuous, cryptography, examination, final, implementation, implementations, internet, mechanisms, methods"}
+{"kb_id": "RAGKB-0201", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00201", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 9", "pages": [243], "chunk_index": 9, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["apply", "assessment", "concepts", "content", "course", "credit", "embedded", "english", "explain", "penetration", "system", "techniques"], "retrieval_tags": [], "source_text": "wic3003\nEMBEDDED SYSTEM PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept and architecture of an embedded\nsystem,\nProgram an embedded system application.\nApply interfaces technique between embedded\napplications system.\n3,\n‘Synopsis of Course Content\nThis course covers the embedded system overview,\nembedded system memory management, embedded\nsystem interfaces and embedded system controller.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3004\nCOMPUTER PENETRATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concepts of computer penetration.\n2. Identify suitable techniques in computer penetration\nactivity.\n3. Apply suitable computer penetration techniques in\nspecific security scenario,\n‘Synopsis of Course Content\nThis course introduces the concepts and techniques\nused to penetrate computers with a focus on ethical\nhacking. The contents of this course cover the basic\nsteps of penetration testing such as reconnaissance,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nwic3003\nEMBEDDED SYSTEM PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept and architecture of an embedded\nsystem,\nProgram an embedded system application.\nApply interfaces technique between embedded\napplications system.\n3,\n‘Synopsis of Course Content\nThis course covers the embedded system overview,\nembedded system memory management, embedded\nsystem interfaces and embedded system controller.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3004\nCOMPUTER PENETRATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concepts of computer penetration.\n2. Identify suitable techniques in computer penetration\nactivity.\n3. Apply suitable computer penetration techniques in\nspecific security scenario,\n‘Synopsis of Course Content\nThis course introduces the concepts and techniques\nused to penetrate computers with a focus on ethical\nhacking. The contents of this course cover the basic\nsteps of penetration testing such as reconnaissance,\n\nKeywords: apply, assessment, concepts, content, course, credit, embedded, english, explain, penetration, system, techniques"}
+{"kb_id": "RAGKB-0202", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00202", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 10", "pages": [243], "chunk_index": 10, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "course", "design", "documentation", "large", "management", "methods", "model", "network", "protocols", "scale", "solve"], "retrieval_tags": [], "source_text": "network scanning, exploitation of vulnerabilities, and\nmaintaining access to penetrated systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWwic3005\nENTERPRISE NETWORK DESIGN AND\nMANAGEMENT\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n4. Explain and design\napproach.\n2. Solve network management problem.\n3. Solve problems related to systematic network\ndocumentation, design and configuration,\nnetwork using top-down\nSynopsis of Course Content\nThis course consists of top-down network design model\nfor large scale network which includes the requirements\n‘and constraints, large scale network topology design,\nmodels for addressing and naming for network devices.\nThis course also covers switching and routing protocols,\nnetwork security strategies, optimal network design,\nnetwork management planning and strategy, ISO\nnetwork management model, network management\nprotocols: SNMP. RMON, NTP, network performance\nissues, troubleshooting mechanisms and network\ndocumentation and base lining,\nAssessment Methods", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nnetwork scanning, exploitation of vulnerabilities, and\nmaintaining access to penetrated systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWwic3005\nENTERPRISE NETWORK DESIGN AND\nMANAGEMENT\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n4. Explain and design\napproach.\n2. Solve network management problem.\n3. Solve problems related to systematic network\ndocumentation, design and configuration,\nnetwork using top-down\nSynopsis of Course Content\nThis course consists of top-down network design model\nfor large scale network which includes the requirements\n‘and constraints, large scale network topology design,\nmodels for addressing and naming for network devices.\nThis course also covers switching and routing protocols,\nnetwork security strategies, optimal network design,\nnetwork management planning and strategy, ISO\nnetwork management model, network management\nprotocols: SNMP. RMON, NTP, network performance\nissues, troubleshooting mechanisms and network\ndocumentation and base lining,\nAssessment Methods\n\nKeywords: assessment, course, design, documentation, large, management, methods, model, network, protocols, scale, solve"}
+{"kb_id": "RAGKB-0203", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00203", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 11", "pages": [243], "chunk_index": 11, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["according", "addressed", "application", "assessment", "computing", "continuous", "course", "examples", "issues", "mobile", "networks", "wireless"], "retrieval_tags": [], "source_text": "Continuous Assessment: 50%\nFinal Examination: 50%\nwic3006\nMOBILE COMPUTING\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the various wireless technologies and\nservices.\n2. Discuss important issues and challenges in mobile\ncomputing,\n3. Build a mobile computing application that is\naccording to the user requirements and operating\nenvironments.\nSynopsis of Course Content\nThis course covers the introduction to wireless networks\n‘and mobile computing, which includes looking at\nexamples of mobile computing applications, issues that\ncistinguishes wireless networks from fixed networks and\n‘examples of how the issues are addressed to support\nmobile computing.\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3006\nMOBILE COMPUTING\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the various wireless technologies and\nservices.\n2. Discuss important issues and challenges in mobile\ncomputing,\n3. Build a mobile computing application that is\naccording to the user requirements and operating\nenvironments.\nSynopsis of Course Content\nThis course covers the introduction to wireless networks\n‘and mobile computing, which includes looking at\nexamples of mobile computing applications, issues that\ncistinguishes wireless networks from fixed networks and\n‘examples of how the issues are addressed to support\nmobile computing.\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: according, addressed, application, assessment, computing, continuous, course, examples, issues, mobile, networks, wireless"}
+{"kb_id": "RAGKB-0204", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00204", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 12", "pages": [244], "chunk_index": 12, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "computing", "course", "credit", "design", "distributed", "english", "examination", "final", "instruction", "management", "network"], "retrieval_tags": [], "source_text": "Final Examination: 50%\nwic3007\nPRINCIPLES OF DISTRIBUTED COMPUTING\nCredit: 3\nCourse Pre-requisite(s):\nWIA1005 - Network Technology Foundation\nMedium of Instruction: English\nLearning Outcomes\n41. Determine the fundamental of distributed computing,\n2. Identify the issues, problems and the solutions in\ndistributed computing.\n3, Implement distributed system.\n‘Synopsis of Course Content\nThis course consists of top-down network design model\nfor large scale network which includes the requirements\nand constraints, large scale network topology design,\nmodels for addressing and naming for network devices.\nThis course also covers switching and routing protocols,\nnetwork security strategies, optimal network design,\nnetwork management planning and strategy, ISO\nnetwork management model, network management\nprotocols: SNMP, RMON, NTP, network performance\nissues, troubleshooting mechanisms and network\ndocumentation and base lining\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3008\nMICROPROCESSOR\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nFinal Examination: 50%\nwic3007\nPRINCIPLES OF DISTRIBUTED COMPUTING\nCredit: 3\nCourse Pre-requisite(s):\nWIA1005 - Network Technology Foundation\nMedium of Instruction: English\nLearning Outcomes\n41. Determine the fundamental of distributed computing,\n2. Identify the issues, problems and the solutions in\ndistributed computing.\n3, Implement distributed system.\n‘Synopsis of Course Content\nThis course consists of top-down network design model\nfor large scale network which includes the requirements\nand constraints, large scale network topology design,\nmodels for addressing and naming for network devices.\nThis course also covers switching and routing protocols,\nnetwork security strategies, optimal network design,\nnetwork management planning and strategy, ISO\nnetwork management model, network management\nprotocols: SNMP, RMON, NTP, network performance\nissues, troubleshooting mechanisms and network\ndocumentation and base lining\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3008\nMICROPROCESSOR\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\n\nKeywords: assessment, computing, course, credit, design, distributed, english, examination, final, instruction, management, network"}
+{"kb_id": "RAGKB-0205", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00205", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 13", "pages": [244], "chunk_index": 13, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["architecture", "assessment", "basic", "concept", "content", "course", "development", "explain", "fundamental", "microprocessor", "parallel", "programming"], "retrieval_tags": [], "source_text": "Learning Outcomes\n1. Explain the basic concept and microprocessor\narchitecture,\n2. Explain the processor interface and software design\ntechniques.\n3. Executes the basic concept of microprocessor\noperation\n‘Synopsis of Course Content\nThis course covers the introduction to microprocessor\nwhich includes Arithmetic processor, microprocessor\ndevelopment, instruction in microprocessor,\nmicroprocessor connection, microcontroller, advanced\nmicroprocessor, Input / Output in microprocessor and\nmicroprocessor development based on product.\nAssessment Methods\nContinuous Assessment: 50%\nwic3009\nPARALLEL PROGRAMMING\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the fundamental of parallel computing,\n2. Apply fundamental concepts. of parallel\nprogramming\n3. Use GPU programming model and architecture, key\nalgorithms, parallel programming pattems and\n‘optimization techniques.\nSynopsis of Course Content\nThis course introduces the parallel programming model\n‘and hardware The course also includes how to optimize", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nLearning Outcomes\n1. Explain the basic concept and microprocessor\narchitecture,\n2. Explain the processor interface and software design\ntechniques.\n3. Executes the basic concept of microprocessor\noperation\n‘Synopsis of Course Content\nThis course covers the introduction to microprocessor\nwhich includes Arithmetic processor, microprocessor\ndevelopment, instruction in microprocessor,\nmicroprocessor connection, microcontroller, advanced\nmicroprocessor, Input / Output in microprocessor and\nmicroprocessor development based on product.\nAssessment Methods\nContinuous Assessment: 50%\nwic3009\nPARALLEL PROGRAMMING\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the fundamental of parallel computing,\n2. Apply fundamental concepts. of parallel\nprogramming\n3. Use GPU programming model and architecture, key\nalgorithms, parallel programming pattems and\n‘optimization techniques.\nSynopsis of Course Content\nThis course introduces the parallel programming model\n‘and hardware The course also includes how to optimize\n\nKeywords: architecture, assessment, basic, concept, content, course, development, explain, fundamental, microprocessor, parallel, programming"}
+{"kb_id": "RAGKB-0206", "knowledge_group_id": "KG-0072", "source_chunk_id": "SC-00206", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Computer System and Network", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 14", "pages": [244], "chunk_index": 14, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0082", "UMI-0334", "UMI-0335"], "group_canonical_questions": ["What courses are listed under specialization elective courses - computer system and network?", "What elective focus areas are represented under specialization elective courses - computer system and network?", "How should students use the specialization elective courses - computer system and network list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "computing", "continuous", "examination", "final", "future", "gpu", "methods", "programs"], "retrieval_tags": [], "source_text": "GPU programs and the future of GPU computing.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Computer System and Network - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Computer System and Network\n\nCanonical questions:\n- What courses are listed under specialization elective courses - computer system and network?\n- What elective focus areas are represented under specialization elective courses - computer system and network?\n- How should students use the specialization elective courses - computer system and network list when selecting specialization electives?\n\nSource chunk text:\nGPU programs and the future of GPU computing.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: assessment, computing, continuous, examination, final, future, gpu, methods, programs"}
+{"kb_id": "RAGKB-0207", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00207", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 1", "pages": [246], "chunk_index": 1, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "business", "concept", "course", "credit", "describe", "design", "english", "instruction", "knowledge", "lot", "medium"], "retrieval_tags": [], "source_text": "‘wic2008\nINTERNET OF THINGS.\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of\nIntemet-of-Things.\n2. Design loT application using existing\ntechnology.\n3. Apply loT knowledge of practical problem\nsolving\nSynopsis of Course Content\nThe course provides an overview of\nInteret-of-Things technology concept and\npractical. It develops foundational skills using\nhands-on lab activities that stimulate the students in\napplying creative problem-solving and rapid\nprototyping in the interdisciplinary domain of\nelectronics, networking, security, data analytics,\nand business. The student-centric approach\ntranslates into the student being able to produce\nideas, design, prototype and present an loT\nsolution for an identified business or society need,\nAssessment Methods\nContinuous Assessment: 50%.\nFinal Examination: 60%\nwib2001\nKNOWLEDGE REPRESENTATION AND\nREASONING\nCredit: 3\nMedium of Instruction: English\nLaarring Oukcomes\nDescribe types of knowledge and their\nengineering processes.\n2. Differentiate the various knowledge", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\n‘wic2008\nINTERNET OF THINGS.\nCredit: 3\nCourse Pre-requisite(s): WIA1005\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of\nIntemet-of-Things.\n2. Design loT application using existing\ntechnology.\n3. Apply loT knowledge of practical problem\nsolving\nSynopsis of Course Content\nThe course provides an overview of\nInteret-of-Things technology concept and\npractical. It develops foundational skills using\nhands-on lab activities that stimulate the students in\napplying creative problem-solving and rapid\nprototyping in the interdisciplinary domain of\nelectronics, networking, security, data analytics,\nand business. The student-centric approach\ntranslates into the student being able to produce\nideas, design, prototype and present an loT\nsolution for an identified business or society need,\nAssessment Methods\nContinuous Assessment: 50%.\nFinal Examination: 60%\nwib2001\nKNOWLEDGE REPRESENTATION AND\nREASONING\nCredit: 3\nMedium of Instruction: English\nLaarring Oukcomes\nDescribe types of knowledge and their\nengineering processes.\n2. Differentiate the various knowledge\n\nKeywords: assessment, business, concept, course, credit, describe, design, english, instruction, knowledge, lot, medium"}
+{"kb_id": "RAGKB-0208", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00208", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 2", "pages": [246], "chunk_index": 2, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": ["Could you explain how should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "matched_qa_ids": ["qa_000920"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Artificial Intelligence", "apply", "assessment", "course", "knowledge", "methods", "problems", "reasoning", "representation", "selecting electives", "solve", "study planning", "such", "use", "various"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_artificial_intelligence", "undergraduate"], "source_text": "representation and knowledge reasoning\nmethods.\n3. Use the various knowledge representation and\nknowledge reasoning methods to solve\nproblems.\nSynopsis of Course Content\nThis course describes types of knowledge and their\nengineering processes as used in expert system\ndevelopment. It differentiates the various\nknowledge representations methods such as logic,\nrule-based, frame-based, semantic network, script,\nconceptual dependency, and ontology. It also\nexplains the various knowledge reasoning methods\nsuch as the deductive, inductive, monotonic, and\nnon-monotonic reasoning. Students will use the\nvarious knowledge representation and knowledge\nreasoning methods to solve problems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwib2002\nCOMPUTING MATHEMATICS II\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\nApply various formulae for operations on\ndifferentiation and integration aswell as\nmathematical transformation (Calculus).\n2. Apply the principles of algebraic matrix in\nproblem solving (Linear Algebra)", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nQuestion variants:\n- Could you explain how should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nrepresentation and knowledge reasoning\nmethods.\n3. Use the various knowledge representation and\nknowledge reasoning methods to solve\nproblems.\nSynopsis of Course Content\nThis course describes types of knowledge and their\nengineering processes as used in expert system\ndevelopment. It differentiates the various\nknowledge representations methods such as logic,\nrule-based, frame-based, semantic network, script,\nconceptual dependency, and ontology. It also\nexplains the various knowledge reasoning methods\nsuch as the deductive, inductive, monotonic, and\nnon-monotonic reasoning. Students will use the\nvarious knowledge representation and knowledge\nreasoning methods to solve problems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwib2002\nCOMPUTING MATHEMATICS II\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\nApply various formulae for operations on\ndifferentiation and integration aswell as\nmathematical transformation (Calculus).\n2. Apply the principles of algebraic matrix in\nproblem solving (Linear Algebra)\n\nKeywords: Specialization Elective Courses - Artificial Intelligence, apply, assessment, course, knowledge, methods, problems, reasoning, representation, selecting electives, solve, study planning, such, use, various"}
+{"kb_id": "RAGKB-0209", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00209", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 3", "pages": [246], "chunk_index": 3, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?", "Could you tell me what courses are listed under specialization elective courses - artificial intelligence?", "Could you tell me what elective focus areas are represented under specialization elective courses - artificial intelligence?", "Low-key, what elective focus areas are represented under specialization elective courses - artificial intelligence?"], "matched_qa_ids": ["qa_000083", "qa_000336", "qa_000337", "qa_000548", "qa_000918", "qa_000919"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Artificial Intelligence", "apply", "assessment", "cognitive", "content", "course", "courses", "covers", "eigen", "elective focus areas", "functions", "learning", "memory", "methods", "problem", "selecting electives", "study planning"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_artificial_intelligence", "undergraduate"], "source_text": "3. Apply statistical methods in problem solving\n(Statistics).\nSynopsis of Course Content\nThis course covers important mathematics t\nwhich can be applied to the artificial intelligence\nfield. The topics include calculus (differentiation\nand integration), functions and graphs, matrix\nalgebra (Eigen value, Eigen vector, dependency,\nsingularity), statistical methods (sampling, principal\n‘component analysis) and transformations (Fourier,\nLaplace etc.)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiD2003\nCOGNITIVE SCIENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify various cognitive concepts and\nprocesses,\n2. Describe memory functions related to learning\nactivities,\n3. Apply cognitive theories in everyday problem\nsolving.\nSynopsis of Course Content\nThis course covers the fundamentals on cognitive\nscience. It covers topics on mind and machine,\nperception (object recognition), attention &\nconsciousness, memory (short term memory,\nworking memory and long term memory), forgetting,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n- Could you tell me what courses are listed under specialization elective courses - artificial intelligence?\n- Could you tell me what elective focus areas are represented under specialization elective courses - artificial intelligence?\n- Low-key, what elective focus areas are represented under specialization elective courses - artificial intelligence?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\n3. Apply statistical methods in problem solving\n(Statistics).\nSynopsis of Course Content\nThis course covers important mathematics t\nwhich can be applied to the artificial intelligence\nfield. The topics include calculus (differentiation\nand integration), functions and graphs, matrix\nalgebra (Eigen value, Eigen vector, dependency,\nsingularity), statistical methods (sampling, principal\n‘component analysis) and transformations (Fourier,\nLaplace etc.)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiD2003\nCOGNITIVE SCIENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify various cognitive concepts and\nprocesses,\n2. Describe memory functions related to learning\nactivities,\n3. Apply cognitive theories in everyday problem\nsolving.\nSynopsis of Course Content\nThis course covers the fundamentals on cognitive\nscience. It covers topics on mind and machine,\nperception (object recognition), attention &\nconsciousness, memory (short term memory,\nworking memory and long term memory), forgetting,\n\nKeywords: Specialization Elective Courses - Artificial Intelligence, apply, assessment, cognitive, content, course, courses, covers, eigen, elective focus areas, functions, learning, memory, methods, problem, selecting electives, study planning"}
+{"kb_id": "RAGKB-0210", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00210", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 4", "pages": [247], "chunk_index": 4, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "continuous", "course", "examination", "final", "functional", "functions", "includes", "intelligence", "logic", "methods", "programming"], "retrieval_tags": [], "source_text": "mental representation and visual perception,\ncategory, language, intelligence and creativity\nemotion and expression, problem solving, reasoning\nand decision making\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWID3001\nFUNCTIONAL AND LOGIC PROGRAMMING\nCredit: 3\nMedium of Instruction: English\nLearning Outcomes\n1 Describe basic principles and features of\nfunctional and logic programming.\n2. Explain concepts and methods of functional and\nlogic programming\n3. Apply functional and logic programming\nknowledge.\nSynopsis of Course Content\nThis course introduces Artificial Intelligence (Al)\nprogramming languages, which covers functional\nand logic styles of programming. It describes the\nfunctional programming that uses functions as its\nbasis and includes topics such as types and\nclasses, lists, recursions, and higher-order\nfunctions. The logic programming is based on\nformal logic and includes topics such as clauses\n‘and predicates, unification, operators. and\narithmetic, cuts and negation.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwip3002", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nmental representation and visual perception,\ncategory, language, intelligence and creativity\nemotion and expression, problem solving, reasoning\nand decision making\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWID3001\nFUNCTIONAL AND LOGIC PROGRAMMING\nCredit: 3\nMedium of Instruction: English\nLearning Outcomes\n1 Describe basic principles and features of\nfunctional and logic programming.\n2. Explain concepts and methods of functional and\nlogic programming\n3. Apply functional and logic programming\nknowledge.\nSynopsis of Course Content\nThis course introduces Artificial Intelligence (Al)\nprogramming languages, which covers functional\nand logic styles of programming. It describes the\nfunctional programming that uses functions as its\nbasis and includes topics such as types and\nclasses, lists, recursions, and higher-order\nfunctions. The logic programming is based on\nformal logic and includes topics such as clauses\n‘and predicates, unification, operators. and\narithmetic, cuts and negation.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwip3002\n\nKeywords: assessment, continuous, course, examination, final, functional, functions, includes, intelligence, logic, methods, programming"}
+{"kb_id": "RAGKB-0211", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00211", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 5", "pages": [247], "chunk_index": 5, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "applications", "assessment", "course", "credit", "english", "fuzzy", "language", "natural", "nlp", "processing", "techniques"], "retrieval_tags": [], "source_text": "NATURAL LANGUAGE PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the various levels of natural language\nprocessing.\n2. Explain the approaches and applications of\nnatural language processing\n3, Apply natural language processing techniques\nto solve problems.\nSynopsis of Course Content\nThe course introduces the theory and methods of\nNatural Language Processing (NLP). It covers @\nbroad range of topics in NLP including basic text\nprocessing, minimum edit distance, syntactic\nanalysis, and semantic analysis. In addition, it also\ndiscusses some NLP applications such as machine\ntranslation and sentiment analysis.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WID3007\nFUZZY LOGIC\nCredit: 3\nCourse Pre-requisite(s): WIX1001\nMedium of Instruction: English\nLearning Outcomes\nUnderstand the concept and techniques of\nfuzzy set theory and fuzzy logic\nistinguish fuzzy rules and fuzzy relations from\ntheir crisp counterparts.\n3. Implement fuzzy inference systems and fuzzy\nclustering techniques in problem solving", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nNATURAL LANGUAGE PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the various levels of natural language\nprocessing.\n2. Explain the approaches and applications of\nnatural language processing\n3, Apply natural language processing techniques\nto solve problems.\nSynopsis of Course Content\nThe course introduces the theory and methods of\nNatural Language Processing (NLP). It covers @\nbroad range of topics in NLP including basic text\nprocessing, minimum edit distance, syntactic\nanalysis, and semantic analysis. In addition, it also\ndiscusses some NLP applications such as machine\ntranslation and sentiment analysis.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WID3007\nFUZZY LOGIC\nCredit: 3\nCourse Pre-requisite(s): WIX1001\nMedium of Instruction: English\nLearning Outcomes\nUnderstand the concept and techniques of\nfuzzy set theory and fuzzy logic\nistinguish fuzzy rules and fuzzy relations from\ntheir crisp counterparts.\n3. Implement fuzzy inference systems and fuzzy\nclustering techniques in problem solving\n\nKeywords: analysis, applications, assessment, course, credit, english, fuzzy, language, natural, nlp, processing, techniques"}
+{"kb_id": "RAGKB-0212", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00212", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 6", "pages": [247], "chunk_index": 6, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["act", "assessment", "autonomous", "concept", "course", "discuss", "fuzzy", "making", "methods", "robots", "solve", "synopsis"], "retrieval_tags": [], "source_text": "‘Synopsis of Course Content\nThis course begins with definition, concept, and\nexamples of fuzzy logic. It covers fuzzy sets, rules,\noperations, relations, and membership functions. It\nalso discuss fuzzy logics, _fuzzifcation,\ndefuzzification, fuzzy systems, and future\napplications.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiD3010\nAUTONOMOUS ROBOTS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe various robot components such as\nsensors, actuators and computational nodes.\n2. Discuss conceptual and technical challenges in\nautonomous robots.\n3. Apply methods for decision making in\nautonomous robots.\nSynopsis of Course Contents\nThis course introduces the basic concept of\nautonomous system by making robots that can\nobserve, reason and act. The syllabus includes\nleaming how robots interpret noisy sensor inputs,\ncontrol its actions, recover from failures, react\nversus feason about @ situation, solve\nsub-problems, solve long-term goals and coexist in\nthe world. In this course, students will study", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\n‘Synopsis of Course Content\nThis course begins with definition, concept, and\nexamples of fuzzy logic. It covers fuzzy sets, rules,\noperations, relations, and membership functions. It\nalso discuss fuzzy logics, _fuzzifcation,\ndefuzzification, fuzzy systems, and future\napplications.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiD3010\nAUTONOMOUS ROBOTS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nDescribe various robot components such as\nsensors, actuators and computational nodes.\n2. Discuss conceptual and technical challenges in\nautonomous robots.\n3. Apply methods for decision making in\nautonomous robots.\nSynopsis of Course Contents\nThis course introduces the basic concept of\nautonomous system by making robots that can\nobserve, reason and act. The syllabus includes\nleaming how robots interpret noisy sensor inputs,\ncontrol its actions, recover from failures, react\nversus feason about @ situation, solve\nsub-problems, solve long-term goals and coexist in\nthe world. In this course, students will study\n\nKeywords: act, assessment, autonomous, concept, course, discuss, fuzzy, making, methods, robots, solve, synopsis"}
+{"kb_id": "RAGKB-0213", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00213", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 7", "pages": [248], "chunk_index": 7, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["achieve", "approach", "assessment", "course", "deep", "learning", "methods", "network", "neural", "practical", "pytorch", "theory"], "retrieval_tags": [], "source_text": "methodologies to achieve autonomous robot\nsystem through practical and ground up approach\nof programming your own\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n‘wiD3011\nDEEP LEARNING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe components of architecture of artificial\nneural network and convolutional neural\nnetwork.\n2. Compare categories of supervised and\nunsupervised deep network.\n3. Apply suitable leaming rule for a problem.\nSynopsis of Course Content\n‘The purpose of this course is to give the students a\nclear introduction, an intuitive understanding and a\nsmooth Python’ implementation of the most\nsuccessful deep learning techniques. The teaching\napproach provides a good balance of theory and\nctice. Theory of deep neural networks relies on\nsimple linear operations and basic gradient descent\noptimization. Practical exercises of deep learning\napplications will focus on PyTorch. Each lecture\npresents the fundamental concepts and translates\nthem into PyTorch implementations.\nAssessment Methods", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nmethodologies to achieve autonomous robot\nsystem through practical and ground up approach\nof programming your own\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n‘wiD3011\nDEEP LEARNING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe components of architecture of artificial\nneural network and convolutional neural\nnetwork.\n2. Compare categories of supervised and\nunsupervised deep network.\n3. Apply suitable leaming rule for a problem.\nSynopsis of Course Content\n‘The purpose of this course is to give the students a\nclear introduction, an intuitive understanding and a\nsmooth Python’ implementation of the most\nsuccessful deep learning techniques. The teaching\napproach provides a good balance of theory and\nctice. Theory of deep neural networks relies on\nsimple linear operations and basic gradient descent\noptimization. Practical exercises of deep learning\napplications will focus on PyTorch. Each lecture\npresents the fundamental concepts and translates\nthem into PyTorch implementations.\nAssessment Methods\n\nKeywords: achieve, approach, assessment, course, deep, learning, methods, network, neural, practical, pytorch, theory"}
+{"kb_id": "RAGKB-0214", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00214", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 8", "pages": [248], "chunk_index": 8, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "assessment", "computation", "concepts", "continuous", "course", "credit", "english", "evolutionary", "examination", "explain", "methods"], "retrieval_tags": [], "source_text": "Continuous Assessment: 50%\nFinal Examination: 50%\nwip3012\nEVOLUTIONARY COMPUTATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain evolutionary computation techniques\nand methodologies set in the context of modern\nheuristic methods.\n2. Apply various evolutionary computation\nmethods and algorithms for particular classes of\nproblems.\n3. Develop evolutionary algorithms for real-world\napplications.\nSynopsis of Course Content\nThe course aims to introduce students to a wide\nrange of Evolutionary Computation terminology,\ntechniques, and processes. The concepts taught in\nthese lectures will be practiced and reinforced by\nParticipation in projects.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWID3013\nCOMPUTER VISION AND PATTERN\nRECOGNITION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic concepts, terminology, theories,\nmodels and methods in the field of computer\nvision and pattern recognition\n2. Describe known principles of human visual\nsystem.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nContinuous Assessment: 50%\nFinal Examination: 50%\nwip3012\nEVOLUTIONARY COMPUTATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain evolutionary computation techniques\nand methodologies set in the context of modern\nheuristic methods.\n2. Apply various evolutionary computation\nmethods and algorithms for particular classes of\nproblems.\n3. Develop evolutionary algorithms for real-world\napplications.\nSynopsis of Course Content\nThe course aims to introduce students to a wide\nrange of Evolutionary Computation terminology,\ntechniques, and processes. The concepts taught in\nthese lectures will be practiced and reinforced by\nParticipation in projects.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWID3013\nCOMPUTER VISION AND PATTERN\nRECOGNITION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic concepts, terminology, theories,\nmodels and methods in the field of computer\nvision and pattern recognition\n2. Describe known principles of human visual\nsystem.\n\nKeywords: algorithms, assessment, computation, concepts, continuous, course, credit, english, evolutionary, examination, explain, methods"}
+{"kb_id": "RAGKB-0215", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00215", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 9", "pages": [248], "chunk_index": 9, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academia", "algorithms", "applications", "can", "course", "creates", "images", "pattern", "recognition", "technologies", "vision", "will"], "retrieval_tags": [], "source_text": "3. Suggest a design of a computer vision or\npattern recognition system for a specific\nproblem,\n‘Synopsis of Course Content\nEver wonder how robots can navigate space and\nperform duties, how search engines can index\nbillions of images and videos, how algorithms can\ndiagnose medical images for diseases, how\nself-driving cars can see and drive safely or how\nInstagram creates fiters or snapchat creates\nmasks? In this course, we will explore all of these\ntechnologies and leam to prototype them. Lying in\nthe heart of these modern Al applications are\ncomputer vision and pattem recognition\ntechnologies that can perceive, understand and\nreconstruct the complex visual world. Computer\nVision and Pattern Recognition is one of the fastest\ngrowing and most exciting Al disciplines in today’s\nacademia and industry. This course is designed to\nopen the doors for students who are interested in\nleaming about the fundamental principles and\nimportant applications of computer vision and\npattern recognition. We will expose students to a\nnumber of real-world applications that are", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\n3. Suggest a design of a computer vision or\npattern recognition system for a specific\nproblem,\n‘Synopsis of Course Content\nEver wonder how robots can navigate space and\nperform duties, how search engines can index\nbillions of images and videos, how algorithms can\ndiagnose medical images for diseases, how\nself-driving cars can see and drive safely or how\nInstagram creates fiters or snapchat creates\nmasks? In this course, we will explore all of these\ntechnologies and leam to prototype them. Lying in\nthe heart of these modern Al applications are\ncomputer vision and pattem recognition\ntechnologies that can perceive, understand and\nreconstruct the complex visual world. Computer\nVision and Pattern Recognition is one of the fastest\ngrowing and most exciting Al disciplines in today’s\nacademia and industry. This course is designed to\nopen the doors for students who are interested in\nleaming about the fundamental principles and\nimportant applications of computer vision and\npattern recognition. We will expose students to a\nnumber of real-world applications that are\n\nKeywords: academia, algorithms, applications, can, course, creates, images, pattern, recognition, technologies, vision, will"}
+{"kb_id": "RAGKB-0216", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00216", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 10", "pages": [248], "chunk_index": 10, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "assessment", "continuous", "cutting-edge", "daily", "designed", "examination", "few", "final", "get", "guide", "will"], "retrieval_tags": [], "source_text": "important to our daily lives. More importantly, we\nwill guide students through a series of well\ndesigned projects such that they will get to\nimplement a few interesting and cutting-edge\ncomputer vision and pattern recognition algorithms.\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 0%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nimportant to our daily lives. More importantly, we\nwill guide students through a series of well\ndesigned projects such that they will get to\nimplement a few interesting and cutting-edge\ncomputer vision and pattern recognition algorithms.\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 0%\n\nKeywords: algorithms, assessment, continuous, cutting-edge, daily, designed, examination, few, final, get, guide, will"}
+{"kb_id": "RAGKB-0217", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00217", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 11", "pages": [249], "chunk_index": 11, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "assessment", "content", "course", "covers", "credit", "design", "english", "equations", "methods", "numerical", "system"], "retrieval_tags": [], "source_text": "wiD3014\nPRATICAL ARTIFICIAL INTELLIGENCE\nwic3004\nVIRTUAL REALITY\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instruction: English\nLearning Outcomes\nIdentify solution approach that is suitable for the\nstated problem\n2. Conduct suitable requirement gathering, system\nanalysis and design techniques.\n3. Present the project solution.\nSynopsis of Course Content\nThis course covers the practical activities including\nsystem analysis and design, —_system\nimplementation, testing and evaluating the\ndeveloped system and project presentation\nAssessment Methods\nContinuous Assessment: 100%\nWID3015\nNUMERICAL ANALYSIS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1, Solve equations using numerical methods\n2. Apply numerical methods in order to solve\ndifferentiation/integration problems.\nSynopsis of Course Content\nThis course covers numerical analysis end the\ncomputer implementation of numerical problems.\nTopics include, interpolation & function\napproximation, system of linear equations solving\nalgebraic equations, numerical differentiation and", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nwiD3014\nPRATICAL ARTIFICIAL INTELLIGENCE\nwic3004\nVIRTUAL REALITY\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instruction: English\nLearning Outcomes\nIdentify solution approach that is suitable for the\nstated problem\n2. Conduct suitable requirement gathering, system\nanalysis and design techniques.\n3. Present the project solution.\nSynopsis of Course Content\nThis course covers the practical activities including\nsystem analysis and design, —_system\nimplementation, testing and evaluating the\ndeveloped system and project presentation\nAssessment Methods\nContinuous Assessment: 100%\nWID3015\nNUMERICAL ANALYSIS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1, Solve equations using numerical methods\n2. Apply numerical methods in order to solve\ndifferentiation/integration problems.\nSynopsis of Course Content\nThis course covers numerical analysis end the\ncomputer implementation of numerical problems.\nTopics include, interpolation & function\napproximation, system of linear equations solving\nalgebraic equations, numerical differentiation and\n\nKeywords: analysis, assessment, content, course, covers, credit, design, english, equations, methods, numerical, system"}
+{"kb_id": "RAGKB-0218", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00218", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 12", "pages": [249], "chunk_index": 12, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "application", "applications", "assessment", "audio", "course", "devices", "environment", "human", "reality", "virtual", "will"], "retrieval_tags": [], "source_text": "integration and numerical solution of ordinary\ndifferential equations.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): Tiada\nMedium of Instruction: English\nLearning Outcomes\nExplain the technology that support virtual\nreality applications and human perceptions\ninvolved in designing virtual reality environment\n2. Discuss other technologies including\nvisualization and augmented reality\n3. Develop a virtual reality environment using\nsuitable tools and programming language\n‘Synopsis of Course Content\nThis course begins with some introduction to virtual\nreality technology and its applications, followed by\ndetail explanation regarding input and output\ndevices that are being used in virtual reality\napplication. Students will also learn about human\nsensory systems (visual, audio and tactile) and\ntheir relations to the development of virtual reality\ndevices, as well as the possible effects these\ndevices have on human health, Then students will\nbe taught about how to model a virtual reality world", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nintegration and numerical solution of ordinary\ndifferential equations.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): Tiada\nMedium of Instruction: English\nLearning Outcomes\nExplain the technology that support virtual\nreality applications and human perceptions\ninvolved in designing virtual reality environment\n2. Discuss other technologies including\nvisualization and augmented reality\n3. Develop a virtual reality environment using\nsuitable tools and programming language\n‘Synopsis of Course Content\nThis course begins with some introduction to virtual\nreality technology and its applications, followed by\ndetail explanation regarding input and output\ndevices that are being used in virtual reality\napplication. Students will also learn about human\nsensory systems (visual, audio and tactile) and\ntheir relations to the development of virtual reality\ndevices, as well as the possible effects these\ndevices have on human health, Then students will\nbe taught about how to model a virtual reality world\n\nKeywords: also, application, applications, assessment, audio, course, devices, environment, human, reality, virtual, will"}
+{"kb_id": "RAGKB-0219", "knowledge_group_id": "KG-0071", "source_chunk_id": "SC-00219", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Artificial Intelligence", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 13", "pages": [249], "chunk_index": 13, "group_size_chunks": 13, "group_size_qas": 7, "linked_index_ids": ["UMI-0083", "UMI-0336", "UMI-0337"], "group_canonical_questions": ["What courses are listed under specialization elective courses - artificial intelligence?", "What elective focus areas are represented under specialization elective courses - artificial intelligence?", "How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["area", "assessment", "augmented", "closely", "continuous", "course", "data", "development", "ends", "examination", "reality", "virtual"], "retrieval_tags": [], "source_text": "and manipulate its objects using virtual reality\ndevelopment tools and programming languages\nThe course ends by providing students with\nfundamental knowledge regarding data\nvisualisation and augmented reality, a research\narea that is closely related to virtual reality\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Artificial Intelligence - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Artificial Intelligence\n\nCanonical questions:\n- What courses are listed under specialization elective courses - artificial intelligence?\n- What elective focus areas are represented under specialization elective courses - artificial intelligence?\n- How should students use the specialization elective courses - artificial intelligence list when selecting specialization electives?\n\nSource chunk text:\nand manipulate its objects using virtual reality\ndevelopment tools and programming languages\nThe course ends by providing students with\nfundamental knowledge regarding data\nvisualisation and augmented reality, a research\narea that is closely related to virtual reality\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: area, assessment, augmented, closely, continuous, course, data, development, ends, examination, reality, virtual"}
+{"kb_id": "RAGKB-0220", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00220", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 1", "pages": [251], "chunk_index": 1, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "business", "concept", "course", "credit", "describe", "design", "english", "instruction", "learning", "lot", "medium"], "retrieval_tags": [], "source_text": "wic2008\nINTERNET OF THINGS\nCredit: 3\nCourse Pre-requisite(s): WiA1005\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of Intemet-of- Things.\n2. Design loT application using existing technology.\n3. Apply loT knowledge of practical problem solving\n‘Synopsis of Course Content\nThe course provides an overview of Interet-of-Things.\ntechnology concept and practical. It develops\nfoundational skills using hands-on lab activities that\nstimulate the students in applying creative\nproblem-solving and rapid prototyping in the\ninterdisciplinary domain of electronics, networking,\nsecurity, data analytics, and business. The\nstudent-centric approach translates into the student\nbeing able to produce ideas, design, prototype and\npresent an loT solution for an identified business or\nsociety need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 0%\nWIE2001\nTRENDS IN INFORMATION SYSTEMS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe emerging computer __ technologies,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nwic2008\nINTERNET OF THINGS\nCredit: 3\nCourse Pre-requisite(s): WiA1005\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the basic concept of Intemet-of- Things.\n2. Design loT application using existing technology.\n3. Apply loT knowledge of practical problem solving\n‘Synopsis of Course Content\nThe course provides an overview of Interet-of-Things.\ntechnology concept and practical. It develops\nfoundational skills using hands-on lab activities that\nstimulate the students in applying creative\nproblem-solving and rapid prototyping in the\ninterdisciplinary domain of electronics, networking,\nsecurity, data analytics, and business. The\nstudent-centric approach translates into the student\nbeing able to produce ideas, design, prototype and\npresent an loT solution for an identified business or\nsociety need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 0%\nWIE2001\nTRENDS IN INFORMATION SYSTEMS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe emerging computer __ technologies,\n\nKeywords: assessment, business, concept, course, credit, describe, design, english, instruction, learning, lot, medium"}
+{"kb_id": "RAGKB-0221", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00221", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 2", "pages": [251], "chunk_index": 2, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?", "Could you tell me what courses are listed under specialization elective courses - information systems?", "Real quick, what courses are listed under specialization elective courses - information systems?", "Could you tell me what elective focus areas are represented under specialization elective courses - information systems?", "BTW, what elective focus areas are represented under specialization elective courses - information systems?", "Could you explain how should students use the specialization elective courses - information systems list when selecting specialization electives?"], "matched_qa_ids": ["qa_000084", "qa_000338", "qa_000339", "qa_000549", "qa_000550", "qa_000921", "qa_000922", "qa_000923"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Information Systems", "according", "assessment", "content", "course", "courses", "current", "elective focus areas", "open", "programming", "selecting electives", "source", "study planning", "systems", "topics", "trends", "year"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_information_systems", "undergraduate"], "source_text": "industry-specific information systems, and current\ntrends in information systems.\n2. Discuss critical issues related to managing and\nadministering the discussed information systems or\ntechnologies.\n3. Apply tools or model to relevant cases or data,\nSynopsis of Course Content\nThis course explores selected topics of specialized\ncontent (not usually covered by the other courses) as\ndetermined by the department and the lecturer with\nemphasis on current Information System trends.\nTopics under this course heading vary from year to year\naccording to the developments in computer technology\nand information systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwie2002\nOPEN-SOURCE PROGRAMMING: APPLICATION AND\nTECHNOLOGY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic characteristics and concepts of open\nsource applications and technology.\n2. Use open source programming language to populate,\nupdate and retrieve database/ dataset,\n3. Develop open source solution to resolve a business\nproblem", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n- Could you tell me what courses are listed under specialization elective courses - information systems?\n- Real quick, what courses are listed under specialization elective courses - information systems?\n- Could you tell me what elective focus areas are represented under specialization elective courses - information systems?\n- BTW, what elective focus areas are represented under specialization elective courses - information systems?\n- Could you explain how should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nindustry-specific information systems, and current\ntrends in information systems.\n2. Discuss critical issues related to managing and\nadministering the discussed information systems or\ntechnologies.\n3. Apply tools or model to relevant cases or data,\nSynopsis of Course Content\nThis course explores selected topics of specialized\ncontent (not usually covered by the other courses) as\ndetermined by the department and the lecturer with\nemphasis on current Information System trends.\nTopics under this course heading vary from year to year\naccording to the developments in computer technology\nand information systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwie2002\nOPEN-SOURCE PROGRAMMING: APPLICATION AND\nTECHNOLOGY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain basic characteristics and concepts of open\nsource applications and technology.\n2. Use open source programming language to populate,\nupdate and retrieve database/ dataset,\n3. Develop open source solution to resolve a business\nproblem\n\nKeywords: Specialization Elective Courses - Information Systems, according, assessment, content, course, courses, current, elective focus areas, open, programming, selecting electives, source, study planning, systems, topics, trends, year"}
+{"kb_id": "RAGKB-0222", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00222", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 3", "pages": [251], "chunk_index": 3, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "assessment", "concepts", "content", "course", "data", "including", "learn", "open", "source", "synopsis", "will"], "retrieval_tags": [], "source_text": "‘Synopsis of Course Content\nThis course will enable students to learn the basic\ncharacteristics and concepts of open source applications\nand technology. Student will be able to write applications\nusing open source programming in order to populate,\nretrieve and update database. They will also develop an\nopen source solution to resolve a business problem.\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\nExplain the key concepts relevant to data science\nincluding all processes in the data science life cycle\nand data science applications in real-world.\n2. Determine suitable tools, technologies and the core\nalgorithms underlying an end-to-end data science\nworkflow, including the experimental design, data\ncollection, mining, analysis, and presentation of\ninformation derived from datasets\n3. Interpret the ethical implications on the use of data\nand technologies in data science process.\n‘Synopsis of Course Content\nThe course is designed to help the student learn", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\n‘Synopsis of Course Content\nThis course will enable students to learn the basic\ncharacteristics and concepts of open source applications\nand technology. Student will be able to write applications\nusing open source programming in order to populate,\nretrieve and update database. They will also develop an\nopen source solution to resolve a business problem.\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\nExplain the key concepts relevant to data science\nincluding all processes in the data science life cycle\nand data science applications in real-world.\n2. Determine suitable tools, technologies and the core\nalgorithms underlying an end-to-end data science\nworkflow, including the experimental design, data\ncollection, mining, analysis, and presentation of\ninformation derived from datasets\n3. Interpret the ethical implications on the use of data\nand technologies in data science process.\n‘Synopsis of Course Content\nThe course is designed to help the student learn\n\nKeywords: applications, assessment, concepts, content, course, data, including, learn, open, source, synopsis, will"}
+{"kb_id": "RAGKB-0223", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00223", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 4", "pages": [251], "chunk_index": 4, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "also", "analysis", "assessment", "big", "cleansing", "concepts", "continuous", "covers", "cycle", "data", "data-driven"], "retrieval_tags": [], "source_text": "fundamental concepts of data science. It covers the\nWhat, when, who, where, why and how (SW 1H) of data\nscience in the era of big data. Also encompass, the life\ncycle of data science from data preparation, data\nprocessing, data cleansing and integration, to data\nanalysis and visualization of data in data-driven decision\nmaking. The role of data scientist, the knowledge and\nskills required is also presented. Machine learning\nalgorithms and statistical models are included. Diverse\ntechnologies, programming languages as well as tools in\ndata science are discussed.\nAssessment Methods\nContinuous Assessment: 60%\n___@", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nfundamental concepts of data science. It covers the\nWhat, when, who, where, why and how (SW 1H) of data\nscience in the era of big data. Also encompass, the life\ncycle of data science from data preparation, data\nprocessing, data cleansing and integration, to data\nanalysis and visualization of data in data-driven decision\nmaking. The role of data scientist, the knowledge and\nskills required is also presented. Machine learning\nalgorithms and statistical models are included. Diverse\ntechnologies, programming languages as well as tools in\ndata science are discussed.\nAssessment Methods\nContinuous Assessment: 60%\n___@\n\nKeywords: algorithms, also, analysis, assessment, big, cleansing, concepts, continuous, covers, cycle, data, data-driven"}
+{"kb_id": "RAGKB-0224", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00224", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 5", "pages": [252], "chunk_index": 5, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "content", "course", "credit", "documents", "engines", "examination", "final", "retrieval", "search", "searching", "web"], "retrieval_tags": [], "source_text": "Final Examination: 40%\nWiE2005\nINFORMATION RETRIEVAL AND WEB SEARCH.\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Define how the Web is organized and its\nfundamental properties.\n2. Explain how search engines collect Web content,\nindex it, and present the most relevant results for a\ngiven query.\n3. Solve problems related to effective information\nretrieval or evaluation of search engine\nperformances.\n‘Synopsis of Course Content\nThe objective of this course is to examine the main\ncomputer science principles that lie behind search\nengines. For this purpose, focus will be given to the\nInformation Retrieval (IR), which is described as \"the\nscience of searching for information in documents,\nsearching for documents themselves, searching for\nmetadata which describe documents, or searching\nwithin databases, whether relational stand-alone or\nhypertextually-networked such as the World Wide Web\"\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiE3001\nADVANCED DATABASE\nCredit: 3\nCourse Pre-requisite(s): None", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nFinal Examination: 40%\nWiE2005\nINFORMATION RETRIEVAL AND WEB SEARCH.\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Define how the Web is organized and its\nfundamental properties.\n2. Explain how search engines collect Web content,\nindex it, and present the most relevant results for a\ngiven query.\n3. Solve problems related to effective information\nretrieval or evaluation of search engine\nperformances.\n‘Synopsis of Course Content\nThe objective of this course is to examine the main\ncomputer science principles that lie behind search\nengines. For this purpose, focus will be given to the\nInformation Retrieval (IR), which is described as \"the\nscience of searching for information in documents,\nsearching for documents themselves, searching for\nmetadata which describe documents, or searching\nwithin databases, whether relational stand-alone or\nhypertextually-networked such as the World Wide Web\"\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiE3001\nADVANCED DATABASE\nCredit: 3\nCourse Pre-requisite(s): None\n\nKeywords: assessment, content, course, credit, documents, engines, examination, final, retrieval, search, searching, web"}
+{"kb_id": "RAGKB-0225", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00225", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 6", "pages": [252], "chunk_index": 6, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["apply", "assessment", "big", "business", "commerce", "course", "data", "database", "distributed", "electronic", "enable", "english"], "retrieval_tags": [], "source_text": "Medium of Instruction: English\nLearning Outcomes\n1. Administer the database.\n2. Employ basic monitoring procedures.\n3. Apply distributed database and big data.\n‘Synopsis of Course Content\nEnable students to play the role of a database\nadministrator and perform tasks such as creating\ndatabase instances, managing storage structures,\nschema objects, data concurrency, undo data,\nadministrating users security and configuring database.\nThis course will enable students to understand how\ndistributed database and big data management are\nimplemented,\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiE3002\nELECTRONIC COMMERCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Explain technologies, standards and business\nprocesses involved in implementing electronic\ncommerce.\n2. Apply advance modes on usage of information\ntechnology in business activities to boost new\nopportunities developed from the usage of Internet\namong its users.\n3. Build simple e-commerce applications for specific\nareas of business that have _ potential", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nMedium of Instruction: English\nLearning Outcomes\n1. Administer the database.\n2. Employ basic monitoring procedures.\n3. Apply distributed database and big data.\n‘Synopsis of Course Content\nEnable students to play the role of a database\nadministrator and perform tasks such as creating\ndatabase instances, managing storage structures,\nschema objects, data concurrency, undo data,\nadministrating users security and configuring database.\nThis course will enable students to understand how\ndistributed database and big data management are\nimplemented,\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiE3002\nELECTRONIC COMMERCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Explain technologies, standards and business\nprocesses involved in implementing electronic\ncommerce.\n2. Apply advance modes on usage of information\ntechnology in business activities to boost new\nopportunities developed from the usage of Internet\namong its users.\n3. Build simple e-commerce applications for specific\nareas of business that have _ potential\n\nKeywords: apply, assessment, big, business, commerce, course, data, database, distributed, electronic, enable, english"}
+{"kb_id": "RAGKB-0226", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00226", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 7", "pages": [252], "chunk_index": 7, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "content", "control", "course", "e-commerce", "marketing", "mobile", "perspective", "security", "sites", "social", "system"], "retrieval_tags": [], "source_text": "commercialization values.\nSynopsis of Course Content\nThis course consists of the following components:\n{a) Introduction of E-Commerce (b) E-Commerce\nInfrastructure: The Internet, Web and Mobile Platform; (c)\nBuilding an E-commerce Presence: Web Sites, Mobile\nSites and Apps; (d) E-Commerce Security and Payment\nSystems; (e) E-Commerce Business Models and\nConcepts; (f) E-Commerce Marketing and Advertising\n(g) Social, Mobile and Local Marketing: (h) Ethics, Law\nand E-Commerce; (i) Online Content and Media ())\nSocial Networks, Auctions and Portals, and (k)\nE-Commerce Retailing and Services.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3003\nINFORMATION SYSTEM CONTROL AND SECURITY\nCredit; 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify control and security involve in an information\nsystems from the physical/environmental perspective,\napplication perspective and operational perspective.\n2. Describe types of current security control for the\ninformation system organisation, including the", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\ncommercialization values.\nSynopsis of Course Content\nThis course consists of the following components:\n{a) Introduction of E-Commerce (b) E-Commerce\nInfrastructure: The Internet, Web and Mobile Platform; (c)\nBuilding an E-commerce Presence: Web Sites, Mobile\nSites and Apps; (d) E-Commerce Security and Payment\nSystems; (e) E-Commerce Business Models and\nConcepts; (f) E-Commerce Marketing and Advertising\n(g) Social, Mobile and Local Marketing: (h) Ethics, Law\nand E-Commerce; (i) Online Content and Media ())\nSocial Networks, Auctions and Portals, and (k)\nE-Commerce Retailing and Services.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3003\nINFORMATION SYSTEM CONTROL AND SECURITY\nCredit; 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify control and security involve in an information\nsystems from the physical/environmental perspective,\napplication perspective and operational perspective.\n2. Describe types of current security control for the\ninformation system organisation, including the\n\nKeywords: assessment, content, control, course, e-commerce, marketing, mobile, perspective, security, sites, social, system"}
+{"kb_id": "RAGKB-0227", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00227", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 8", "pages": [252], "chunk_index": 8, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["access", "application", "architecture", "attacks", "being", "control", "course", "design", "methodology", "procedure", "security", "system"], "retrieval_tags": [], "source_text": "methodology, procedure and implementation design.\n3. Solve security problems in information system using\nworkflow, procedure and control being studied\nSynopsis of Course Contents\nThere are ten elements of the syllabus of the course are;\n(2) Information Security and Risk Management; (b)\nThreats and attacks in information systems (c) Access\nControl System and Methodology; (d) Cryptography; (e)\nPhysical/Environmental Security; (f) Enterprise security\nsystem architecture and design; (g) Business Continuity\nand Disaster Recovery Planning; (h) Telecommunication,\nNetworks and Internet Security; (i) Application Security;\n(j) Operation Security.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nmethodology, procedure and implementation design.\n3. Solve security problems in information system using\nworkflow, procedure and control being studied\nSynopsis of Course Contents\nThere are ten elements of the syllabus of the course are;\n(2) Information Security and Risk Management; (b)\nThreats and attacks in information systems (c) Access\nControl System and Methodology; (d) Cryptography; (e)\nPhysical/Environmental Security; (f) Enterprise security\nsystem architecture and design; (g) Business Continuity\nand Disaster Recovery Planning; (h) Telecommunication,\nNetworks and Internet Security; (i) Application Security;\n(j) Operation Security.\n\nKeywords: access, application, architecture, attacks, being, control, course, design, methodology, procedure, security, system"}
+{"kb_id": "RAGKB-0228", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00228", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 9", "pages": [253], "chunk_index": 9, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "concepts", "continuous", "course", "engineering", "examination", "final", "kme", "knowledge", "management", "methods", "system"], "retrieval_tags": [], "source_text": "Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3005\nKNOWLEDGE MANAGEMENT AND ENGINEERING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1, Describe the concepts and technological approaches\nof Knowledge Management and Engineering (KME).\n2. Use of various tools and methods for KME.\n3. Use working knowledge and skills to plan, assess\nand develop knowledge management system.\n‘Synopsis of Course Content\nModules for this course include (a) An introduction to the\nconcepts Knowledge Management and Engineering; (b)\nKnowledge Characteristics: knowledge and its\ndifferences from data and information; (c) Techniques in\nKME: capturing, encoding and measuring of knowledge\n(d) Technological approach towards knowledge; (e)\nConcepts of Ontology, Taxonomy and related knowledge\nconstruction tools (f) Developing knowledge\nmanagement system, evaluating the knowledge needs\nof an organisation; (g) Case study on KME in\norganization.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3006\nINFORMATION SYSTEM AUDITING", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3005\nKNOWLEDGE MANAGEMENT AND ENGINEERING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1, Describe the concepts and technological approaches\nof Knowledge Management and Engineering (KME).\n2. Use of various tools and methods for KME.\n3. Use working knowledge and skills to plan, assess\nand develop knowledge management system.\n‘Synopsis of Course Content\nModules for this course include (a) An introduction to the\nconcepts Knowledge Management and Engineering; (b)\nKnowledge Characteristics: knowledge and its\ndifferences from data and information; (c) Techniques in\nKME: capturing, encoding and measuring of knowledge\n(d) Technological approach towards knowledge; (e)\nConcepts of Ontology, Taxonomy and related knowledge\nconstruction tools (f) Developing knowledge\nmanagement system, evaluating the knowledge needs\nof an organisation; (g) Case study on KME in\norganization.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3006\nINFORMATION SYSTEM AUDITING\n\nKeywords: assessment, concepts, continuous, course, engineering, examination, final, kme, knowledge, management, methods, system"}
+{"kb_id": "RAGKB-0229", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00229", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 10", "pages": [253], "chunk_index": 10, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "auditing", "business", "control", "course", "credit", "data", "effective", "english", "instruction", "learning", "medium"], "retrieval_tags": [], "source_text": "Credit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Understand the processes, principle and method of\ninformation system auditing.\n2. Identify effective auditing processes and tools for\ninformation systems.\n3. Use the works, procedures and control leamed to\nsolve current problems faced by organisations for\neffective auditing purpose.\n‘Synopsis of Course Content\nThe topics that make up the course are: (a) Auditing\nprocess; (b) Managing planning and organization of\ninformation systems; (c) Technical infrastructure and\noperational work procedure; (d) Control on information\nassets; (2) Disaster recovery and business\nsustainability; (f) System development of Business\napplications, findings, implementation and operations:\n(9) Evaluation of business process and risk\nmanagement.\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3007\nDATA MINING AND WAREHOUSING\nCredit: 3\nCourse Pre-requisite(s): None\n‘Medium of Instruction: English\nLearning Outcomes\n1. Define the term Data Mining and Data Warehouse.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Understand the processes, principle and method of\ninformation system auditing.\n2. Identify effective auditing processes and tools for\ninformation systems.\n3. Use the works, procedures and control leamed to\nsolve current problems faced by organisations for\neffective auditing purpose.\n‘Synopsis of Course Content\nThe topics that make up the course are: (a) Auditing\nprocess; (b) Managing planning and organization of\ninformation systems; (c) Technical infrastructure and\noperational work procedure; (d) Control on information\nassets; (2) Disaster recovery and business\nsustainability; (f) System development of Business\napplications, findings, implementation and operations:\n(9) Evaluation of business process and risk\nmanagement.\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3007\nDATA MINING AND WAREHOUSING\nCredit: 3\nCourse Pre-requisite(s): None\n‘Medium of Instruction: English\nLearning Outcomes\n1. Define the term Data Mining and Data Warehouse.\n\nKeywords: assessment, auditing, business, control, course, credit, data, effective, english, instruction, learning, medium"}
+{"kb_id": "RAGKB-0230", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00230", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 11", "pages": [253], "chunk_index": 11, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acquired", "appropriate", "assessment", "can", "concepts", "content", "course", "data", "schema", "synopsis", "techniques", "visualization"], "retrieval_tags": [], "source_text": "2. Draw a schema diagram for the data warehouse\nusing Star schema.\n3. Create a decision tree (DT) model using the 1D3\nalgorithm to find frequent itemsets using Aprior\n‘Synopsis of Course Content\nThe course consists of the following components: (a)\nIntroduction to Data Werehouse and Data Mining; (b)\nData Warehouses; (c) Pre-mining; (d) Classification; (e)\nAssociation Rules; (f) Clustering Algorithms.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain concepts and techniques relevant to data\nVisualization, ie; data aspects, modeling concepts,\nand visualization techniques.\n2. Apply suitable visualization techniques to\nappropriate datasets.\n3. Use appropriate tools. to analyze, and\npresentivisualize data\n‘Synopsis of Course Content\nThis course begins by introducing the concepts of data\nvisualization vs infographics. It provides students with\nthe knowledge of where data can be found (data\nsources), how data can be acquired and how data can", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\n2. Draw a schema diagram for the data warehouse\nusing Star schema.\n3. Create a decision tree (DT) model using the 1D3\nalgorithm to find frequent itemsets using Aprior\n‘Synopsis of Course Content\nThe course consists of the following components: (a)\nIntroduction to Data Werehouse and Data Mining; (b)\nData Warehouses; (c) Pre-mining; (d) Classification; (e)\nAssociation Rules; (f) Clustering Algorithms.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain concepts and techniques relevant to data\nVisualization, ie; data aspects, modeling concepts,\nand visualization techniques.\n2. Apply suitable visualization techniques to\nappropriate datasets.\n3. Use appropriate tools. to analyze, and\npresentivisualize data\n‘Synopsis of Course Content\nThis course begins by introducing the concepts of data\nvisualization vs infographics. It provides students with\nthe knowledge of where data can be found (data\nsources), how data can be acquired and how data can\n\nKeywords: acquired, appropriate, assessment, can, concepts, content, course, data, schema, synopsis, techniques, visualization"}
+{"kb_id": "RAGKB-0231", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00231", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 12", "pages": [253], "chunk_index": 12, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analyze", "analyzed", "aspects", "assessment", "capture/import", "concepts", "continuous", "data", "examination", "explains", "exposed", "techniques"], "retrieval_tags": [], "source_text": "be analyzed and presented. It explains topics such as\nmodeling concepts, data aspects, and visualization\ntechniques. Techniques for visualizing multivariate,\ntemporal, text-based, geospatial, and other types of data\nare taught. Students will be exposed to a few tools: to\ncapture/import data, to analyze data and to visualize\ndata.\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nbe analyzed and presented. It explains topics such as\nmodeling concepts, data aspects, and visualization\ntechniques. Techniques for visualizing multivariate,\ntemporal, text-based, geospatial, and other types of data\nare taught. Students will be exposed to a few tools: to\ncapture/import data, to analyze data and to visualize\ndata.\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: analyze, analyzed, aspects, assessment, capture/import, concepts, continuous, data, examination, explains, exposed, techniques"}
+{"kb_id": "RAGKB-0232", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00232", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 13", "pages": [254], "chunk_index": 13, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "assessment", "business", "content", "course", "credit", "data", "design", "different", "techniques", "use", "web"], "retrieval_tags": [], "source_text": "WIE3012\nBUSINESS ANALYTICS AND INTELLIGENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of BI and implementation of Data\nwarehouse.\n2. Integrate data from different sources.\n3. Use suitable methods and techniques to analyse\nOLAP data to solve business problems\n‘Synopsis of Course Content\nThis course discusses Online analytical processing\n(OLAP), Data warehouses end data Dimensional\nmodelling, Extract Transform Load (ETL) design, and\nstatistical and mining approaches to improve business. It\nalso covers report design, development and emerging\ntrends in business intelligence.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30\nWIF2003\nWEB PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Use different programming languages, techniques,\nplatforms and tools for web development.\n2. Use frameworks and database to develop web\napplications.\n3. Apply different techniques to improve the quality of\nweb applications.\nSynopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nWIE3012\nBUSINESS ANALYTICS AND INTELLIGENCE\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of BI and implementation of Data\nwarehouse.\n2. Integrate data from different sources.\n3. Use suitable methods and techniques to analyse\nOLAP data to solve business problems\n‘Synopsis of Course Content\nThis course discusses Online analytical processing\n(OLAP), Data warehouses end data Dimensional\nmodelling, Extract Transform Load (ETL) design, and\nstatistical and mining approaches to improve business. It\nalso covers report design, development and emerging\ntrends in business intelligence.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30\nWIF2003\nWEB PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Use different programming languages, techniques,\nplatforms and tools for web development.\n2. Use frameworks and database to develop web\napplications.\n3. Apply different techniques to improve the quality of\nweb applications.\nSynopsis of Course Content\n\nKeywords: applications, assessment, business, content, course, credit, data, design, different, techniques, use, web"}
+{"kb_id": "RAGKB-0233", "knowledge_group_id": "KG-0074", "source_chunk_id": "SC-00233", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Information Systems", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 14", "pages": [254], "chunk_index": 14, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0084", "UMI-0338", "UMI-0339"], "group_canonical_questions": ["What courses are listed under specialization elective courses - information systems?", "What elective focus areas are represented under specialization elective courses - information systems?", "How should students use the specialization elective courses - information systems list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "architecture", "aspects", "assessment", "development", "frameworks", "include", "platforms", "quality", "techniques", "tools", "web"], "retrieval_tags": [], "source_text": "This course covers the techniques, frameworks,\nplatforms and tools for Web development. Theoretical\naspects include the concepts of Web development,\nstack technologies, client-server architecture, and\nquality attributes of Web-based systems. Technical\naspects include topics on design and development of\nweb database applications using different protocols,\nprogramming languages, techniques, frameworks,\nplatforms and tools, taking relevant quality issues into\nconsideration.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Information Systems - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Information Systems\n\nCanonical questions:\n- What courses are listed under specialization elective courses - information systems?\n- What elective focus areas are represented under specialization elective courses - information systems?\n- How should students use the specialization elective courses - information systems list when selecting specialization electives?\n\nSource chunk text:\nThis course covers the techniques, frameworks,\nplatforms and tools for Web development. Theoretical\naspects include the concepts of Web development,\nstack technologies, client-server architecture, and\nquality attributes of Web-based systems. Technical\naspects include topics on design and development of\nweb database applications using different protocols,\nprogramming languages, techniques, frameworks,\nplatforms and tools, taking relevant quality issues into\nconsideration.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n\nKeywords: applications, architecture, aspects, assessment, development, frameworks, include, platforms, quality, techniques, tools, web"}
+{"kb_id": "RAGKB-0234", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00234", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 1", "pages": [256], "chunk_index": 1, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?", "Could you tell me what courses are listed under specialization elective courses - software engineering?", "Could you tell me what elective focus areas are represented under specialization elective courses - software engineering?", "So basically, what elective focus areas are represented under specialization elective courses - software engineering?", "Could you explain how should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "matched_qa_ids": ["qa_000085", "qa_000340", "qa_000341", "qa_000551", "qa_000924", "qa_000925", "qa_000926"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Software Engineering", "artefacts", "assessment", "course", "courses", "credit", "elective focus areas", "engineering", "english", "instruction", "learning", "requirements", "selecting electives", "software", "study planning", "use", "web"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_software_engineering", "undergraduate"], "source_text": "wiF2002\nSOFTWARE REQUIREMENTS ENGINEERING\nCredit 23\nCourse Prerequisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\nTo describe issues in software requirements\nengineering.\n2. To provide requirement artefacts based on\nestablished standards.\n3. To apply appropriate techniques and methods\nto elicit and analyse software requirements.\n4, To use proper models and tools for managing\nand verifying requirements.\nSynopsis of Course Content\nThis course covers the fundamentals of\nrequirements engineering: important requirements\nartefacts are covered and discussed. Core\nactivities of requirement engineering which include\nelicitation, specification, documentation,\nnegotiation, validation, and management ere\nexplained.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWwiF2003\nWEB PROGRAMMING\nCredit S\nCourse Prerequisite(s) : None\nMedium of Instruction —: English\nLearning Outcomes\n1. Use diferent programming languages,\ntechniques, platforms, and tools for web\ndevelopment.\n2. Use frameworks and database to develop web\napplications.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n- Could you tell me what courses are listed under specialization elective courses - software engineering?\n- Could you tell me what elective focus areas are represented under specialization elective courses - software engineering?\n- So basically, what elective focus areas are represented under specialization elective courses - software engineering?\n- Could you explain how should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nwiF2002\nSOFTWARE REQUIREMENTS ENGINEERING\nCredit 23\nCourse Prerequisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\nTo describe issues in software requirements\nengineering.\n2. To provide requirement artefacts based on\nestablished standards.\n3. To apply appropriate techniques and methods\nto elicit and analyse software requirements.\n4, To use proper models and tools for managing\nand verifying requirements.\nSynopsis of Course Content\nThis course covers the fundamentals of\nrequirements engineering: important requirements\nartefacts are covered and discussed. Core\nactivities of requirement engineering which include\nelicitation, specification, documentation,\nnegotiation, validation, and management ere\nexplained.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWwiF2003\nWEB PROGRAMMING\nCredit S\nCourse Prerequisite(s) : None\nMedium of Instruction —: English\nLearning Outcomes\n1. Use diferent programming languages,\ntechniques, platforms, and tools for web\ndevelopment.\n2. Use frameworks and database to develop web\napplications.\n\nKeywords: Specialization Elective Courses - Software Engineering, artefacts, assessment, course, courses, credit, elective focus areas, engineering, english, instruction, learning, requirements, selecting electives, software, study planning, use, web"}
+{"kb_id": "RAGKB-0235", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00235", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 2", "pages": [256], "chunk_index": 2, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "apply", "approach", "aspects", "course", "design", "development", "quality", "software", "techniques", "test", "web"], "retrieval_tags": [], "source_text": "3. Apply different techniques to improve the\nquality of web applications.\nSynopsis of Course Content\nThis course covers the techniques, frameworks,\nplatforms, and tools for Web development.\nTheoretical aspects include the concepts of Web\ndevelopment, stack technologies, client-server\narchitecture, and quality attributes of Web-based\nsystems. Technical aspects include topics on\ndesign and development of web database\napplications using —_ different -—_ protocols,\nprogramming languages, techniques, frameworks,\nplatforms, and tools, taking relevant quality issues\ninto consideration.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\nWiF3001\n‘SOFTWARE TESTING\nCredit 23\nCourse Prerequisites): None\nMedium of Instruction — : English\nLearning Outcomes\nExplain between various levels of testing, test\ntypes, and test approaches in test based\nsoftware development,\n2. Analyse the test design techniques of static\napproach in software development phases\n3. Apply the test design techniques of dynamic\napproach within test process\nSynopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\n3. Apply different techniques to improve the\nquality of web applications.\nSynopsis of Course Content\nThis course covers the techniques, frameworks,\nplatforms, and tools for Web development.\nTheoretical aspects include the concepts of Web\ndevelopment, stack technologies, client-server\narchitecture, and quality attributes of Web-based\nsystems. Technical aspects include topics on\ndesign and development of web database\napplications using —_ different -—_ protocols,\nprogramming languages, techniques, frameworks,\nplatforms, and tools, taking relevant quality issues\ninto consideration.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\nWiF3001\n‘SOFTWARE TESTING\nCredit 23\nCourse Prerequisites): None\nMedium of Instruction — : English\nLearning Outcomes\nExplain between various levels of testing, test\ntypes, and test approaches in test based\nsoftware development,\n2. Analyse the test design techniques of static\napproach in software development phases\n3. Apply the test design techniques of dynamic\napproach within test process\nSynopsis of Course Content\n\nKeywords: applications, apply, approach, aspects, course, design, development, quality, software, techniques, test, web"}
+{"kb_id": "RAGKB-0236", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00236", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 3", "pages": [256], "chunk_index": 3, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "box", "course", "design", "improvement", "measurement", "methods", "process", "quality", "software", "test", "testing"], "retrieval_tags": [], "source_text": "This course is designed to provide with in-depth\nknowledge on software testing and its test\nprocess. The course covers the basic principles of\nsoftware testing and test activities that include the\ntest plan, test design, monitoring, implementation,\nand test closure. The students will also leam\nvarious categories of test design techniques and\nmethods used in both black box and white box\ntesting of static and dynamic approaches. At the\n‘end of this course, students should be able to\nrecognize various types and levels of testing as\nwell as categorizing and applying software testing\nprocess and techniques.\nAssessment Methods\nContinuous Assessment 50%\nFinal Examination 50%\nwiF3002\n‘SOFTWARE PROCESS AND QUALITY\nCredit 13\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the fundamental concepts of software\nquality, software process, _ measurement\nrogram, and sofware process improvement,\n2. Apply the principles of measurement and\nimprovement program as part of software\nquality assurance activity to produce high", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nThis course is designed to provide with in-depth\nknowledge on software testing and its test\nprocess. The course covers the basic principles of\nsoftware testing and test activities that include the\ntest plan, test design, monitoring, implementation,\nand test closure. The students will also leam\nvarious categories of test design techniques and\nmethods used in both black box and white box\ntesting of static and dynamic approaches. At the\n‘end of this course, students should be able to\nrecognize various types and levels of testing as\nwell as categorizing and applying software testing\nprocess and techniques.\nAssessment Methods\nContinuous Assessment 50%\nFinal Examination 50%\nwiF3002\n‘SOFTWARE PROCESS AND QUALITY\nCredit 13\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe the fundamental concepts of software\nquality, software process, _ measurement\nrogram, and sofware process improvement,\n2. Apply the principles of measurement and\nimprovement program as part of software\nquality assurance activity to produce high\n\nKeywords: assessment, box, course, design, improvement, measurement, methods, process, quality, software, test, testing"}
+{"kb_id": "RAGKB-0237", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00237", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 4", "pages": [256], "chunk_index": 4, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["arifacts", "development", "evaluate", "improvement", "management", "models", "process", "quality", "software", "various"], "retrieval_tags": [], "source_text": "quality arifacts in software development\nprocess.\n3. Evaluate various software process\nimprovement models and quality management", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nquality arifacts in software development\nprocess.\n3. Evaluate various software process\nimprovement models and quality management\n\nKeywords: arifacts, development, evaluate, improvement, management, models, process, quality, software, various"}
+{"kb_id": "RAGKB-0238", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00238", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 5", "pages": [257], "chunk_index": 5, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["architecture", "assessment", "assurance", "course", "covers", "design", "improvement", "methods", "part", "process", "quality", "software"], "retrieval_tags": [], "source_text": "standard.\nSynopsis of Course Content\nThis course covers software quality, software\nprocess, and sofware process improvement. It\nintroduces the softwere quality assurance and the\nimportance of process quality. Various existing\nsoftware development methodologies are also\nbeing studied. It is followed by measurement\nprogram as part of software quality assurance\nactivity to produce quality artifacts. The later part\ndiscusses software process improvement. Various\nmodels that support software process\nimprovement are presented, and these include the\nCMMI, ISO $000, SPICE, PSP and TSP.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWiF3004\nSOFTWARE ARCHITECTURE AND DESIGN\nPARADIGMS:\nCredit ne\nCourse Prerequisite(s) : WiA2002\nMedium of Instruction: English\nLearning Outcomes\nDifferentiate between function-oriented, object-\noriented, and data-structure centered design\nmethods.\n2. Apply the design principles in producing\nsoftware architecture desion.\n3. Analyze software architecture.\n‘Synopsis of Course Contents\nThis course covers software design issues and", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nstandard.\nSynopsis of Course Content\nThis course covers software quality, software\nprocess, and sofware process improvement. It\nintroduces the softwere quality assurance and the\nimportance of process quality. Various existing\nsoftware development methodologies are also\nbeing studied. It is followed by measurement\nprogram as part of software quality assurance\nactivity to produce quality artifacts. The later part\ndiscusses software process improvement. Various\nmodels that support software process\nimprovement are presented, and these include the\nCMMI, ISO $000, SPICE, PSP and TSP.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWiF3004\nSOFTWARE ARCHITECTURE AND DESIGN\nPARADIGMS:\nCredit ne\nCourse Prerequisite(s) : WiA2002\nMedium of Instruction: English\nLearning Outcomes\nDifferentiate between function-oriented, object-\noriented, and data-structure centered design\nmethods.\n2. Apply the design principles in producing\nsoftware architecture desion.\n3. Analyze software architecture.\n‘Synopsis of Course Contents\nThis course covers software design issues and\n\nKeywords: architecture, assessment, assurance, course, covers, design, improvement, methods, part, process, quality, software"}
+{"kb_id": "RAGKB-0239", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00239", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 6", "pages": [257], "chunk_index": 6, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["activities", "architectural", "assessment", "attributes", "course", "design", "evolution", "fundamentals", "maintenance", "methods", "quality", "software"], "retrieval_tags": [], "source_text": "design principles; the different types of design\nmethods such as function-oriented design,\nobject-oriented design (emphasizing on\ndeployment diagram), data-structure centered\ndesign; architecture design; architectural\nstructures and views; quality attributes; tactics to\nachieve quality attributes; architectural\nstyles/patterns (such as client-server, peer-to-peer,\nlayered, and so on); introduction to design\npatterns; domain specific architectures; and tools.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWiF3005\nSOFTWARE MAINTENANCE AND EVOLUTION\nCreait :3\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\nThe fundamentals of software maintenance,\nmaintenance processes, and activities.\n2. Apply suitable techniques and tools for\nperforming software maintenance activities.\n3. Assess various strategies for evolving a legacy\nsoftware system\nSynopsis of Course Content\nThis course mainly covers software maintenance\nfundamentals, key issues in maintenance,\nmaintenance process, techniques for\nmaintenance, and evolution in maintenance", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\ndesign principles; the different types of design\nmethods such as function-oriented design,\nobject-oriented design (emphasizing on\ndeployment diagram), data-structure centered\ndesign; architecture design; architectural\nstructures and views; quality attributes; tactics to\nachieve quality attributes; architectural\nstyles/patterns (such as client-server, peer-to-peer,\nlayered, and so on); introduction to design\npatterns; domain specific architectures; and tools.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWiF3005\nSOFTWARE MAINTENANCE AND EVOLUTION\nCreait :3\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\nThe fundamentals of software maintenance,\nmaintenance processes, and activities.\n2. Apply suitable techniques and tools for\nperforming software maintenance activities.\n3. Assess various strategies for evolving a legacy\nsoftware system\nSynopsis of Course Content\nThis course mainly covers software maintenance\nfundamentals, key issues in maintenance,\nmaintenance process, techniques for\nmaintenance, and evolution in maintenance\n\nKeywords: activities, architectural, assessment, attributes, course, design, evolution, fundamentals, maintenance, methods, quality, software"}
+{"kb_id": "RAGKB-0240", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00240", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 7", "pages": [257], "chunk_index": 7, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["activities", "assessment", "comprehension", "configuration", "engineering", "evolution", "issues", "maintenance", "management", "processes", "software", "such"], "retrieval_tags": [], "source_text": "activities. Topics include definitions, terminology\nand categories of maintenance (Corrective\nMaintenance, Perfective Maintenance, Adaptive\nMaintenance, Preventive Maintenance); evolution\nof software; technical and management issues in\nmaintenance (such as technical issues related to\ntesting, impact analysis, and maintainability;\nmanagement issues such as staffing, process,\norganizational aspects, and outsourcing and\noffshoring); maintenance cost estimation and\nmeasurement; maintenance processes and\nactivities (such es maintenance planning activities,\nsoftware configuration management (configuration\nitem, processes, and activities in configuration\nmanagement, patches), activities for software\nquality); techniques for maintenance such as\nprogram comprehension, reengineering, reverse\nengineering, migration, and retirement; evolution\nof legacy systems; usage of tools related to\nmaintenance (such as for_—_program\ncomprehension, reverse engineering,\nconfiguration management).\nAssessment Methods\nContinuous Assessment 50%\nFinal Examination 50%\nWIF3006\nCOMPONENT-BASED SOFTWARE ENGINEERING", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nactivities. Topics include definitions, terminology\nand categories of maintenance (Corrective\nMaintenance, Perfective Maintenance, Adaptive\nMaintenance, Preventive Maintenance); evolution\nof software; technical and management issues in\nmaintenance (such as technical issues related to\ntesting, impact analysis, and maintainability;\nmanagement issues such as staffing, process,\norganizational aspects, and outsourcing and\noffshoring); maintenance cost estimation and\nmeasurement; maintenance processes and\nactivities (such es maintenance planning activities,\nsoftware configuration management (configuration\nitem, processes, and activities in configuration\nmanagement, patches), activities for software\nquality); techniques for maintenance such as\nprogram comprehension, reengineering, reverse\nengineering, migration, and retirement; evolution\nof legacy systems; usage of tools related to\nmaintenance (such as for_—_program\ncomprehension, reverse engineering,\nconfiguration management).\nAssessment Methods\nContinuous Assessment 50%\nFinal Examination 50%\nWIF3006\nCOMPONENT-BASED SOFTWARE ENGINEERING\n\nKeywords: activities, assessment, comprehension, configuration, engineering, evolution, issues, maintenance, management, processes, software, such"}
+{"kb_id": "RAGKB-0241", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00241", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 8", "pages": [257], "chunk_index": 8, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["component-level", "concepts", "course", "credit", "design", "development", "english", "explain", "fundamental", "instruction", "learning", "reuse"], "retrieval_tags": [], "source_text": "Credit :3\nCourse Prerequisite(s) : WiA2002\nMedium of Instruction: English\nLearning Outcomes\n1. Explain fundamental concepts, principles, and\ntechniques in software reuse specifically on\ndevelopment for reuse, development by reuse,\nand component-level design.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nCredit :3\nCourse Prerequisite(s) : WiA2002\nMedium of Instruction: English\nLearning Outcomes\n1. Explain fundamental concepts, principles, and\ntechniques in software reuse specifically on\ndevelopment for reuse, development by reuse,\nand component-level design.\n\nKeywords: component-level, concepts, course, credit, design, development, english, explain, fundamental, instruction, learning, reuse"}
+{"kb_id": "RAGKB-0242", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00242", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 9", "pages": [258], "chunk_index": 9, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["api", "application", "assessment", "component", "component-based", "components", "course", "covers", "design", "developmentidesign", "reuse", "systems"], "retrieval_tags": [], "source_text": "2. Analyze changes to the existing application\nusing component-based approach.\n3. Develop component-based application using\nvarious component frameworks and\nprogramming APIs.\nSynopsis of Course Content\nThis course covers the fundamental concepts and\nprinciples of software reuse, componentlevel\ndevelopment, developmentidesign for reuse,\ndevelopmentidesign by reuse, and design\npattems, It includes the definition and explanation\nof the nature of components, components\ninterfaces, Interfaces as contracts, benefits of\ncomponents, component design, and assembly. It\nintroduces the architecture of component-based\nsystems, component-based software engineering\nframeworks such as SCA, Spring, OSGi, EJB, and\nalso covers component-based computing, API\nprogramming, class browsers, and related tools,\nas well as debugging in the API environment.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 1 50%\nWIF3008\nREAL TIME SYSTEMS\nCredit\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Define the principles of real time systems and", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\n2. Analyze changes to the existing application\nusing component-based approach.\n3. Develop component-based application using\nvarious component frameworks and\nprogramming APIs.\nSynopsis of Course Content\nThis course covers the fundamental concepts and\nprinciples of software reuse, componentlevel\ndevelopment, developmentidesign for reuse,\ndevelopmentidesign by reuse, and design\npattems, It includes the definition and explanation\nof the nature of components, components\ninterfaces, Interfaces as contracts, benefits of\ncomponents, component design, and assembly. It\nintroduces the architecture of component-based\nsystems, component-based software engineering\nframeworks such as SCA, Spring, OSGi, EJB, and\nalso covers component-based computing, API\nprogramming, class browsers, and related tools,\nas well as debugging in the API environment.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 1 50%\nWIF3008\nREAL TIME SYSTEMS\nCredit\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Define the principles of real time systems and\n\nKeywords: api, application, assessment, component, component-based, components, course, covers, design, developmentidesign, reuse, systems"}
+{"kb_id": "RAGKB-0243", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00243", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 10", "pages": [258], "chunk_index": 10, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "communication", "course", "issues", "python", "real", "real-time", "related", "scheduling", "scientific", "systems", "time"], "retrieval_tags": [], "source_text": "compare real time system architectures.\n2. Implement algorithms and protocols for\nscheduling, analysis, and verification for\nreal-time systems\n3. Solve problems related to real-time issues in\ncommunication networks, specifically, features\nand capabilities required to support realtime\napplications.\nSynopsis of Course Content\nThis course introduces real time systems. The\nferences between soft and hard real time\nsystems are explained. Issues related to system\ndecomposition and scheduling techniques are\ndiscussed. These include Timed Petri Net,\nclock-criven scheduling, as well as priority-criven\nscheduling of periodic, aperiodic, and sporadic\ntasks. Apart from that, the course also covers\nissues such 2s multiprocessor scheduling and\nresource access control, fault tolerance, and real\ntime communication.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWIF3009\nPYTHON FOR SCIENTIFIC COMPUTING\nCredit 3\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1, Explain scientific computation using Python in\nproblem solving", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\ncompare real time system architectures.\n2. Implement algorithms and protocols for\nscheduling, analysis, and verification for\nreal-time systems\n3. Solve problems related to real-time issues in\ncommunication networks, specifically, features\nand capabilities required to support realtime\napplications.\nSynopsis of Course Content\nThis course introduces real time systems. The\nferences between soft and hard real time\nsystems are explained. Issues related to system\ndecomposition and scheduling techniques are\ndiscussed. These include Timed Petri Net,\nclock-criven scheduling, as well as priority-criven\nscheduling of periodic, aperiodic, and sporadic\ntasks. Apart from that, the course also covers\nissues such 2s multiprocessor scheduling and\nresource access control, fault tolerance, and real\ntime communication.\nAssessment Methods\nContinuous Assessment : 50%\nFinal Examination 50%\nWIF3009\nPYTHON FOR SCIENTIFIC COMPUTING\nCredit 3\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1, Explain scientific computation using Python in\nproblem solving\n\nKeywords: assessment, communication, course, issues, python, real, real-time, related, scheduling, scientific, systems, time"}
+{"kb_id": "RAGKB-0244", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00244", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 11", "pages": [258], "chunk_index": 11, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "complex", "computing", "course", "ecosystem", "key", "language", "nontrivial", "packages", "python", "scientific", "tools"], "retrieval_tags": [], "source_text": "2. Use Python to create a variety of scripts and\napplications for the Web and systems\ndevelopment.\n3. Apply key packages of Python to solve\ncomplex and nontrivial problems in a software\nproject\nSynopsis of Course Content\nThis course introduces the landscape of scientific\ncomputing and core Python language using simple\nexamples drawn from mathematics and physics. It\ndiscusses some of the ecosystem of scientific\nlibraries, in particular, the SciPy ecosystem which\nincludes general and specialised tools for data\nmanagement and computation, productive\nexperimentation and high-performance computing.\nThese tools include Pandas, SymPy, |Python,\nIPyParallel, and Matplotiib. These state-of-the-art\ntools and key packages allow students to solve\ncomplex and nontrivial problems rapidly, efficiently\nand correctly using numerical, symbolical, and\nscientific computing approach.\nAssessment Methods\nContinuous Assessment 60%\nFinal Examination 40%\nWiF3010\nPROGRAMMING LANGUAGE PARADIGM\nCredit 23\nCourse Prerequisites): None\nMedium of Instruction: English\nLearning Outcomes", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\n2. Use Python to create a variety of scripts and\napplications for the Web and systems\ndevelopment.\n3. Apply key packages of Python to solve\ncomplex and nontrivial problems in a software\nproject\nSynopsis of Course Content\nThis course introduces the landscape of scientific\ncomputing and core Python language using simple\nexamples drawn from mathematics and physics. It\ndiscusses some of the ecosystem of scientific\nlibraries, in particular, the SciPy ecosystem which\nincludes general and specialised tools for data\nmanagement and computation, productive\nexperimentation and high-performance computing.\nThese tools include Pandas, SymPy, |Python,\nIPyParallel, and Matplotiib. These state-of-the-art\ntools and key packages allow students to solve\ncomplex and nontrivial problems rapidly, efficiently\nand correctly using numerical, symbolical, and\nscientific computing approach.\nAssessment Methods\nContinuous Assessment 60%\nFinal Examination 40%\nWiF3010\nPROGRAMMING LANGUAGE PARADIGM\nCredit 23\nCourse Prerequisites): None\nMedium of Instruction: English\nLearning Outcomes\n\nKeywords: assessment, complex, computing, course, ecosystem, key, language, nontrivial, packages, python, scientific, tools"}
+{"kb_id": "RAGKB-0245", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00245", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 12", "pages": [258], "chunk_index": 12, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "analyzes", "characteristics", "concepts", "constructs", "content", "course", "covers", "defining", "language", "programming", "various"], "retrieval_tags": [], "source_text": "1. To describe characteristics and privilege of\nvarious programming language paradigms.\n2. To use formal notation and suitable tools for\ndefining programming language syntax.\n3. To evaluate programming language design\nissues.\nSynopsis of Course Content\nThis course covers the fundamentals concepts and\nparadigm of programming languages, discusses\nthe various programming language constructs and\ntheir unique characteristics as well as their\nimplementation techniques. It also analyzes the", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\n1. To describe characteristics and privilege of\nvarious programming language paradigms.\n2. To use formal notation and suitable tools for\ndefining programming language syntax.\n3. To evaluate programming language design\nissues.\nSynopsis of Course Content\nThis course covers the fundamentals concepts and\nparadigm of programming languages, discusses\nthe various programming language constructs and\ntheir unique characteristics as well as their\nimplementation techniques. It also analyzes the\n\nKeywords: also, analyzes, characteristics, concepts, constructs, content, course, covers, defining, language, programming, various"}
+{"kb_id": "RAGKB-0246", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00246", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 13", "pages": [259], "chunk_index": 13, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "also", "assessment", "concurrent", "continuous", "course", "methods", "parallel", "problem", "processing", "programming", "sequential"], "retrieval_tags": [], "source_text": "formal methods of describing the syntax and\nsemantics of programming languages\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\nWIFsO11\nCONCURRENT AND PARALLEL PROGRAMMING\nCredit\nCourse Prerequisite(s) _: WIX1002 & WIA2004\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concepts and issues of concurrent\nand parallel processing\n2. Optimize execution of sequential code with\nconcurrent and parallel processing\n3. Build algorithms to solve concurrent and\nparallel processing problems,\nSynopsis of Course Content\nConcurrent and parallel programming plays a vital\nole in processing a complex problem in a\nconcurrent or parallel approach to improve overall\nperformance of problem solving. This course\nexplains the reasons and challenges in designing\nand implementing a concurrent or parallel program.\nStudents will leam different models and\nprogramming constructs for concurrency and\nparallelism, This course also discusses evaluation\nof worthiness to make @ sequential program\nconcurrent or parallel\nAssessment Methods\nContinuous Assessment : 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nformal methods of describing the syntax and\nsemantics of programming languages\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\nWIFsO11\nCONCURRENT AND PARALLEL PROGRAMMING\nCredit\nCourse Prerequisite(s) _: WIX1002 & WIA2004\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concepts and issues of concurrent\nand parallel processing\n2. Optimize execution of sequential code with\nconcurrent and parallel processing\n3. Build algorithms to solve concurrent and\nparallel processing problems,\nSynopsis of Course Content\nConcurrent and parallel programming plays a vital\nole in processing a complex problem in a\nconcurrent or parallel approach to improve overall\nperformance of problem solving. This course\nexplains the reasons and challenges in designing\nand implementing a concurrent or parallel program.\nStudents will leam different models and\nprogramming constructs for concurrency and\nparallelism, This course also discusses evaluation\nof worthiness to make @ sequential program\nconcurrent or parallel\nAssessment Methods\nContinuous Assessment : 50%\n\nKeywords: algorithms, also, assessment, concurrent, continuous, course, methods, parallel, problem, processing, programming, sequential"}
+{"kb_id": "RAGKB-0247", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00247", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 14", "pages": [259], "chunk_index": 14, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "basic", "business", "concept", "course", "credit", "design", "examination", "final", "instruction", "learning", "lot"], "retrieval_tags": [], "source_text": "Final Examination 50%\nwic2008.\nINTERNET OF THINGS\nCredit\nCourse Prerequisite(s) : WIA1005\nMedium of Instruction:\nnglish\nLearning Outcomes\n1. Describe the basic concept of\nIntemet-of-Things\n2. Design loT application using existing\ntechnology.\n3. Apply loT knowledge of practical problem\nsolving,\nSynopsis of Course Content\nThe course provides an overview of\nInternet-of-Things technology concept and\npractical. It develops foundational skills using\nhands-on lab activities that stimulate the students\nin applying creative problem-solving and rapid\nprototyping in the interdisciplinary domain of\nelectronics, networking, security, data analytics,\nand business. The student-centric approach\ntranslates into the student being able to produce\nideas, design, prototype, and present an loT\nsolution for an identified business or society need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\n‘WIG3005\nGAME DEVELOPMENT\nCredit 33\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic principles of computer games,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\nFinal Examination 50%\nwic2008.\nINTERNET OF THINGS\nCredit\nCourse Prerequisite(s) : WIA1005\nMedium of Instruction:\nnglish\nLearning Outcomes\n1. Describe the basic concept of\nIntemet-of-Things\n2. Design loT application using existing\ntechnology.\n3. Apply loT knowledge of practical problem\nsolving,\nSynopsis of Course Content\nThe course provides an overview of\nInternet-of-Things technology concept and\npractical. It develops foundational skills using\nhands-on lab activities that stimulate the students\nin applying creative problem-solving and rapid\nprototyping in the interdisciplinary domain of\nelectronics, networking, security, data analytics,\nand business. The student-centric approach\ntranslates into the student being able to produce\nideas, design, prototype, and present an loT\nsolution for an identified business or society need.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination 50%\n‘WIG3005\nGAME DEVELOPMENT\nCredit 33\nCourse Prerequisite(s) _: None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic principles of computer games,\n\nKeywords: assessment, basic, business, concept, course, credit, design, examination, final, instruction, learning, lot"}
+{"kb_id": "RAGKB-0248", "knowledge_group_id": "KG-0076", "source_chunk_id": "SC-00248", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Software Engineering", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 15", "pages": [259], "chunk_index": 15, "group_size_chunks": 15, "group_size_qas": 7, "linked_index_ids": ["UMI-0085", "UMI-0340", "UMI-0341"], "group_canonical_questions": ["What courses are listed under specialization elective courses - software engineering?", "What elective focus areas are represented under specialization elective courses - software engineering?", "How should students use the specialization elective courses - software engineering list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aesthetic", "assessment", "collision", "consideration", "content", "course", "design", "detection", "development", "game", "prototype", "will"], "retrieval_tags": [], "source_text": "game genre, game development life cycle, and\ndesign consideration\n2. Develop a computer game taking into\nconsideration selected game genre.\n3. Explain the collision detection in game\nprogramming.\nSynopsis of Course Content\nThis course will give an introduction to computer\ngame development starting from concept\ndevelopment to implementation of a playable game\nprototype. Both the aesthetic and technical aspects\nof game development will be covered. The\naesthetic component of the course will focus on\nstory and character development, game\nmechanics, game play, and interface design and\ncontent creation for games, The technical\nof the course will focus on\ng tools and concepts for games,\nincluding data structures and algorithms, computer\ngraphics, human-computer interaction, collision\ndetection, and Al. Common topics include project\nmanagement, prototype development, and play\ntesting. Students will work in groups and go\nthrough the complete pipeline starting from a basic\ngame idea all the way through developing a\nplayable prototype.\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Software Engineering - chunk 15\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Software Engineering\n\nCanonical questions:\n- What courses are listed under specialization elective courses - software engineering?\n- What elective focus areas are represented under specialization elective courses - software engineering?\n- How should students use the specialization elective courses - software engineering list when selecting specialization electives?\n\nSource chunk text:\ngame genre, game development life cycle, and\ndesign consideration\n2. Develop a computer game taking into\nconsideration selected game genre.\n3. Explain the collision detection in game\nprogramming.\nSynopsis of Course Content\nThis course will give an introduction to computer\ngame development starting from concept\ndevelopment to implementation of a playable game\nprototype. Both the aesthetic and technical aspects\nof game development will be covered. The\naesthetic component of the course will focus on\nstory and character development, game\nmechanics, game play, and interface design and\ncontent creation for games, The technical\nof the course will focus on\ng tools and concepts for games,\nincluding data structures and algorithms, computer\ngraphics, human-computer interaction, collision\ndetection, and Al. Common topics include project\nmanagement, prototype development, and play\ntesting. Students will work in groups and go\nthrough the complete pipeline starting from a basic\ngame idea all the way through developing a\nplayable prototype.\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: aesthetic, assessment, collision, consideration, content, course, design, detection, development, game, prototype, will"}
+{"kb_id": "RAGKB-0249", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00249", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 1", "pages": [261], "chunk_index": 1, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "content", "course", "credit", "digital", "english", "explain", "graphics", "image", "instruction", "processing", "techniques"], "retrieval_tags": [], "source_text": "wi2001\nDIGITAL IMAGE PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify techniques of digital image processing\nspecifically\n2. Explain and differentiate the usage of\ntechniques in digital image processing.\n3. Apply several digital image processing\ntechniques.\nferent\nSynopsis of Course Content\nThis course covers topics in digital image\nprocessing including image representation, image\nenhancement, image restoration, line and edge\ndetection, image segmentation and image\nrepresentation and description.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG2002\nCOMPUTER GRAPHICS\nCredit: 3\nCourse Pre-requisite(\nMedium of Instruction: English\nLearning Outcomes\n1. Understand the basic principles of\nimplementing 2D and 3D computer graphics\nprimitives.\n2, Explain the key algorithms for modelling and\nrendering graphical objects.\n3. Create interactive graphics program using a\ncomputer graphics API.\nSynopsis of Course Content\nThe course will cover the main topics in computer", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nwi2001\nDIGITAL IMAGE PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify techniques of digital image processing\nspecifically\n2. Explain and differentiate the usage of\ntechniques in digital image processing.\n3. Apply several digital image processing\ntechniques.\nferent\nSynopsis of Course Content\nThis course covers topics in digital image\nprocessing including image representation, image\nenhancement, image restoration, line and edge\ndetection, image segmentation and image\nrepresentation and description.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG2002\nCOMPUTER GRAPHICS\nCredit: 3\nCourse Pre-requisite(\nMedium of Instruction: English\nLearning Outcomes\n1. Understand the basic principles of\nimplementing 2D and 3D computer graphics\nprimitives.\n2, Explain the key algorithms for modelling and\nrendering graphical objects.\n3. Create interactive graphics program using a\ncomputer graphics API.\nSynopsis of Course Content\nThe course will cover the main topics in computer\n\nKeywords: assessment, content, course, credit, digital, english, explain, graphics, image, instruction, processing, techniques"}
+{"kb_id": "RAGKB-0250", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00250", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 2", "pages": [261], "chunk_index": 2, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "audio", "characteristics", "course", "graphics", "sound", "sounds", "speech", "synthesis", "system", "transformations", "will"], "retrieval_tags": [], "source_text": "gtaphics such as: graphics system, camera model,\ngraphics primitives, graphics coordinate system,\n2D and 3D transformations, 2D and 3D viewing\ntransformations, lighting, shadowing and texture\nmapping. Students will be using an open-source\ngraphics API to create both 2D and 3D graphic\nobjects.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwig2004\n‘AUDIO SYNTHESIS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain audio synthesis techniques and audio\ncontrol\n2. Synthesize a digital audio file in aif, wav and\nmidi format.\n3. Discuss about the characteristics of a speech\nsynthesis and speech recognition systems.\n‘Synopsis of Course Content\nThis course starts with an introduction to the\ncharacteristics of sound in terms of physical and\nacoustical sounds, followed by the subsequent\ntopics: properties of a sound wave, its relations to\nhuman perception of sound, sounds sampling and\nsound processing tools. Next, students will be\ntaught about CSound programming emphasizing", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\ngtaphics such as: graphics system, camera model,\ngraphics primitives, graphics coordinate system,\n2D and 3D transformations, 2D and 3D viewing\ntransformations, lighting, shadowing and texture\nmapping. Students will be using an open-source\ngraphics API to create both 2D and 3D graphic\nobjects.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwig2004\n‘AUDIO SYNTHESIS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain audio synthesis techniques and audio\ncontrol\n2. Synthesize a digital audio file in aif, wav and\nmidi format.\n3. Discuss about the characteristics of a speech\nsynthesis and speech recognition systems.\n‘Synopsis of Course Content\nThis course starts with an introduction to the\ncharacteristics of sound in terms of physical and\nacoustical sounds, followed by the subsequent\ntopics: properties of a sound wave, its relations to\nhuman perception of sound, sounds sampling and\nsound processing tools. Next, students will be\ntaught about CSound programming emphasizing\n\nKeywords: assessment, audio, characteristics, course, graphics, sound, sounds, speech, synthesis, system, transformations, will"}
+{"kb_id": "RAGKB-0251", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00251", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 3", "pages": [261], "chunk_index": 3, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "application", "assessment", "audio", "computer-based", "course", "design", "files", "interactive", "modulation", "synthesis", "techniques"], "retrieval_tags": [], "source_text": "on the syntax of both the orchestra and score files,\nand how to program these files according to certain\nsynthesis techniques in order to produce an audio\nfile. For this purpose, students will be taught\ncommon synthesis techniques such as additive,\nsubtractive, FM (Frequency Modulation) and AM\n(Amplitude Modulation). The course ends with an\noverview and hands on session of Audacity so\nstudents are able to relate what they have learned\nand how it is being used in developing software to\n‘manipulate or edit audio.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG2005\nINTERACTIVE DESIGN\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify task analysis for interactive design.\n2. Explain the design of _ interactive\ncomputer-based applications.\n3. Develop an interactive computer-based\napplication.\n4. Evaluate an interactive computer-based\napplication.\n‘Synopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\non the syntax of both the orchestra and score files,\nand how to program these files according to certain\nsynthesis techniques in order to produce an audio\nfile. For this purpose, students will be taught\ncommon synthesis techniques such as additive,\nsubtractive, FM (Frequency Modulation) and AM\n(Amplitude Modulation). The course ends with an\noverview and hands on session of Audacity so\nstudents are able to relate what they have learned\nand how it is being used in developing software to\n‘manipulate or edit audio.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG2005\nINTERACTIVE DESIGN\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify task analysis for interactive design.\n2. Explain the design of _ interactive\ncomputer-based applications.\n3. Develop an interactive computer-based\napplication.\n4. Evaluate an interactive computer-based\napplication.\n‘Synopsis of Course Content\n\nKeywords: able, application, assessment, audio, computer-based, course, design, files, interactive, modulation, synthesis, techniques"}
+{"kb_id": "RAGKB-0252", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00252", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 4", "pages": [262], "chunk_index": 4, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "Could you tell me what courses are listed under specialization elective courses - multimedia computing?", "Just asking, what courses are listed under specialization elective courses - multimedia computing?", "Could you tell me what elective focus areas are represented under specialization elective courses - multimedia computing?", "Real quick, what elective focus areas are represented under specialization elective courses - multimedia computing?"], "matched_qa_ids": ["qa_000086", "qa_000342", "qa_000552", "qa_000553", "qa_000927", "qa_000928"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Multimedia Computing", "assessment", "continuous", "course", "courses", "covers", "design", "elective focus areas", "examination", "final", "interactive", "mathematical", "mathematics", "methods", "multimedia"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_multimedia_computing", "undergraduate"], "source_text": "This course covers the main topics in interactive\ndesign such as the following: interaction concept\nand design; user roles in interactive design; design\nfor combining information and communication\neffective aspects of interface and interactivity; data\ncollecting, analyzing, and presentation; interactive\ndesign process; and interactive design evaluation\nprocess.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwi3001\nMATHEMATICS FOR MULTIMEDIA\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instructio\n: English\nLearning Outcomes\n1. Identify mathematical theories involved in\nmultimedia signal processing.\n2. Elaborate mathematical techniques used in\nmultimedia application.\n3. Apply mathematics theories in processing\nmultimedia objects.\nSynopsis of Course Content\nThis course covers topics such as numbers and\narithmetic: space and linearity; time and\nfrequency;sampling and estimation; scaling and\nresolution; redundancy and _information;error\ndetection and correction,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3002\nRENDERING AND ANIMATION", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- Could you tell me what courses are listed under specialization elective courses - multimedia computing?\n- Just asking, what courses are listed under specialization elective courses - multimedia computing?\n- Could you tell me what elective focus areas are represented under specialization elective courses - multimedia computing?\n- Real quick, what elective focus areas are represented under specialization elective courses - multimedia computing?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nThis course covers the main topics in interactive\ndesign such as the following: interaction concept\nand design; user roles in interactive design; design\nfor combining information and communication\neffective aspects of interface and interactivity; data\ncollecting, analyzing, and presentation; interactive\ndesign process; and interactive design evaluation\nprocess.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwi3001\nMATHEMATICS FOR MULTIMEDIA\nCredit: 3\nCourse Pre-requisite(s); None\nMedium of Instructio\n: English\nLearning Outcomes\n1. Identify mathematical theories involved in\nmultimedia signal processing.\n2. Elaborate mathematical techniques used in\nmultimedia application.\n3. Apply mathematics theories in processing\nmultimedia objects.\nSynopsis of Course Content\nThis course covers topics such as numbers and\narithmetic: space and linearity; time and\nfrequency;sampling and estimation; scaling and\nresolution; redundancy and _information;error\ndetection and correction,\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwic3002\nRENDERING AND ANIMATION\n\nKeywords: Specialization Elective Courses - Multimedia Computing, assessment, continuous, course, courses, covers, design, elective focus areas, examination, final, interactive, mathematical, mathematics, methods, multimedia"}
+{"kb_id": "RAGKB-0253", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00253", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 5", "pages": [262], "chunk_index": 5, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": ["How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?", "Could you explain how should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "matched_qa_ids": ["qa_000343", "qa_000929"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Multimedia Computing", "animation", "applications", "assessment", "course", "development", "english", "explain", "instruction", "learning", "medium", "modeling", "programming", "selecting electives", "study planning"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_multimedia_computing", "undergraduate"], "source_text": "Credit: 3\nCourse Presrequisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the techniques used in modeling,\ntexturing, animating and rendering process.\n2. Differentiate algorithms involved in generating\n3D objects.\n3. Discuss the importance of 30 computer\nanimation and relate it to their daily\nSynopsis of Course Content\nAt the beginning of this course, students will be\nexposed to the development, technology and\ncomputer animation applications. Next, students\nwill be taught about the main phases in the\ndevelopment of computer animation which include\naspects such as modeling, animation, texturing\nlighting, knowledge pertaining to. the job\nopportunities and future of computer animation and\nrendering.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiG3003\nMULTIMEDIA PROGRAMMING\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept and syntax of Java\nprogramming used to develop a muttimedia\napplication.\n2. Apply the multimedia elements in programming\nvarious mobile applications (Android & iOS).", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nQuestion variants:\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n- Could you explain how should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nCredit: 3\nCourse Presrequisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the techniques used in modeling,\ntexturing, animating and rendering process.\n2. Differentiate algorithms involved in generating\n3D objects.\n3. Discuss the importance of 30 computer\nanimation and relate it to their daily\nSynopsis of Course Content\nAt the beginning of this course, students will be\nexposed to the development, technology and\ncomputer animation applications. Next, students\nwill be taught about the main phases in the\ndevelopment of computer animation which include\naspects such as modeling, animation, texturing\nlighting, knowledge pertaining to. the job\nopportunities and future of computer animation and\nrendering.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWiG3003\nMULTIMEDIA PROGRAMMING\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept and syntax of Java\nprogramming used to develop a muttimedia\napplication.\n2. Apply the multimedia elements in programming\nvarious mobile applications (Android & iOS).\n\nKeywords: Specialization Elective Courses - Multimedia Computing, animation, applications, assessment, course, development, english, explain, instruction, learning, medium, modeling, programming, selecting electives, study planning"}
+{"kb_id": "RAGKB-0254", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00254", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 6", "pages": [262], "chunk_index": 6, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "assessment", "concept", "course", "develop", "environment", "generations", "java", "language", "programming", "reality", "virtual"], "retrieval_tags": [], "source_text": "3. Develop multimedia application using Java\nprogramming language.\nSynopsis of Course Contents\nThis course covers the following topics:\nobject-oriented programming concept; the structure\nand concept in Java object-oriented programming\nconcept; graphics and animation generations using\nAWT, JavaFX, Swing and Java2D; applets; sounds\ngenerations using Java Sound API; programming\nusing Java Media Framework (JMF), Android\nDevelopment ToolKit (ADT)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG3004\nVIRTUAL REALITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the technology that support virtual\nreality applications and human perceptions\ninvolved in designing virtual reality environment.\n2. Discuss other technologies including\nvisualization and augmented reality\n3. Develop a virtual reality environment using\nsuitable tools and programming language\n‘Synopsis of Course Content\nThis course begins with some introduction to virtual\nreality technology and its applications, followed by", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\n3. Develop multimedia application using Java\nprogramming language.\nSynopsis of Course Contents\nThis course covers the following topics:\nobject-oriented programming concept; the structure\nand concept in Java object-oriented programming\nconcept; graphics and animation generations using\nAWT, JavaFX, Swing and Java2D; applets; sounds\ngenerations using Java Sound API; programming\nusing Java Media Framework (JMF), Android\nDevelopment ToolKit (ADT)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG3004\nVIRTUAL REALITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the technology that support virtual\nreality applications and human perceptions\ninvolved in designing virtual reality environment.\n2. Discuss other technologies including\nvisualization and augmented reality\n3. Develop a virtual reality environment using\nsuitable tools and programming language\n‘Synopsis of Course Content\nThis course begins with some introduction to virtual\nreality technology and its applications, followed by\n\nKeywords: applications, assessment, concept, course, develop, environment, generations, java, language, programming, reality, virtual"}
+{"kb_id": "RAGKB-0255", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00255", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 7", "pages": [263], "chunk_index": 7, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "audio", "course", "development", "devices", "game", "human", "reality", "regarding", "relations", "systems", "virtual"], "retrieval_tags": [], "source_text": "detail explanation regarding input and output\ndevices that are being used in virtual reality\napplication. Students will also learn about human\nsensory systems (visual, audio and tactile) and\ntheir relations to the development of virtual reality\ndevices, 2s well as the possible effects these\ndevices have on human health. Then students will\nbe taught about how to model a virtual reality world\nand manipulate its objects using virtual reality\ndevelopment tools and programming languages.\nThe course ends by providing students with\nfundamental knowledge regarding data\nvisualisation and augmented reality, a research\narea that is closely related to virtual reality, systems\n(visual, audio and tactile) and their relations to the\ndevelopment of virtual reality\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG300s\nGAME DEVELOPMENT\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the basic principles of computer games,\ngame genre, game development life cycle and\ndesign consideration\n2. Develop a computer game taking into", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\ndetail explanation regarding input and output\ndevices that are being used in virtual reality\napplication. Students will also learn about human\nsensory systems (visual, audio and tactile) and\ntheir relations to the development of virtual reality\ndevices, 2s well as the possible effects these\ndevices have on human health. Then students will\nbe taught about how to model a virtual reality world\nand manipulate its objects using virtual reality\ndevelopment tools and programming languages.\nThe course ends by providing students with\nfundamental knowledge regarding data\nvisualisation and augmented reality, a research\narea that is closely related to virtual reality, systems\n(visual, audio and tactile) and their relations to the\ndevelopment of virtual reality\n‘Assessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG300s\nGAME DEVELOPMENT\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nExplain the basic principles of computer games,\ngame genre, game development life cycle and\ndesign consideration\n2. Develop a computer game taking into\n\nKeywords: assessment, audio, course, development, devices, game, human, reality, regarding, relations, systems, virtual"}
+{"kb_id": "RAGKB-0256", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00256", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 8", "pages": [263], "chunk_index": 8, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aesthetic", "assessment", "component", "content", "course", "development", "focus", "game", "games", "programming", "prototype", "will"], "retrieval_tags": [], "source_text": "consideration selected game genre.\n3. Explain collision detection in game\nprogramming,\nSynopsis of Course Content\nThis course will give an introduction to computer\ngame development starting from concept\ndevelopment to implementation of a playable ame\nprototype. Both the aesthetic and technical aspects,\nof game development will be covered. The\naesthetic component of the course will focus on\nstory and character development, game\nmechanics, game play and interface design and\ncontent creation for games. The technical\ncomponent of the course will focus on\nprogramming tools and concepts for games,\nincluding data structures & algorithms, computer\ngraphics, human-computer interaction, shader\nprogramming and Al. Common topics include\nproject management, prototype development and\nplay testing. Students will work in groups and go\nthrough the complete pipeline starting from a basic\ngame idea all the way through developing a\nplayable prototype.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG3006\nDIGITAL VIDEO PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nconsideration selected game genre.\n3. Explain collision detection in game\nprogramming,\nSynopsis of Course Content\nThis course will give an introduction to computer\ngame development starting from concept\ndevelopment to implementation of a playable ame\nprototype. Both the aesthetic and technical aspects,\nof game development will be covered. The\naesthetic component of the course will focus on\nstory and character development, game\nmechanics, game play and interface design and\ncontent creation for games. The technical\ncomponent of the course will focus on\nprogramming tools and concepts for games,\nincluding data structures & algorithms, computer\ngraphics, human-computer interaction, shader\nprogramming and Al. Common topics include\nproject management, prototype development and\nplay testing. Students will work in groups and go\nthrough the complete pipeline starting from a basic\ngame idea all the way through developing a\nplayable prototype.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiG3006\nDIGITAL VIDEO PROCESSING\nCredit: 3\nCourse Pre-requisite(s): None\n\nKeywords: aesthetic, assessment, component, content, course, development, focus, game, games, programming, prototype, will"}
+{"kb_id": "RAGKB-0257", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00257", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 9", "pages": [263], "chunk_index": 9, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "apply", "assessment", "content", "course", "digital", "english", "multimedia", "processing", "techniques", "topics", "video"], "retrieval_tags": [], "source_text": "Medium of Instruction: English\nLearning Outcomes\n1. Explain about the digital video processing\ntechniques in specific.\n2. Differentiate the use of digital video processing\n‘techniques in several multimedia applications.\n3. Apply the appropriate digital video processing\ntechniques,\n‘Synopsis of Course Content\nThis course covers topics in digital video\nprocessing as follows: representation of digital\nvideo; spatial and temporal sampling; two and\nthree dimensional motion estimation techniques;\nvideo coding techniques; stereo and multiview\nvideo processing: video compression methods and\nstandards; and error control in video\ncommunications,\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIG3007\nSPECIAL TOPICS IN MULTIMEDIA\nCredit: $\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the current and specific topics in\nmultimedia science.\n2. Describe the technologies related to multimedia\nscience.\n3. Apply the related new technologies to the\ndesign of multimedia applications.\n‘Synopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nMedium of Instruction: English\nLearning Outcomes\n1. Explain about the digital video processing\ntechniques in specific.\n2. Differentiate the use of digital video processing\n‘techniques in several multimedia applications.\n3. Apply the appropriate digital video processing\ntechniques,\n‘Synopsis of Course Content\nThis course covers topics in digital video\nprocessing as follows: representation of digital\nvideo; spatial and temporal sampling; two and\nthree dimensional motion estimation techniques;\nvideo coding techniques; stereo and multiview\nvideo processing: video compression methods and\nstandards; and error control in video\ncommunications,\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIG3007\nSPECIAL TOPICS IN MULTIMEDIA\nCredit: $\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the current and specific topics in\nmultimedia science.\n2. Describe the technologies related to multimedia\nscience.\n3. Apply the related new technologies to the\ndesign of multimedia applications.\n‘Synopsis of Course Content\n\nKeywords: applications, apply, assessment, content, course, digital, english, multimedia, processing, techniques, topics, video"}
+{"kb_id": "RAGKB-0258", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00258", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 10", "pages": [263], "chunk_index": 10, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["any", "assessment", "availabilty", "continuous", "course", "deliver", "demand", "depending", "instructor", "interested", "lecturers", "may"], "retrieval_tags": [], "source_text": "This course serves as a platform to deliver\nspecialized topics in multimedia offered by\ninterested lecturers and professionals. This course\nmay run in any semester depending on the\navailabilty of the interested instructor and the\ndemand from the students\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nThis course serves as a platform to deliver\nspecialized topics in multimedia offered by\ninterested lecturers and professionals. This course\nmay run in any semester depending on the\navailabilty of the interested instructor and the\ndemand from the students\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: any, assessment, availabilty, continuous, course, deliver, demand, depending, instructor, interested, lecturers, may"}
+{"kb_id": "RAGKB-0259", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00259", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 11", "pages": [264], "chunk_index": 11, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "concepts", "content", "course", "data", "digital", "forensic", "media", "multimedia", "security", "techniques", "various"], "retrieval_tags": [], "source_text": "Final Examination: 60%\nwig3008\nMULTIMEDIA FORENSIC AND SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instructio\n: English\nLearning Outcomes\nIdentify forensic and security issues related to\nmultimedia,\n2. Differentiate various elementary forensic\ntechniques for multimedia content.\n3. Apply appropriate security techniques in\nmultimedia content,\nSynopsis of Course Content\nThis course is designed to provide students with\nknowledge on various digital media protection\ntechnology. Students will also be exposed to the\ndifferent issues on cybercrime related to digital\nmedia. In addition, this course will discuss the\ndifferent stages in the digital forensic process and\nvarious digital forensic techniques in accordance\nwith the identified media and applicable cyber\ncrime laws.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WiE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain concepts and techniques relevant to\ndata\njie; data aspects, modeling\nconcepts, and visualization techniques.", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nFinal Examination: 60%\nwig3008\nMULTIMEDIA FORENSIC AND SECURITY\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instructio\n: English\nLearning Outcomes\nIdentify forensic and security issues related to\nmultimedia,\n2. Differentiate various elementary forensic\ntechniques for multimedia content.\n3. Apply appropriate security techniques in\nmultimedia content,\nSynopsis of Course Content\nThis course is designed to provide students with\nknowledge on various digital media protection\ntechnology. Students will also be exposed to the\ndifferent issues on cybercrime related to digital\nmedia. In addition, this course will discuss the\ndifferent stages in the digital forensic process and\nvarious digital forensic techniques in accordance\nwith the identified media and applicable cyber\ncrime laws.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘WiE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain concepts and techniques relevant to\ndata\njie; data aspects, modeling\nconcepts, and visualization techniques.\n\nKeywords: assessment, concepts, content, course, data, digital, forensic, media, multimedia, security, techniques, various"}
+{"kb_id": "RAGKB-0260", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00260", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 12", "pages": [264], "chunk_index": 12, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analyze", "apply", "appropriate", "assessment", "can", "course", "data", "techniques", "tools", "use", "visualization", "web"], "retrieval_tags": [], "source_text": "3. Apply suitable visualization techniques to\nappropriate datasets.\n4. Use appropriate tools to analyze, and present/\nvisualize data,\nSynopsis of Course Content\nThis course begins by introducing the concepts of\ndata visualization vs infographics. It provides\nstudents with the knowledge of where data can be\nfound (data sources), how data can be acquired\nand how data can be analyzed and presented. It\nexplains topics such as modeling concepts, data\naspects, and visualization techniques. Techniques\nfor visualizing multivariate, temporal, text-based\ngeospatial, and other types of data are taught\nStudents will be exposed to a few tools; to\ncapture/import data, to analyze data and to\nvisualize data,\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiF2003,\nWEB PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nUse different programming languages,\ntechniques, platforms and tools for web\ndevelopment.\n2. Use frameworks and database to develop web\napplications.\n3. Apply different techniques to improve the", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\n3. Apply suitable visualization techniques to\nappropriate datasets.\n4. Use appropriate tools to analyze, and present/\nvisualize data,\nSynopsis of Course Content\nThis course begins by introducing the concepts of\ndata visualization vs infographics. It provides\nstudents with the knowledge of where data can be\nfound (data sources), how data can be acquired\nand how data can be analyzed and presented. It\nexplains topics such as modeling concepts, data\naspects, and visualization techniques. Techniques\nfor visualizing multivariate, temporal, text-based\ngeospatial, and other types of data are taught\nStudents will be exposed to a few tools; to\ncapture/import data, to analyze data and to\nvisualize data,\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiF2003,\nWEB PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\nUse different programming languages,\ntechniques, platforms and tools for web\ndevelopment.\n2. Use frameworks and database to develop web\napplications.\n3. Apply different techniques to improve the\n\nKeywords: analyze, apply, appropriate, assessment, can, course, data, techniques, tools, use, visualization, web"}
+{"kb_id": "RAGKB-0261", "knowledge_group_id": "KG-0075", "source_chunk_id": "SC-00261", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Multimedia Computing", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 13", "pages": [264], "chunk_index": 13, "group_size_chunks": 13, "group_size_qas": 8, "linked_index_ids": ["UMI-0086", "UMI-0342", "UMI-0343"], "group_canonical_questions": ["What courses are listed under specialization elective courses - multimedia computing?", "What elective focus areas are represented under specialization elective courses - multimedia computing?", "How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "aspects", "assessment", "course", "development", "frameworks", "include", "platforms", "quality", "techniques", "tools", "web"], "retrieval_tags": [], "source_text": "quality of web applications.\nSynopsis of Course Content\nThis course covers the techniques, frameworks,\nplatforms and tools for Web development.\nTheoretical aspects include the concepts of Web\ndevelopment, stack technologies, client-server\narchitecture, and quality attributes of Web-based\nsystems. Technical aspects include topics on\ndesign and development of web database\napplications using different protocols, programming\nlanguages, techniques, frameworks, platforms and\ntools, taking relevant quality issues into\nconsideration’\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Multimedia Computing - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Multimedia Computing\n\nCanonical questions:\n- What courses are listed under specialization elective courses - multimedia computing?\n- What elective focus areas are represented under specialization elective courses - multimedia computing?\n- How should students use the specialization elective courses - multimedia computing list when selecting specialization electives?\n\nSource chunk text:\nquality of web applications.\nSynopsis of Course Content\nThis course covers the techniques, frameworks,\nplatforms and tools for Web development.\nTheoretical aspects include the concepts of Web\ndevelopment, stack technologies, client-server\narchitecture, and quality attributes of Web-based\nsystems. Technical aspects include topics on\ndesign and development of web database\napplications using different protocols, programming\nlanguages, techniques, frameworks, platforms and\ntools, taking relevant quality issues into\nconsideration’\nAssessment Method\nContinuous Assessment: 50%\nFinal Examination: 50\n\nKeywords: applications, aspects, assessment, course, development, frameworks, include, platforms, quality, techniques, tools, web"}
+{"kb_id": "RAGKB-0262", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00262", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 1", "pages": [266], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analytics", "assessment", "content", "course", "credit", "data", "knowledge", "methods", "reasoning", "representation", "techniques", "various"], "retrieval_tags": [], "source_text": "‘wiH2001\nDATA ANALYTICS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic concepts of data analytics\n2. Differentiate the various data analytics\ntechniques.\n3. Apply the appropriate data analytics\ntechniques.\nSynopsis of Course Content\nThis course aims to develop students’ ability to\ndescribe, explore and analyze data using suitable\ndata analytics techniques.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiD2001\nKNOWLEDGE REPRESENTATION AND\nREASONING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe different kinds of knowledge and their\nrelated engineering processes.\n2. Explain the various knowledge representation\nand knowledge reasoning methods.\n3. Use the various knowledge representation and\nknowledge reasoning methods to solve\nproblems\nSynopsis of Course Content\nThis course describes the different kinds of\nknowledge and their related engineering processes.\nIt explains the various knowledge representations\nmethods such @s tule-based, frame-based,", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\n‘wiH2001\nDATA ANALYTICS\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the basic concepts of data analytics\n2. Differentiate the various data analytics\ntechniques.\n3. Apply the appropriate data analytics\ntechniques.\nSynopsis of Course Content\nThis course aims to develop students’ ability to\ndescribe, explore and analyze data using suitable\ndata analytics techniques.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nwiD2001\nKNOWLEDGE REPRESENTATION AND\nREASONING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe different kinds of knowledge and their\nrelated engineering processes.\n2. Explain the various knowledge representation\nand knowledge reasoning methods.\n3. Use the various knowledge representation and\nknowledge reasoning methods to solve\nproblems\nSynopsis of Course Content\nThis course describes the different kinds of\nknowledge and their related engineering processes.\nIt explains the various knowledge representations\nmethods such @s tule-based, frame-based,\n\nKeywords: analytics, assessment, content, course, credit, data, knowledge, methods, reasoning, representation, techniques, various"}
+{"kb_id": "RAGKB-0263", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00263", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 2", "pages": [266], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algebra", "apply", "assessment", "course", "differentiation", "eigen", "integration", "knowledge", "mathematics", "methods", "reasoning", "various"], "retrieval_tags": [], "source_text": "case-based reasoning, semantic network, script,\nconceptual graph and ontology. It also explains the\nvarious knowledge reasoning methods such as the\ndeductive, inductive, monotonic and non-monotonic\nreasoning. Students will use the various knowledge\nrepresentation and knowledge reasoning methods\nto solve problems.\nAssessment Methods\nContinuous Assessment: 50%.\nFinal Examination: 50%\nwib2002\nCOMPUTING MATHEMATICS II\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Apply various formulae for operations on\ndifferentiation and integration as well as various\nmatrix algebra.\n2. Solve problems involving various types of\nmathematical transformations.\n3. Apply statistical methods and sampling in\nproblem solving.\n‘Synopsis of Course Content\nThis course covers important mathematics topics\nwhich can be applied to artificial intelligence field\nThe topics include calculus (differentiation and\nintegration), functions and graphs, matrix algebra\n(Eigen value, Eigen vector, dependency,\nsingularity), statistical methods (sampling, principle", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\ncase-based reasoning, semantic network, script,\nconceptual graph and ontology. It also explains the\nvarious knowledge reasoning methods such as the\ndeductive, inductive, monotonic and non-monotonic\nreasoning. Students will use the various knowledge\nrepresentation and knowledge reasoning methods\nto solve problems.\nAssessment Methods\nContinuous Assessment: 50%.\nFinal Examination: 50%\nwib2002\nCOMPUTING MATHEMATICS II\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of instruction: English\nLearning Outcomes\n1. Apply various formulae for operations on\ndifferentiation and integration as well as various\nmatrix algebra.\n2. Solve problems involving various types of\nmathematical transformations.\n3. Apply statistical methods and sampling in\nproblem solving.\n‘Synopsis of Course Content\nThis course covers important mathematics topics\nwhich can be applied to artificial intelligence field\nThe topics include calculus (differentiation and\nintegration), functions and graphs, matrix algebra\n(Eigen value, Eigen vector, dependency,\nsingularity), statistical methods (sampling, principle\n\nKeywords: algebra, apply, assessment, course, differentiation, eigen, integration, knowledge, mathematics, methods, reasoning, various"}
+{"kb_id": "RAGKB-0264", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00264", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 3", "pages": [266], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "assessment", "continuous", "course", "functional", "functions", "includes", "logic", "methods", "programming", "such", "topics"], "retrieval_tags": [], "source_text": "component analysis) and transformations (Fourier,\nLaplace, Hough, geometric and wavelet)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiD3001\nFUNCTIONAL AND LOGIC PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe basic principles and features of\nfunctional and logic programming.\n2. Explain concepts and methods of functional and\nlogic programming.\n3. Apply functional and logic programming\nknowledge.\nSynopsis of Course Content\nThis course introduces Artificial Intelligence (Al)\nprogramming languages, which covers functional\nand logic styles of programming. It describes the\nfunctional programming that uses functions as its\nbasis and includes topics such as types and\nclasses, lists, recursions, and higher-order\nfunctions. The logic programming is based on\nformal logic and includes topics such as clauses\nand predicates, unification, operators. and\narithmetic, cuts and negation.\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\ncomponent analysis) and transformations (Fourier,\nLaplace, Hough, geometric and wavelet)\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\n‘wiD3001\nFUNCTIONAL AND LOGIC PROGRAMMING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe basic principles and features of\nfunctional and logic programming.\n2. Explain concepts and methods of functional and\nlogic programming.\n3. Apply functional and logic programming\nknowledge.\nSynopsis of Course Content\nThis course introduces Artificial Intelligence (Al)\nprogramming languages, which covers functional\nand logic styles of programming. It describes the\nfunctional programming that uses functions as its\nbasis and includes topics such as types and\nclasses, lists, recursions, and higher-order\nfunctions. The logic programming is based on\nformal logic and includes topics such as clauses\nand predicates, unification, operators. and\narithmetic, cuts and negation.\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: analysis, assessment, continuous, course, functional, functions, includes, logic, methods, programming, such, topics"}
+{"kb_id": "RAGKB-0265", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00265", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 4", "pages": [267], "chunk_index": 4, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "assessment", "basic", "content", "course", "credit", "data", "language", "mining", "natural", "nlp", "processing"], "retrieval_tags": [], "source_text": "Final Examination: 60%\nwip3002\nNATURAL LANGUAGE PROCESSING\nCredit: 3\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the levels of natural language\nprocessing.\n2. Describe the natural language processing\ntechniques.\n3. Apply basic algorithms of natural language\nprocessing.\nSynopsis of Course Content\nThe course introduces the theory and methods of\nNatural Language Processing (NLP). It covers a\nbroad range of topics in NLP including basic text\nprocessing, minimum edit distance, syntactic\nanalysis, and semantic analysis. In addition, it also\ncusses some NLP applications such as machine\ntranslation and automatic summarization\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 60%\nWIE3007\nDATA MINING AND WAREHOUSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of Data Mining and Data\nWarehouse.\n2. Create a schema diagram for the data\nwarehouse using Star schema.\n3. Develop model using various data mining\ntechniques\nSynopsis of Course Content\nThe course consists of the following components:", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\nFinal Examination: 60%\nwip3002\nNATURAL LANGUAGE PROCESSING\nCredit: 3\nMedium of Instruction: English\nLearning Outcomes\n1. Identify the levels of natural language\nprocessing.\n2. Describe the natural language processing\ntechniques.\n3. Apply basic algorithms of natural language\nprocessing.\nSynopsis of Course Content\nThe course introduces the theory and methods of\nNatural Language Processing (NLP). It covers a\nbroad range of topics in NLP including basic text\nprocessing, minimum edit distance, syntactic\nanalysis, and semantic analysis. In addition, it also\ncusses some NLP applications such as machine\ntranslation and automatic summarization\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 60%\nWIE3007\nDATA MINING AND WAREHOUSING\nCredit: 3\nCourse Pre-requisite(s): None\nMedium of Instruction: English\nLearning Outcomes\n1. Explain the concept of Data Mining and Data\nWarehouse.\n2. Create a schema diagram for the data\nwarehouse using Star schema.\n3. Develop model using various data mining\ntechniques\nSynopsis of Course Content\nThe course consists of the following components:\n\nKeywords: analysis, assessment, basic, content, course, credit, data, language, mining, natural, nlp, processing"}
+{"kb_id": "RAGKB-0266", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00266", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 5", "pages": [267], "chunk_index": 5, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "business", "continuous", "course", "credit", "data", "design", "english", "examination", "final", "instruction", "methods"], "retrieval_tags": [], "source_text": "(a) Introduction to Data Warehouse and Data\nMining; (b) Data Warehouses; (c) Pre-mining: (d)\nClassification: (e) Association Rules; (f) Clustering\nAlgorithms.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3008\nBUSINESS ANALTYTICS AND INTELLIGENCE\nCredit: 3\nCourse Pre-requisite(s): WIA2001 Database\nMedium of Instruction: English\nLearning Outcomes\n4. Explain the concept of 8! and implementation of\nDate warehouse\n2. Integrate data from different sources.\n3. Use suitable methods and techniques to\nanalyse OLAP data to solve business problems.\nSynopsis of Course Content\nThis course discusses Online analytical processing\n(OLAP), Data warehouses and data Dimensional\nmodelling, Extract Transform Load (ETL) design,\nand statistical and mining approaches to improve\nbusiness. It also covers report design, development\nand emerging trends in business intelligence.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nWIE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\n(a) Introduction to Data Warehouse and Data\nMining; (b) Data Warehouses; (c) Pre-mining: (d)\nClassification: (e) Association Rules; (f) Clustering\nAlgorithms.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 50%\nWIE3008\nBUSINESS ANALTYTICS AND INTELLIGENCE\nCredit: 3\nCourse Pre-requisite(s): WIA2001 Database\nMedium of Instruction: English\nLearning Outcomes\n4. Explain the concept of 8! and implementation of\nDate warehouse\n2. Integrate data from different sources.\n3. Use suitable methods and techniques to\nanalyse OLAP data to solve business problems.\nSynopsis of Course Content\nThis course discusses Online analytical processing\n(OLAP), Data warehouses and data Dimensional\nmodelling, Extract Transform Load (ETL) design,\nand statistical and mining approaches to improve\nbusiness. It also covers report design, development\nand emerging trends in business intelligence.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\nWIE3010\nDATA VISUALIZATION\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\n\nKeywords: assessment, business, continuous, course, credit, data, design, english, examination, final, instruction, methods"}
+{"kb_id": "RAGKB-0267", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00267", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 6", "pages": [267], "chunk_index": 6, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analyze", "appropriate", "aspects", "assessment", "can", "concepts", "course", "data", "modeling", "techniques", "tools", "visualization"], "retrieval_tags": [], "source_text": "Explain concepts and techniques relevant to\ndata visualization, i.e.; data aspects, modeling\nconcepts, and visualization techniques.\n2. Apply suitable visualization techniques to\nappropriate datasets.\n3. Use appropriate tools to analyze, and\npresentivisualize data.\nSynopsis of Course Content\nThis course begins by introducing the concepts of\ndata visualization vs infographics. It provides\nstudents with the knowledge of where data can be\nfound (data sources), how data can be acquired\nand how data can be analyzed and presented. It\nexplains topics such as modeling concepts, data\naspects, and visualization techniques. Techniques\nfor visualizing multivariate, temporal, text-based\ngeospatial, and other types of data are taught\nStudents will be exposed to a few tools; to\ncapture/import data, to analyze data and to\nvisualize data,\nAssessment Methods\nContinuous Assessment: 50%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nSource chunk text:\nExplain concepts and techniques relevant to\ndata visualization, i.e.; data aspects, modeling\nconcepts, and visualization techniques.\n2. Apply suitable visualization techniques to\nappropriate datasets.\n3. Use appropriate tools to analyze, and\npresentivisualize data.\nSynopsis of Course Content\nThis course begins by introducing the concepts of\ndata visualization vs infographics. It provides\nstudents with the knowledge of where data can be\nfound (data sources), how data can be acquired\nand how data can be analyzed and presented. It\nexplains topics such as modeling concepts, data\naspects, and visualization techniques. Techniques\nfor visualizing multivariate, temporal, text-based\ngeospatial, and other types of data are taught\nStudents will be exposed to a few tools; to\ncapture/import data, to analyze data and to\nvisualize data,\nAssessment Methods\nContinuous Assessment: 50%\n\nKeywords: analyze, appropriate, aspects, assessment, can, concepts, course, data, modeling, techniques, tools, visualization"}
+{"kb_id": "RAGKB-0268", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00268", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 7", "pages": [268], "chunk_index": 7, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": ["How should students use the specialization elective courses - data science list when selecting specialization electives?", "Could you tell me what elective focus areas are represented under specialization elective courses - data science?", "Just asking, what elective focus areas are represented under specialization elective courses - data science?", "Could you explain how should students use the specialization elective courses - data science list when selecting specialization electives?"], "matched_qa_ids": ["qa_000345", "qa_000930", "qa_000931", "qa_000932"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Data Science", "analysis", "analytics", "applications", "assessment", "big", "content", "course", "credit", "data", "elective focus areas", "english", "examination", "final", "selecting electives", "study planning"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_data_science", "undergraduate"], "source_text": "Final Examination: 60%\nWIH3003\nBIG DATA APPLICATION AND ANALYTICS\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\n1. List the concepts of Big Date Applications and\nAnalytics.\n2. Explain suitable methods and techniques to\ncollect and analyse big data\n3. Use big data in real worid problem solutions.\nSynopsis of Course Content\nThe course will cover a) Big data applications and\nanalytics, b) Data Collection, Sampling and\nPreprocessing, ¢) Predictive Analysis, d)\nDescriptive analysis, ¢) Survival analysis, f) Social\nnetworks analysis, g) Case study of Big Data\nApplications.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n‘WIH3004\n‘TRENDS IN DATA SCIENCE\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe emerging computer technologies,\ndata science technique, industry applications,\nand current trends in data science.\n2. Discuss critical issues related to managing\ndata and technologies.\n3. Apply tools or model to relevant cases or data,\nSynopsis of Course Content", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nQuestion variants:\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n- Could you tell me what elective focus areas are represented under specialization elective courses - data science?\n- Just asking, what elective focus areas are represented under specialization elective courses - data science?\n- Could you explain how should students use the specialization elective courses - data science list when selecting specialization electives?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nFinal Examination: 60%\nWIH3003\nBIG DATA APPLICATION AND ANALYTICS\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\n1. List the concepts of Big Date Applications and\nAnalytics.\n2. Explain suitable methods and techniques to\ncollect and analyse big data\n3. Use big data in real worid problem solutions.\nSynopsis of Course Content\nThe course will cover a) Big data applications and\nanalytics, b) Data Collection, Sampling and\nPreprocessing, ¢) Predictive Analysis, d)\nDescriptive analysis, ¢) Survival analysis, f) Social\nnetworks analysis, g) Case study of Big Data\nApplications.\nAssessment Methods\nContinuous Assessment: 70%\nFinal Examination: 30%\n‘WIH3004\n‘TRENDS IN DATA SCIENCE\nCredit: 3\nCourse Pre-requisite(s) : None\nMedium of Instruction: English\nLearning Outcomes\n1. Describe emerging computer technologies,\ndata science technique, industry applications,\nand current trends in data science.\n2. Discuss critical issues related to managing\ndata and technologies.\n3. Apply tools or model to relevant cases or data,\nSynopsis of Course Content\n\nKeywords: Specialization Elective Courses - Data Science, analysis, analytics, applications, assessment, big, content, course, credit, data, elective focus areas, english, examination, final, selecting electives, study planning"}
+{"kb_id": "RAGKB-0269", "knowledge_group_id": "KG-0073", "source_chunk_id": "SC-00269", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Shared Undergraduate Curriculum", "subsection": "Specialization Elective Courses - Data Science", "title": "Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 8", "pages": [268], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 7, "linked_index_ids": ["UMI-0087", "UMI-0344", "UMI-0345"], "group_canonical_questions": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "How should students use the specialization elective courses - data science list when selecting specialization electives?"], "chunk_question_variants": ["What courses are listed under specialization elective courses - data science?", "What elective focus areas are represented under specialization elective courses - data science?", "Could you tell me what courses are listed under specialization elective courses - data science?"], "matched_qa_ids": ["qa_000087", "qa_000344", "qa_000554"], "grounded_answer_bank": ["The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses."], "retrieval_keywords": ["Specialization Elective Courses - Data Science", "according", "assessment", "content", "continuous", "course", "courses", "covered", "current", "data", "department", "elective focus areas", "topics", "year"], "retrieval_tags": ["shared_undergraduate_curriculum", "specialization_elective_courses_data_science", "undergraduate"], "source_text": "This course explores selected topics of specialized\ncontent (not usually covered by the other courses)\nas determined by the department and the lecturer\nwith emphasis on current data science trends.\nTopics under this course heading vary from year to\nyear according to the developments in computer\ntechnology and information systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 60%", "retrieval_text": "Title: Shared Undergraduate Curriculum - Specialization Elective Courses - Data Science - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Shared Undergraduate Curriculum\n\nSubsection: Specialization Elective Courses - Data Science\n\nCanonical questions:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- How should students use the specialization elective courses - data science list when selecting specialization electives?\n\nQuestion variants:\n- What courses are listed under specialization elective courses - data science?\n- What elective focus areas are represented under specialization elective courses - data science?\n- Could you tell me what courses are listed under specialization elective courses - data science?\n\nGrounded answer bank:\n- The specialization elective section is intended to show the elective pool available for that track. Students should use it as a selection list of approved elective options, checking the course code, title, credits, and semester/level planning shown in the curriculum table before choosing courses.\n\nSource chunk text:\nThis course explores selected topics of specialized\ncontent (not usually covered by the other courses)\nas determined by the department and the lecturer\nwith emphasis on current data science trends.\nTopics under this course heading vary from year to\nyear according to the developments in computer\ntechnology and information systems.\nAssessment Methods\nContinuous Assessment: 50%\nFinal Examination: 60%\n\nKeywords: Specialization Elective Courses - Data Science, according, assessment, content, continuous, course, courses, covered, current, data, department, elective focus areas, topics, year"}
+{"kb_id": "RAGKB-0270", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00270", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 1", "pages": [270], "chunk_index": 1, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "What application flow is used for industrial training placement?", "How is industrial training evaluated?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What are the main assessment components used to grade industrial training?", "Could you explain industrial training and why is it compulsory?", "Quick one: what's industrial training and why is it compulsory?", "Could you tell me what application flow is used for industrial training placement?", "Hey, what application flow is used for industrial training placement?"], "matched_qa_ids": ["qa_000088", "qa_000089", "qa_000090", "qa_000094", "qa_000098", "qa_000352", "qa_000354", "qa_000555", "qa_000556", "qa_000564", "qa_000565"], "grounded_answer_bank": ["Industrial Training is a compulsory training programme for Bachelor of Computer Science students. The handbook explains that it exposes students to real workplace operations and activities, helps them apply what they learned in university, and develops the knowledge and skills needed before entering professional practice.", "The Industrial Training Committee is appointed by the Dean and consists of Industrial Training Coordinators from departments or units in the faculty. It plans, implements, and coordinates the programme, prepares guidelines, coordinates with CITrA, identifies eligible students, and manages related industrial training administration.", "Eligible students normally undergo Industrial Training in Semester 1 of Year 3 for 24 weeks, although the faculty may approve another semester in certain cases.", "A formal flow chart for applying for Industrial Training placement through the faculty's process and career portal.", "Industrial Training is evaluated continuously through the first logbook, second logbook, presentation during the faculty supervisor's visit, end-of-training evaluation, and the final report and final logbook, with both faculty and company supervisors involved.", "Faculty supervisors are expected to monitor students progressively, review the first and second logbooks, conduct at least one company visit during Weeks 21 to 24, meet the company supervisor, assess the student's training and logbook, evaluate the final report and final logbook, coordinate the marks, and submit the evaluation forms through the career portal.", "Industrial Training is graded through continuous assessment. The main components are the First Logbook (10%), Second Logbook (10%), presentation during the Faculty Supervisor's visit (20%), End of Training Evaluation by the Company Supervisor (40%), and the Final Report with Final Logbook (20%)."], "retrieval_keywords": ["able", "activities", "allows", "also", "assessment components", "bachelor", "can", "committee", "grading", "industrial", "industrial training", "monitoring", "site visits", "supervisors", "training", "university", "will"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "INTRODUCTION\nIndustrial Training is a training program that is compulsory for students of Bachelor of Computer\nScience from the Faculty of Computer Science and Information Technology (FCSIT), Universiti\nMalaya. The purpose of this training is to give exposure to students on the operations and real\nactivities in the workplace.\nThrough Industrial Training, students will be able to see how the concepts of Computer Science\nand Information Technology learnt in university can be practiced in development processes and\ndaily management of an organization. It will also increase and improve skills that are needed by\nstudents with the guidance of professionals from industry and University. In relation to that,\nIndustrial Training plays the role as the preparation point that allows a student to get involved in a\nprofession related to his or her field of study.\nThis\nguideline\ncan\nbe\nused\nas\na\nreference\nby\nIndustrial\nTraining\nCommittee,\norganizations/companies, Company Supervisors, Faculty Supervisors and students. It provides", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- What application flow is used for industrial training placement?\n- How is industrial training evaluated?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What are the main assessment components used to grade industrial training?\n- Could you explain industrial training and why is it compulsory?\n- Quick one: what's industrial training and why is it compulsory?\n- Could you tell me what application flow is used for industrial training placement?\n- Hey, what application flow is used for industrial training placement?\n\nGrounded answer bank:\n- Industrial Training is a compulsory training programme for Bachelor of Computer Science students. The handbook explains that it exposes students to real workplace operations and activities, helps them apply what they learned in university, and develops the knowledge and skills needed before entering professional practice.\n- The Industrial Training Committee is appointed by the Dean and consists of Industrial Training Coordinators from departments or units in the faculty. It plans, implements, and coordinates the programme, prepares guidelines, coordinates with CITrA, identifies eligible students, and manages related industrial training administration.\n- Eligible students normally undergo Industrial Training in Semester 1 of Year 3 for 24 weeks, although the faculty may approve another semester in certain cases.\n- A formal flow chart for applying for Industrial Training placement through the faculty's process and career portal.\n- Industrial Training is evaluated continuously through the first logbook, second logbook, presentation during the faculty supervisor's visit, end-of-training evaluation, and the final report and final logbook, with both faculty and company supervisors involved.\n- Faculty supervisors are expected to monitor students progressively, review the first and second logbooks, conduct at least one company visit during Weeks 21 to 24, meet the company supervisor, assess the student's training and logbook, evaluate the final report and final logbook, coordinate the marks, and submit the evaluation forms through the career portal.\n- Industrial Training is graded through continuous assessment. The main components are the First Logbook (10%), Second Logbook (10%), presentation during the Faculty Supervisor's visit (20%), End of Training Evaluation by the Company Supervisor (40%), and the Final Report with Final Logbook (20%).\n\nSource chunk text:\nINTRODUCTION\nIndustrial Training is a training program that is compulsory for students of Bachelor of Computer\nScience from the Faculty of Computer Science and Information Technology (FCSIT), Universiti\nMalaya. The purpose of this training is to give exposure to students on the operations and real\nactivities in the workplace.\nThrough Industrial Training, students will be able to see how the concepts of Computer Science\nand Information Technology learnt in university can be practiced in development processes and\ndaily management of an organization. It will also increase and improve skills that are needed by\nstudents with the guidance of professionals from industry and University. In relation to that,\nIndustrial Training plays the role as the preparation point that allows a student to get involved in a\nprofession related to his or her field of study.\nThis\nguideline\ncan\nbe\nused\nas\na\nreference\nby\nIndustrial\nTraining\nCommittee,\norganizations/companies, Company Supervisors, Faculty Supervisors and students. It provides\n\nKeywords: able, activities, allows, also, assessment components, bachelor, can, committee, grading, industrial, industrial training, monitoring, site visits, supervisors, training, university, will"}
+{"kb_id": "RAGKB-0271", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00271", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 2", "pages": [270], "chunk_index": 2, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What professional skills or learning outcomes does industrial training aim to develop?", "Could you tell me what professional skills or learning outcomes does industrial training aim to develop?"], "matched_qa_ids": ["qa_000357", "qa_000950"], "grounded_answer_bank": ["Industrial Training is intended to develop practical workplace experience, technical ability, soft skills, professional readiness, and the ability to apply computer science knowledge in real organisational settings."], "retrieval_keywords": ["aim", "all", "always", "any", "carried", "communicating", "experience", "graduates", "industrial", "industrial training", "learning outcomes", "produce", "professional skills", "related", "training"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "guidelines related to the functions or roles that all parties involved in the Industrial Training should\nplay; the training scope required as well as the ways evaluations are carried out.\nDEFINITION OF INDUSTRIAL TRAINING\nIndustrial Training is the training undergone by students in any organization/company which\nprovides tasks related to the field of Computer Science for a determined period to obtain working\nexperience by practicing what was learnt in university.\nAIM OF INDUSTRIAL TRAINING\nThe aim of Industrial Training is to enable students to get experience in related\norganizations/companies in parallel with the faculty’s intention to produce graduates with skills\nand specializations to fulfil the country’s current needs.\nOBJECTIVES OF INDUSTRIAL TRAINING\n1.\n2.\n3.\n4.\nTo produce excellent graduates who are always open-minded, innovative, smart in\ncommunicating and competitive.\nTo expose students to the real situation of operation, development and management\nprocesses in the workplace.\nTo provide opportunities to students to participate as members in completing a task or", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What professional skills or learning outcomes does industrial training aim to develop?\n- Could you tell me what professional skills or learning outcomes does industrial training aim to develop?\n\nGrounded answer bank:\n- Industrial Training is intended to develop practical workplace experience, technical ability, soft skills, professional readiness, and the ability to apply computer science knowledge in real organisational settings.\n\nSource chunk text:\nguidelines related to the functions or roles that all parties involved in the Industrial Training should\nplay; the training scope required as well as the ways evaluations are carried out.\nDEFINITION OF INDUSTRIAL TRAINING\nIndustrial Training is the training undergone by students in any organization/company which\nprovides tasks related to the field of Computer Science for a determined period to obtain working\nexperience by practicing what was learnt in university.\nAIM OF INDUSTRIAL TRAINING\nThe aim of Industrial Training is to enable students to get experience in related\norganizations/companies in parallel with the faculty’s intention to produce graduates with skills\nand specializations to fulfil the country’s current needs.\nOBJECTIVES OF INDUSTRIAL TRAINING\n1.\n2.\n3.\n4.\nTo produce excellent graduates who are always open-minded, innovative, smart in\ncommunicating and competitive.\nTo expose students to the real situation of operation, development and management\nprocesses in the workplace.\nTo provide opportunities to students to participate as members in completing a task or\n\nKeywords: aim, all, always, any, carried, communicating, experience, graduates, industrial, industrial training, learning outcomes, produce, professional skills, related, training"}
+{"kb_id": "RAGKB-0272", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00272", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 3", "pages": [270], "chunk_index": 3, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["allow", "contribute", "development", "during", "experience", "exposure", "external", "faced", "get", "ideas", "industrial", "organizations"], "retrieval_tags": [], "source_text": "development project.\nTo provide experience to students in learning techniques to solve problems faced during work\nand to contribute innovative ideas to the organizations.\nTo allow students and University to get exposure to the latest systems and technologies used\nby the external organizations.\n- - - - - INDUSTRIAL TRAINING\nFACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY\nUNIVERSITI MALAYA", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\ndevelopment project.\nTo provide experience to students in learning techniques to solve problems faced during work\nand to contribute innovative ideas to the organizations.\nTo allow students and University to get exposure to the latest systems and technologies used\nby the external organizations.\n- - - - - INDUSTRIAL TRAINING\nFACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY\nUNIVERSITI MALAYA\n\nKeywords: allow, contribute, development, during, experience, exposure, external, faced, get, ideas, industrial, organizations"}
+{"kb_id": "RAGKB-0273", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00273", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 4", "pages": [270, 271], "chunk_index": 4, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["Could you explain how is the industrial training committee structured and what does it do?", "Can you tell me when do eligible students take industrial training and how long does it last?", "Ngl, when do eligible students take industrial training and how long does it last?"], "matched_qa_ids": ["qa_000557", "qa_000558", "qa_000559"], "grounded_answer_bank": ["The Industrial Training Committee is appointed by the Dean and consists of Industrial Training Coordinators from departments or units in the faculty. It plans, implements, and coordinates the programme, prepares guidelines, coordinates with CITrA, identifies eligible students, and manages related industrial training administration.", "Eligible students normally undergo Industrial Training in Semester 1 of Year 3 for 24 weeks, although the faculty may approve another semester in certain cases."], "retrieval_keywords": ["another", "appointed", "approve", "committee", "coordinate", "coordinator", "department", "duration", "industrial", "industrial training", "semester", "training", "undergo"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "IMPLEMENTATION\nIndustrial Training Committee\nThe Industrial Training Committee of FCSIT is appointed by the Dean for a given timeframe. It\nconsists of Industrial Training Coordinator from each department or unit in the faculty. A\nDepartment Industrial Training Coordinator is in-charge of the Industrial Training of the students of\nits department. The committee is led by the Head of Coordinator and is assisted by a support staff\nfor clerical matters.\nThe tasks of the Industrial Training Committee are:\nIndustrial Training Time and Duration\nThe eligible students must undergo their Industrial Training in Semester 1 ofYear 3, for a duration\nof 24 weeks.\nIn certain cases, the Faculty can approve students to undergo Industrial Training at another\nSemester instead of Semester 1 of Year 3.\n5.\n5.1\n5.2\nPlan, implement and coordinate Industrial Training programme.\nPrepare guidelines and related information.\nCoordinate Industrial Training programme at the Faculty with Centre for Integral Learning\n(CITrA), Universiti Malaya.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- Could you explain how is the industrial training committee structured and what does it do?\n- Can you tell me when do eligible students take industrial training and how long does it last?\n- Ngl, when do eligible students take industrial training and how long does it last?\n\nGrounded answer bank:\n- The Industrial Training Committee is appointed by the Dean and consists of Industrial Training Coordinators from departments or units in the faculty. It plans, implements, and coordinates the programme, prepares guidelines, coordinates with CITrA, identifies eligible students, and manages related industrial training administration.\n- Eligible students normally undergo Industrial Training in Semester 1 of Year 3 for 24 weeks, although the faculty may approve another semester in certain cases.\n\nSource chunk text:\nIMPLEMENTATION\nIndustrial Training Committee\nThe Industrial Training Committee of FCSIT is appointed by the Dean for a given timeframe. It\nconsists of Industrial Training Coordinator from each department or unit in the faculty. A\nDepartment Industrial Training Coordinator is in-charge of the Industrial Training of the students of\nits department. The committee is led by the Head of Coordinator and is assisted by a support staff\nfor clerical matters.\nThe tasks of the Industrial Training Committee are:\nIndustrial Training Time and Duration\nThe eligible students must undergo their Industrial Training in Semester 1 ofYear 3, for a duration\nof 24 weeks.\nIn certain cases, the Faculty can approve students to undergo Industrial Training at another\nSemester instead of Semester 1 of Year 3.\n5.\n5.1\n5.2\nPlan, implement and coordinate Industrial Training programme.\nPrepare guidelines and related information.\nCoordinate Industrial Training programme at the Faculty with Centre for Integral Learning\n(CITrA), Universiti Malaya.\n\nKeywords: another, appointed, approve, committee, coordinate, coordinator, department, duration, industrial, industrial training, semester, training, undergo"}
+{"kb_id": "RAGKB-0274", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00274", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 5", "pages": [271], "chunk_index": 5, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advertise", "application", "appoint", "citra", "during", "ensure", "form", "forthcoming", "identify", "industrial", "monitor", "training"], "retrieval_tags": [], "source_text": "Determine the scope of Industrial Training as a guideline for students and employers.\nIdentify forthcoming students for Industrial Training and ensure that they are registered.\nEnsure the Industrial Training regulations in the curriculum are conformed.\nGive briefing to the forthcoming Industrial Training students.\nIdentify organizations that are suitable for students’ placement.\nEnsure that students get the insurance application form, Industrial Training confirmation form,\nand other relevant documents from CITrA.\nAdvertise, promote and encourage students to attend preparatory workshop conducted by\nCITrA Send and monitor students at the organizations/companies during the Industrial\nTraining.\nAppoint lecturers from FCSIT as Faculty Supervisors to supervise each student undergoing\nIndustrial Training.\nMonitor the students’ welfare during Industrial Training.\nDevelop and update the evaluation method.\nCollect, check, coordinate and present the students’ Industrial Training results to the Deputy\nDean (Undergraduate).", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nDetermine the scope of Industrial Training as a guideline for students and employers.\nIdentify forthcoming students for Industrial Training and ensure that they are registered.\nEnsure the Industrial Training regulations in the curriculum are conformed.\nGive briefing to the forthcoming Industrial Training students.\nIdentify organizations that are suitable for students’ placement.\nEnsure that students get the insurance application form, Industrial Training confirmation form,\nand other relevant documents from CITrA.\nAdvertise, promote and encourage students to attend preparatory workshop conducted by\nCITrA Send and monitor students at the organizations/companies during the Industrial\nTraining.\nAppoint lecturers from FCSIT as Faculty Supervisors to supervise each student undergoing\nIndustrial Training.\nMonitor the students’ welfare during Industrial Training.\nDevelop and update the evaluation method.\nCollect, check, coordinate and present the students’ Industrial Training results to the Deputy\nDean (Undergraduate).\n\nKeywords: advertise, application, appoint, citra, during, ensure, form, forthcoming, identify, industrial, monitor, training"}
+{"kb_id": "RAGKB-0275", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00275", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 6", "pages": [271], "chunk_index": 6, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "achievements", "after", "continuously", "courses", "feedback", "future", "get", "graduates", "identify", "improve", "industrial"], "retrieval_tags": [], "source_text": "- - - - - - - - - - - - - - To provide opportunities for organizations and industry to train and identify the potential of\nfuture graduates of university.\nTo get feedback to continuously improve the quality of the courses offered by the faculty.\nTo motivate students to improve their academic achievements after undergoing Industrial\nTraining.\n- - -", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\n- - - - - - - - - - - - - - To provide opportunities for organizations and industry to train and identify the potential of\nfuture graduates of university.\nTo get feedback to continuously improve the quality of the courses offered by the faculty.\nTo motivate students to improve their academic achievements after undergoing Industrial\nTraining.\n- - -\n\nKeywords: academic, achievements, after, continuously, courses, feedback, future, get, graduates, identify, improve, industrial"}
+{"kb_id": "RAGKB-0276", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00276", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 7", "pages": [272], "chunk_index": 7, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "Could you tell me what requirements must companies or organisations satisfy to host industrial training students?", "Quick check: what requirements must companies or organisations satisfy to host industrial training students?"], "matched_qa_ids": ["qa_000092", "qa_000093", "qa_000561", "qa_000562"], "grounded_answer_bank": ["Host organisations or companies must be able to train students in practical aspects of computer science, provide suitable job scopes within the faculty's guidelines, and give students opportunities to strengthen both technical and soft skills.", "Students are expected to follow the approved placement process, attend the required briefing and preparatory workshops, keep regular logbooks, communicate with the faculty, submit required documents through the career portal, and complete the final report and related assigned tasks."], "retrieval_keywords": ["eligible", "industrial", "industrial training", "job", "must", "not", "offering", "organisations/companies", "organizations/companies", "provide", "requirements", "scope", "training"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "Student Requirements\nIndustrial Training is COMPULSORY for all Bachelor of Computer Science students who are listed\nas eligible. Eligible students:\nRequirements of Organisations/Companies\nAs the measure to ensure that organisations/companies offering Industrial Training provide\nsuitable training in the field of Computer Science, the Faculty has set some criteria that must be\nfulfilled by any of the interested organizations/companies, namely:\nTraining Scope\nOrganizations/companies offering Industrial Training to the students MUST be able to train them\nin the practical aspects of Computer Science. The suggested job scopes include, but not limited\nto:\nOther than that, organizations/companies have the responsibility to provide students with the\nopportunity to enhance their soft skills.\nStudents’ Responsibilities\n5.3\n- - - The organizations/companies MUST offer job specifications within the scope stated in\nSection 5.5. Jobs and tasks that focus only on sales, teaching, administration and the like,\nare NOT allowed.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- Could you tell me what requirements must companies or organisations satisfy to host industrial training students?\n- Quick check: what requirements must companies or organisations satisfy to host industrial training students?\n\nGrounded answer bank:\n- Host organisations or companies must be able to train students in practical aspects of computer science, provide suitable job scopes within the faculty's guidelines, and give students opportunities to strengthen both technical and soft skills.\n- Students are expected to follow the approved placement process, attend the required briefing and preparatory workshops, keep regular logbooks, communicate with the faculty, submit required documents through the career portal, and complete the final report and related assigned tasks.\n\nSource chunk text:\nStudent Requirements\nIndustrial Training is COMPULSORY for all Bachelor of Computer Science students who are listed\nas eligible. Eligible students:\nRequirements of Organisations/Companies\nAs the measure to ensure that organisations/companies offering Industrial Training provide\nsuitable training in the field of Computer Science, the Faculty has set some criteria that must be\nfulfilled by any of the interested organizations/companies, namely:\nTraining Scope\nOrganizations/companies offering Industrial Training to the students MUST be able to train them\nin the practical aspects of Computer Science. The suggested job scopes include, but not limited\nto:\nOther than that, organizations/companies have the responsibility to provide students with the\nopportunity to enhance their soft skills.\nStudents’ Responsibilities\n5.3\n- - - The organizations/companies MUST offer job specifications within the scope stated in\nSection 5.5. Jobs and tasks that focus only on sales, teaching, administration and the like,\nare NOT allowed.\n\nKeywords: eligible, industrial, industrial training, job, must, not, offering, organisations/companies, organizations/companies, provide, requirements, scope, training"}
+{"kb_id": "RAGKB-0277", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00277", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 8", "pages": [272], "chunk_index": 8, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["access", "allowances", "allowed", "analysis", "companies", "development", "experience", "not", "offer", "office", "organizations/companies", "system"], "retrieval_tags": [], "source_text": "The organizations/companies MUST offer formal working hours and office environment only.\nTeleworking, virtual office and so on, are NOT allowed unless being specifically specified in\nthe offer letter (for example remote internship). Students are allowed to work on night shift if it\nis the instruction from the companies and it follows the companies’ safety guidelines for\nworkers.\nIt is NOT compulsory for the organizations/companies to provide allowances or honorarium to\nthe students but are highly encouraged to do so to help students in coping with living\nexpenses.\nBecome a member of a system development project: conduct feasibility study, analysis,\ndesign, implementation, maintenance and evaluation.\nFormulate problem solution and programming in information management system\ndevelopment, web access, computer network control, and research and development.\nHands-on experience in developing, testing, and deploying AI models, understanding ethical\nAI practices\nPractical experience in data analysis, visualization, and interpretation, proficiency in using", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nThe organizations/companies MUST offer formal working hours and office environment only.\nTeleworking, virtual office and so on, are NOT allowed unless being specifically specified in\nthe offer letter (for example remote internship). Students are allowed to work on night shift if it\nis the instruction from the companies and it follows the companies’ safety guidelines for\nworkers.\nIt is NOT compulsory for the organizations/companies to provide allowances or honorarium to\nthe students but are highly encouraged to do so to help students in coping with living\nexpenses.\nBecome a member of a system development project: conduct feasibility study, analysis,\ndesign, implementation, maintenance and evaluation.\nFormulate problem solution and programming in information management system\ndevelopment, web access, computer network control, and research and development.\nHands-on experience in developing, testing, and deploying AI models, understanding ethical\nAI practices\nPractical experience in data analysis, visualization, and interpretation, proficiency in using\n\nKeywords: access, allowances, allowed, analysis, companies, development, experience, not, offer, office, organizations/companies, system"}
+{"kb_id": "RAGKB-0278", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00278", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 9", "pages": [272, 273], "chunk_index": 9, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["Could you tell me what academic status or credit conditions must students satisfy before starting industrial training?", "Quick one: what academic status or credit conditions must students satisfy before starting industrial training?"], "matched_qa_ids": ["qa_000933", "qa_000934"], "grounded_answer_bank": ["Before starting Industrial Training, students must have taken all Faculty Core and Programme Core courses except Academic Project I and Academic Project II, and they must not register Industrial Training together with any other course in the same semester."], "retrieval_keywords": ["academic", "before", "courses", "credit conditions", "design", "eligibility", "experience", "industrial", "industrial training", "must", "one", "placement", "project", "semester", "training"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "data science tools and programming languages.\nHands-on experience in system design, implementation, and troubleshooting, familiarity with\nhardware and software integration, exposure to network management, cybersecurity\npractices.\nPractical experience in digital content creation, graphic design, video production, and\ninteractive media development.\nMust have taken all Faculty and Programme Core Courses (except Academic Project I and\nAcademic Project II).\nMust not register Industrial Training together with any other courses in one semester.\n- - - - - - Identify and apply directly to suitable organizations/companies for Industrial Training\nplacement one semester before the Industrial Training Programme for local placement, and\nat least two semesters before the Industrial Training Programme for abroad placement. Refer\nto Section 5.7.\n- - - 5.4\n5.5\n5.6", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- Could you tell me what academic status or credit conditions must students satisfy before starting industrial training?\n- Quick one: what academic status or credit conditions must students satisfy before starting industrial training?\n\nGrounded answer bank:\n- Before starting Industrial Training, students must have taken all Faculty Core and Programme Core courses except Academic Project I and Academic Project II, and they must not register Industrial Training together with any other course in the same semester.\n\nSource chunk text:\ndata science tools and programming languages.\nHands-on experience in system design, implementation, and troubleshooting, familiarity with\nhardware and software integration, exposure to network management, cybersecurity\npractices.\nPractical experience in digital content creation, graphic design, video production, and\ninteractive media development.\nMust have taken all Faculty and Programme Core Courses (except Academic Project I and\nAcademic Project II).\nMust not register Industrial Training together with any other courses in one semester.\n- - - - - - Identify and apply directly to suitable organizations/companies for Industrial Training\nplacement one semester before the Industrial Training Programme for local placement, and\nat least two semesters before the Industrial Training Programme for abroad placement. Refer\nto Section 5.7.\n- - - 5.4\n5.5\n5.6\n\nKeywords: academic, before, courses, credit conditions, design, eligibility, experience, industrial, industrial training, must, one, placement, project, semester, training"}
+{"kb_id": "RAGKB-0279", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00279", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 10", "pages": [273], "chunk_index": 10, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["Which students are eligible or required to undergo industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "Could you tell me which students are eligible or required to undergo industrial training?"], "matched_qa_ids": ["qa_000091", "qa_000350", "qa_000560"], "grounded_answer_bank": ["Industrial Training is compulsory for eligible Bachelor of Computer Science students as specified by the faculty.", "Before training begins, students must attend the required briefing and preparatory workshops, choose one placement, obtain an offer letter that states the training dates, general tasks, and department placement, email that offer letter to the Industrial Training Department Coordinator for approval, and register the internship placement in Maya and the career portal with the required documents."], "retrieval_keywords": ["accept", "advice", "attend", "before", "coordinator", "get", "industrial", "industrial training", "not", "organization/company", "place", "placement approval", "training", "undergo", "verification"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "- - - - - - - - - - - - - - - - - - - - - - - Should not undergo Industrial Training in an organization/company where there might be\nconflict of interests, such as, in an organization/company owned by one's own family or\nrelative, organization/company where the student has worked before or is currently working,\nand so on.\nFCSIT students are not allowed to undergo Industrial Training in Universiti Malaya including\nspin-off companies, except for certain cases which are approved.\nGet the advice from the Industrial Training Coordinator if unsure of the suitability of an\norganization/company.\nInform the Industrial Training Coordinator if unable to get a placement for Industrial Training\nand ready to accept a training place decided by the Industrial Training Coordinator.\nAttend a briefing related to Industrial Training.\nRequired to attend a total of 4 hours preparatory workshops organized by CITrA and/or the\nfaculty, before Industrial Training.\nChoose only ONE place for Industrial Training.\nEmail offer letter to Industrial Training Department Coordinator to get approval for the", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- Which students are eligible or required to undergo industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- Could you tell me which students are eligible or required to undergo industrial training?\n\nGrounded answer bank:\n- Industrial Training is compulsory for eligible Bachelor of Computer Science students as specified by the faculty.\n- Before training begins, students must attend the required briefing and preparatory workshops, choose one placement, obtain an offer letter that states the training dates, general tasks, and department placement, email that offer letter to the Industrial Training Department Coordinator for approval, and register the internship placement in Maya and the career portal with the required documents.\n\nSource chunk text:\n- - - - - - - - - - - - - - - - - - - - - - - Should not undergo Industrial Training in an organization/company where there might be\nconflict of interests, such as, in an organization/company owned by one's own family or\nrelative, organization/company where the student has worked before or is currently working,\nand so on.\nFCSIT students are not allowed to undergo Industrial Training in Universiti Malaya including\nspin-off companies, except for certain cases which are approved.\nGet the advice from the Industrial Training Coordinator if unsure of the suitability of an\norganization/company.\nInform the Industrial Training Coordinator if unable to get a placement for Industrial Training\nand ready to accept a training place decided by the Industrial Training Coordinator.\nAttend a briefing related to Industrial Training.\nRequired to attend a total of 4 hours preparatory workshops organized by CITrA and/or the\nfaculty, before Industrial Training.\nChoose only ONE place for Industrial Training.\nEmail offer letter to Industrial Training Department Coordinator to get approval for the\n\nKeywords: accept, advice, attend, before, coordinator, get, industrial, industrial training, not, organization/company, place, placement approval, training, undergo, verification"}
+{"kb_id": "RAGKB-0280", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00280", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 11", "pages": [272, 273], "chunk_index": 11, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What academic status or credit conditions must students satisfy before starting industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "Could you tell me what responsibilities do students have during industrial training?", "Could you tell me what attendance, discipline, or professional conduct rules apply during industrial training?", "Could you explain how are placements approved or verified by the faculty before industrial training begins?", "Quick check: how are placements approved or verified by the faculty before industrial training begins?", "Could you tell me what happens if a student fails, withdraws from, or does not complete industrial training successfully?"], "matched_qa_ids": ["qa_000346", "qa_000355", "qa_000563", "qa_000935", "qa_000939", "qa_000940", "qa_000947"], "grounded_answer_bank": ["Before starting Industrial Training, students must have taken all Faculty Core and Programme Core courses except Academic Project I and Academic Project II, and they must not register Industrial Training together with any other course in the same semester.", "A student who does not complete at least 24 weeks of Industrial Training does not fulfil the programme requirement and will fail Industrial Training. The handbook also states that students need faculty permission to withdraw or change placement, and failure to complete required duties such as arranging the supervisor visit can also result in failure.", "Students are expected to follow the approved placement process, attend the required briefing and preparatory workshops, keep regular logbooks, communicate with the faculty, submit required documents through the career portal, and complete the final report and related assigned tasks.", "The handbook expects students to follow professional workplace conduct, comply with the approved placement and reporting process, maintain regular communication, and complete the required industrial training tasks responsibly.", "Before training begins, students must attend the required briefing and preparatory workshops, choose one placement, obtain an offer letter that states the training dates, general tasks, and department placement, email that offer letter to the Industrial Training Department Coordinator for approval, and register the internship placement in Maya and the career portal with the required documents."], "retrieval_keywords": ["accepted", "assigned", "attendance", "completion", "conduct", "credit conditions", "department", "discipline", "eligibility", "fail", "industrial", "industrial training", "letter", "not", "offer", "placement", "placement approval", "tasks", "training", "verification", "weeks", "will", "withdraw"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "placement before starting the training. The offer letter must state the start and end dates of\nthe Industrial Training of the student, the tasks in general that will be assigned to the student\nduring the training, and the department where the student will be placed. Without this\ninformation the placement will not be approved by the Industrial Training Department\nCoordinator.\nThe student is responsible to make sure that the duration of the student’s Industrial Training\nis at least 24 weeks. If less than 24 weeks, the student does not fulfil the requirement of the\nIndustrial Training programme and will fail his or her Industrial Training.\nRegister the internship placement in Maya and the career portal and submit all the required\ndocuments including the offer letter.\nGet written permission from the Faculty to withdraw from the Industrial Training programme\nor to change the location of placement or to reject an offer accepted previously.\nFollow the training requirements.\nCarry out the tasks and the responsibilities assigned by the organization/company under the", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- Could you tell me what responsibilities do students have during industrial training?\n- Could you tell me what attendance, discipline, or professional conduct rules apply during industrial training?\n- Could you explain how are placements approved or verified by the faculty before industrial training begins?\n- Quick check: how are placements approved or verified by the faculty before industrial training begins?\n- Could you tell me what happens if a student fails, withdraws from, or does not complete industrial training successfully?\n\nGrounded answer bank:\n- Before starting Industrial Training, students must have taken all Faculty Core and Programme Core courses except Academic Project I and Academic Project II, and they must not register Industrial Training together with any other course in the same semester.\n- A student who does not complete at least 24 weeks of Industrial Training does not fulfil the programme requirement and will fail Industrial Training. The handbook also states that students need faculty permission to withdraw or change placement, and failure to complete required duties such as arranging the supervisor visit can also result in failure.\n- Students are expected to follow the approved placement process, attend the required briefing and preparatory workshops, keep regular logbooks, communicate with the faculty, submit required documents through the career portal, and complete the final report and related assigned tasks.\n- The handbook expects students to follow professional workplace conduct, comply with the approved placement and reporting process, maintain regular communication, and complete the required industrial training tasks responsibly.\n- Before training begins, students must attend the required briefing and preparatory workshops, choose one placement, obtain an offer letter that states the training dates, general tasks, and department placement, email that offer letter to the Industrial Training Department Coordinator for approval, and register the internship placement in Maya and the career portal with the required documents.\n\nSource chunk text:\nplacement before starting the training. The offer letter must state the start and end dates of\nthe Industrial Training of the student, the tasks in general that will be assigned to the student\nduring the training, and the department where the student will be placed. Without this\ninformation the placement will not be approved by the Industrial Training Department\nCoordinator.\nThe student is responsible to make sure that the duration of the student’s Industrial Training\nis at least 24 weeks. If less than 24 weeks, the student does not fulfil the requirement of the\nIndustrial Training programme and will fail his or her Industrial Training.\nRegister the internship placement in Maya and the career portal and submit all the required\ndocuments including the offer letter.\nGet written permission from the Faculty to withdraw from the Industrial Training programme\nor to change the location of placement or to reject an offer accepted previously.\nFollow the training requirements.\nCarry out the tasks and the responsibilities assigned by the organization/company under the\n\nKeywords: accepted, assigned, attendance, completion, conduct, credit conditions, department, discipline, eligibility, fail, industrial, industrial training, letter, not, offer, placement, placement approval, tasks, training, verification, weeks, will, withdraw"}
+{"kb_id": "RAGKB-0281", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00281", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 12", "pages": [273], "chunk_index": 12, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What responsibilities do faculty supervisors have during industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "Could you tell me what responsibilities do faculty supervisors have during industrial training?", "Low-key, what responsibilities do faculty supervisors have during industrial training?"], "matched_qa_ids": ["qa_000096", "qa_000347", "qa_000567", "qa_000568"], "grounded_answer_bank": ["Faculty supervisors are responsible for monitoring the student's training progress, reviewing logbooks, carrying out the company visit, evaluating the student through the prescribed forms, and assessing the final report and final logbook.", "The handbook expects students to follow professional workplace conduct, comply with the approved placement and reporting process, maintain regular communication, and complete the required industrial training tasks responsibly."], "retrieval_keywords": ["all", "attendance", "conduct", "contact", "discipline", "her", "his", "industrial", "industrial training", "organization/company", "out", "rules", "supervisor", "tasks", "training", "university"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "supervision of one or more Company Supervisors.\nAdhere to all the rules and regulations of organization/company as long as not contradicting\nwith the rules of the University.\nAlways be positive and give the best contribution in carrying out the tasks given.\nCarry out Industrial Training in an ethical and professional manner and uphold the good\nname of the University at all times.\nContact and inform Industrial Training Coordinator/Faculty Supervisor immediately if facing\nany problem.\nRecord all activities that have been carried out in Logbooks and submit to the Faculty\nSupervisor via the career portal following the schedule in Section 5.8.\nWrite the Industrial Training Final Report and conduct other tasks assigned.\nContact the appointed Faculty Supervisor to arrange for the supervisor to visit the student at\nthe organization/company where the student is undergoing his or her Industrial Training. A\nstudent who fails to do so before the end of his or her Industrial Training will fail Industrial\nTraining.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What responsibilities do faculty supervisors have during industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- Could you tell me what responsibilities do faculty supervisors have during industrial training?\n- Low-key, what responsibilities do faculty supervisors have during industrial training?\n\nGrounded answer bank:\n- Faculty supervisors are responsible for monitoring the student's training progress, reviewing logbooks, carrying out the company visit, evaluating the student through the prescribed forms, and assessing the final report and final logbook.\n- The handbook expects students to follow professional workplace conduct, comply with the approved placement and reporting process, maintain regular communication, and complete the required industrial training tasks responsibly.\n\nSource chunk text:\nsupervision of one or more Company Supervisors.\nAdhere to all the rules and regulations of organization/company as long as not contradicting\nwith the rules of the University.\nAlways be positive and give the best contribution in carrying out the tasks given.\nCarry out Industrial Training in an ethical and professional manner and uphold the good\nname of the University at all times.\nContact and inform Industrial Training Coordinator/Faculty Supervisor immediately if facing\nany problem.\nRecord all activities that have been carried out in Logbooks and submit to the Faculty\nSupervisor via the career portal following the schedule in Section 5.8.\nWrite the Industrial Training Final Report and conduct other tasks assigned.\nContact the appointed Faculty Supervisor to arrange for the supervisor to visit the student at\nthe organization/company where the student is undergoing his or her Industrial Training. A\nstudent who fails to do so before the end of his or her Industrial Training will fail Industrial\nTraining.\n\nKeywords: all, attendance, conduct, contact, discipline, her, his, industrial, industrial training, organization/company, out, rules, supervisor, tasks, training, university"}
+{"kb_id": "RAGKB-0282", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00282", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 13", "pages": [273], "chunk_index": 13, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["adhere", "been", "checked", "citra", "conduct", "demonstrate", "devices", "during", "have", "supervisor", "training", "visit"], "retrieval_tags": [], "source_text": "Be present at the training place during the Faculty Supervisor’s visit and conduct a\npresentation and demonstrate devices or systems that have been used or learnt.\nShow the Logbook to be checked by the Faculty Supervisor during the supervisor’s visit.\nAdhere to the Industrial Training rules and regulations set by the Faculty, CITrA, and the\nUniversity.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nBe present at the training place during the Faculty Supervisor’s visit and conduct a\npresentation and demonstrate devices or systems that have been used or learnt.\nShow the Logbook to be checked by the Faculty Supervisor during the supervisor’s visit.\nAdhere to the Industrial Training rules and regulations set by the Faculty, CITrA, and the\nUniversity.\n\nKeywords: adhere, been, checked, citra, conduct, demonstrate, devices, during, have, supervisor, training, visit"}
+{"kb_id": "RAGKB-0283", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00283", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 14", "pages": [274], "chunk_index": 14, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What leave, absence, or emergency procedures are described during industrial training?", "Could you tell me what leave, absence, or emergency procedures are described during industrial training?"], "matched_qa_ids": ["qa_000349", "qa_000938"], "grounded_answer_bank": ["Leave taken during Industrial Training usually has to be replaced unless the company states that replacement is not possible. Approved sick leave does not need to be replaced, but the medical certificate and the company supervisor's approval must be included in the logbook."], "retrieval_keywords": ["absence", "approved", "emergency", "has", "include", "industrial", "industrial training", "leave", "letter", "logbook", "organization/company", "replaced", "sick", "training", "website"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "- - aa)\nLeave taken during Industrial Training has to be replaced (even though it is the student’s\nentitlement, and the organization/company has approved it) unless the student obtains a\nletter from the organization/company which states that it is unable to let the student to\nreplace the leave. Include this letter in the Final Logbook. Sick leave which has been\napproved by the organization/company does not need to be replaced. Include the medical\ncertificate and Company Supervisor's approval on the sick leave in the Logbook.\nAlways visit CITrA website and Industrial Training website of the Faculty to get the latest\ninformation.\nPerform the required actions following the schedule in Section 5.8.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What leave, absence, or emergency procedures are described during industrial training?\n- Could you tell me what leave, absence, or emergency procedures are described during industrial training?\n\nGrounded answer bank:\n- Leave taken during Industrial Training usually has to be replaced unless the company states that replacement is not possible. Approved sick leave does not need to be replaced, but the medical certificate and the company supervisor's approval must be included in the logbook.\n\nSource chunk text:\n- - aa)\nLeave taken during Industrial Training has to be replaced (even though it is the student’s\nentitlement, and the organization/company has approved it) unless the student obtains a\nletter from the organization/company which states that it is unable to let the student to\nreplace the leave. Include this letter in the Final Logbook. Sick leave which has been\napproved by the organization/company does not need to be replaced. Include the medical\ncertificate and Company Supervisor's approval on the sick leave in the Logbook.\nAlways visit CITrA website and Industrial Training website of the Faculty to get the latest\ninformation.\nPerform the required actions following the schedule in Section 5.8.\n\nKeywords: absence, approved, emergency, has, include, industrial, industrial training, leave, letter, logbook, organization/company, replaced, sick, training, website"}
+{"kb_id": "RAGKB-0284", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00284", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 15", "pages": [275], "chunk_index": 15, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "advsor", "approval", "coordinator", "intemship", "internship", "maya", "organization", "placement", "ror", "seek", "yes"], "retrieval_tags": [], "source_text": "5.7 Flow Chart for Applying Industrial Training Placement\nStart\nGRE TNT\n‘rieting and\npreparatory\nworkshops.\nApply to organization\nSearch for intemship\nby sending resume Je\n‘and referral letter ‘organization\nBeing\noftered\na place?\nObtain otter teter Overseas\nrom the organization Internship? No\nYes\nDiscussion wih company he\n‘supervisor and department\n‘covedinator about suitably\n‘ofthe intemship placement\ncountry?\nSeek approval ror\n|coordinator about the\ninternship placement\nYes Yes\n¥ ¥\n[Seek assistance trom\nSipctiatlnstertnd ‘academic advsor for\nplacement in Maya TRAN COSA Ten.\nY Y\n‘Sox approval ror\nSua rip to\npaced te. anya coer\n[FSKTM career poral ens postpone\n\"7\nInform depariment\ncoordinator for\nntemship placement\n‘approvalin Maya\nMaya couse\nregistration\na\nEnd +———", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 15\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\n5.7 Flow Chart for Applying Industrial Training Placement\nStart\nGRE TNT\n‘rieting and\npreparatory\nworkshops.\nApply to organization\nSearch for intemship\nby sending resume Je\n‘and referral letter ‘organization\nBeing\noftered\na place?\nObtain otter teter Overseas\nrom the organization Internship? No\nYes\nDiscussion wih company he\n‘supervisor and department\n‘covedinator about suitably\n‘ofthe intemship placement\ncountry?\nSeek approval ror\n|coordinator about the\ninternship placement\nYes Yes\n¥ ¥\n[Seek assistance trom\nSipctiatlnstertnd ‘academic advsor for\nplacement in Maya TRAN COSA Ten.\nY Y\n‘Sox approval ror\nSua rip to\npaced te. anya coer\n[FSKTM career poral ens postpone\n\"7\nInform depariment\ncoordinator for\nntemship placement\n‘approvalin Maya\nMaya couse\nregistration\na\nEnd +———\n\nKeywords: academic, advsor, approval, coordinator, intemship, internship, maya, organization, placement, ror, seek, yes"}
+{"kb_id": "RAGKB-0285", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00285", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 16", "pages": [276], "chunk_index": 16, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["above", "during", "industrial", "not", "note", "refers", "schedule", "semester", "tables", "training", "week"], "retrieval_tags": [], "source_text": "5.8 Students’ Schedule\n5.8.1 During Industrial Training\nNote: The week in the tables above refers to the week of a student’s Industrial Training\nand not the week of the semester.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 16\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\n5.8 Students’ Schedule\n5.8.1 During Industrial Training\nNote: The week in the tables above refers to the week of a student’s Industrial Training\nand not the week of the semester.\n\nKeywords: above, during, industrial, not, note, refers, schedule, semester, tables, training, week"}
+{"kb_id": "RAGKB-0286", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00286", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 17", "pages": [277], "chunk_index": 17, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["after", "assess", "career", "comprising", "evaluation", "final", "form", "logbook", "portal", "receive", "report", "week"], "retrieval_tags": [], "source_text": "5.9\n5.10 Faculty Supervisors’ Schedule\nWeek\nTasks\n1. Receive letter of appointment of supervision from TDID office.\n2. Receive Plan of Tasks in the career portal.\nReceive First Logbook (comprising Week 1 to 8) from the student\nin the career portal.\nAssess the First Logbook using Evaluation Form 1A (10%) in the\ncareer portal.\nReceive Second Logbook (comprising Week 9 to 16) from the\nstudent in the career portal.\nAssess the Second Logbook using Evaluation Form 1A (10%) in\nthe career portal.\nVisit the student at the respective company and assess the student\nincluding the Logbook by using Evaluation Form 1B (20%) in the\ncareer portal. The marks given for Evaluation Form 1B can be\nfinalized after returning from the visit and the marks should not be\nreleased to the student or organisation/company.\nReceive Final Report and Final Logbook in the career portal.\nAssess the Final Report and Final Logbook of each student\nassigned by using Evaluation Form 1C (20%) in the career portal.\nFaculty Supervisors’ Responsibilities\n10 - 11\n18 - 19\n21 - 24\nWithin two\nweeks after\nsubmission of\nFinal Report.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 17\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\n5.9\n5.10 Faculty Supervisors’ Schedule\nWeek\nTasks\n1. Receive letter of appointment of supervision from TDID office.\n2. Receive Plan of Tasks in the career portal.\nReceive First Logbook (comprising Week 1 to 8) from the student\nin the career portal.\nAssess the First Logbook using Evaluation Form 1A (10%) in the\ncareer portal.\nReceive Second Logbook (comprising Week 9 to 16) from the\nstudent in the career portal.\nAssess the Second Logbook using Evaluation Form 1A (10%) in\nthe career portal.\nVisit the student at the respective company and assess the student\nincluding the Logbook by using Evaluation Form 1B (20%) in the\ncareer portal. The marks given for Evaluation Form 1B can be\nfinalized after returning from the visit and the marks should not be\nreleased to the student or organisation/company.\nReceive Final Report and Final Logbook in the career portal.\nAssess the Final Report and Final Logbook of each student\nassigned by using Evaluation Form 1C (20%) in the career portal.\nFaculty Supervisors’ Responsibilities\n10 - 11\n18 - 19\n21 - 24\nWithin two\nweeks after\nsubmission of\nFinal Report.\n\nKeywords: after, assess, career, comprising, evaluation, final, form, logbook, portal, receive, report, week"}
+{"kb_id": "RAGKB-0287", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00287", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 18", "pages": [277], "chunk_index": 18, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "company", "evaluate", "evaluation", "following", "forms", "industrial", "schedule", "section", "supervisor", "training", "week"], "retrieval_tags": [], "source_text": "Note:\n1.\nEnsure that students undergo the Industrial Training in-line with the objectives\nestablished.\nAssist in solving students’ problems related to the field of work.\nArrange for at least one visit to the organisation/company within Week 21 to 24 of the\nstudent’s training.\nVisit the company to give advice to the student, meet the Company Supervisor, assess\nthe suitability of the company for students, and evaluate the student.\nEvaluate the student progressively following the schedule in Section 5.10.\nInform about the company supervisor evaluation to the Company Supervisor.\nCoordinate the marking and submit the marks and all the evaluation forms to the\nIndustrial Training support staff.\nProvide suggestions to improve future Industrial Training program.\nPerform the required things following the schedule in Section 5.10.\nThe week in the table above refers to the week of a student’s Industrial Training\nand not the week of the semester.\nAll the evaluation forms are accessible in the career portal of FCSIT.\n2.\n- - - - - - - - -", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 18\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nNote:\n1.\nEnsure that students undergo the Industrial Training in-line with the objectives\nestablished.\nAssist in solving students’ problems related to the field of work.\nArrange for at least one visit to the organisation/company within Week 21 to 24 of the\nstudent’s training.\nVisit the company to give advice to the student, meet the Company Supervisor, assess\nthe suitability of the company for students, and evaluate the student.\nEvaluate the student progressively following the schedule in Section 5.10.\nInform about the company supervisor evaluation to the Company Supervisor.\nCoordinate the marking and submit the marks and all the evaluation forms to the\nIndustrial Training support staff.\nProvide suggestions to improve future Industrial Training program.\nPerform the required things following the schedule in Section 5.10.\nThe week in the table above refers to the week of a student’s Industrial Training\nand not the week of the semester.\nAll the evaluation forms are accessible in the career portal of FCSIT.\n2.\n- - - - - - - - -\n\nKeywords: all, company, evaluate, evaluation, following, forms, industrial, schedule, section, supervisor, training, week"}
+{"kb_id": "RAGKB-0288", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00288", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 19", "pages": [278], "chunk_index": 19, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What schedule must students follow during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "Could you tell me what schedule must students follow during industrial training?", "Could you tell me what responsibilities do organisation or company supervisors have during industrial training?", "Could you tell me what communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "Could you tell me what feedback or evaluation responsibilities are assigned to company supervisors?"], "matched_qa_ids": ["qa_000095", "qa_000097", "qa_000351", "qa_000353", "qa_000566", "qa_000569", "qa_000941", "qa_000944"], "grounded_answer_bank": ["A week-by-week schedule for students during Industrial Training, including placement approval, logbook submission, faculty supervision checkpoints, and final report submission.", "Company supervisors are responsible for guiding the student at the workplace, verifying weekly logbooks, coordinating with the faculty supervisor, assessing the student's performance through the required evaluation form, and supporting the final verification process.", "Communication is expected among all parties throughout Industrial Training. Company supervisors approve applications and issue offer letters through the career portal, students must inform the Industrial Training Coordinator or Faculty Supervisor immediately if problems arise, and students must coordinate with the appointed Faculty Supervisor to arrange the site visit and related follow-up.", "Company supervisors are expected to supervise the student throughout the training period, verify the student's logbook regularly, issue the offer letter with the required placement details, inform the faculty of any problems, complete the end-of-training evaluation in the career portal, verify the authenticity of the Final Report and Final Logbook, and complete the Industrial Training survey."], "retrieval_keywords": ["accept", "applications", "career", "communication", "company supervisors", "evaluation", "industrial", "industrial training", "logbook", "offer", "organisation/company", "portal", "supervisors", "training", "week", "will", "you"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "5.11 Organisation/Company’s Responsibilities\n5.13 Organisation/Company Supervisors’ Schedule Tasks\nWeek\nBefore\nIndustrial\nTraining\n5.12 Organisation/Company Supervisors’ Responsibilities\n1 - 2\n1 - 8\nVerify the student’s Logbook on a weekly basis. The student has\nto submit First Logbook (comprising Week 1 to 8) to the Faculty\nSupervisor in the career portal by Week 9.\n1.If your organisation/company had been registered with a career\nportal, watch out for emails from the system on students’\napplications to undergo Industrial Training at your organisation\nand approve those applications that you want to accept.\n2.Issue offer letters to students you want to accept. The offer\nletter must state the start and end dates of the Industrial\nTraining of the student, the tasks in general that will be\nassigned to the student during the training, and the department\nthe student will be placed. Without this information the\nplacement will not be approved by the faculty.\nSign Confirmation Form passed to you by the student.\nRefer to the career portal of FCSIT or the student, to get the", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 19\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What schedule must students follow during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- Could you tell me what schedule must students follow during industrial training?\n- Could you tell me what responsibilities do organisation or company supervisors have during industrial training?\n- Could you tell me what communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- Could you tell me what feedback or evaluation responsibilities are assigned to company supervisors?\n\nGrounded answer bank:\n- A week-by-week schedule for students during Industrial Training, including placement approval, logbook submission, faculty supervision checkpoints, and final report submission.\n- Company supervisors are responsible for guiding the student at the workplace, verifying weekly logbooks, coordinating with the faculty supervisor, assessing the student's performance through the required evaluation form, and supporting the final verification process.\n- Communication is expected among all parties throughout Industrial Training. Company supervisors approve applications and issue offer letters through the career portal, students must inform the Industrial Training Coordinator or Faculty Supervisor immediately if problems arise, and students must coordinate with the appointed Faculty Supervisor to arrange the site visit and related follow-up.\n- Company supervisors are expected to supervise the student throughout the training period, verify the student's logbook regularly, issue the offer letter with the required placement details, inform the faculty of any problems, complete the end-of-training evaluation in the career portal, verify the authenticity of the Final Report and Final Logbook, and complete the Industrial Training survey.\n\nSource chunk text:\n5.11 Organisation/Company’s Responsibilities\n5.13 Organisation/Company Supervisors’ Schedule Tasks\nWeek\nBefore\nIndustrial\nTraining\n5.12 Organisation/Company Supervisors’ Responsibilities\n1 - 2\n1 - 8\nVerify the student’s Logbook on a weekly basis. The student has\nto submit First Logbook (comprising Week 1 to 8) to the Faculty\nSupervisor in the career portal by Week 9.\n1.If your organisation/company had been registered with a career\nportal, watch out for emails from the system on students’\napplications to undergo Industrial Training at your organisation\nand approve those applications that you want to accept.\n2.Issue offer letters to students you want to accept. The offer\nletter must state the start and end dates of the Industrial\nTraining of the student, the tasks in general that will be\nassigned to the student during the training, and the department\nthe student will be placed. Without this information the\nplacement will not be approved by the faculty.\nSign Confirmation Form passed to you by the student.\nRefer to the career portal of FCSIT or the student, to get the\n\nKeywords: accept, applications, career, communication, company supervisors, evaluation, industrial, industrial training, logbook, offer, organisation/company, portal, supervisors, training, week, will, you"}
+{"kb_id": "RAGKB-0289", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00289", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 20", "pages": [278], "chunk_index": 20, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assigned", "duration", "email", "following", "industrial", "name", "not", "supervisor", "tasks", "training", "weeks", "will"], "retrieval_tags": [], "source_text": "template for the Plan of Tasks, the name and email of the\nsupervisor from the faculty that has been assigned to the student,\nand the name and email of the Industrial Training support staff.\n- Supervise the student for the whole duration of the Industrial Training.\n- Perform the required things following the schedule in Section 5.13.\n- Inform the Industrial Training Coordinator/Faculty Supervisor of any problem or issue\nin relation to Industrial Training.\nTasks\nIdentify the number of students needed, specialisation, and job specification.\nState the following information in the offer letter for the student: the start and end dates of\nthe Industrial Training of the student, the tasks in general that will be assigned to the\nstudent during the training, and the department the student will be placed. Without this\ninformation the placement will not be approved by the faculty.\nThe duration of Industrial Training for FCSIT students is 24 weeks. If less than 24 weeks,\nthe student does not fulfil the requirement of the Industrial Training programme and will fail\nhis or her Industrial Training.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 20\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\ntemplate for the Plan of Tasks, the name and email of the\nsupervisor from the faculty that has been assigned to the student,\nand the name and email of the Industrial Training support staff.\n- Supervise the student for the whole duration of the Industrial Training.\n- Perform the required things following the schedule in Section 5.13.\n- Inform the Industrial Training Coordinator/Faculty Supervisor of any problem or issue\nin relation to Industrial Training.\nTasks\nIdentify the number of students needed, specialisation, and job specification.\nState the following information in the offer letter for the student: the start and end dates of\nthe Industrial Training of the student, the tasks in general that will be assigned to the\nstudent during the training, and the department the student will be placed. Without this\ninformation the placement will not be approved by the faculty.\nThe duration of Industrial Training for FCSIT students is 24 weeks. If less than 24 weeks,\nthe student does not fulfil the requirement of the Industrial Training programme and will fail\nhis or her Industrial Training.\n\nKeywords: assigned, duration, email, following, industrial, name, not, supervisor, tasks, training, weeks, will"}
+{"kb_id": "RAGKB-0290", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00290", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 21", "pages": [278], "chunk_index": 21, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accordance", "allowance", "appoint", "appropriate", "given", "giving", "honorarium", "industrial", "not", "provide", "supervisor", "training"], "retrieval_tags": [], "source_text": "Please take note that 24 weeks is not equivalent to 6 months.\nAppoint one of its officers as Company Supervisor to the student throughout the student’s\nIndustrial Training.\nDetermine the student’s training scope in accordance with the University’s suggestion.\nProvide appropriate exposure in order for the student to obtain useful practical experience.\nProvide facilities relevant to the tasks given to the student.\nConsider giving appropriate allowance or honorarium to students undergoing Industrial\nTraining. The giving of allowance or honorarium is not mandatory but highly encouraged to\nhelp students in coping with living expenses.\nGive feedback to the Industrial Training Coordinator/Faculty Supervisor regarding training\ngiven.\n- - - - - - - - -", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 21\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nPlease take note that 24 weeks is not equivalent to 6 months.\nAppoint one of its officers as Company Supervisor to the student throughout the student’s\nIndustrial Training.\nDetermine the student’s training scope in accordance with the University’s suggestion.\nProvide appropriate exposure in order for the student to obtain useful practical experience.\nProvide facilities relevant to the tasks given to the student.\nConsider giving appropriate allowance or honorarium to students undergoing Industrial\nTraining. The giving of allowance or honorarium is not mandatory but highly encouraged to\nhelp students in coping with living expenses.\nGive feedback to the Industrial Training Coordinator/Faculty Supervisor regarding training\ngiven.\n- - - - - - - - -\n\nKeywords: accordance, allowance, appoint, appropriate, given, giving, honorarium, industrial, not, provide, supervisor, training"}
+{"kb_id": "RAGKB-0291", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00291", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 22", "pages": [270, 279], "chunk_index": 22, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "Could you tell me what site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "Hey, what site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "Could you tell me what timelines are given for application, placement confirmation, training, and final submission in industrial training?", "BTW, what timelines are given for application, placement confirmation, training, and final submission in industrial training?"], "matched_qa_ids": ["qa_000356", "qa_000942", "qa_000943", "qa_000948", "qa_000949"], "grounded_answer_bank": ["The handbook gives timelines covering placement application and approval, the 24-week training period, staged logbook submissions during training, and final submission of the report and final logbook after the training ends.", "Faculty supervisors are expected to monitor students progressively, review the first and second logbooks, conduct at least one company visit during Weeks 21 to 24, meet the company supervisor, assess the student's training and logbook, evaluate the final report and final logbook, coordinate the marks, and submit the evaluation forms through the career portal."], "retrieval_keywords": ["application", "basis", "career", "complete", "comprising", "evaluation", "final", "industrial training", "logbook", "monitoring", "portal", "report", "site visits", "submission", "timeline", "training", "verify", "week"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "9 - 16\nVerify the student’s Logbook on a weekly basis. The student has\nto email scanned Second Logbook (comprising Week 9 to 16) to\nthe Faculty Supervisor in the career portal by Week 17.\nVerify the student’s Logbook on a weekly basis. The student has\nto submit the Final Logbook (comprising all the weeks) together\nwith the Final Report in the career portal within one week after the\ntraining ended.\nAllocate time to meet the Faculty Supervisor during his/her visit of\nthe student at the company.\n1. Complete Evaluation Form 2A (40%) to assess the student\nperformance in the career portal. The marks given in the\nevaluation form are confidential and should not be released to\nthe student.\n17 - 24\n21 - 24\n2. Verify the Final Report and Final Logbook prepared by the\nstudent for submission to the Faculty.\n3. Receive a copy of the Final Report from the student.\n4. Complete the Industrial Training Survey online.\nNote: The week in the table above refers to the week of the student’s Industrial Training\nand not the week of the semester.\nStudent Placement Process", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 22\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- Could you tell me what site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- Hey, what site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- Could you tell me what timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- BTW, what timelines are given for application, placement confirmation, training, and final submission in industrial training?\n\nGrounded answer bank:\n- The handbook gives timelines covering placement application and approval, the 24-week training period, staged logbook submissions during training, and final submission of the report and final logbook after the training ends.\n- Faculty supervisors are expected to monitor students progressively, review the first and second logbooks, conduct at least one company visit during Weeks 21 to 24, meet the company supervisor, assess the student's training and logbook, evaluate the final report and final logbook, coordinate the marks, and submit the evaluation forms through the career portal.\n\nSource chunk text:\n9 - 16\nVerify the student’s Logbook on a weekly basis. The student has\nto email scanned Second Logbook (comprising Week 9 to 16) to\nthe Faculty Supervisor in the career portal by Week 17.\nVerify the student’s Logbook on a weekly basis. The student has\nto submit the Final Logbook (comprising all the weeks) together\nwith the Final Report in the career portal within one week after the\ntraining ended.\nAllocate time to meet the Faculty Supervisor during his/her visit of\nthe student at the company.\n1. Complete Evaluation Form 2A (40%) to assess the student\nperformance in the career portal. The marks given in the\nevaluation form are confidential and should not be released to\nthe student.\n17 - 24\n21 - 24\n2. Verify the Final Report and Final Logbook prepared by the\nstudent for submission to the Faculty.\n3. Receive a copy of the Final Report from the student.\n4. Complete the Industrial Training Survey online.\nNote: The week in the table above refers to the week of the student’s Industrial Training\nand not the week of the semester.\nStudent Placement Process\n\nKeywords: application, basis, career, complete, comprising, evaluation, final, industrial training, logbook, monitoring, portal, report, site visits, submission, timeline, training, verify, week"}
+{"kb_id": "RAGKB-0292", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00292", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 23", "pages": [279], "chunk_index": 23, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aspects", "character", "citra", "criteria", "development", "evaluate", "evaluation", "guide", "guideline", "job", "job/training", "performance"], "retrieval_tags": [], "source_text": "Refer to the latest guideline provided by CITrA and Section 5.7.\nEVALUATION\nPurpose of Evaluation\nThe purposes of evaluation are to:\n- - - Student Evaluation Criteria\nThere are TWO (2) main aspects of evaluation:\n- - Measure the student’s job/training performance and the quality of the student’s work.\nEvaluate the development of the student’s character.\nGuide the student’s training.\nJob performance evaluation; and\nStudent character evaluation.\n5.15\n6.1\n6.2", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 23\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nSource chunk text:\nRefer to the latest guideline provided by CITrA and Section 5.7.\nEVALUATION\nPurpose of Evaluation\nThe purposes of evaluation are to:\n- - - Student Evaluation Criteria\nThere are TWO (2) main aspects of evaluation:\n- - Measure the student’s job/training performance and the quality of the student’s work.\nEvaluate the development of the student’s character.\nGuide the student’s training.\nJob performance evaluation; and\nStudent character evaluation.\n5.15\n6.1\n6.2\n\nKeywords: aspects, character, citra, criteria, development, evaluate, evaluation, guide, guideline, job, job/training, performance"}
+{"kb_id": "RAGKB-0293", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00293", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 24", "pages": [270, 280], "chunk_index": 24, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["What documents or records must students maintain during industrial training, such as logbooks or reports?", "Could you explain how is industrial training evaluated?", "BTW, how is industrial training evaluated?", "Could you list the main assessment components used to grade industrial training?", "Low-key, what are the main assessment components used to grade industrial training?"], "matched_qa_ids": ["qa_000348", "qa_000570", "qa_000571", "qa_000945", "qa_000946"], "grounded_answer_bank": ["Students must maintain the required Industrial Training records, including the First Logbook, Second Logbook, Final Logbook, and Final Report. The logbooks must follow the faculty template, be submitted according to the stated schedule, and the Final Report must be verified by the Company Supervisor before submission through the career portal.", "Industrial Training is evaluated continuously through the first logbook, second logbook, presentation during the faculty supervisor's visit, end-of-training evaluation, and the final report and final logbook, with both faculty and company supervisors involved.", "Industrial Training is graded through continuous assessment. The main components are the First Logbook (10%), Second Logbook (10%), presentation during the Faculty Supervisor's visit (20%), End of Training Evaluation by the Company Supervisor (40%), and the Final Report with Final Logbook (20%)."], "retrieval_keywords": ["assessment components", "company", "documents", "evaluation", "final", "first", "friday", "grading", "industrial", "industrial training", "logbook", "preparation", "report", "supervisor", "training", "week"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "7.\n8.\n9.\n6.3 Evaluation Method\nEvaluation is done continuously and involves the Faculty Supervisor and Company\nSupervisor. The following table shows the details of the evaluation:\nContent\nWeek 1 to 8\nWeek 9 to 16\nAll the weeks\nLOGBOOKS PREPARATION AND SUBMISSION\nPercentage\nSubmission Date\n5pm, Friday of Week 9\n5pm, Friday of Week 17\nWithin two weeks after training ended\nEvaluator\nFaculty Supervisor\nFaculty Supervisor\nFaculty Supervisor\nCompany Supervisor\nFaculty Supervisor\nFirst Logbook\nSecond Logbook\nPresentation during Faculty\nSupervisor’s visit\nEnd of Training Evaluation\nFinal Report and Final Logbook\nFirst Logbook\nSecond Logbook\nFinal Logbook\nNote: The week in the table above refers to the week of a student’s Industrial Training\nand not the week of the semester.\nFINAL REPORT PREPARATION\nCONCLUSION\nThrough the Industrial Training programme, the Faculty and University truly hope that\nstudents can make use of the provided opportunities to improve their knowledge and\nskills before embarking on their careers.", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 24\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- Could you explain how is industrial training evaluated?\n- BTW, how is industrial training evaluated?\n- Could you list the main assessment components used to grade industrial training?\n- Low-key, what are the main assessment components used to grade industrial training?\n\nGrounded answer bank:\n- Students must maintain the required Industrial Training records, including the First Logbook, Second Logbook, Final Logbook, and Final Report. The logbooks must follow the faculty template, be submitted according to the stated schedule, and the Final Report must be verified by the Company Supervisor before submission through the career portal.\n- Industrial Training is evaluated continuously through the first logbook, second logbook, presentation during the faculty supervisor's visit, end-of-training evaluation, and the final report and final logbook, with both faculty and company supervisors involved.\n- Industrial Training is graded through continuous assessment. The main components are the First Logbook (10%), Second Logbook (10%), presentation during the Faculty Supervisor's visit (20%), End of Training Evaluation by the Company Supervisor (40%), and the Final Report with Final Logbook (20%).\n\nSource chunk text:\n7.\n8.\n9.\n6.3 Evaluation Method\nEvaluation is done continuously and involves the Faculty Supervisor and Company\nSupervisor. The following table shows the details of the evaluation:\nContent\nWeek 1 to 8\nWeek 9 to 16\nAll the weeks\nLOGBOOKS PREPARATION AND SUBMISSION\nPercentage\nSubmission Date\n5pm, Friday of Week 9\n5pm, Friday of Week 17\nWithin two weeks after training ended\nEvaluator\nFaculty Supervisor\nFaculty Supervisor\nFaculty Supervisor\nCompany Supervisor\nFaculty Supervisor\nFirst Logbook\nSecond Logbook\nPresentation during Faculty\nSupervisor’s visit\nEnd of Training Evaluation\nFinal Report and Final Logbook\nFirst Logbook\nSecond Logbook\nFinal Logbook\nNote: The week in the table above refers to the week of a student’s Industrial Training\nand not the week of the semester.\nFINAL REPORT PREPARATION\nCONCLUSION\nThrough the Industrial Training programme, the Faculty and University truly hope that\nstudents can make use of the provided opportunities to improve their knowledge and\nskills before embarking on their careers.\n\nKeywords: assessment components, company, documents, evaluation, final, first, friday, grading, industrial, industrial training, logbook, preparation, report, supervisor, training, week"}
+{"kb_id": "RAGKB-0294", "knowledge_group_id": "KG-0067", "source_chunk_id": "SC-00294", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Industrial Training", "subsection": "Industrial Training Guidelines", "title": "Industrial Training - Industrial Training Guidelines - chunk 25", "pages": [280], "chunk_index": 25, "group_size_chunks": 25, "group_size_qas": 58, "linked_index_ids": ["UMI-0088", "UMI-0089", "UMI-0090", "UMI-0091", "UMI-0092", "UMI-0093", "UMI-0094", "UMI-0095", "UMI-0096", "UMI-0097", "UMI-0098", "UMI-0346", "UMI-0347", "UMI-0348", "UMI-0349", "UMI-0350", "UMI-0351", "UMI-0352", "UMI-0353", "UMI-0354", "UMI-0355", "UMI-0356", "UMI-0357"], "group_canonical_questions": ["What is industrial training and why is it compulsory?", "How is the industrial training committee structured and what does it do?", "When do eligible students take industrial training and how long does it last?", "Which students are eligible or required to undergo industrial training?", "What requirements must companies or organisations satisfy to host industrial training students?", "What responsibilities do students have during industrial training?", "What application flow is used for industrial training placement?", "What schedule must students follow during industrial training?", "What responsibilities do faculty supervisors have during industrial training?", "What responsibilities do organisation or company supervisors have during industrial training?", "How is industrial training evaluated?", "What academic status or credit conditions must students satisfy before starting industrial training?", "What attendance, discipline, or professional conduct rules apply during industrial training?", "What documents or records must students maintain during industrial training, such as logbooks or reports?", "What leave, absence, or emergency procedures are described during industrial training?", "How are placements approved or verified by the faculty before industrial training begins?", "What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?", "What site visits, monitoring, or follow-up actions are expected from faculty supervisors?", "What feedback or evaluation responsibilities are assigned to company supervisors?", "What are the main assessment components used to grade industrial training?", "What happens if a student fails, withdraws from, or does not complete industrial training successfully?", "What timelines are given for application, placement confirmation, training, and final submission in industrial training?", "What professional skills or learning outcomes does industrial training aim to develop?"], "chunk_question_variants": ["Could you tell me what documents or records must students maintain during industrial training, such as logbooks or reports?", "Ngl, what documents or records must students maintain during industrial training, such as logbooks or reports?"], "matched_qa_ids": ["qa_000936", "qa_000937"], "grounded_answer_bank": ["Students must maintain the required Industrial Training records, including the First Logbook, Second Logbook, Final Logbook, and Final Report. The logbooks must follow the faculty template, be submitted according to the stated schedule, and the Final Report must be verified by the Company Supervisor before submission through the career portal."], "retrieval_keywords": ["company", "documents", "fcsit", "final", "following", "given", "industrial", "industrial training", "logbook", "logbooks", "must", "prepared", "report", "training", "website"], "retrieval_tags": ["industrial_training", "industrial_training_guidelines", "undergraduate"], "source_text": "Final Report must be prepared according to the format given at the Industrial Training\nWebsite of FCSIT.\nRefer to the guideline of writing the Final Report at the Industrial Training Website of\nFCSIT.\nFinal Report must be verified by the Company Supervisor to ensure the authenticity of\nthe information before submission.\nFinal Report must be submitted to the Industrial Training support staff in the career\nportal and to the company within one (1) week after the Industrial Training ended.\n- - - - Every student is required to prepare the following Logbooks to record all the daily activities in the\norganisation/company:\nThe Logbooks must be prepared following the template given at the Industrial\nTraining Website of FCSIT.\n- -", "retrieval_text": "Title: Industrial Training - Industrial Training Guidelines - chunk 25\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Industrial Training\n\nSubsection: Industrial Training Guidelines\n\nCanonical questions:\n- What is industrial training and why is it compulsory?\n- How is the industrial training committee structured and what does it do?\n- When do eligible students take industrial training and how long does it last?\n- Which students are eligible or required to undergo industrial training?\n- What requirements must companies or organisations satisfy to host industrial training students?\n- What responsibilities do students have during industrial training?\n- What application flow is used for industrial training placement?\n- What schedule must students follow during industrial training?\n- What responsibilities do faculty supervisors have during industrial training?\n- What responsibilities do organisation or company supervisors have during industrial training?\n- How is industrial training evaluated?\n- What academic status or credit conditions must students satisfy before starting industrial training?\n- What attendance, discipline, or professional conduct rules apply during industrial training?\n- What documents or records must students maintain during industrial training, such as logbooks or reports?\n- What leave, absence, or emergency procedures are described during industrial training?\n- How are placements approved or verified by the faculty before industrial training begins?\n- What communication expectations exist between students, faculty supervisors, and company supervisors during industrial training?\n- What site visits, monitoring, or follow-up actions are expected from faculty supervisors?\n- What feedback or evaluation responsibilities are assigned to company supervisors?\n- What are the main assessment components used to grade industrial training?\n- What happens if a student fails, withdraws from, or does not complete industrial training successfully?\n- What timelines are given for application, placement confirmation, training, and final submission in industrial training?\n- What professional skills or learning outcomes does industrial training aim to develop?\n\nQuestion variants:\n- Could you tell me what documents or records must students maintain during industrial training, such as logbooks or reports?\n- Ngl, what documents or records must students maintain during industrial training, such as logbooks or reports?\n\nGrounded answer bank:\n- Students must maintain the required Industrial Training records, including the First Logbook, Second Logbook, Final Logbook, and Final Report. The logbooks must follow the faculty template, be submitted according to the stated schedule, and the Final Report must be verified by the Company Supervisor before submission through the career portal.\n\nSource chunk text:\nFinal Report must be prepared according to the format given at the Industrial Training\nWebsite of FCSIT.\nRefer to the guideline of writing the Final Report at the Industrial Training Website of\nFCSIT.\nFinal Report must be verified by the Company Supervisor to ensure the authenticity of\nthe information before submission.\nFinal Report must be submitted to the Industrial Training support staff in the career\nportal and to the company within one (1) week after the Industrial Training ended.\n- - - - Every student is required to prepare the following Logbooks to record all the daily activities in the\norganisation/company:\nThe Logbooks must be prepared following the template given at the Industrial\nTraining Website of FCSIT.\n- -\n\nKeywords: company, documents, fcsit, final, following, given, industrial, industrial training, logbook, logbooks, must, prepared, report, training, website"}
+{"kb_id": "RAGKB-0295", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00295", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 1", "pages": [282], "chunk_index": 1, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "How are project topics selected, approved, or assigned in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What is the overall sequence from topic approval to final completion in the academic project?", "Could you explain the academic project and who must complete it?", "Could you explain how are Academic Project I and Academic Project II structured?", "So basically, how are Academic Project I and Academic Project II structured?", "Could you list the roles and responsibilities of the academic project committee?", "Real quick, what are the roles and responsibilities of the academic project committee?", "Could you list the roles and responsibilities of supervisors, panels, and students in the academic project?"], "matched_qa_ids": ["qa_000099", "qa_000100", "qa_000101", "qa_000102", "qa_000103", "qa_000104", "qa_000105", "qa_000108", "qa_000109", "qa_000358", "qa_000363", "qa_000373", "qa_000572", "qa_000573", "qa_000574", "qa_000576", "qa_000577", "qa_000578"], "grounded_answer_bank": ["The Academic Project is an individual academic task that every undergraduate Bachelor of Computer Science student must complete. It is compulsory and is designed to help students demonstrate technical and soft skills developed throughout the programme.", "The handbook divides the project into Academic Project I and Academic Project II. It presents them as sequential courses for final-year students, with Academic Project I focusing on the earlier project stages and Academic Project II covering continuation, implementation, results, and completion.", "Students should be able to discuss the software development life cycle, develop a system based on an identified problem, write the academic project report, and experiment with the developed product.", "The Academic Project Committee is appointed by the Dean and includes coordinators from departments or units. It approves project titles, assigns panels, arranges viva schedules, manages the ilmiah system workflow, and oversees academic project administration.", "The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules.", "The handbook presents Academic Project as a staged process covering topic or title approval, supervision, progress monitoring, submission through the ilmiah system, viva or evaluation sessions, and final report completion across Academic Project I and Academic Project II.", "The academic project is assessed through monitoring, viva, and report evaluation. Panels assess the monitoring and viva components, while the supervisor assesses the report. The handbook also states that soft skills are evaluated through the viva and report components.", "Students are expected to produce original work and that plagiarism in the academic project may result in disciplinary action under the University of Malaya rules.", "Project titles are approved by the relevant coordinator and managed through the ilmiah system, after which students are assigned or confirmed under the supervision process.", "Supervisors are responsible for assigning or confirming project titles in the ilmiah system, supervising and coaching students, meeting them regularly, verifying the progress logbook, evaluating reports, and entering marks in the ilmiah system. More broadly, the handbook frames supervisors as one of the key parties responsible for guidance, monitoring, feedback, and assessment in the academic project process.", "The academic project as a staged process that moves from the Academic Project I workflow into the Academic Project II workflow, involving the student, supervisor, panels, and coordinators. Monitoring-session, viva-session, and final-report submission dates are communicated through the ilmiah system by the department coordinator."], "retrieval_keywords": ["AP I", "AP II", "APAC", "academic", "academic project", "academically", "accomplished", "all", "approval", "assessment", "attributions", "bachelor", "becoming", "carry", "committee", "completion flow", "courses", "fcsit", "guidance", "project", "sequence", "supervisors", "topic selection"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "1. Introduction\nAn Academic Project (AP) is a project or academic task that must be accomplished\nindividually by every undergraduate student to obtain the attributions. It is compulsory for\nstudents of Bachelor of Computer Science from the Faculty of Computer Science and\nInformation Technology (FCSIT), Universiti Malaya.\nACADEMIC PROJECT I AND II\nFACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY\nUNIVERSITY OF MALAYA\nThe list of the courses of Academic Project is divided as follows:\nPass all Faculty and Programme Core Courses except for Industrial Training and\nAcademic Project II.\nThis guideline is produced with the purpose of becoming the reference and guide to the\nAcademic Project Committee, supervisors, panels, and students. It provides guidelines\nrelated to the functions or roles that all parties involved in the Academic Project carry out.\nFCSIT offers Academic Project I and Academic Project II to final year students in order to\nproduce quality graduates who are excellent and academically competent in the field of", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- How are project topics selected, approved, or assigned in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nGrounded answer bank:\n- The Academic Project is an individual academic task that every undergraduate Bachelor of Computer Science student must complete. It is compulsory and is designed to help students demonstrate technical and soft skills developed throughout the programme.\n- The handbook divides the project into Academic Project I and Academic Project II. It presents them as sequential courses for final-year students, with Academic Project I focusing on the earlier project stages and Academic Project II covering continuation, implementation, results, and completion.\n- Students should be able to discuss the software development life cycle, develop a system based on an identified problem, write the academic project report, and experiment with the developed product.\n- The Academic Project Committee is appointed by the Dean and includes coordinators from departments or units. It approves project titles, assigns panels, arranges viva schedules, manages the ilmiah system workflow, and oversees academic project administration.\n- The supervision policy states that supervisors are responsible for guiding the candidate's research direction, monitoring progress, giving academic feedback, supporting timely completion, and carrying out supervision duties in line with faculty and university rules.\n- The handbook presents Academic Project as a staged process covering topic or title approval, supervision, progress monitoring, submission through the ilmiah system, viva or evaluation sessions, and final report completion across Academic Project I and Academic Project II.\n- The academic project is assessed through monitoring, viva, and report evaluation. Panels assess the monitoring and viva components, while the supervisor assesses the report. The handbook also states that soft skills are evaluated through the viva and report components.\n- Students are expected to produce original work and that plagiarism in the academic project may result in disciplinary action under the University of Malaya rules.\n- Project titles are approved by the relevant coordinator and managed through the ilmiah system, after which students are assigned or confirmed under the supervision process.\n- Supervisors are responsible for assigning or confirming project titles in the ilmiah system, supervising and coaching students, meeting them regularly, verifying the progress logbook, evaluating reports, and entering marks in the ilmiah system. More broadly, the handbook frames supervisors as one of the key parties responsible for guidance, monitoring, feedback, and assessment in the academic project process.\n- The academic project as a staged process that moves from the Academic Project I workflow into the Academic Project II workflow, involving the student, supervisor, panels, and coordinators. Monitoring-session, viva-session, and final-report submission dates are communicated through the ilmiah system by the department coordinator.\n\nSource chunk text:\n1. Introduction\nAn Academic Project (AP) is a project or academic task that must be accomplished\nindividually by every undergraduate student to obtain the attributions. It is compulsory for\nstudents of Bachelor of Computer Science from the Faculty of Computer Science and\nInformation Technology (FCSIT), Universiti Malaya.\nACADEMIC PROJECT I AND II\nFACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY\nUNIVERSITY OF MALAYA\nThe list of the courses of Academic Project is divided as follows:\nPass all Faculty and Programme Core Courses except for Industrial Training and\nAcademic Project II.\nThis guideline is produced with the purpose of becoming the reference and guide to the\nAcademic Project Committee, supervisors, panels, and students. It provides guidelines\nrelated to the functions or roles that all parties involved in the Academic Project carry out.\nFCSIT offers Academic Project I and Academic Project II to final year students in order to\nproduce quality graduates who are excellent and academically competent in the field of\n\nKeywords: AP I, AP II, APAC, academic, academic project, academically, accomplished, all, approval, assessment, attributions, bachelor, becoming, carry, committee, completion flow, courses, fcsit, guidance, project, sequence, supervisors, topic selection"}
+{"kb_id": "RAGKB-0296", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00296", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 2", "pages": [282], "chunk_index": 2, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "academic", "aim", "bachelor", "code", "completing", "course", "project", "semester", "technical", "wia3002", "year"], "retrieval_tags": [], "source_text": "Computer Science. The aim of these courses is to leverage students’ technical and soft\nskills gained throughout their studies. Students should be able to demonstrate their\ntechnical knowledge, problem-solving, critical thinking, and good decision-making while\nresearching, developing, and completing the project.\nNo.\nCourse\nTitle\nAcademic\nProject I\nProgramme\nCredits\nSemester\nSemester II\nYear 3\n1.\n2.\nAcademic\nProject II\nBachelor of Computer Science\nBachelor of Information Technology\nBachelor of Computer Science\nBachelor of Information Technology\nSemester I\nYear 4\nPre-requisite: Bachelor of Computer Science - WIA3002\nCourse\nCode\nWIA3002*\nWIB3002*\nWIA3003#\nWIB3003#", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nSource chunk text:\nComputer Science. The aim of these courses is to leverage students’ technical and soft\nskills gained throughout their studies. Students should be able to demonstrate their\ntechnical knowledge, problem-solving, critical thinking, and good decision-making while\nresearching, developing, and completing the project.\nNo.\nCourse\nTitle\nAcademic\nProject I\nProgramme\nCredits\nSemester\nSemester II\nYear 3\n1.\n2.\nAcademic\nProject II\nBachelor of Computer Science\nBachelor of Information Technology\nBachelor of Computer Science\nBachelor of Information Technology\nSemester I\nYear 4\nPre-requisite: Bachelor of Computer Science - WIA3002\nCourse\nCode\nWIA3002*\nWIB3002*\nWIA3003#\nWIB3003#\n\nKeywords: able, academic, aim, bachelor, code, completing, course, project, semester, technical, wia3002, year"}
+{"kb_id": "RAGKB-0297", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00297", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 3", "pages": [282, 283], "chunk_index": 3, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["Could you tell me what course outcomes are defined for the academic project?", "Could you explain how are project topics selected, approved, or assigned in the academic project?", "So basically, how are project topics selected, approved, or assigned in the academic project?"], "matched_qa_ids": ["qa_000575", "qa_000951", "qa_000952"], "grounded_answer_bank": ["Students should be able to discuss the software development life cycle, develop a system based on an identified problem, write the academic project report, and experiment with the developed product.", "Project titles are approved by the relevant coordinator and managed through the ilmiah system, after which students are assigned or confirmed under the supervision process."], "retrieval_keywords": ["AP I", "AP II", "APAC", "able", "academic", "academic project", "appointed", "approval", "approve", "committee", "coordinator", "course", "department", "matters", "outcome", "project", "system", "topic selection"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "2. Course Outcome\nNo. Course Title\n3. Roles and Responsibilities\nAcademic Project Committee\nThe Academic Project Committee of FCSIT is appointed by the Dean for a given timeframe. It\nconsists of an Academic Project Coordinator from each department or unit in the faculty. A\nDepartment Academic Project Coordinator is in-charge of the academic project matters of the\nstudents of the department. The committee is led by the Head of Coordinator and is assisted\nby a support staff for clerical matters.\nCourse Outcome\n1.\n2.\nAcademic\nProject I\nAcademic\nProject I\nAt the end of the course, students are able to:\n1. Discuss the software development life cycle for the project\nimplementation.\n2. Develop a system based on the problems identified.\n3. Write an academic project report undertaken by the project.\n4. Experiment with the developed product.\nThe tasks of the Department's Academic Project Coordinator are managing the process of\nAcademic Project I and Academic Project II as follows:\nApprove project titles from the supervisor via the ilmiah system.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- Could you tell me what course outcomes are defined for the academic project?\n- Could you explain how are project topics selected, approved, or assigned in the academic project?\n- So basically, how are project topics selected, approved, or assigned in the academic project?\n\nGrounded answer bank:\n- Students should be able to discuss the software development life cycle, develop a system based on an identified problem, write the academic project report, and experiment with the developed product.\n- Project titles are approved by the relevant coordinator and managed through the ilmiah system, after which students are assigned or confirmed under the supervision process.\n\nSource chunk text:\n2. Course Outcome\nNo. Course Title\n3. Roles and Responsibilities\nAcademic Project Committee\nThe Academic Project Committee of FCSIT is appointed by the Dean for a given timeframe. It\nconsists of an Academic Project Coordinator from each department or unit in the faculty. A\nDepartment Academic Project Coordinator is in-charge of the academic project matters of the\nstudents of the department. The committee is led by the Head of Coordinator and is assisted\nby a support staff for clerical matters.\nCourse Outcome\n1.\n2.\nAcademic\nProject I\nAcademic\nProject I\nAt the end of the course, students are able to:\n1. Discuss the software development life cycle for the project\nimplementation.\n2. Develop a system based on the problems identified.\n3. Write an academic project report undertaken by the project.\n4. Experiment with the developed product.\nThe tasks of the Department's Academic Project Coordinator are managing the process of\nAcademic Project I and Academic Project II as follows:\nApprove project titles from the supervisor via the ilmiah system.\n\nKeywords: AP I, AP II, APAC, able, academic, academic project, appointed, approval, approve, committee, coordinator, course, department, matters, outcome, project, system, topic selection"}
+{"kb_id": "RAGKB-0298", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00298", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 4", "pages": [283, 287], "chunk_index": 4, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["How often are students expected to meet or report to supervisors during the academic project?", "Could you tell me what proposal or early-stage requirements apply in Academic Project I?"], "matched_qa_ids": ["qa_000361", "qa_000953"], "grounded_answer_bank": ["Students are expected to have regular meetings with their supervisors throughout the semester, with at least seven meetings or discussions per semester stated for supervision. They also report progress through the progress logbook and submit monitoring and viva materials through the ilmiah system according to the schedule.", "Academic Project I focuses on the early project stage. Students are expected to define the problem background, identify a suitable solution approach, prepare a related literature review, conduct suitable data-gathering techniques, write a project proposal, and begin the report with items such as the introduction, problem statements, objectives, timeline, methodology, and initial system analysis and design."], "retrieval_keywords": ["Academic Project I", "academic", "academic project", "ilmiah", "marks", "meetings", "panels", "problem", "project", "proposal", "report", "report to supervisors", "schedules", "stated", "system", "via", "viva"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "Assign panels for monitoring and viva sessions via the ilmiah system.\nArrange viva schedules.\nInform panels, supervisors, and students on the Viva schedules via the ilmiah system.\nSubmit report on student marks for Academic Project I to Head Coordinator.\nGenerate reports on students' viva marks via the ilmiah system.\nModerate marks for Academic Project 1.\nAt the end of the course, students are able to:\n1. State the problem background.\n2. Identify a solution approach that is suitable for the\nstated problem.\n3. Report a literature review that is related to the stated\nproblem.\n4. Conduct suitable data gathering techniques.\n5. Write a project proposal.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- How often are students expected to meet or report to supervisors during the academic project?\n- Could you tell me what proposal or early-stage requirements apply in Academic Project I?\n\nGrounded answer bank:\n- Students are expected to have regular meetings with their supervisors throughout the semester, with at least seven meetings or discussions per semester stated for supervision. They also report progress through the progress logbook and submit monitoring and viva materials through the ilmiah system according to the schedule.\n- Academic Project I focuses on the early project stage. Students are expected to define the problem background, identify a suitable solution approach, prepare a related literature review, conduct suitable data-gathering techniques, write a project proposal, and begin the report with items such as the introduction, problem statements, objectives, timeline, methodology, and initial system analysis and design.\n\nSource chunk text:\nAssign panels for monitoring and viva sessions via the ilmiah system.\nArrange viva schedules.\nInform panels, supervisors, and students on the Viva schedules via the ilmiah system.\nSubmit report on student marks for Academic Project I to Head Coordinator.\nGenerate reports on students' viva marks via the ilmiah system.\nModerate marks for Academic Project 1.\nAt the end of the course, students are able to:\n1. State the problem background.\n2. Identify a solution approach that is suitable for the\nstated problem.\n3. Report a literature review that is related to the stated\nproblem.\n4. Conduct suitable data gathering techniques.\n5. Write a project proposal.\n\nKeywords: Academic Project I, academic, academic project, ilmiah, marks, meetings, panels, problem, project, proposal, report, report to supervisors, schedules, stated, system, via, viva"}
+{"kb_id": "RAGKB-0299", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00299", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 5", "pages": [282, 283, 284], "chunk_index": 5, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "Could you explain how often are students expected to meet or report to supervisors during the academic project?", "Could you tell me what responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "Just asking, what responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "Could you tell me what responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?"], "matched_qa_ids": ["qa_000362", "qa_000956", "qa_000957", "qa_000958", "qa_000959"], "grounded_answer_bank": ["Students must register for the course, attend the Week 1 briefing, confirm their supervisor and project title early, attend preparatory workshops, hold regular meetings with the supervisor, summarize each discussion in the progress logbook, submit the logbook for verification, and submit the required slides, video, logbook, viva materials, and final report through the ilmiah system by the announced deadlines.", "Students are expected to have regular meetings with their supervisors throughout the semester, with at least seven meetings or discussions per semester stated for supervision. They also report progress through the progress logbook and submit monitoring and viva materials through the ilmiah system according to the schedule.", "Supervisors are responsible for assigning or confirming project titles in the ilmiah system, supervising and coaching students, meeting them regularly, verifying the progress logbook, evaluating reports, and entering marks in the ilmiah system. More broadly, the handbook frames supervisors as one of the key parties responsible for guidance, monitoring, feedback, and assessment in the academic project process."], "retrieval_keywords": ["academic project", "assessment", "confirm", "deadlines", "discussion", "guidance", "ilmiah", "logbook", "meetings", "presentation", "progress", "progress tracking", "project", "report to supervisors", "submit", "supervisor", "supervisors", "system", "via", "week"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "Panel\nStudents\nSupervisor\nEnter the project titles via the ilmiah system.\nAssign students to the project via the ilmiah system.\nSupervise and coach students on the project.\nRegular meetings with students for project discussion (at least 7 times of\nmeetings/discussions per semester).\nVerify student’s progress logbook.\nEvaluate the student’s report.\nEnter student’s marks via the ilmiah system.\nRegister for the course.\nAttended the briefing on the Academic Project by the Head Coordinator (Week 1).\nConsult and confirm project supervisor (Week 1 – Week 2).\nConfirm the project titles in the ilmiah system (Week 2).\nAttend the preparatory workshops.\nHave regular meetings with the supervisor for project discussion.\nCompulsory to summarize the outcome of discussion/meetings with the supervisor\nin the progress logbook.\nSubmit progress logbook to supervisor for verification (Week 7 & Week 13).\nSubmit presentation slides, presentation video and progress logbook for\nmonitoring in the ilmiah system.\nSubmit presentation slides, presentation video and progress logbook for\nviva in the ilmiah system.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- Could you explain how often are students expected to meet or report to supervisors during the academic project?\n- Could you tell me what responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- Just asking, what responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- Could you tell me what responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n\nGrounded answer bank:\n- Students must register for the course, attend the Week 1 briefing, confirm their supervisor and project title early, attend preparatory workshops, hold regular meetings with the supervisor, summarize each discussion in the progress logbook, submit the logbook for verification, and submit the required slides, video, logbook, viva materials, and final report through the ilmiah system by the announced deadlines.\n- Students are expected to have regular meetings with their supervisors throughout the semester, with at least seven meetings or discussions per semester stated for supervision. They also report progress through the progress logbook and submit monitoring and viva materials through the ilmiah system according to the schedule.\n- Supervisors are responsible for assigning or confirming project titles in the ilmiah system, supervising and coaching students, meeting them regularly, verifying the progress logbook, evaluating reports, and entering marks in the ilmiah system. More broadly, the handbook frames supervisors as one of the key parties responsible for guidance, monitoring, feedback, and assessment in the academic project process.\n\nSource chunk text:\nPanel\nStudents\nSupervisor\nEnter the project titles via the ilmiah system.\nAssign students to the project via the ilmiah system.\nSupervise and coach students on the project.\nRegular meetings with students for project discussion (at least 7 times of\nmeetings/discussions per semester).\nVerify student’s progress logbook.\nEvaluate the student’s report.\nEnter student’s marks via the ilmiah system.\nRegister for the course.\nAttended the briefing on the Academic Project by the Head Coordinator (Week 1).\nConsult and confirm project supervisor (Week 1 – Week 2).\nConfirm the project titles in the ilmiah system (Week 2).\nAttend the preparatory workshops.\nHave regular meetings with the supervisor for project discussion.\nCompulsory to summarize the outcome of discussion/meetings with the supervisor\nin the progress logbook.\nSubmit progress logbook to supervisor for verification (Week 7 & Week 13).\nSubmit presentation slides, presentation video and progress logbook for\nmonitoring in the ilmiah system.\nSubmit presentation slides, presentation video and progress logbook for\nviva in the ilmiah system.\n\nKeywords: academic project, assessment, confirm, deadlines, discussion, guidance, ilmiah, logbook, meetings, presentation, progress, progress tracking, project, report to supervisors, submit, supervisor, supervisors, system, via, week"}
+{"kb_id": "RAGKB-0300", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00300", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 6", "pages": [284], "chunk_index": 6, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "attend", "enter", "evaluate", "ilmiah", "marks", "monitoring", "project", "session", "skills", "system", "viva"], "retrieval_tags": [], "source_text": "Attend the viva session as scheduled.\nEvaluate student’s project progress for monitoring.\nEnter student’s monitoring marks in the ilmiah system.\nAttend student’s viva session for Academic Project I and Academic Project II.\nEvaluate student’s project development, technical skills, system demonstration and\nsoft skills.\nEnter student’s marks in the ilmiah system.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nSource chunk text:\nAttend the viva session as scheduled.\nEvaluate student’s project progress for monitoring.\nEnter student’s monitoring marks in the ilmiah system.\nAttend student’s viva session for Academic Project I and Academic Project II.\nEvaluate student’s project development, technical skills, system demonstration and\nsoft skills.\nEnter student’s marks in the ilmiah system.\n\nKeywords: academic, attend, enter, evaluate, ilmiah, marks, monitoring, project, session, skills, system, viva"}
+{"kb_id": "RAGKB-0301", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00301", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 7", "pages": [282, 285], "chunk_index": 7, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["Could you explain the process flow for Academic Project I?", "Just asking, what's the process flow for Academic Project I?", "Could you explain the process flow for Academic Project II?", "Could you explain the overall sequence from topic approval to final completion in the academic project?"], "matched_qa_ids": ["qa_000579", "qa_000580", "qa_000581", "qa_000974"], "grounded_answer_bank": ["The handbook presents Academic Project as a staged process covering topic or title approval, supervision, progress monitoring, submission through the ilmiah system, viva or evaluation sessions, and final report completion across Academic Project I and Academic Project II.", "The academic project as a staged process that moves from the Academic Project I workflow into the Academic Project II workflow, involving the student, supervisor, panels, and coordinators. Monitoring-session, viva-session, and final-report submission dates are communicated through the ilmiah system by the department coordinator."], "retrieval_keywords": ["AP I", "AP II", "APAC", "academic", "academic project", "completion flow", "coordinators", "figure", "flow", "ilmiah", "involve", "panel", "process", "processes", "project", "report", "represents", "sequence"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "Submit the final report in the\nFigure 1 represents Academic Project\nsupervisor, panel and coordinators.\nsystem.\nFigure 2 represents Academic Project II process flow. The processes involve the\nstudent, supervisor, panel and coordinators.\nI process flow. The processes involve student,\n#The submission date for all materials prepared for the monitoring session, viva session and\nacademic project report will be notified via the ilmiah system by the Department Coordinator.\nilmiah\n4. Academic Project I Process Flow\n5. Academic Project II Process Flow", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- Could you explain the process flow for Academic Project I?\n- Just asking, what's the process flow for Academic Project I?\n- Could you explain the process flow for Academic Project II?\n- Could you explain the overall sequence from topic approval to final completion in the academic project?\n\nGrounded answer bank:\n- The handbook presents Academic Project as a staged process covering topic or title approval, supervision, progress monitoring, submission through the ilmiah system, viva or evaluation sessions, and final report completion across Academic Project I and Academic Project II.\n- The academic project as a staged process that moves from the Academic Project I workflow into the Academic Project II workflow, involving the student, supervisor, panels, and coordinators. Monitoring-session, viva-session, and final-report submission dates are communicated through the ilmiah system by the department coordinator.\n\nSource chunk text:\nSubmit the final report in the\nFigure 1 represents Academic Project\nsupervisor, panel and coordinators.\nsystem.\nFigure 2 represents Academic Project II process flow. The processes involve the\nstudent, supervisor, panel and coordinators.\nI process flow. The processes involve student,\n#The submission date for all materials prepared for the monitoring session, viva session and\nacademic project report will be notified via the ilmiah system by the Department Coordinator.\nilmiah\n4. Academic Project I Process Flow\n5. Academic Project II Process Flow\n\nKeywords: AP I, AP II, APAC, academic, academic project, completion flow, coordinators, figure, flow, ilmiah, involve, panel, process, processes, project, report, represents, sequence"}
+{"kb_id": "RAGKB-0302", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00302", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 8", "pages": [286], "chunk_index": 8, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "Could you tell me what report structure is required for Academic Project I?", "Quick one: what report structure is required for Academic Project I?", "Could you tell me what report structure is required for Academic Project II?"], "matched_qa_ids": ["qa_000106", "qa_000107", "qa_000582", "qa_000583", "qa_000584"], "grounded_answer_bank": ["The Academic Project I report includes a title page, abstract, table of contents, substantive chapters such as introduction, problem statement, objectives, timeline, research methodology, system analysis and design, conclusion, references, and appendices where appropriate."], "retrieval_keywords": ["AP I", "AP II", "APAC", "abstract", "academic", "academic project", "all", "body", "following", "general", "give", "headings", "must", "project", "report", "title"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "Section\n6. Academic Project I Report\nA title should reflect the project. The title must be concise and\nwell-written to give a general overview of what the project is\nall about.\nAn abstract of the whole report including objective, method,\nfindings, and discussion. The abstract must not exceed 300\nwords.\nLists all section headings, subsection headings, figures, and\ntables with page numbers.\nIn the body of the report, a student must address the following\ninformation:\nAbstract\nTitle Page\nConclusion\nReferences\nAppendices\n(if appropriate)\nTable of Contents\nSubstantive body of the\nreport\nEach student is required to prepare and submit a report for Academic Project I. The report\nmust contain the following information:\nChapter 1:\n- Introduction to relevant project/title: In the introduction,\nstudents must introduce the subject of the project. It\nshould give some insight into the structure of the\nreport. Some general remarks including problems and\nexisting works must be included.\n- Problem statements\n- Project objectives (and module objectives if it is a group\nproject)\n- Project timeline\nii.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- Could you tell me what report structure is required for Academic Project I?\n- Quick one: what report structure is required for Academic Project I?\n- Could you tell me what report structure is required for Academic Project II?\n\nGrounded answer bank:\n- The Academic Project I report includes a title page, abstract, table of contents, substantive chapters such as introduction, problem statement, objectives, timeline, research methodology, system analysis and design, conclusion, references, and appendices where appropriate.\n\nSource chunk text:\nSection\n6. Academic Project I Report\nA title should reflect the project. The title must be concise and\nwell-written to give a general overview of what the project is\nall about.\nAn abstract of the whole report including objective, method,\nfindings, and discussion. The abstract must not exceed 300\nwords.\nLists all section headings, subsection headings, figures, and\ntables with page numbers.\nIn the body of the report, a student must address the following\ninformation:\nAbstract\nTitle Page\nConclusion\nReferences\nAppendices\n(if appropriate)\nTable of Contents\nSubstantive body of the\nreport\nEach student is required to prepare and submit a report for Academic Project I. The report\nmust contain the following information:\nChapter 1:\n- Introduction to relevant project/title: In the introduction,\nstudents must introduce the subject of the project. It\nshould give some insight into the structure of the\nreport. Some general remarks including problems and\nexisting works must be included.\n- Problem statements\n- Project objectives (and module objectives if it is a group\nproject)\n- Project timeline\nii.\n\nKeywords: AP I, AP II, APAC, abstract, academic, academic project, all, body, following, general, give, headings, must, project, report, title"}
+{"kb_id": "RAGKB-0303", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00303", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 9", "pages": [286], "chunk_index": 9, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "addresses", "analysis", "any", "apa", "back", "chapter", "conclusion", "design", "details", "material", "project"], "retrieval_tags": [], "source_text": "iii. Chapter 3: Research methodology\niv. Chapter 4: System analysis and design (Project\nrequirements and initial design)\nA conclusion is a summarization of the main points of the\nproject and the gap(s) that is/are able to solve.\nDetails of published sources of material referred to or quoted\nin the text (including any lecture notes and URL addresses of\nany websites used). Provide up-to-date references (5 years\nback). Use APA reference style.\nAny further material which is essential for full understanding\nof the report (e.g. large scale diagrams, survey questions,\nraw data, specifications).\nChapter 2: Literature review\ni.\nDetails", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nSource chunk text:\niii. Chapter 3: Research methodology\niv. Chapter 4: System analysis and design (Project\nrequirements and initial design)\nA conclusion is a summarization of the main points of the\nproject and the gap(s) that is/are able to solve.\nDetails of published sources of material referred to or quoted\nin the text (including any lecture notes and URL addresses of\nany websites used). Provide up-to-date references (5 years\nback). Use APA reference style.\nAny further material which is essential for full understanding\nof the report (e.g. large scale diagrams, survey questions,\nraw data, specifications).\nChapter 2: Literature review\ni.\nDetails\n\nKeywords: able, addresses, analysis, any, apa, back, chapter, conclusion, design, details, material, project"}
+{"kb_id": "RAGKB-0304", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00304", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 10", "pages": [287], "chunk_index": 10, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "Could you tell me what implementation, development, or completion requirements apply in Academic Project II?", "Real quick, what implementation, development, or completion requirements apply in Academic Project II?", "Could you tell me what deliverables are required for Academic Project I besides the written report?", "Could you tell me what deliverables are required for Academic Project II besides the written report?", "Ngl, what deliverables are required for Academic Project II besides the written report?", "Could you list the key report chapter or formatting expectations for Academic Project I?", "Quick check: what are the key report chapter or formatting expectations for Academic Project I?", "Could you list the key report chapter or formatting expectations for Academic Project II?"], "matched_qa_ids": ["qa_000359", "qa_000360", "qa_000365", "qa_000366", "qa_000368", "qa_000369", "qa_000370", "qa_000954", "qa_000955", "qa_000962", "qa_000963", "qa_000964", "qa_000966", "qa_000967", "qa_000968"], "grounded_answer_bank": ["Academic Project I focuses on the early project stage. Students are expected to define the problem background, identify a suitable solution approach, prepare a related literature review, conduct suitable data-gathering techniques, write a project proposal, and begin the report with items such as the introduction, problem statements, objectives, timeline, methodology, and initial system analysis and design.", "Academic Project II focuses on implementation and completion. The report extends Academic Project I by including detailed system analysis and design, system development, results and discussion, strengths, limitations and future work, together with the completed report structure such as abstract, introduction, references, appendices, and acknowledgment.", "Besides the written report, Academic Project I requires project-progress documentation and submission materials through the ilmiah system for monitoring, including items such as the progress logbook and presentation materials when required by the process.", "Besides the written report, Academic Project II requires project-progress documentation and submission materials through the ilmiah system for viva and final assessment, including items such as the progress logbook, presentation materials, and other required project submissions.", "Academic Project I requires a properly structured report. The title should be concise and reflect the project, the report should include an abstract, and the main body should cover the objectives, problem, methodology, implementation, results, and discussion. The handbook also indicates body chapters such as system analysis and design, system development, results and discussion, and strengths, limitations, and future work, together with references and appendices where needed.", "Academic Project II requires a structured report that includes items such as a title page, abstract, acknowledgment, table of contents, introduction, the substantive body of the report, conclusion, references, and appendices where appropriate.", "The academic project is evaluated through multiple components, including monitoring, viva or presentation-related assessment, and the written report. Panels assess the monitoring and viva components, while the supervisor assesses the report, and the handbook also links soft-skills evaluation to the viva and report elements."], "retrieval_keywords": ["Academic Project I", "Academic Project II", "abstract", "academic", "academic project", "all", "analysis", "body", "chapter", "contents", "deliverables", "evaluation", "implementation", "marking rubric", "must", "page", "project", "proposal", "report", "report format", "title"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "Section\n7. Academic Project II Report\nAbstract\nTitle Page\nConclusion\nReferences\nAppendices\n(if appropriate)\nAcknowledgment\nTable of Contents\nIntroduction\nSubstantive body of the\nreport\nEach student is required to prepare and submit a report for Academic Project I. The report\nmust contain the following information:\nDetails\nA title should reflect the project. The title must be concise\nand well-written to give a general overview of what the\nproject is all about.\nAn abstract of the whole report including important features,\nresults, and conclusions. The abstract must not exceed one\n(1) page.\nList of individuals who are involved in the project either\ndirectly or indirectly.\nLists all section headings, subsection headings, figures, and\ntables with page numbers.\nStates the objectives, problem, methodology, implementation,\nresults, and discussion.\nIn the body of the report, a student must address the\nfollowing information:\nThe contents of Project Academic I report.\nChapter 4: System analysis and design (details analysis and\ndesign)\nChapter 5: System Development", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- Could you tell me what implementation, development, or completion requirements apply in Academic Project II?\n- Real quick, what implementation, development, or completion requirements apply in Academic Project II?\n- Could you tell me what deliverables are required for Academic Project I besides the written report?\n- Could you tell me what deliverables are required for Academic Project II besides the written report?\n- Ngl, what deliverables are required for Academic Project II besides the written report?\n\nGrounded answer bank:\n- Academic Project I focuses on the early project stage. Students are expected to define the problem background, identify a suitable solution approach, prepare a related literature review, conduct suitable data-gathering techniques, write a project proposal, and begin the report with items such as the introduction, problem statements, objectives, timeline, methodology, and initial system analysis and design.\n- Academic Project II focuses on implementation and completion. The report extends Academic Project I by including detailed system analysis and design, system development, results and discussion, strengths, limitations and future work, together with the completed report structure such as abstract, introduction, references, appendices, and acknowledgment.\n- Besides the written report, Academic Project I requires project-progress documentation and submission materials through the ilmiah system for monitoring, including items such as the progress logbook and presentation materials when required by the process.\n- Besides the written report, Academic Project II requires project-progress documentation and submission materials through the ilmiah system for viva and final assessment, including items such as the progress logbook, presentation materials, and other required project submissions.\n- Academic Project I requires a properly structured report. The title should be concise and reflect the project, the report should include an abstract, and the main body should cover the objectives, problem, methodology, implementation, results, and discussion. The handbook also indicates body chapters such as system analysis and design, system development, results and discussion, and strengths, limitations, and future work, together with references and appendices where needed.\n- Academic Project II requires a structured report that includes items such as a title page, abstract, acknowledgment, table of contents, introduction, the substantive body of the report, conclusion, references, and appendices where appropriate.\n- The academic project is evaluated through multiple components, including monitoring, viva or presentation-related assessment, and the written report. Panels assess the monitoring and viva components, while the supervisor assesses the report, and the handbook also links soft-skills evaluation to the viva and report elements.\n\nSource chunk text:\nSection\n7. Academic Project II Report\nAbstract\nTitle Page\nConclusion\nReferences\nAppendices\n(if appropriate)\nAcknowledgment\nTable of Contents\nIntroduction\nSubstantive body of the\nreport\nEach student is required to prepare and submit a report for Academic Project I. The report\nmust contain the following information:\nDetails\nA title should reflect the project. The title must be concise\nand well-written to give a general overview of what the\nproject is all about.\nAn abstract of the whole report including important features,\nresults, and conclusions. The abstract must not exceed one\n(1) page.\nList of individuals who are involved in the project either\ndirectly or indirectly.\nLists all section headings, subsection headings, figures, and\ntables with page numbers.\nStates the objectives, problem, methodology, implementation,\nresults, and discussion.\nIn the body of the report, a student must address the\nfollowing information:\nThe contents of Project Academic I report.\nChapter 4: System analysis and design (details analysis and\ndesign)\nChapter 5: System Development\n\nKeywords: Academic Project I, Academic Project II, abstract, academic, academic project, all, analysis, body, chapter, contents, deliverables, evaluation, implementation, marking rubric, must, page, project, proposal, report, report format, title"}
+{"kb_id": "RAGKB-0305", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00305", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 11", "pages": [287], "chunk_index": 11, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["addresses", "any", "apa", "back", "chapter", "code", "data", "details", "developed", "material", "reference", "text"], "retrieval_tags": [], "source_text": "Chapter 6: Results and Discussion\nChapter 7: Strengths, limitations and future works\nA summarization of the theme(s) developed in the main\ntext.\nDetails of published sources of material referred to or quoted\nin the text (including any lecture notes and URL addresses of\nany websites used). Provide an up-to-date reference (5 years\nback). Use APA reference style.\nAny further material which is essential for full understanding\nof the report (e.g. large scale diagrams, computer code, raw\ndata, specifications).", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 11\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nSource chunk text:\nChapter 6: Results and Discussion\nChapter 7: Strengths, limitations and future works\nA summarization of the theme(s) developed in the main\ntext.\nDetails of published sources of material referred to or quoted\nin the text (including any lecture notes and URL addresses of\nany websites used). Provide an up-to-date reference (5 years\nback). Use APA reference style.\nAny further material which is essential for full understanding\nof the report (e.g. large scale diagrams, computer code, raw\ndata, specifications).\n\nKeywords: addresses, any, apa, back, chapter, code, data, details, developed, material, reference, text"}
+{"kb_id": "RAGKB-0306", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00306", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 12", "pages": [282, 287, 288], "chunk_index": 12, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What responsibilities do panels or examiners have in evaluating the academic project?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "How are plagiarism checking and originality expectations enforced in the academic project?", "Could you explain how is the academic project evaluated?", "Ngl, how is the academic project evaluated?", "Could you explain how does the academic project guideline address plagiarism?", "Could you tell me what responsibilities do panels or examiners have in evaluating the academic project?", "Quick one: what responsibilities do panels or examiners have in evaluating the academic project?", "Could you tell me what presentation, demonstration, or viva-style components are included in academic project assessment?", "Could you tell me what marking or rubric components are used to evaluate the academic project?", "Hey, what marking or rubric components are used to evaluate the academic project?", "Could you explain how are plagiarism checking and originality expectations enforced in the academic project?"], "matched_qa_ids": ["qa_000364", "qa_000367", "qa_000371", "qa_000585", "qa_000586", "qa_000587", "qa_000960", "qa_000961", "qa_000965", "qa_000969", "qa_000970", "qa_000971"], "grounded_answer_bank": ["The appointed panels are responsible for evaluating the monitoring and viva components of the academic project, while the supervisor evaluates the report.", "The academic project is assessed through monitoring, viva, and report evaluation. Panels assess the monitoring and viva components, while the supervisor assesses the report. The handbook also states that soft skills are evaluated through the viva and report components.", "Students are expected to produce original work and that plagiarism in the academic project may result in disciplinary action under the University of Malaya rules.", "The academic project is evaluated through multiple components, including monitoring, viva or presentation-related assessment, and the written report. Panels assess the monitoring and viva components, while the supervisor assesses the report, and the handbook also links soft-skills evaluation to the viva and report elements."], "retrieval_keywords": ["AP I", "AP II", "APAC", "academic", "academic project", "assessment", "component", "demonstration", "each", "evaluation", "examiners", "marking rubric", "monitoring", "originality", "panels", "plagiarism", "presentation", "project", "report", "supervisor", "university", "viva"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "8.\n9.\nNo.\nEvaluation\nPlagiarism\nAs an enrolled student at the University of Malaya, he/she is expected to produce original\nwork. Any student who is found to have plagiarized his/her report that is part of the\nassessment in the academic project may be subjected to disciplinary action under the\nUniversity of Malaya (Discipline of Students) Rules 1999.\nCourse Title\nAssessment Component\nTotal\nTotal\n100%\n10%\n50%\n40%\n100%\nWeightage\n10%\n50%\n40%\nAssessor\n1.\n2.\nAcademic\nProject I\nAcademic\nProject II\nMonitoring\nViva\nReport\nMonitoring\nViva\nReport\nGrade\nRefer to the University’s Grading Scheme\nPanels\nPanels\nSupervisor\nPanels\nPanels\nSupervisor\nThe assessment and the weightage assigned to each component are as follows:\nContinuous Assessment: 100%\nThe assessment is divided into 3 parts which are monitoring, viva and report evaluation.\nBoth monitoring and viva evaluation are performed by the appointed panels from each\ndepartment. The report evaluation is performed by the project supervisor.\nStudent’s soft skills are evaluated in the viva and report parts.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 12\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- Could you explain how is the academic project evaluated?\n- Ngl, how is the academic project evaluated?\n- Could you explain how does the academic project guideline address plagiarism?\n- Could you tell me what responsibilities do panels or examiners have in evaluating the academic project?\n- Quick one: what responsibilities do panels or examiners have in evaluating the academic project?\n- Could you tell me what presentation, demonstration, or viva-style components are included in academic project assessment?\n- Could you tell me what marking or rubric components are used to evaluate the academic project?\n- Hey, what marking or rubric components are used to evaluate the academic project?\n- Could you explain how are plagiarism checking and originality expectations enforced in the academic project?\n\nGrounded answer bank:\n- The appointed panels are responsible for evaluating the monitoring and viva components of the academic project, while the supervisor evaluates the report.\n- The academic project is assessed through monitoring, viva, and report evaluation. Panels assess the monitoring and viva components, while the supervisor assesses the report. The handbook also states that soft skills are evaluated through the viva and report components.\n- Students are expected to produce original work and that plagiarism in the academic project may result in disciplinary action under the University of Malaya rules.\n- The academic project is evaluated through multiple components, including monitoring, viva or presentation-related assessment, and the written report. Panels assess the monitoring and viva components, while the supervisor assesses the report, and the handbook also links soft-skills evaluation to the viva and report elements.\n\nSource chunk text:\n8.\n9.\nNo.\nEvaluation\nPlagiarism\nAs an enrolled student at the University of Malaya, he/she is expected to produce original\nwork. Any student who is found to have plagiarized his/her report that is part of the\nassessment in the academic project may be subjected to disciplinary action under the\nUniversity of Malaya (Discipline of Students) Rules 1999.\nCourse Title\nAssessment Component\nTotal\nTotal\n100%\n10%\n50%\n40%\n100%\nWeightage\n10%\n50%\n40%\nAssessor\n1.\n2.\nAcademic\nProject I\nAcademic\nProject II\nMonitoring\nViva\nReport\nMonitoring\nViva\nReport\nGrade\nRefer to the University’s Grading Scheme\nPanels\nPanels\nSupervisor\nPanels\nPanels\nSupervisor\nThe assessment and the weightage assigned to each component are as follows:\nContinuous Assessment: 100%\nThe assessment is divided into 3 parts which are monitoring, viva and report evaluation.\nBoth monitoring and viva evaluation are performed by the appointed panels from each\ndepartment. The report evaluation is performed by the project supervisor.\nStudent’s soft skills are evaluated in the viva and report parts.\n\nKeywords: AP I, AP II, APAC, academic, academic project, assessment, component, demonstration, each, evaluation, examiners, marking rubric, monitoring, originality, panels, plagiarism, presentation, project, report, supervisor, university, viva"}
+{"kb_id": "RAGKB-0307", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00307", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 13", "pages": [288], "chunk_index": 13, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "attend", "did", "during", "evaluated", "fail", "he/she", "his", "not", "project", "session", "viva"], "retrieval_tags": [], "source_text": "# Important: A student will FAIL his Academic Project if\nhe/she fails his viva. The student’s report is not evaluated for grading.\nhe/she failed to attend the scheduled viva session. he/she did not\npresent his/her project during the viva session.", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 13\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nSource chunk text:\n# Important: A student will FAIL his Academic Project if\nhe/she fails his viva. The student’s report is not evaluated for grading.\nhe/she failed to attend the scheduled viva session. he/she did not\npresent his/her project during the viva session.\n\nKeywords: academic, attend, did, during, evaluated, fail, he/she, his, not, project, session, viva"}
+{"kb_id": "RAGKB-0308", "knowledge_group_id": "KG-0065", "source_chunk_id": "SC-00308", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Academic Project", "subsection": "Academic Project I and II Guidelines", "title": "Academic Project - Academic Project I and II Guidelines - chunk 14", "pages": [289], "chunk_index": 14, "group_size_chunks": 14, "group_size_qas": 70, "linked_index_ids": ["UMI-0099", "UMI-0100", "UMI-0101", "UMI-0102", "UMI-0103", "UMI-0104", "UMI-0105", "UMI-0106", "UMI-0107", "UMI-0108", "UMI-0109", "UMI-0110", "UMI-0358", "UMI-0359", "UMI-0360", "UMI-0361", "UMI-0362", "UMI-0363", "UMI-0364", "UMI-0365", "UMI-0366", "UMI-0367", "UMI-0368", "UMI-0369", "UMI-0370", "UMI-0371", "UMI-0372", "UMI-0373"], "group_canonical_questions": ["What is the academic project and who must complete it?", "How are Academic Project I and Academic Project II structured?", "What course outcomes are defined for the academic project?", "What are the roles and responsibilities of the academic project committee?", "What are the roles and responsibilities of supervisors, panels, and students in the academic project?", "What is the process flow for Academic Project I?", "What is the process flow for Academic Project II?", "What report structure is required for Academic Project I?", "What report structure is required for Academic Project II?", "How is the academic project evaluated?", "How does the academic project guideline address plagiarism?", "What is the Excellence Academic Project Award (APAC)?", "How are project topics selected, approved, or assigned in the academic project?", "What proposal or early-stage requirements apply in Academic Project I?", "What implementation, development, or completion requirements apply in Academic Project II?", "How often are students expected to meet or report to supervisors during the academic project?", "What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?", "What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?", "What responsibilities do panels or examiners have in evaluating the academic project?", "What deliverables are required for Academic Project I besides the written report?", "What deliverables are required for Academic Project II besides the written report?", "What presentation, demonstration, or viva-style components are included in academic project assessment?", "What are the key report chapter or formatting expectations for Academic Project I?", "What are the key report chapter or formatting expectations for Academic Project II?", "What marking or rubric components are used to evaluate the academic project?", "How are plagiarism checking and originality expectations enforced in the academic project?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "What is the overall sequence from topic approval to final completion in the academic project?"], "chunk_question_variants": ["What is the Excellence Academic Project Award (APAC)?", "What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "Could you explain the Excellence Academic Project Award (APAC)?", "Quick check: what's the Excellence Academic Project Award (APAC)?", "Could you tell me what conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?", "Low-key, what conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?"], "matched_qa_ids": ["qa_000110", "qa_000372", "qa_000588", "qa_000589", "qa_000972", "qa_000973"], "grounded_answer_bank": ["The Excellence Academic Project Award (APAC) is an annual event introduced to motivate students to produce excellent projects, recognize strong systems, identify good projects for reference and exhibition, and promote them for competitions, exhibitions, and intellectual property purposes.", "The Excellence Academic Project Award (APAC), introduced in 2012, is an annual event that motivates students to produce excellent projects, recognizes strong systems, identifies good projects for reference and exhibition, and promotes them for competitions, exhibitions, and intellectual property purposes."], "retrieval_keywords": ["AP I", "AP II", "APAC", "academic", "academic project", "acknowledge", "award", "award eligibility", "event", "excellence", "exhibitions", "good", "produce", "project", "projects", "systems"], "retrieval_tags": ["academic_project", "academic_project_i_and_ii_guidelines", "undergraduate"], "source_text": "10. Excellence Academic Project Award (APAC)\nsteer the competition sprits amongst students to produce good/quality systems.\nacknowledge the effort of the students in designing and developing good systems.\nidentify good projects for other students’ references and exhibitions.\npromote good projects for competitions, exhibitions, and intellectual property (IP).\nThe Excellence Academic Project Award (APAC) was initiated in 2012 to motivate students to\nproduce excellent projects. It is an annual event to select the best academic project of each\ndepartment and unit. The event will be conducted during Week 15 of Semester I in every\nsession. The objectives of APAC are to:", "retrieval_text": "Title: Academic Project - Academic Project I and II Guidelines - chunk 14\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Academic Project\n\nSubsection: Academic Project I and II Guidelines\n\nCanonical questions:\n- What is the academic project and who must complete it?\n- How are Academic Project I and Academic Project II structured?\n- What course outcomes are defined for the academic project?\n- What are the roles and responsibilities of the academic project committee?\n- What are the roles and responsibilities of supervisors, panels, and students in the academic project?\n- What is the process flow for Academic Project I?\n- What is the process flow for Academic Project II?\n- What report structure is required for Academic Project I?\n- What report structure is required for Academic Project II?\n- How is the academic project evaluated?\n- How does the academic project guideline address plagiarism?\n- What is the Excellence Academic Project Award (APAC)?\n- How are project topics selected, approved, or assigned in the academic project?\n- What proposal or early-stage requirements apply in Academic Project I?\n- What implementation, development, or completion requirements apply in Academic Project II?\n- How often are students expected to meet or report to supervisors during the academic project?\n- What responsibilities do students have for progress tracking, documentation, and deadlines in the academic project?\n- What responsibilities do supervisors have for guidance, feedback, and assessment in the academic project?\n- What responsibilities do panels or examiners have in evaluating the academic project?\n- What deliverables are required for Academic Project I besides the written report?\n- What deliverables are required for Academic Project II besides the written report?\n- What presentation, demonstration, or viva-style components are included in academic project assessment?\n- What are the key report chapter or formatting expectations for Academic Project I?\n- What are the key report chapter or formatting expectations for Academic Project II?\n- What marking or rubric components are used to evaluate the academic project?\n- How are plagiarism checking and originality expectations enforced in the academic project?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- What is the overall sequence from topic approval to final completion in the academic project?\n\nQuestion variants:\n- What is the Excellence Academic Project Award (APAC)?\n- What conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- Could you explain the Excellence Academic Project Award (APAC)?\n- Quick check: what's the Excellence Academic Project Award (APAC)?\n- Could you tell me what conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n- Low-key, what conditions or achievements make a project eligible for the Excellence Academic Project Award (APAC)?\n\nGrounded answer bank:\n- The Excellence Academic Project Award (APAC) is an annual event introduced to motivate students to produce excellent projects, recognize strong systems, identify good projects for reference and exhibition, and promote them for competitions, exhibitions, and intellectual property purposes.\n- The Excellence Academic Project Award (APAC), introduced in 2012, is an annual event that motivates students to produce excellent projects, recognizes strong systems, identifies good projects for reference and exhibition, and promotes them for competitions, exhibitions, and intellectual property purposes.\n\nSource chunk text:\n10. Excellence Academic Project Award (APAC)\nsteer the competition sprits amongst students to produce good/quality systems.\nacknowledge the effort of the students in designing and developing good systems.\nidentify good projects for other students’ references and exhibitions.\npromote good projects for competitions, exhibitions, and intellectual property (IP).\nThe Excellence Academic Project Award (APAC) was initiated in 2012 to motivate students to\nproduce excellent projects. It is an annual event to select the best academic project of each\ndepartment and unit. The event will be conducted during Week 15 of Semester I in every\nsession. The objectives of APAC are to:\n\nKeywords: AP I, AP II, APAC, academic, academic project, acknowledge, award, award eligibility, event, excellence, exhibitions, good, produce, project, projects, systems"}
+{"kb_id": "RAGKB-0309", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00309", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 1", "pages": [293], "chunk_index": 1, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": ["Could you tell me what does the 2025/2026 Language Path or English Communication Programme refer to?", "Could you explain the purpose of the Language Path or English Communication Programme for 2025/2026?", "BTW, what's the purpose of the Language Path or English Communication Programme for 2025/2026?", "Could you tell me which students are expected to follow the Language Path or English Communication Programme?", "Could you explain how is the Language Path or English Communication Programme structured across levels, bands, or courses?", "So basically, how is the Language Path or English Communication Programme structured across levels, bands, or courses?"], "matched_qa_ids": ["qa_000590", "qa_000975", "qa_000976", "qa_000977", "qa_000978", "qa_000979"], "grounded_answer_bank": ["The 2025/2026 Language Path or English Communication Programme is presented as a structured language-support or requirement pathway, with student progression determined by the university's language framework for the session.", "The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session."], "retrieval_keywords": ["English communication", "a1e", "abenbue7", "aid", "alosindwoo", "aluo", "ancy", "aney", "annsedsau", "bands", "eligible students", "english communication programme", "language path", "levels", "paseg", "pue", "pues", "purpose", "sal", "structure"], "retrieval_tags": ["language_path_and_english_communication", "language_path_course_english_communication_programme_2025_2026", "undergraduate"], "source_text": "“F Uited MOItO4 07 paxinbas a1e UoReo\\sIenb oBenBuey ysiBUZ We jnowM siuoPMs (eUIYD) YOREpUNOS WN :O1ON\nHuy annsedsau sy) ut paizindhs se asunoo Alosindwoo au Ui SSd ® BuIUIeNGO Jaye Way) 40} J9Is\\B AlUO UeD sjUBpMS pue SaysInbalaid aNey sesINOD 2s3yL\n(sesinoo papoa\n|1n9) @sunoo aBenBue7 uBja04 ¢ 36 @sin0o\n‘ysi®ug uoneoiunuwod & usa%jaq 2s0042\nJoy uondo ayy ancy SWAPMS F Ned ‘ION\neoriduiom au 38 BURUM~9ZOLLID *\nBunun\neorKdOM eAnoeya—eZOLLIO ¢\nSunuM rewuewepUNs—OZOLLIO ©\n(v) 304\n(oz -\n(oor -e1z)\n(us\n-8002) 9 pues ¥ § PUES 13NW\n(06 - 89) (on Bid ©\n62) 38a peseg—reWaUT430L ©\n3sal paseg —seindwioo 14301 +\n— 099) 3Sal paseg-seded 14301 *\ny6—s'9 puE S173] °\n(izoz! sae spuea aon ©\n(9 wnuruny)\n(ov\n(ole\nBu: .\n(99 2 v) (ust 3820738201 .\nEon\n(as — zp) — (24 aid *\n(82-G9) Sal paseg — joule) 14301 +\n— 91) sai pasea -seyndwon 1301 +\n(ozoz- 8002)» PuEBISNN *\nsuoneoweno usiu3 eBpuauie)°\n(ouiuo) sienuessa 1430\nLy - 62) —\n(ost\n— £91) 38a paseg—sainduioo 14301.\n(ozoz-go0z) ¢ puEs.L3NW *\nZHLva\nonojunUuNwiog\nGaysawas sod tio eanoay3 - $2011.79 dn weeds -Zz0LK9 + yeeds 5327 6LOLLID", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nQuestion variants:\n- Could you tell me what does the 2025/2026 Language Path or English Communication Programme refer to?\n- Could you explain the purpose of the Language Path or English Communication Programme for 2025/2026?\n- BTW, what's the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Could you tell me which students are expected to follow the Language Path or English Communication Programme?\n- Could you explain how is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- So basically, how is the Language Path or English Communication Programme structured across levels, bands, or courses?\n\nGrounded answer bank:\n- The 2025/2026 Language Path or English Communication Programme is presented as a structured language-support or requirement pathway, with student progression determined by the university's language framework for the session.\n- The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session.\n\nSource chunk text:\n“F Uited MOItO4 07 paxinbas a1e UoReo\\sIenb oBenBuey ysiBUZ We jnowM siuoPMs (eUIYD) YOREpUNOS WN :O1ON\nHuy annsedsau sy) ut paizindhs se asunoo Alosindwoo au Ui SSd ® BuIUIeNGO Jaye Way) 40} J9Is\\B AlUO UeD sjUBpMS pue SaysInbalaid aNey sesINOD 2s3yL\n(sesinoo papoa\n|1n9) @sunoo aBenBue7 uBja04 ¢ 36 @sin0o\n‘ysi®ug uoneoiunuwod & usa%jaq 2s0042\nJoy uondo ayy ancy SWAPMS F Ned ‘ION\neoriduiom au 38 BURUM~9ZOLLID *\nBunun\neorKdOM eAnoeya—eZOLLIO ¢\nSunuM rewuewepUNs—OZOLLIO ©\n(v) 304\n(oz -\n(oor -e1z)\n(us\n-8002) 9 pues ¥ § PUES 13NW\n(06 - 89) (on Bid ©\n62) 38a peseg—reWaUT430L ©\n3sal paseg —seindwioo 14301 +\n— 099) 3Sal paseg-seded 14301 *\ny6—s'9 puE S173] °\n(izoz! sae spuea aon ©\n(9 wnuruny)\n(ov\n(ole\nBu: .\n(99 2 v) (ust 3820738201 .\nEon\n(as — zp) — (24 aid *\n(82-G9) Sal paseg — joule) 14301 +\n— 91) sai pasea -seyndwon 1301 +\n(ozoz- 8002)» PuEBISNN *\nsuoneoweno usiu3 eBpuauie)°\n(ouiuo) sienuessa 1430\nLy - 62) —\n(ost\n— £91) 38a paseg—sainduioo 14301.\n(ozoz-go0z) ¢ puEs.L3NW *\nZHLva\nonojunUuNwiog\nGaysawas sod tio eanoay3 - $2011.79 dn weeds -Zz0LK9 + yeeds 5327 6LOLLID\n\nKeywords: English communication, a1e, abenbue7, aid, alosindwoo, aluo, ancy, aney, annsedsau, bands, eligible students, english communication programme, language path, levels, paseg, pue, pues, purpose, sal, structure"}
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ator eae *| (zo tp)3sal paseg—sousmuiTa30L ©\nost\n= ezi) isa) paseg —seindwoo 14301 *\n| (ezy- Zep) asa peseg-seded330l *\n. oypura Siiai +\nZpueg ian *\n(ozoz-s00z).zpueaI3NW ©\n(izoz) sz\nHive\nviva\neHLvd\nSONOS a MBN) SLNBONLS pause on\n‘SNSUNY ~\nSHHYWOOud NOLVOINAWNOD HETIONS\nGaLz 1AWOD 38 OL SASUNOD 401811", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nQuestion variants:\n- What does the 2025/2026 Language Path or English Communication Programme refer to?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n\nGrounded answer bank:\n- The 2025/2026 Language Path or English Communication Programme is presented as a structured language-support or requirement pathway, with student progression determined by the university's language framework for the session.\n- The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session.\n\nSource chunk text:\nSuoneoyiend ysiiBua eBpuquied « 10 Yiu ze ‘Aouad 1a lo sbeuen tous 2d Lo ‘ebewea ssousng Za\n(vB) (usiBua) fens y 309 « ssa :foueuOid 29 ‘peDUENDY :foueP Old 29 ‘BaDUENDY\nsuoneouieno ysiua Bpvaule «| $0 9814 26 MeuRRRIS IS to wsig za AleuueG 18\n‘sa 8\noulluo) stenuessa :\nfe\" Oh) towepeoviaid\n(v9 ~ cs) 351 peseg —; ator eae *| (zo tp)3sal paseg—sousmuiTa30L ©\nost\n= ezi) isa) paseg —seindwoo 14301 *\n| (ezy- Zep) asa peseg-seded330l *\n. oypura Siiai +\nZpueg ian *\n(ozoz-s00z).zpueaI3NW ©\n(izoz) sz\nHive\nviva\neHLvd\nSONOS a MBN) SLNBONLS pause on\n‘SNSUNY ~\nSHHYWOOud NOLVOINAWNOD HETIONS\nGaLz 1AWOD 38 OL SASUNOD 401811\n\nKeywords: English communication, aleuueg, aouad, asa, ator, awod, baduendy, bands, bpvaule, eae, ebewea, ebpuquied, ehlvd, eligible students, english communication programme, language path, levels, paseg, purpose, structure"}
+{"kb_id": "RAGKB-0312", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00312", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 4", "pages": [294], "chunk_index": 4, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aieg", "aluo", "alws", "amid", "aney", "bunun", "guuaisew-", "sasinod", "sienet", "sunoh", "upaid", "usubua"], "retrieval_tags": [], "source_text": "“b aieg moyos 01 pasnbar axe woneayyenb eDendue; ysyOuz we rnoyum siuepms (euly9) uoNepUNE WN :210N\nHivd annpadsas au) ul payeindhs se esuno> {losindwoo ayy ul Sgvd Bulureygo Jaye Way} 40) Ja}SIBau AlUO UD SjuapNs PUB Saysinbalaid aney SasINOD SSSUL «.\nBunun\neuolssajoig paoueAPY-SLOLIIO ©\nSuIpIS UOREDIUNWIOD\npaoueAPY-PIOLIID ©\n(sunoy upaid € X Sasinod Z)\n‘Ayeoquo Buipeay-eLo1I9*\nusi6ua\nul sms UoNEIUaSag-ZLOLIID*\nusu6u3 ur\nibis BUNUN JeDIUYDAL - LLOLID\nMWA usu6uz BuuaiseWi-OLOLIID *\nSAWS ANd ..\nuoneotunwwod\nanioa43-800LL19*\nsiipis BuUM yenusss3- ZOOL *\nAusu6uz Guuaisew- 9001119 *\n‘ALWS AMid -.\n[ousinbas-aig]\nlusi6uz BuvaseW- 6001S ®\n(sunoH wpaid € x SasiNoD Z)\ninbar-aid)\n‘Al ysi6u3 Buuayseyi - SOLID *\n(sunoH upaid € x Sasinod Z)\nGuz GuuaiseW- yOOLLID ©\n}6u3 Buuaisew - 2001119\nBug BuuaiseW- ZO0LLI9 ©\n(sinoH upard Z x sasinod €)\n‘vo g wnuluty - (uopuo7\n‘eBpuquied jo Aysieaiun) wnwiuIW\nusuBua sienet.y # = (uopuoy ‘eBpuquies\n(oz 4 Aussaniun) usuBua sienet.v #\n— 62) 3S@1 peseg —yeuseUL (ez-s9) (v9 - es) 3seL\n/(00¢ - £12) 3s@L pases\n~sayndwog / (119-088)\nsal pesea—sedea T4301 #", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nSource chunk text:\n“b aieg moyos 01 pasnbar axe woneayyenb eDendue; ysyOuz we rnoyum siuepms (euly9) uoNepUNE WN :210N\nHivd annpadsas au) ul payeindhs se esuno> {losindwoo ayy ul Sgvd Bulureygo Jaye Way} 40) Ja}SIBau AlUO UD SjuapNs PUB Saysinbalaid aney SasINOD SSSUL «.\nBunun\neuolssajoig paoueAPY-SLOLIIO ©\nSuIpIS UOREDIUNWIOD\npaoueAPY-PIOLIID ©\n(sunoy upaid € X Sasinod Z)\n‘Ayeoquo Buipeay-eLo1I9*\nusi6ua\nul sms UoNEIUaSag-ZLOLIID*\nusu6u3 ur\nibis BUNUN JeDIUYDAL - LLOLID\nMWA usu6uz BuuaiseWi-OLOLIID *\nSAWS ANd ..\nuoneotunwwod\nanioa43-800LL19*\nsiipis BuUM yenusss3- ZOOL *\nAusu6uz Guuaisew- 9001119 *\n‘ALWS AMid -.\n[ousinbas-aig]\nlusi6uz BuvaseW- 6001S ®\n(sunoH wpaid € x SasiNoD Z)\ninbar-aid)\n‘Al ysi6u3 Buuayseyi - SOLID *\n(sunoH upaid € x Sasinod Z)\nGuz GuuaiseW- yOOLLID ©\n}6u3 Buuaisew - 2001119\nBug BuuaiseW- ZO0LLI9 ©\n(sinoH upard Z x sasinod €)\n‘vo g wnuluty - (uopuo7\n‘eBpuquied jo Aysieaiun) wnwiuIW\nusuBua sienet.y # = (uopuoy ‘eBpuquies\n(oz 4 Aussaniun) usuBua sienet.v #\n— 62) 3S@1 peseg —yeuseUL (ez-s9) (v9 - es) 3seL\n/(00¢ - £12) 3s@L pases\n~sayndwog / (119-088)\nsal pesea—sedea T4301 #\n\nKeywords: aieg, aluo, alws, amid, aney, bunun, guuaisew-, sasinod, sienet, sunoh, upaid, usubua"}
+{"kb_id": "RAGKB-0313", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00313", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 5", "pages": [294], "chunk_index": 5, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["alinovs", "alisusainn", "ase", "e91", "eis", "ewseruy", "ezp", "hivd", "paseg", "peseg", "sal", "seded"], "retrieval_tags": [], "source_text": "oe-s'spuegsitai #\nSONVS SSGNVE13NW ©\n3501 paseg — sewiequl /(01z - 81)\n3Sal pase —Jeindwoo (299 -\neis) 3501 paseg -seded 14301 #\nO'e-s'spuegsutal #\nvoNvaianw\npaseg - yewieyul / (ost - e91) 35@L\npaseg - seindwoo / (01g - 226)\nsal pesea-sedea 14301 #\noS-sypure sital #\nSONvel3anWw ¢\n(25 - Ly) ase peseg - ewseruy (ogi -\nZL) Sal pased — sayndwos / (eZp — Ley)\nyal peseg —seded 14301 #\novpuegsiial #\nzoNve.snw\ny Hivd\n© HLWd\nZ Hivd\nLHLVd\nNoIssas OINSaVOV 9207/9Z07\nXINO SWNYYSONd SONTIOS VLVG WOUd SLNSGNLS AG G3L37dNOD 3g OL $3SUNOD 4O1s7\nSOILSINONIT GNV S3DVNONVT 40 ALINOVS\nS3SYNOD SOVNONVTHSITONS ALISUSAINN\n> a", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nSource chunk text:\noe-s'spuegsitai #\nSONVS SSGNVE13NW ©\n3501 paseg — sewiequl /(01z - 81)\n3Sal pase —Jeindwoo (299 -\neis) 3501 paseg -seded 14301 #\nO'e-s'spuegsutal #\nvoNvaianw\npaseg - yewieyul / (ost - e91) 35@L\npaseg - seindwoo / (01g - 226)\nsal pesea-sedea 14301 #\noS-sypure sital #\nSONvel3anWw ¢\n(25 - Ly) ase peseg - ewseruy (ogi -\nZL) Sal pased — sayndwos / (eZp — Ley)\nyal peseg —seded 14301 #\novpuegsiial #\nzoNve.snw\ny Hivd\n© HLWd\nZ Hivd\nLHLVd\nNoIssas OINSaVOV 9207/9Z07\nXINO SWNYYSONd SONTIOS VLVG WOUd SLNSGNLS AG G3L37dNOD 3g OL $3SUNOD 4O1s7\nSOILSINONIT GNV S3DVNONVT 40 ALINOVS\nS3SYNOD SOVNONVTHSITONS ALISUSAINN\n> a\n\nKeywords: alinovs, alisusainn, ase, e91, eis, ewseruy, ezp, hivd, paseg, peseg, sal, seded"}
+{"kb_id": "RAGKB-0314", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00314", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 6", "pages": [295], "chunk_index": 6, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": ["Could you tell me what completion or progression expectations are described in the Language Path programme?", "Could you explain how should students interpret the Language Path schedule or course allocation for 2025/2026?", "Real quick, how should students interpret the Language Path schedule or course allocation for 2025/2026?"], "matched_qa_ids": ["qa_000980", "qa_000981", "qa_000982"], "grounded_answer_bank": ["The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session."], "retrieval_keywords": ["a6enbue", "aanipaya", "aau", "aayeunose", "aben6ue7", "adeinde", "ahuasayoo", "completion", "course allocation", "language path", "lzollio", "progression", "pue", "schedule", "siuapnis", "ssed", "yeu"], "retrieval_tags": ["language_path_and_english_communication", "language_path_course_english_communication_programme_2025_2026", "undergraduate"], "source_text": "‘Depes8 WIM LZOLLIO Ssed#\n78 MOT +18 4430.\n‘Suoneniis jeuuiojut jo AjaueA e ul A@jeudosdde jresaIU! O} Waly 2/eU9\nyeu) saiBayens uoneotuNuWOD ,suapMIS sdojanap 1 TaN] ayeIaULaTUL\n‘2uL 12 Ahuasayoo pue Aayeunose usiBu3 Bunyeads uo sasn20} asinoo SIU,\n‘2 9peIB yw (It usHBUS ul Aouersyod)\nLZOLLIO ssed Jsnui suapnys -aysinbasaics\nZB | SisISaUIag UI Pa:\n‘spar Z\ndn weeds - 2201119\n(by - 62) ~ (gweapedy) 31d\noS—sppuegSiiai *\n(izoz) Se BE pueg 13MIN #\n(ozoz -8002) € puE SN ®\nba usa\n‘soidoy snouen uo Ayuazayoo\n‘s>xa} Bunun Ul SPAS ,sIuBpNIs sBrosduul asino ayy “SUONEMIS Jo apnInINu\n& ul siaujo yum SuMerau pue BuneoUuNuOD Ul souapyUOD Jou)\ndojanap 0} aoqseid Bupyeads aidwe uani6 aq osie jp Aau “sipys Buipe=d\niat anoiduut oj J8p10 ut Spx@ Bupeas jo AyaUEA e 0} pasodxe aq IM\n‘siuapnis ‘jane ayeipeuayul au Je 2sn a6enBue} pue AdeINDe JO SULA) UL\nAouaquoid aBen6ue7 usi6ua siuapnis aroidust 0} peubisap si asin0o SILL\n29 | SiaisaUiag UI p3!aUO\n‘SUpaI Z\ni usuBua ut oustoyod - 1201.79\n‘2. apes6 YIM SLOLLIO Ssed#\n19 4430,\n‘sasodind quaiayip\n40} Aanipaya SrXe} UOYS aU O} Way) aiqeUe Ww Yeu sa/GereNS Gun", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nQuestion variants:\n- Could you tell me what completion or progression expectations are described in the Language Path programme?\n- Could you explain how should students interpret the Language Path schedule or course allocation for 2025/2026?\n- Real quick, how should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nGrounded answer bank:\n- The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session.\n\nSource chunk text:\n‘Depes8 WIM LZOLLIO Ssed#\n78 MOT +18 4430.\n‘Suoneniis jeuuiojut jo AjaueA e ul A@jeudosdde jresaIU! O} Waly 2/eU9\nyeu) saiBayens uoneotuNuWOD ,suapMIS sdojanap 1 TaN] ayeIaULaTUL\n‘2uL 12 Ahuasayoo pue Aayeunose usiBu3 Bunyeads uo sasn20} asinoo SIU,\n‘2 9peIB yw (It usHBUS ul Aouersyod)\nLZOLLIO ssed Jsnui suapnys -aysinbasaics\nZB | SisISaUIag UI Pa:\n‘spar Z\ndn weeds - 2201119\n(by - 62) ~ (gweapedy) 31d\noS—sppuegSiiai *\n(izoz) Se BE pueg 13MIN #\n(ozoz -8002) € puE SN ®\nba usa\n‘soidoy snouen uo Ayuazayoo\n‘s>xa} Bunun Ul SPAS ,sIuBpNIs sBrosduul asino ayy “SUONEMIS Jo apnInINu\n& ul siaujo yum SuMerau pue BuneoUuNuOD Ul souapyUOD Jou)\ndojanap 0} aoqseid Bupyeads aidwe uani6 aq osie jp Aau “sipys Buipe=d\niat anoiduut oj J8p10 ut Spx@ Bupeas jo AyaUEA e 0} pasodxe aq IM\n‘siuapnis ‘jane ayeipeuayul au Je 2sn a6enBue} pue AdeINDe JO SULA) UL\nAouaquoid aBen6ue7 usi6ua siuapnis aroidust 0} peubisap si asin0o SILL\n29 | SiaisaUiag UI p3!aUO\n‘SUpaI Z\ni usuBua ut oustoyod - 1201.79\n‘2. apes6 YIM SLOLLIO Ssed#\n19 4430,\n‘sasodind quaiayip\n40} Aanipaya SrXe} UOYS aU O} Way) aiqeUe Ww Yeu sa/GereNS Gun\n\nKeywords: a6enbue, aanipaya, aau, aayeunose, aben6ue7, adeinde, ahuasayoo, completion, course allocation, language path, lzollio, progression, pue, schedule, siuapnis, ssed, yeu"}
+{"kb_id": "RAGKB-0315", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00315", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 7", "pages": [295], "chunk_index": 7, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": ["What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "matched_qa_ids": ["qa_000377", "qa_000378"], "grounded_answer_bank": ["The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session."], "retrieval_keywords": ["a6en6ue", "abenbue", "auy", "completion", "course allocation", "jsnui", "language path", "paseg", "pes6", "progression", "pue", "pues", "sal", "sasnoo", "schedule", "sjuapms", "ssed"], "retrieval_tags": ["language_path_and_english_communication", "language_path_course_english_communication_programme_2025_2026", "undergraduate"], "source_text": "‘01 pasodxa aq wi sluapMis ‘GuIpiing {yeIngedon pue JewWWeIE ul A9BINIOe\nuo siseudwia Ue YM ‘SIn¥S BunUM Uo Sasnoo} 11 “ysHGUS ul AOUaIoyoud\nJ0 [2Na| a\\Ipaua|uraid @ YM SWuBpMS Jo, paUb'S3P S| asinod SUL\n‘2 @pes6 uw (| ysiBua ut fouaryoic)\nSLOLLI9 ssed jsnui sjuapms “aysinbasald\n28 | SiaisaUlaS Ul PIU\n‘SUPIID Z\n‘Sunum lewewepund - 0Z01179\n‘Depes6 WIM gLOLLIO Ssed #\n1g ug30\n‘eouaipne paajes & 0 saibayens\n‘abenbue| ayeudoxdde auy Guisn Aj@yemnooe yeeds 0} Weal {IM SlUaDMS\n‘sabes UI sins Suluueld yosads squapms sdojaxap osje 1 ‘Aquav—yoo\nue Ajajeinaoe ysi6u3 ul yoaads e Buuedaid uo sasnoo) asino> Sy.\n9 2pes6 uw (| ysu6u3 ut fouarayoid)\nSLOLLIO ssed Jsnui sjuapMs aysinbaiaics\nZB | SIBISAUI9g UI PIO\n‘super Z\nweeds $387- 6LOLLT9\n(2-0) - (omapesy) 31d\n(2¢— by) 3sal paseg — jawaIul 13301\n(ost ~ ¢z1) Sal paseg — sandwod 14301\n(ey ~ Lev) 1SaL peseg ~Jedeg 13301\nor pues S17\n(1z0z) ¢z 8 z pues 130\n(0202-8002). 2 pues 13NIN\nsev usa\n‘syxau00 Jo Ajauea e ul aBenBue} auy Budonresd fa\nudoxdde a6en6ue| pue /ouany je10 ajqeuoseas ‘AoesNDIe JeaN|ONNS", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nQuestion variants:\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nGrounded answer bank:\n- The Language Path or English Communication programme as a structured requirement or support pathway for students, with progression determined by the university's language framework for the session.\n\nSource chunk text:\n‘01 pasodxa aq wi sluapMis ‘GuIpiing {yeIngedon pue JewWWeIE ul A9BINIOe\nuo siseudwia Ue YM ‘SIn¥S BunUM Uo Sasnoo} 11 “ysHGUS ul AOUaIoyoud\nJ0 [2Na| a\\Ipaua|uraid @ YM SWuBpMS Jo, paUb'S3P S| asinod SUL\n‘2 @pes6 uw (| ysiBua ut fouaryoic)\nSLOLLI9 ssed jsnui sjuapms “aysinbasald\n28 | SiaisaUlaS Ul PIU\n‘SUPIID Z\n‘Sunum lewewepund - 0Z01179\n‘Depes6 WIM gLOLLIO Ssed #\n1g ug30\n‘eouaipne paajes & 0 saibayens\n‘abenbue| ayeudoxdde auy Guisn Aj@yemnooe yeeds 0} Weal {IM SlUaDMS\n‘sabes UI sins Suluueld yosads squapms sdojaxap osje 1 ‘Aquav—yoo\nue Ajajeinaoe ysi6u3 ul yoaads e Buuedaid uo sasnoo) asino> Sy.\n9 2pes6 uw (| ysu6u3 ut fouarayoid)\nSLOLLIO ssed Jsnui sjuapMs aysinbaiaics\nZB | SIBISAUI9g UI PIO\n‘super Z\nweeds $387- 6LOLLT9\n(2-0) - (omapesy) 31d\n(2¢— by) 3sal paseg — jawaIul 13301\n(ost ~ ¢z1) Sal paseg — sandwod 14301\n(ey ~ Lev) 1SaL peseg ~Jedeg 13301\nor pues S17\n(1z0z) ¢z 8 z pues 130\n(0202-8002). 2 pues 13NIN\nsev usa\n‘syxau00 Jo Ajauea e ul aBenBue} auy Budonresd fa\nudoxdde a6en6ue| pue /ouany je10 ajqeuoseas ‘AoesNDIe JeaN|ONNS\n\nKeywords: a6en6ue, abenbue, auy, completion, course allocation, jsnui, language path, paseg, pes6, progression, pue, pues, sal, sasnoo, schedule, sjuapms, ssed"}
+{"kb_id": "RAGKB-0316", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00316", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 8", "pages": [295], "chunk_index": 8, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["adnbidisond", "aeinqeoon", "aiseq", "aouapyoud", "asinoo", "buip", "buiping", "bulpeal", "fouelsyord", "gsyinoay", "gunyeads", "pue"], "retrieval_tags": [], "source_text": "wa sjuapnis “Buiping Aeinqeoon uo pue sewues6 ut KoeunI9e uO\nssjseyduis Ue Up 2oUajadulo9 Bulpeal pue Gunyeads BuIp|Ing UO S| $n204\nysi6us ul Aouapyoud aiseq yw siuapnis 40} pouBisap si asinoo SUL\n2°81 Siaisauiag ul para\"\n‘super Z\nI ysn6ug ut fouelsyord - 8LOLLT9\n‘ADNBIDISONd GSYINOAY 4O 1337\nsu 83009", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nSource chunk text:\nwa sjuapnis “Buiping Aeinqeoon uo pue sewues6 ut KoeunI9e uO\nssjseyduis Ue Up 2oUajadulo9 Bulpeal pue Gunyeads BuIp|Ing UO S| $n204\nysi6us ul Aouapyoud aiseq yw siuapnis 40} pouBisap si asinoo SUL\n2°81 Siaisauiag ul para\"\n‘super Z\nI ysn6ug ut fouelsyord - 8LOLLT9\n‘ADNBIDISONd GSYINOAY 4O 1337\nsu 83009\n\nKeywords: adnbidisond, aeinqeoon, aiseq, aouapyoud, asinoo, buip, buiping, bulpeal, fouelsyord, gsyinoay, gunyeads, pue"}
+{"kb_id": "RAGKB-0317", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00317", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 9", "pages": [296], "chunk_index": 9, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["aatv", "aun", "ave", "bunum", "pasn", "pue", "siuapnis", "ssed", "ssnosip", "ubiy", "woy", "zbl"], "retrieval_tags": [], "source_text": "(v8) (usibuz) AaTV 30D *\nZBL siaisawas Ui paIaVO +\nsupaiIgzZ +\nSunum sseutsng peouenpy - 8201179\nsaiGaiens ay fidde pue ssnosip “azkleue o} siuapnis Jo} SieuaIeW\n‘aoqpesd Se pasn ave SuoHENYS 40 AjaUeA e Woy sa\\dwexe ayeudoxddy\nanar ajeipauwayu) uBiy aun Te suonewasaid pue saypaeds Buyaniian UI\n'pasn UORESIUNWCD [B30 Jo S\\padse lWalaylp Sessedulooue 25ND Su.\nZBL SimsqUIES UI pA +\nswage +\noneouNWWOD [EO PEOUEAPY - LZOLLID\n‘2 epes6 wim PzOLITO ssed\n19m01/ #28 B430\nx@IU09 aDerdOM e UII siuaUINDOP Bonpoxd O1 MOL.\n‘sabes ul wyGney 2q wh siuapnis “SieuaeW era}ai BusN) “aeIcyON,\n2UL 12 SydXS BuNUM arrays 0} SjuApNIS SONPONUI IW SINC SILL\nTapes\n‘uw (a usi6u3 ut Aouatouotd) PZOLIO\n‘ssed jsnw siuapmig sysMbaIaId +\nZBL SiBISeUIES UI DAO +\nsupadz +\ne0eich yom aun ve BuNUM - 9z0LL79\n‘2 epei6 um PeOLITO Sse\nLO MoT Ze H430\ntube\nsaiBayens au) Aidde pue ssnosip ‘asfreue 0} sjuapms 40} sreuatew\n‘s0qpeud Se pasn ave SuoNeMYS 40 AlaueA B Woy Sa\\dwex ajeudoddy\nrata} ajeipauuaqul uBiy 2uy Ye suonequasaid pue saynaads Buvantiap UL\n‘Bsn UORe=IUNWIWCD [BIO Jo siDadse lWala\\Ip SSSedUIODUE 24ND SUL\npro", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 9\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nSource chunk text:\n(v8) (usibuz) AaTV 30D *\nZBL siaisawas Ui paIaVO +\nsupaiIgzZ +\nSunum sseutsng peouenpy - 8201179\nsaiGaiens ay fidde pue ssnosip “azkleue o} siuapnis Jo} SieuaIeW\n‘aoqpesd Se pasn ave SuoHENYS 40 AjaUeA e Woy sa\\dwexe ayeudoxddy\nanar ajeipauwayu) uBiy aun Te suonewasaid pue saypaeds Buyaniian UI\n'pasn UORESIUNWCD [B30 Jo S\\padse lWalaylp Sessedulooue 25ND Su.\nZBL SimsqUIES UI pA +\nswage +\noneouNWWOD [EO PEOUEAPY - LZOLLID\n‘2 epes6 wim PzOLITO ssed\n19m01/ #28 B430\nx@IU09 aDerdOM e UII siuaUINDOP Bonpoxd O1 MOL.\n‘sabes ul wyGney 2q wh siuapnis “SieuaeW era}ai BusN) “aeIcyON,\n2UL 12 SydXS BuNUM arrays 0} SjuApNIS SONPONUI IW SINC SILL\nTapes\n‘uw (a usi6u3 ut Aouatouotd) PZOLIO\n‘ssed jsnw siuapmig sysMbaIaId +\nZBL SiBISeUIES UI DAO +\nsupadz +\ne0eich yom aun ve BuNUM - 9z0LL79\n‘2 epei6 um PeOLITO Sse\nLO MoT Ze H430\ntube\nsaiBayens au) Aidde pue ssnosip ‘asfreue 0} sjuapms 40} sreuatew\n‘s0qpeud Se pasn ave SuoNeMYS 40 AlaueA B Woy Sa\\dwex ajeudoddy\nrata} ajeipauuaqul uBiy 2uy Ye suonequasaid pue saynaads Buvantiap UL\n‘Bsn UORe=IUNWIWCD [BIO Jo siDadse lWala\\Ip SSSedUIODUE 24ND SUL\npro\n\nKeywords: aatv, aun, ave, bunum, pasn, pue, siuapnis, ssed, ssnosip, ubiy, woy, zbl"}
+{"kb_id": "RAGKB-0318", "knowledge_group_id": "KG-0068", "source_chunk_id": "SC-00318", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Language Path and English Communication", "subsection": "Language Path Course / English Communication Programme 2025/2026", "title": "Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 10", "pages": [296], "chunk_index": 10, "group_size_chunks": 10, "group_size_qas": 15, "linked_index_ids": ["UMI-0111", "UMI-0374", "UMI-0375", "UMI-0376", "UMI-0377", "UMI-0378"], "group_canonical_questions": ["What is the language path course or English communication programme for 2025/2026?", "What is the purpose of the Language Path or English Communication Programme for 2025/2026?", "Which students are expected to follow the Language Path or English Communication Programme?", "How is the Language Path or English Communication Programme structured across levels, bands, or courses?", "What completion or progression expectations are described in the Language Path programme?", "How should students interpret the Language Path schedule or course allocation for 2025/2026?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["a'v", "a2eicy0", "a6ues", "bunun", "pao", "pue", "sis", "siuapnis", "ssed", "usi6u3", "ysi6u3", "zbl"], "retrieval_tags": [], "source_text": "‘ua (1 ysi6u3 Ut fouapyoid) PZOLIO\n‘ssed isn sjuapmis “2usmbaiald +\nZBL SiBISAUIOS UI PAO +\nsupenz +\nuoneojunuuod 1810 enno@y3 - SZOLLTO\n(08.a'v) (ysi6u3) sso9rasool ¢\n(Q wnusruy) (usi6u3) IaAe7 Y 30D #\nwea) sis aun Adde\n0} watn Mowe mw Jet Aouatogoud Jo renal seuBiy & doj@nap 0} SIx=I JO\n‘Riauen ® 0} pasodxa 2q iw Kau. ‘Bupjeads pue Bunun 'BuIpeai vo M20)\n2 wim Sis aBenbue} sno} ay ubne) 2q Wn SUEpMS JAN] sIeIpaULaTU\nsedin Budojanap e ye ssauanqveya pue foemnave jo Sua) UL\n‘ouarayoud aben6ue7 ysi6ua siuapnis Ai10} 0} paubisap s} @sun09 SIAL\nZBL SiaIsewES UI pao +\nI ysnBua ul Aoustoyoud - FZOLLTS\n‘Depesbuw LZ0LLI9 ssed*\n28MOT /+18 8330\n‘BUNUN UF SIDS NEIBRO JUD\n‘anoidus pue uoneorunuauoo uanum anqoays eonpoid 0} MOY WES A\n‘FOUL ‘onedjunususoo a2eicy0% Jo a6ues e 0} pasodxe aq tm SIUAPNIS\nFanaj syeIpauuaqul aut Ye SaiGayens Bun SaonpoU asuNCD SHU\nDepa\n‘uum (it usi6u3 ui Aoua!ayOld) 1201\nswpanz +\nBunum eoeichyiom @anoeya - £ZOLLT9\n‘SISEONAS", "retrieval_text": "Title: Language Path and English Communication - Language Path Course / English Communication Programme 2025/2026 - chunk 10\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Language Path and English Communication\n\nSubsection: Language Path Course / English Communication Programme 2025/2026\n\nCanonical questions:\n- What is the language path course or English communication programme for 2025/2026?\n- What is the purpose of the Language Path or English Communication Programme for 2025/2026?\n- Which students are expected to follow the Language Path or English Communication Programme?\n- How is the Language Path or English Communication Programme structured across levels, bands, or courses?\n- What completion or progression expectations are described in the Language Path programme?\n- How should students interpret the Language Path schedule or course allocation for 2025/2026?\n\nSource chunk text:\n‘ua (1 ysi6u3 Ut fouapyoid) PZOLIO\n‘ssed isn sjuapmis “2usmbaiald +\nZBL SiBISAUIOS UI PAO +\nsupenz +\nuoneojunuuod 1810 enno@y3 - SZOLLTO\n(08.a'v) (ysi6u3) sso9rasool ¢\n(Q wnusruy) (usi6u3) IaAe7 Y 30D #\nwea) sis aun Adde\n0} watn Mowe mw Jet Aouatogoud Jo renal seuBiy & doj@nap 0} SIx=I JO\n‘Riauen ® 0} pasodxa 2q iw Kau. ‘Bupjeads pue Bunun 'BuIpeai vo M20)\n2 wim Sis aBenbue} sno} ay ubne) 2q Wn SUEpMS JAN] sIeIpaULaTU\nsedin Budojanap e ye ssauanqveya pue foemnave jo Sua) UL\n‘ouarayoud aben6ue7 ysi6ua siuapnis Ai10} 0} paubisap s} @sun09 SIAL\nZBL SiaIsewES UI pao +\nI ysnBua ul Aoustoyoud - FZOLLTS\n‘Depesbuw LZ0LLI9 ssed*\n28MOT /+18 8330\n‘BUNUN UF SIDS NEIBRO JUD\n‘anoidus pue uoneorunuauoo uanum anqoays eonpoid 0} MOY WES A\n‘FOUL ‘onedjunususoo a2eicy0% Jo a6ues e 0} pasodxe aq tm SIUAPNIS\nFanaj syeIpauuaqul aut Ye SaiGayens Bun SaonpoU asuNCD SHU\nDepa\n‘uum (it usi6u3 ui Aoua!ayOld) 1201\nswpanz +\nBunum eoeichyiom @anoeya - £ZOLLT9\n‘SISEONAS\n\nKeywords: a'v, a2eicy0, a6ues, bunun, pao, pue, sis, siuapnis, ssed, usi6u3, ysi6u3, zbl"}
+{"kb_id": "RAGKB-0319", "knowledge_group_id": "KG-0008", "source_chunk_id": "SC-00319", "source_doc": "Complete Handbook", "scope_label": "general", "section": "Student Dress Code", "subsection": "Dress Code and Appearance Guides for Universiti Malaya Students", "title": "Student Dress Code - Dress Code and Appearance Guides for Universiti Malaya Students - chunk 1", "pages": [297, 298], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 15, "linked_index_ids": ["UMI-0112", "UMI-0379", "UMI-0380", "UMI-0381", "UMI-0382", "UMI-0383"], "group_canonical_questions": ["What overall dress code and appearance guidance does the Universiti Malaya student poster provide?", "What overall compliance message and general appearance principles are emphasized in the student dress code poster?", "What does the student dress code poster say about compliance, reprimand, and possible enforcement actions?", "What dress expectations are illustrated for official events?", "What dress expectations are illustrated for lectures, office matters, examinations, and library use?", "How does the poster distinguish sports and recreational attire from formal or academic attire?"], "chunk_question_variants": ["What overall dress code and appearance guidance does the Universiti Malaya student poster provide?", "What overall compliance message and general appearance principles are emphasized in the student dress code poster?", "What does the student dress code poster say about compliance, reprimand, and possible enforcement actions?", "What dress expectations are illustrated for official events?", "What dress expectations are illustrated for lectures, office matters, examinations, and library use?", "How does the poster distinguish sports and recreational attire from formal or academic attire?", "Could you tell me what overall dress code and appearance guidance does the Universiti Malaya student poster provide?", "Hey, what overall dress code and appearance guidance does the Universiti Malaya student poster provide?", "Could you tell me what overall compliance message and general appearance principles are emphasized in the student dress code poster?", "Could you tell me what does the student dress code poster say about compliance, reprimand, and possible enforcement actions?", "Just asking, what does the student dress code poster say about compliance, reprimand, and possible enforcement actions?", "Could you tell me what dress expectations are illustrated for official events?", "Could you tell me what dress expectations are illustrated for lectures, office matters, examinations, and library use?", "Quick one: what dress expectations are illustrated for lectures, office matters, examinations, and library use?", "Could you explain how does the poster distinguish sports and recreational attire from formal or academic attire?"], "matched_qa_ids": ["qa_000112", "qa_000379", "qa_000380", "qa_000381", "qa_000382", "qa_000383", "qa_000591", "qa_000592", "qa_000983", "qa_000984", "qa_000985", "qa_000986", "qa_000987", "qa_000988", "qa_000989"], "grounded_answer_bank": ["The poster gives general campus dress and appearance guidance that emphasizes neat, appropriate, and university-compliant attire while on campus.", "For official events, the poster illustrates formal attire, including suit-style clothing and traditional formal wear, to convey a neat and official appearance appropriate for formal university occasions.", "For lectures, office matters, examinations, and library use, the poster illustrates neat and presentable campus attire rather than ceremonial or sports clothing. The examples shown are everyday academic or administrative outfits suitable for being on campus in those settings.", "The poster distinguishes attire by activity. Sportswear is illustrated for sports and recreational activities, while official events use formal or traditional formal clothing, and lectures, office matters, examinations, and library use are shown with neat everyday campus attire."], "retrieval_keywords": ["academic", "academic attire", "administrative", "administrative actions", "administrative directions", "administrative directions 2024", "appearance", "appearance guide", "attire", "attire categories", "campus", "categories", "code", "compliance", "directions", "does", "dress", "dress code", "enforcement", "examination", "formal attire", "illustrates", "lectures", "library", "office matters", "official events", "poster", "presentable campus attire", "reprimand", "sports and recreational", "traditional formal attire", "while on campus"], "retrieval_tags": ["dress_code_and_appearance_guides_for_universiti_malaya_students", "general", "student_dress_code"], "source_text": "UM STUDENT DRESS CODE AND APPEARANCE POSTER SUMMARY\nCompliance message\n- All Universiti Malaya students must adhere to the Universiti Malaya Administrative Directions (Student Dress Code and Appearance) 2024 while on campus.\nIllustrated attire categories on the poster\n- Official Events: the poster illustrates formal or traditional formal attire for official university occasions.\n- Lectures, Office Matters, Examination and Library: the poster illustrates neat, presentable campus attire for normal academic and administrative settings.\n- Sports and Recreational: the poster illustrates sportswear for sports and recreational activities.\nEnforcement and action\n- Academic, administrative, library and security staff members are authorised to reprimand students verbally or in writing if they violate the Administrative Directions.\n- A student who does not comply may be prevented from entering or dealing in areas where the provisions apply.\n- Other administrative actions may also be taken from time to time.\nImportant limitation\n- This poster illustrates categories of appropriate attire and enforcement expectations, but it does not provide an exhaustive item-by-item prohibited clothing list.", "retrieval_text": "Title: Student Dress Code - Dress Code and Appearance Guides for Universiti Malaya Students - chunk 1\n\nScope: general\n\nSource document: Complete Handbook\n\nSection: Student Dress Code\n\nSubsection: Dress Code and Appearance Guides for Universiti Malaya Students\n\nCanonical questions:\n- What overall dress code and appearance guidance does the Universiti Malaya student poster provide?\n- What overall compliance message and general appearance principles are emphasized in the student dress code poster?\n- What does the student dress code poster say about compliance, reprimand, and possible enforcement actions?\n- What dress expectations are illustrated for official events?\n- What dress expectations are illustrated for lectures, office matters, examinations, and library use?\n- How does the poster distinguish sports and recreational attire from formal or academic attire?\n\nQuestion variants:\n- What overall dress code and appearance guidance does the Universiti Malaya student poster provide?\n- What overall compliance message and general appearance principles are emphasized in the student dress code poster?\n- What does the student dress code poster say about compliance, reprimand, and possible enforcement actions?\n- What dress expectations are illustrated for official events?\n- What dress expectations are illustrated for lectures, office matters, examinations, and library use?\n- How does the poster distinguish sports and recreational attire from formal or academic attire?\n- Could you tell me what overall dress code and appearance guidance does the Universiti Malaya student poster provide?\n- Hey, what overall dress code and appearance guidance does the Universiti Malaya student poster provide?\n- Could you tell me what overall compliance message and general appearance principles are emphasized in the student dress code poster?\n- Could you tell me what does the student dress code poster say about compliance, reprimand, and possible enforcement actions?\n- Just asking, what does the student dress code poster say about compliance, reprimand, and possible enforcement actions?\n- Could you tell me what dress expectations are illustrated for official events?\n\nGrounded answer bank:\n- The poster gives general campus dress and appearance guidance that emphasizes neat, appropriate, and university-compliant attire while on campus.\n- For official events, the poster illustrates formal attire, including suit-style clothing and traditional formal wear, to convey a neat and official appearance appropriate for formal university occasions.\n- For lectures, office matters, examinations, and library use, the poster illustrates neat and presentable campus attire rather than ceremonial or sports clothing. The examples shown are everyday academic or administrative outfits suitable for being on campus in those settings.\n- The poster distinguishes attire by activity. Sportswear is illustrated for sports and recreational activities, while official events use formal or traditional formal clothing, and lectures, office matters, examinations, and library use are shown with neat everyday campus attire.\n\nSource chunk text:\nUM STUDENT DRESS CODE AND APPEARANCE POSTER SUMMARY\nCompliance message\n- All Universiti Malaya students must adhere to the Universiti Malaya Administrative Directions (Student Dress Code and Appearance) 2024 while on campus.\nIllustrated attire categories on the poster\n- Official Events: the poster illustrates formal or traditional formal attire for official university occasions.\n- Lectures, Office Matters, Examination and Library: the poster illustrates neat, presentable campus attire for normal academic and administrative settings.\n- Sports and Recreational: the poster illustrates sportswear for sports and recreational activities.\nEnforcement and action\n- Academic, administrative, library and security staff members are authorised to reprimand students verbally or in writing if they violate the Administrative Directions.\n- A student who does not comply may be prevented from entering or dealing in areas where the provisions apply.\n- Other administrative actions may also be taken from time to time.\nImportant limitation\n- This poster illustrates categories of appropriate attire and enforcement expectations, but it does not provide an exhaustive item-by-item prohibited clothing list.\n\nKeywords: academic, academic attire, administrative, administrative actions, administrative directions, administrative directions 2024, appearance, appearance guide, attire, attire categories, campus, categories, code, compliance, directions, does, dress, dress code, enforcement, examination, formal attire, illustrates, lectures, library, office matters, official events, poster, presentable campus attire, reprimand, sports and recreational, traditional formal attire, while on campus"}
+{"kb_id": "RAGKB-0320", "knowledge_group_id": "KG-0086", "source_chunk_id": "SC-00320", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Rules and Regulations", "subsection": "Examination Honesty and Discipline / Undergraduate Rules", "title": "Undergraduate Rules and Regulations - Examination Honesty and Discipline / Undergraduate Rules - chunk 1", "pages": [300], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 23, "linked_index_ids": ["UMI-0113", "UMI-0114", "UMI-0384", "UMI-0385", "UMI-0386", "UMI-0387", "UMI-0388", "UMI-0389", "UMI-0390"], "group_canonical_questions": ["What examination honesty and discipline rules are highlighted for undergraduate students?", "Which university regulations and policy links are referenced in the undergraduate rules section?", "How does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?", "What examples of prohibited examination behaviour are highlighted in the undergraduate rules section?", "What consequences or disciplinary actions are implied for examination dishonesty?", "What policy links, regulations, or university rule documents are referenced for undergraduate students?", "How should students use the referenced university regulations when interpreting undergraduate rules?", "What expectations about academic honesty extend beyond examinations into coursework or assessments?", "What responsibilities do students have to stay informed about current university regulations and policies?"], "chunk_question_variants": ["What examination honesty and discipline rules are highlighted for undergraduate students?", "Which university regulations and policy links are referenced in the undergraduate rules section?", "How does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?", "What examples of prohibited examination behaviour are highlighted in the undergraduate rules section?", "What consequences or disciplinary actions are implied for examination dishonesty?", "What policy links, regulations, or university rule documents are referenced for undergraduate students?", "How should students use the referenced university regulations when interpreting undergraduate rules?", "What expectations about academic honesty extend beyond examinations into coursework or assessments?", "What responsibilities do students have to stay informed about current university regulations and policies?", "Could you tell me what examination honesty and discipline rules are highlighted for undergraduate students?", "Could you tell me which university regulations and policy links are referenced in the undergraduate rules section?", "Low-key, which university regulations and policy links are referenced in the undergraduate rules section?", "Could you explain how does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?", "Ngl, how does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?", "Could you tell me what examples of prohibited examination behaviour are highlighted in the undergraduate rules section?", "Could you tell me what consequences or disciplinary actions are implied for examination dishonesty?", "Quick check: what consequences or disciplinary actions are implied for examination dishonesty?", "Could you tell me what policy links, regulations, or university rule documents are referenced for undergraduate students?", "Could you explain how should students use the referenced university regulations when interpreting undergraduate rules?", "Hey, how should students use the referenced university regulations when interpreting undergraduate rules?", "Could you tell me what expectations about academic honesty extend beyond examinations into coursework or assessments?", "Could you tell me what responsibilities do students have to stay informed about current university regulations and policies?", "Low-key, what responsibilities do students have to stay informed about current university regulations and policies?"], "matched_qa_ids": ["qa_000113", "qa_000114", "qa_000384", "qa_000385", "qa_000386", "qa_000387", "qa_000388", "qa_000389", "qa_000390", "qa_000593", "qa_000594", "qa_000595", "qa_000990", "qa_000991", "qa_000992", "qa_000993", "qa_000994", "qa_000995", "qa_000996", "qa_000997", "qa_000998", "qa_000999", "qa_001000"], "grounded_answer_bank": ["The undergraduate rules section highlights honesty in examinations, proper student conduct, and disciplinary consequences for misconduct or cheating.", "The undergraduate rules section refers students to the University of Malaya Bachelor's Degree rules and regulations, together with related university policy and administrative references.", "The undergraduate rules section does not give a long narrative definition on the page itself; instead, it directs students to the official Universiti Malaya rules and academic honesty materials. Taken together, these materials treat cheating, academic dishonesty, and examination misconduct as violations of university examination and discipline rules rather than acceptable academic behaviour.", "The referenced examination misconduct materials indicate that prohibited behaviour includes dishonest acts connected to examinations, breaches of examination rules, and other conduct classified by the university as examination misconduct or academic dishonesty.", "The consequences are disciplinary in nature. The handbook points students to official Universiti Malaya academic dishonesty, examination misconduct, and student discipline rules, which means dishonest conduct may trigger action under the university's disciplinary framework.", "Students should interpret the undergraduate rules together with the linked official Universiti Malaya regulations and notices, because the handbook page serves mainly as a pointer to the governing university documents rather than a complete restatement of every rule.", "The linked academic dishonesty materials make clear that academic honesty expectations extend beyond the examination hall to assessed academic work more generally, including coursework, reports, projects, and other written submissions that must be original and properly attributed.", "Students are responsible for keeping themselves informed about the current official university regulations, disciplinary rules, and academic honesty policies referenced by the handbook, because those linked documents are the governing sources used by the university."], "retrieval_keywords": ["aasd", "abuse", "academic", "academic dishonesty", "academic honesty", "cheating", "coursework", "credit", "disciplinary actions", "discipline", "dishonesty", "edu", "examination", "examination honesty", "fsktm", "https", "interpret regulations", "management", "policies", "policy links", "prohibited behaviour", "regulations", "rules", "rules regulations", "student responsibilities", "transfer", "transfer credit", "undergraduate rules", "university"], "retrieval_tags": ["examination_honesty_and_discipline_undergraduate_rules", "undergraduate", "undergraduate_rules_and_regulations"], "source_text": "UNDERGRADUATE RULES AND REGULATIONS\nUNIVERSITY OF MALAYA (BACHELOR’S DEGREE) RULES & REGULATIONS 2019\nhttps://fsktm.um.edu.my/undergraduate-rules-amp-regulation\nSTUDENT MISCONDUCT IN EXAMINATION\nhttps://aasd.um.edu.my/student-misconduct-in-examination\nACADEMIC DISHONESTY - UNIVERSITI MALAYA ACADEMIC PROGRAMME\nMANAGEMENT POLICY\nhttps://aasd.um.edu.my/academic-dishonesty\nUNIVERSITI MALAYA (STUDENTS DISCIPLINE) RULES 1999\nhttps://hep.um.edu.my/disciplinary\nZERO TOLERANCE CODE OF EXPLOITATION, ABUSE AND SEXUAL HARASSMENT\nIN UNIVERSITY MALAYA (UM)\nhttps://umintegrity.um.edu.my/news/are-you-harassed-exploited-or-sexually-abused\nTRANSFER CREDIT\nhttps://fsktm.um.edu.my/fsktm/doc/undergraduate/TK2UNIVERSITI%20MALAYA\n%20GUIDELINES%20ON%20THE%20MANAGEMENT%20OF%\n20APPLICATION%20FOR%20TRANSFER%20OF%20CREDIT%20AND%20C\nOURSE%20E XEMPTION.pdf", "retrieval_text": "Title: Undergraduate Rules and Regulations - Examination Honesty and Discipline / Undergraduate Rules - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Rules and Regulations\n\nSubsection: Examination Honesty and Discipline / Undergraduate Rules\n\nCanonical questions:\n- What examination honesty and discipline rules are highlighted for undergraduate students?\n- Which university regulations and policy links are referenced in the undergraduate rules section?\n- How does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?\n- What examples of prohibited examination behaviour are highlighted in the undergraduate rules section?\n- What consequences or disciplinary actions are implied for examination dishonesty?\n- What policy links, regulations, or university rule documents are referenced for undergraduate students?\n- How should students use the referenced university regulations when interpreting undergraduate rules?\n- What expectations about academic honesty extend beyond examinations into coursework or assessments?\n- What responsibilities do students have to stay informed about current university regulations and policies?\n\nQuestion variants:\n- What examination honesty and discipline rules are highlighted for undergraduate students?\n- Which university regulations and policy links are referenced in the undergraduate rules section?\n- How does the undergraduate rules section define cheating, dishonesty, or improper conduct in examinations?\n- What examples of prohibited examination behaviour are highlighted in the undergraduate rules section?\n- What consequences or disciplinary actions are implied for examination dishonesty?\n- What policy links, regulations, or university rule documents are referenced for undergraduate students?\n- How should students use the referenced university regulations when interpreting undergraduate rules?\n- What expectations about academic honesty extend beyond examinations into coursework or assessments?\n- What responsibilities do students have to stay informed about current university regulations and policies?\n- Could you tell me what examination honesty and discipline rules are highlighted for undergraduate students?\n- Could you tell me which university regulations and policy links are referenced in the undergraduate rules section?\n- Low-key, which university regulations and policy links are referenced in the undergraduate rules section?\n\nGrounded answer bank:\n- The undergraduate rules section highlights honesty in examinations, proper student conduct, and disciplinary consequences for misconduct or cheating.\n- The undergraduate rules section refers students to the University of Malaya Bachelor's Degree rules and regulations, together with related university policy and administrative references.\n- The undergraduate rules section does not give a long narrative definition on the page itself; instead, it directs students to the official Universiti Malaya rules and academic honesty materials. Taken together, these materials treat cheating, academic dishonesty, and examination misconduct as violations of university examination and discipline rules rather than acceptable academic behaviour.\n- The referenced examination misconduct materials indicate that prohibited behaviour includes dishonest acts connected to examinations, breaches of examination rules, and other conduct classified by the university as examination misconduct or academic dishonesty.\n- The consequences are disciplinary in nature. The handbook points students to official Universiti Malaya academic dishonesty, examination misconduct, and student discipline rules, which means dishonest conduct may trigger action under the university's disciplinary framework.\n- Students should interpret the undergraduate rules together with the linked official Universiti Malaya regulations and notices, because the handbook page serves mainly as a pointer to the governing university documents rather than a complete restatement of every rule.\n- The linked academic dishonesty materials make clear that academic honesty expectations extend beyond the examination hall to assessed academic work more generally, including coursework, reports, projects, and other written submissions that must be original and properly attributed.\n- Students are responsible for keeping themselves informed about the current official university regulations, disciplinary rules, and academic honesty policies referenced by the handbook, because those linked documents are the governing sources used by the university.\n\nSource chunk text:\nUNDERGRADUATE RULES AND REGULATIONS\nUNIVERSITY OF MALAYA (BACHELOR’S DEGREE) RULES & REGULATIONS 2019\nhttps://fsktm.um.edu.my/undergraduate-rules-amp-regulation\nSTUDENT MISCONDUCT IN EXAMINATION\nhttps://aasd.um.edu.my/student-misconduct-in-examination\nACADEMIC DISHONESTY - UNIVERSITI MALAYA ACADEMIC PROGRAMME\nMANAGEMENT POLICY\nhttps://aasd.um.edu.my/academic-dishonesty\nUNIVERSITI MALAYA (STUDENTS DISCIPLINE) RULES 1999\nhttps://hep.um.edu.my/disciplinary\nZERO TOLERANCE CODE OF EXPLOITATION, ABUSE AND SEXUAL HARASSMENT\nIN UNIVERSITY MALAYA (UM)\nhttps://umintegrity.um.edu.my/news/are-you-harassed-exploited-or-sexually-abused\nTRANSFER CREDIT\nhttps://fsktm.um.edu.my/fsktm/doc/undergraduate/TK2UNIVERSITI%20MALAYA\n%20GUIDELINES%20ON%20THE%20MANAGEMENT%20OF%\n20APPLICATION%20FOR%20TRANSFER%20OF%20CREDIT%20AND%20C\nOURSE%20E XEMPTION.pdf\n\nKeywords: aasd, abuse, academic, academic dishonesty, academic honesty, cheating, coursework, credit, disciplinary actions, discipline, dishonesty, edu, examination, examination honesty, fsktm, https, interpret regulations, management, policies, policy links, prohibited behaviour, regulations, rules, rules regulations, student responsibilities, transfer, transfer credit, undergraduate rules, university"}
+{"kb_id": "RAGKB-0321", "knowledge_group_id": "KG-0066", "source_chunk_id": "SC-00321", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Examination Grading Scheme", "subsection": "Official University Grades", "title": "Examination Grading Scheme - Official University Grades - chunk 1", "pages": [301], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 14, "linked_index_ids": ["UMI-0115", "UMI-0391", "UMI-0392", "UMI-0393", "UMI-0394", "UMI-0395"], "group_canonical_questions": ["How does the official university examination grading scheme work?", "What grade letters or grade bands are shown in the official university grading scheme?", "How are grade points associated with the official university grades?", "What distinctions are made between passing grades, failing grades, or special grade statuses?", "How can students interpret their results using the official university grading scheme?", "What is the relationship between the grading scheme and GPA or CGPA interpretation?"], "chunk_question_variants": ["How does the official university examination grading scheme work?", "What grade letters or grade bands are shown in the official university grading scheme?", "How are grade points associated with the official university grades?", "What distinctions are made between passing grades, failing grades, or special grade statuses?", "How can students interpret their results using the official university grading scheme?", "What is the relationship between the grading scheme and GPA or CGPA interpretation?", "Could you explain how does the official university examination grading scheme work?", "Could you tell me what grade letters or grade bands are shown in the official university grading scheme?", "Could you explain how are grade points associated with the official university grades?", "BTW, how are grade points associated with the official university grades?", "Could you tell me what distinctions are made between passing grades, failing grades, or special grade statuses?", "Could you explain how can students interpret their results using the official university grading scheme?", "So basically, how can students interpret their results using the official university grading scheme?", "Could you explain the relationship between the grading scheme and GPA or CGPA interpretation?"], "matched_qa_ids": ["qa_000115", "qa_000391", "qa_000392", "qa_000393", "qa_000394", "qa_000395", "qa_000596", "qa_001001", "qa_001002", "qa_001003", "qa_001004", "qa_001005", "qa_001006", "qa_001007"], "grounded_answer_bank": ["The handbook refers students to the official University of Malaya examination grading scheme, where grades are assigned according to university assessment rules.", "The official university grading scheme shows grade bands by linking a range of marks to a grade, a grade point, and the corresponding academic interpretation.", "The official university grading scheme associates each grade band with a grade point, so students can see how a mark translates into both a grade and the grade-point value used for academic evaluation.", "The scheme distinguishes results by separating marks into grade bands with corresponding interpretations, allowing students to see which outcomes fall into passing ranges, which fall into failing ranges, and how special or borderline statuses are treated under the university's academic rules.", "Students interpret their results by referring to the official grading table, which links the marks obtained to a grade, a grade point, and the corresponding academic interpretation.", "The official grading scheme assigns grade points to grades, and those grade points are then used to interpret and calculate GPA or CGPA under the university's academic rules."], "retrieval_keywords": ["CGPA", "GPA", "distinction", "examination", "fail", "follows", "good", "grade", "grade bands", "grade letters", "grade points", "grades", "grading", "grading scheme", "including", "interpret results", "interpretation", "marks", "pass", "special grades"], "retrieval_tags": ["examination_grading_scheme", "official_university_grades", "undergraduate"], "source_text": "EXAMINATION GRADING SCHEME\nThe official University grades including the marks and their meaning are as follows:\nMarks Grade Grade Point Interpretation\n90.00 — 100.00 At 4.00 Distinction\n80.00 - 89.99 A 4.00 Distinction\n75.00 — 79.99 A- 3.70 Distinction\n70.00 — 74.99 B+ Good\n65.00 —- 69.99 B Good\n60.00 - 64.99 B- Good\n55.00 — 59.99 C+ 2.30 Pass\n50.00 — 54.99 Cc 2.00 Pass\n45.00 —- 49.99 C- 1.70 Fail\n40.00 —- 44.99 D+ 1.30 Fail\n35.00 - 39.99 D 1.00 Fail\n00.00 - 34.99 FE 0.00 Fail", "retrieval_text": "Title: Examination Grading Scheme - Official University Grades - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Examination Grading Scheme\n\nSubsection: Official University Grades\n\nCanonical questions:\n- How does the official university examination grading scheme work?\n- What grade letters or grade bands are shown in the official university grading scheme?\n- How are grade points associated with the official university grades?\n- What distinctions are made between passing grades, failing grades, or special grade statuses?\n- How can students interpret their results using the official university grading scheme?\n- What is the relationship between the grading scheme and GPA or CGPA interpretation?\n\nQuestion variants:\n- How does the official university examination grading scheme work?\n- What grade letters or grade bands are shown in the official university grading scheme?\n- How are grade points associated with the official university grades?\n- What distinctions are made between passing grades, failing grades, or special grade statuses?\n- How can students interpret their results using the official university grading scheme?\n- What is the relationship between the grading scheme and GPA or CGPA interpretation?\n- Could you explain how does the official university examination grading scheme work?\n- Could you tell me what grade letters or grade bands are shown in the official university grading scheme?\n- Could you explain how are grade points associated with the official university grades?\n- BTW, how are grade points associated with the official university grades?\n- Could you tell me what distinctions are made between passing grades, failing grades, or special grade statuses?\n- Could you explain how can students interpret their results using the official university grading scheme?\n\nGrounded answer bank:\n- The handbook refers students to the official University of Malaya examination grading scheme, where grades are assigned according to university assessment rules.\n- The official university grading scheme shows grade bands by linking a range of marks to a grade, a grade point, and the corresponding academic interpretation.\n- The official university grading scheme associates each grade band with a grade point, so students can see how a mark translates into both a grade and the grade-point value used for academic evaluation.\n- The scheme distinguishes results by separating marks into grade bands with corresponding interpretations, allowing students to see which outcomes fall into passing ranges, which fall into failing ranges, and how special or borderline statuses are treated under the university's academic rules.\n- Students interpret their results by referring to the official grading table, which links the marks obtained to a grade, a grade point, and the corresponding academic interpretation.\n- The official grading scheme assigns grade points to grades, and those grade points are then used to interpret and calculate GPA or CGPA under the university's academic rules.\n\nSource chunk text:\nEXAMINATION GRADING SCHEME\nThe official University grades including the marks and their meaning are as follows:\nMarks Grade Grade Point Interpretation\n90.00 — 100.00 At 4.00 Distinction\n80.00 - 89.99 A 4.00 Distinction\n75.00 — 79.99 A- 3.70 Distinction\n70.00 — 74.99 B+ Good\n65.00 —- 69.99 B Good\n60.00 - 64.99 B- Good\n55.00 — 59.99 C+ 2.30 Pass\n50.00 — 54.99 Cc 2.00 Pass\n45.00 —- 49.99 C- 1.70 Fail\n40.00 —- 44.99 D+ 1.30 Fail\n35.00 - 39.99 D 1.00 Fail\n00.00 - 34.99 FE 0.00 Fail\n\nKeywords: CGPA, GPA, distinction, examination, fail, follows, good, grade, grade bands, grade letters, grade points, grades, grading, grading scheme, including, interpret results, interpretation, marks, pass, special grades"}
+{"kb_id": "RAGKB-0322", "knowledge_group_id": "KG-0080", "source_chunk_id": "SC-00322", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Computer System and Network)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 1", "pages": [202], "chunk_index": 1, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0067", "UMI-0068", "UMI-0304", "UMI-0305", "UMI-0306", "UMI-0307"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?"], "matched_qa_ids": ["qa_000067", "qa_000305", "qa_000524", "qa_000872"], "grounded_answer_bank": ["The Bachelor of Computer Science (Computer System and Network) programme aims to produce graduates who can apply computer science knowledge and specific Computer System and Network techniques to solve computer-based problems. Its goals and outcomes emphasise broad computer science knowledge with deeper domain understanding, practical problem solving, requirements gathering and system development, mathematical and modelling ability, communication, teamwork, innovation or entrepreneurship, professionalism, continuous personal development, and societal engagement."], "retrieval_keywords": ["Bachelor of Computer Science (Computer System and Network)", "apply", "computer-based", "designing", "engage", "goals", "graduate attributes", "graduates", "intelligence-based", "knowledge", "learning", "learning outcomes", "network", "programme goals", "solve", "techniques"], "retrieval_tags": ["bachelor_of_computer_science_computer_system_and_network", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Computer System & Network) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Computer System & Network techniques.\nApply an understanding of Computer Science domain to solve problems by exploring\ninnovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic Mathematics and computer science theories specifically techniques in\nmodelling and designing computer-based systems.\nCommunicate effectively and engage in teamwork to solve issues related to\nintelligence-based computer science.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Computer System and Network) programme aims to produce graduates who can apply computer science knowledge and specific Computer System and Network techniques to solve computer-based problems. Its goals and outcomes emphasise broad computer science knowledge with deeper domain understanding, practical problem solving, requirements gathering and system development, mathematical and modelling ability, communication, teamwork, innovation or entrepreneurship, professionalism, continuous personal development, and societal engagement.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Computer System & Network) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Computer System & Network techniques.\nApply an understanding of Computer Science domain to solve problems by exploring\ninnovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic Mathematics and computer science theories specifically techniques in\nmodelling and designing computer-based systems.\nCommunicate effectively and engage in teamwork to solve issues related to\nintelligence-based computer science.\n\nKeywords: Bachelor of Computer Science (Computer System and Network), apply, computer-based, designing, engage, goals, graduate attributes, graduates, intelligence-based, knowledge, learning, learning outcomes, network, programme goals, solve, techniques"}
+{"kb_id": "RAGKB-0323", "knowledge_group_id": "KG-0080", "source_chunk_id": "SC-00323", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Computer System and Network)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 2", "pages": [202], "chunk_index": 2, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0067", "UMI-0068", "UMI-0304", "UMI-0305", "UMI-0306", "UMI-0307"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ability", "advance", "advanced", "and/or", "computing", "development", "graduates", "professionalism", "societal", "technical", "technologies", "will"], "retrieval_tags": [], "source_text": "Works effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the field\nevolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science to meet current and future needs (Continuous Personal Development).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science practices (Societal Engagement).\n(1)\n(2)\n(3)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nSource chunk text:\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the field\nevolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science to meet current and future needs (Continuous Personal Development).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science practices (Societal Engagement).\n(1)\n(2)\n(3)\n\nKeywords: ability, advance, advanced, and/or, computing, development, graduates, professionalism, societal, technical, technologies, will"}
+{"kb_id": "RAGKB-0324", "knowledge_group_id": "KG-0080", "source_chunk_id": "SC-00324", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Computer System and Network)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 3", "pages": [203], "chunk_index": 3, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0067", "UMI-0068", "UMI-0304", "UMI-0305", "UMI-0306", "UMI-0307"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?", "Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "Just asking, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "So basically, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Real quick, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "matched_qa_ids": ["qa_000068", "qa_000304", "qa_000306", "qa_000307", "qa_000525", "qa_000526", "qa_000870", "qa_000871", "qa_000873", "qa_000874", "qa_000875"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "The distinctive specialization focus is computer system and network, reflected in the programme's emphasis on computer systems, networking knowledge, related technical problem solving, and system-oriented professional practice.", "A semester-by-semester curriculum structure for Bachelor of Computer Science (Computer System and Network). It combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the specialization focus centered on computer system and network."], "retrieval_keywords": ["Bachelor of Computer Science (Computer System and Network)", "academic", "all", "appreciation", "code", "core", "core study areas", "course", "course planning", "courses", "credits", "curriculum", "curriculum structure", "except", "programme goals", "project", "semester", "semester planning", "specialization focus", "tor"], "retrieval_tags": ["bachelor_of_computer_science_computer_system_and_network", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (COMPUTER SYSTEM AND NETWORK)\n‘ACADEMIC SESSION 2025/2026\nCOURSE COMPONENT\n‘COURSE CODE UNIVERSITY COURSES: CREDITS SEMESTER:\nGIG1012_ Philosophy and Current Issues (for local student only)\nGLT 1049 Basic Malay Language (for international student) 2 2\nGIG1013, | Appreciation of Ethics and Civilizations 1\nCOURSECODE | FACULTY CORE COURSES CREDITS | SEMESTER\nTF | Project Management 1\nconsecon | SERS eeiasrmar | ercor_| soren\nMaking the World a Better Place\nCOURSE CODE PROGRAMME CORE COURSES CREDITS SEMESTER,\nWIA1006. Machine Leaming 3\nCOURSE CODE SPECIALIZATION ELECTIVE COURSES (Choose 10:\nWiC2008. Internet of Things (#WIA1005) 3 tor\n‘WIC3001 ‘Mathematics in Networking 3 Tor?\nTOTAL CREDITS FOR GRADUATION 128\n# Prerequisite\n* Taken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- Just asking, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- So basically, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Real quick, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- The distinctive specialization focus is computer system and network, reflected in the programme's emphasis on computer systems, networking knowledge, related technical problem solving, and system-oriented professional practice.\n- A semester-by-semester curriculum structure for Bachelor of Computer Science (Computer System and Network). It combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the specialization focus centered on computer system and network.\n\nSource chunk text:\nCURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (COMPUTER SYSTEM AND NETWORK)\n‘ACADEMIC SESSION 2025/2026\nCOURSE COMPONENT\n‘COURSE CODE UNIVERSITY COURSES: CREDITS SEMESTER:\nGIG1012_ Philosophy and Current Issues (for local student only)\nGLT 1049 Basic Malay Language (for international student) 2 2\nGIG1013, | Appreciation of Ethics and Civilizations 1\nCOURSECODE | FACULTY CORE COURSES CREDITS | SEMESTER\nTF | Project Management 1\nconsecon | SERS eeiasrmar | ercor_| soren\nMaking the World a Better Place\nCOURSE CODE PROGRAMME CORE COURSES CREDITS SEMESTER,\nWIA1006. Machine Leaming 3\nCOURSE CODE SPECIALIZATION ELECTIVE COURSES (Choose 10:\nWiC2008. Internet of Things (#WIA1005) 3 tor\n‘WIC3001 ‘Mathematics in Networking 3 Tor?\nTOTAL CREDITS FOR GRADUATION 128\n# Prerequisite\n* Taken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n\nKeywords: Bachelor of Computer Science (Computer System and Network), academic, all, appreciation, code, core, core study areas, course, course planning, courses, credits, curriculum, curriculum structure, except, programme goals, project, semester, semester planning, specialization focus, tor"}
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Desig and Hardware Descpton Language KIAR: Integy and Ants Corspon couree\nwx2n09 | Digit Deson and Hard a ‘eto aed Ant-Con 2\nTae a", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nSource chunk text:\n‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (COMPUTER SYSTEM AND NETWORK)\n‘ACADEMIC SESSION 20252028\n‘GIGI012/ | Phiosophy and Curent ssios foo suet ony) Base\nestat) | Sac Enna a cLr1040 _| taay Language foreman tse 2\nSEDO agian or Communication Ty z ‘GLA Engish for Communication (2) z\nWwixi0o1 —{ Comuing Napsmates | x ioo2 —| Dain Stuure @WOXIOT2\nnxico2 | Fundamentals of Prosranming = H FY\nwoxi003 —[ Computer Systems and Orgnzaioy z wvs1005 —[ HetworkTochology Foundation x3\nwz001 | Thing and Communion Sts x wwi096 | Machine Learning z\nTaal} oar\n‘Semester | creas]\n“GiG1013 | Appreciation of Es and Cmlzstons z Co Curestum 2\nwxzo02 | Project Management eT Operaing Sstons z\nWwiA2001 —[ Database z Aigottin Des ond Anas AWATOOD) rn\nWwiA2003—[ Probab and States 3 Spocaizaton Elocio 3) 3\nWin2006 —| Syston Anais and DosR x SpocazatonElecie 2)= EI\nWiAz008 —[ pavarced Hework Tettogy GRMATODS) n Spocalzaton Eleae (3)= z\n‘Dig! Desig and Hardware Descpton Language KIAR: Integy and Ants Corspon couree\nwx2n09 | Digit Deson and Hard a ‘eto aed Ant-Con 2\nTae a\n\nKeywords: academic, aed, agian, aigottin, anais, anas, ant-con, ants, appreciation, awatood, communication, language"}
+{"kb_id": "RAGKB-0326", "knowledge_group_id": "KG-0080", "source_chunk_id": "SC-00326", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Computer System and Network)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 5", "pages": [204], "chunk_index": 5, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0067", "UMI-0068", "UMI-0304", "UMI-0305", "UMI-0306", "UMI-0307"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "code", "core", "course", "courses", "custer", "elec", "gore", "project", "semester", "specialization", "spooalzaton"], "retrieval_tags": [], "source_text": "Course Code | ‘Semester Semester? reais |\n| wnasoor P industil Tieng = 13002 | Aeademe Prowct 2\nSpooalzaton fiecie = 3\nSpooalzaton Elesie 5)\" z\nSpecalzaton Elec (6)= 3\nSpocatzaton Elec (7)™ z\nUnversty Eeciv (Custer: Tanking Matera Mnd& | >\niiotect,\nUnwersty Elec (str 2: TochnategyAaical z\n| ittigsren ond Dota Anaties. Teche\nTear] Tea |\n‘Course Code Semester Tre ‘Great Datrbaion\nCo Gureaan z ‘Course Component crea\nWSIS — acoso Pree MASOOD 5 Unversity Courses i\nSpecialization Elecive () = 3 Faculy Gore Courses 7\nSpecialization Bec (> el Trversy Seve Couses e\nSpeaazaion Eecve 01™ z Programe Gore Courses a\nUniverstyElcive (Custer 3) Gaba lsvos and tasiod BatdialGarean\nCommunity Sustanabity Making the Worl Bat Pace |_* Seine oo 2\nTear] ie \"TOTAL CREDITS FOR GRADUATION |\n# Proroausi\n“Taken al Facuty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Facly and Programme Core Courses excop or Industral Tring and Acadomc Projoc I", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nSource chunk text:\nCourse Code | ‘Semester Semester? reais |\n| wnasoor P industil Tieng = 13002 | Aeademe Prowct 2\nSpooalzaton fiecie = 3\nSpooalzaton Elesie 5)\" z\nSpecalzaton Elec (6)= 3\nSpocatzaton Elec (7)™ z\nUnversty Eeciv (Custer: Tanking Matera Mnd& | >\niiotect,\nUnwersty Elec (str 2: TochnategyAaical z\n| ittigsren ond Dota Anaties. Teche\nTear] Tea |\n‘Course Code Semester Tre ‘Great Datrbaion\nCo Gureaan z ‘Course Component crea\nWSIS — acoso Pree MASOOD 5 Unversity Courses i\nSpecialization Elecive () = 3 Faculy Gore Courses 7\nSpecialization Bec (> el Trversy Seve Couses e\nSpeaazaion Eecve 01™ z Programe Gore Courses a\nUniverstyElcive (Custer 3) Gaba lsvos and tasiod BatdialGarean\nCommunity Sustanabity Making the Worl Bat Pace |_* Seine oo 2\nTear] ie \"TOTAL CREDITS FOR GRADUATION |\n# Proroausi\n“Taken al Facuty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Facly and Programme Core Courses excop or Industral Tring and Acadomc Projoc I\n\nKeywords: academic, code, core, course, courses, custer, elec, gore, project, semester, specialization, spooalzaton"}
+{"kb_id": "RAGKB-0327", "knowledge_group_id": "KG-0080", "source_chunk_id": "SC-00327", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Computer System and Network)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 6", "pages": [204], "chunk_index": 6, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0067", "UMI-0068", "UMI-0304", "UMI-0305", "UMI-0306", "UMI-0307"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academe", "bass", "courses", "each", "elective", "evory", "ofered", "once", "only", "rotation", "schdued", "session"], "retrieval_tags": [], "source_text": "‘Spociaization Elective Courses wl be ofered on a rotation bass. Each Specialization Elective is schdued to un only once in evory academe session, thor in Somestr 1 of Somestor 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Computer System and Network) - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Computer System and Network)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Computer System and Network)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Computer System and Network)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Computer System and Network)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Computer System and Network)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Computer System and Network)?\n\nSource chunk text:\n‘Spociaization Elective Courses wl be ofered on a rotation bass. Each Specialization Elective is schdued to un only once in evory academe session, thor in Somestr 1 of Somestor 2.\n\nKeywords: academe, bass, courses, each, elective, evory, ofered, once, only, rotation, schdued, session"}
+{"kb_id": "RAGKB-0328", "knowledge_group_id": "KG-0079", "source_chunk_id": "SC-00328", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Artificial Intelligence)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 1", "pages": [206], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0069", "UMI-0070", "UMI-0308", "UMI-0309", "UMI-0310", "UMI-0311"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "Just asking, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?"], "matched_qa_ids": ["qa_000069", "qa_000308", "qa_000309", "qa_000527", "qa_000876", "qa_000877", "qa_000878"], "grounded_answer_bank": ["The Bachelor of Computer Science (Artificial Intelligence) programme aims to produce graduates who can apply computer science knowledge together with specific Artificial Intelligence techniques to solve computer-based problems. The handbook highlights programme outcomes such as deeper AI knowledge, AI-based problem solving, design and development of intelligent systems, application of mathematics and computer science theories to AI modelling, communication and teamwork, technical innovation or entrepreneurship, professionalism, continuous personal development, and societal engagement.", "The specialization focus highlighted for Bachelor of Computer Science (Artificial Intelligence) is artificial intelligence, as reflected by the programme title and its learning-outcome emphasis."], "retrieval_keywords": ["Bachelor of Computer Science (Artificial Intelligence)", "apply", "artificial", "computer-based", "designing", "goals", "graduate attributes", "graduates", "intelligence", "knowledge", "learning", "learning outcomes", "outcomes", "problems", "programme goals", "specialization focus", "techniques"], "retrieval_tags": ["bachelor_of_computer_science_artificial_intelligence", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific Artificial Intelligence techniques to solve computer-based\nproblems, as well as having entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Artificial Intelligence) programme, graduates\ncan:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Artificial Intelligence techniques.\nApply an understanding of Artificial Intelligence domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic mathematics and computer science theories specifically Artificial\nIntelligence techniques in modelling and designing computer-based systems.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Artificial Intelligence)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- Just asking, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Artificial Intelligence) programme aims to produce graduates who can apply computer science knowledge together with specific Artificial Intelligence techniques to solve computer-based problems. The handbook highlights programme outcomes such as deeper AI knowledge, AI-based problem solving, design and development of intelligent systems, application of mathematics and computer science theories to AI modelling, communication and teamwork, technical innovation or entrepreneurship, professionalism, continuous personal development, and societal engagement.\n- The specialization focus highlighted for Bachelor of Computer Science (Artificial Intelligence) is artificial intelligence, as reflected by the programme title and its learning-outcome emphasis.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific Artificial Intelligence techniques to solve computer-based\nproblems, as well as having entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Artificial Intelligence) programme, graduates\ncan:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Artificial Intelligence techniques.\nApply an understanding of Artificial Intelligence domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic mathematics and computer science theories specifically Artificial\nIntelligence techniques in modelling and designing computer-based systems.\n\nKeywords: Bachelor of Computer Science (Artificial Intelligence), apply, artificial, computer-based, designing, goals, graduate attributes, graduates, intelligence, knowledge, learning, learning outcomes, outcomes, problems, programme goals, specialization focus, techniques"}
+{"kb_id": "RAGKB-0329", "knowledge_group_id": "KG-0079", "source_chunk_id": "SC-00329", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Artificial Intelligence)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 2", "pages": [206], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0069", "UMI-0070", "UMI-0308", "UMI-0309", "UMI-0310", "UMI-0311"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "computing", "development", "effectively", "graduates", "intelligence", "professionalism", "related", "societal", "technical", "technologies", "will"], "retrieval_tags": [], "source_text": "Communicate effectively and engage in teamwork to solve issues related to\nintelligence-based computer science.\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nArtificial Intelligence field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Artificial Intelligence to meet current and future needs (Continuous Personal\nDevelopment).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science and Artificial Intelligence (Societal Engagement).\n(1)\n(2)\n(3)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Artificial Intelligence)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nSource chunk text:\nCommunicate effectively and engage in teamwork to solve issues related to\nintelligence-based computer science.\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nArtificial Intelligence field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Artificial Intelligence to meet current and future needs (Continuous Personal\nDevelopment).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science and Artificial Intelligence (Societal Engagement).\n(1)\n(2)\n(3)\n\nKeywords: artificial, computing, development, effectively, graduates, intelligence, professionalism, related, societal, technical, technologies, will"}
+{"kb_id": "RAGKB-0330", "knowledge_group_id": "KG-0079", "source_chunk_id": "SC-00330", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Artificial Intelligence)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 3", "pages": [207], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0069", "UMI-0070", "UMI-0308", "UMI-0309", "UMI-0310", "UMI-0311"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?", "Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "Quick one: what curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Quick one: what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?"], "matched_qa_ids": ["qa_000070", "qa_000310", "qa_000311", "qa_000528", "qa_000529", "qa_000879", "qa_000880", "qa_000881"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "The curriculum is presented as a semester-by-semester study plan that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the overall pathway centered on Artificial Intelligence.", "The curriculum is shaped by core study areas such as artificial intelligence techniques, intelligent-system problem solving, algorithm and system development, mathematical and computing foundations, teamwork and communication, innovation, and professional ethics."], "retrieval_keywords": ["Bachelor of Computer Science (Artificial Intelligence)", "academic", "andivis", "code", "communication", "core study areas", "course", "course planning", "courses", "cred", "curriculum", "curriculum structure", "data", "elecive", "intelligence", "semester planning", "structure", "university"], "retrieval_tags": ["bachelor_of_computer_science_artificial_intelligence", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (ARTIFICIAL INTELLIGENCE)\nACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE UNIVERSITY COURSES GREDITS\n‘cicioz Phiosophy and Curent issu student\nGLT1049) Malay Language Communication (fer intemational studend 2\n‘GiGi013 ‘Appreciation of Ethics and Guvitzations 2\n'G1G1003 Basic Entrepreneurship Culture 2\nGLOOOC English or Communication (1) 2\n(GLb900C Engis for Communication (2) 2\n‘Go-Gurneuium (1) 2\nCo-Cumeuium 2 2\nToial 14\nCOURSE ‘CRED\nfee FACULTY CORE COURSES A\nWixt0oT ‘Computing Mathematics 3\nwiixs002 Fundamentals of Programming\n| -“woxtoos |\" Computer Systems and Omanczation 2\nWx2008 Thicking end Communication Skil :\nwixz002 Project Management 3\nTotal 17\nCODE ‘\nUniversity Elecive (Cluster 1) - Thinking Mattrs. Mand & Inelect 2\nUnwvarsiy Elecive (Clistor2)~Technobegy/Anifcal intelligence and Data 3 A\nAndivis: Techie\nUniversity Elecive (Guster 3- Global Isues.and Community 2 rn\nustamnabilty Making the Word 9 Boter Pi\nKIAR: Intogrty and Ant Corruption course 2 2\nCOURSE ‘CRED\nR\nWIAi002 Data Structure (WIX1002) 3 2", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Artificial Intelligence)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Quick one: what curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Quick one: what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- The curriculum is presented as a semester-by-semester study plan that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the overall pathway centered on Artificial Intelligence.\n- The curriculum is shaped by core study areas such as artificial intelligence techniques, intelligent-system problem solving, algorithm and system development, mathematical and computing foundations, teamwork and communication, innovation, and professional ethics.\n\nSource chunk text:\nCURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (ARTIFICIAL INTELLIGENCE)\nACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE UNIVERSITY COURSES GREDITS\n‘cicioz Phiosophy and Curent issu student\nGLT1049) Malay Language Communication (fer intemational studend 2\n‘GiGi013 ‘Appreciation of Ethics and Guvitzations 2\n'G1G1003 Basic Entrepreneurship Culture 2\nGLOOOC English or Communication (1) 2\n(GLb900C Engis for Communication (2) 2\n‘Go-Gurneuium (1) 2\nCo-Cumeuium 2 2\nToial 14\nCOURSE ‘CRED\nfee FACULTY CORE COURSES A\nWixt0oT ‘Computing Mathematics 3\nwiixs002 Fundamentals of Programming\n| -“woxtoos |\" Computer Systems and Omanczation 2\nWx2008 Thicking end Communication Skil :\nwixz002 Project Management 3\nTotal 17\nCODE ‘\nUniversity Elecive (Cluster 1) - Thinking Mattrs. Mand & Inelect 2\nUnwvarsiy Elecive (Clistor2)~Technobegy/Anifcal intelligence and Data 3 A\nAndivis: Techie\nUniversity Elecive (Guster 3- Global Isues.and Community 2 rn\nustamnabilty Making the Word 9 Boter Pi\nKIAR: Intogrty and Ant Corruption course 2 2\nCOURSE ‘CRED\nR\nWIAi002 Data Structure (WIX1002) 3 2\n\nKeywords: Bachelor of Computer Science (Artificial Intelligence), academic, andivis, code, communication, core study areas, course, course planning, courses, cred, curriculum, curriculum structure, data, elecive, intelligence, semester planning, structure, university"}
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iteliganc 3 z\nWi03015 Humoncal Analysis 3 7\nwigso04 Virtual Realty FY 6\nTotal 30", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Artificial Intelligence)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nSource chunk text:\nWwiAr003 ‘Computer Systom Achtectore GUXTOOS) 3 z\nWIAT005, Tetwork Technology Foundation rn 2\nWIA1006- Machine Leaming. 2b 2\nWIAi007 Inioduction to Data Sones 3 +\nwiazoot Database 3 2\nWiazo03 Probabity and Statistics 3 3\nWiA2004 ‘Operating Systems 4 4\nWA2005 Algorithm Design and Analysis @WWATOO2) 4 4\nWiA2006 siom Analysis and Design 3 3\nWiA2007 ‘Mobile Appication Development 4 3\nWHA3004 Ingustal Taig * 12 3\nWiA3002 Academe Project = 3 a\nWHA3003 Academe Project I NIASOOD) 3 7\nToial 39\nGee ‘SPECIALIZATION ELECTIVE COURSES (Choose only 10 courses)\nWIG2005 Internet of Things (AWIATO05) 3 4\nwioz001 Knowledge Representation and Reasonng 3 4\nwibz002 ‘Compuing Mathematics z 4\nWid2003 ‘Cognitive Science 3 4\nWiD3001 Functional nd Logis Programming 3 7\nWi3002 Tatura Language Processing z a\n“wi03007 Fuzzy Lois (aWixi001) 3 Z\nwin3010 ‘Aulonomous Robots 3 S\nWID3014 Deep Leaming zl -\nwi3012 Evolutionary Computation 3 z\n‘wins013 ‘Computer Vision and Pater Recoaniion 2 a\nwi3014 Practical Anica! iteliganc 3 z\nWi03015 Humoncal Analysis 3 7\nwigso04 Virtual Realty FY 6\nTotal 30\n\nKeywords: academe, achtectore, algorithm, analysis, anica, appication, aulonomous, awiato05, courses, design, leaming, project"}
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+{"kb_id": "RAGKB-0335", "knowledge_group_id": "KG-0079", "source_chunk_id": "SC-00335", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Artificial Intelligence)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 8", "pages": [208], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0069", "UMI-0070", "UMI-0308", "UMI-0309", "UMI-0310", "UMI-0311"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "bass", "core", "courses", "each", "elactve", "elective", "ether", "every", "excopt", "indusinal"], "retrieval_tags": [], "source_text": "Pass all Faculty and Programme Core Courses excopt fr indusinal Tring and Academic Proje I\n‘Spocaization Elective Courses wil be offered ona rotation bass. Each Specialization Elactve is scheduled lo run only once in every academic session, ether in Semester 1 or Somestor 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Artificial Intelligence) - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Artificial Intelligence)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Artificial Intelligence)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Artificial Intelligence)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Artificial Intelligence)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Artificial Intelligence)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Artificial Intelligence)?\n\nSource chunk text:\nPass all Faculty and Programme Core Courses excopt fr indusinal Tring and Academic Proje I\n‘Spocaization Elective Courses wil be offered ona rotation bass. Each Specialization Elactve is scheduled lo run only once in every academic session, ether in Semester 1 or Somestor 2.\n\nKeywords: academic, all, bass, core, courses, each, elactve, elective, ether, every, excopt, indusinal"}
+{"kb_id": "RAGKB-0336", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00336", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 1", "pages": [210], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "Ngl, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?"], "matched_qa_ids": ["qa_000071", "qa_000312", "qa_000313", "qa_000530", "qa_000882", "qa_000883", "qa_000884"], "grounded_answer_bank": ["The Bachelor of Computer Science (Information Systems) programme aims to produce graduates who can apply computer science knowledge together with Information Systems techniques to solve computer-based problems. Its outcomes emphasise wider computer science knowledge, deeper Information Systems understanding, problem solving through innovative information practices, practical system development, application of mathematics and computer science theory to Information Systems, communication, teamwork, innovation, professionalism, continuous learning, and contribution to society.", "The distinctive specialization focus is Information Systems, with deeper emphasis on Information Systems techniques for analysing information, designing solutions, and developing computer-based systems."], "retrieval_keywords": ["Bachelor of Computer Science (Information Systems)", "apply", "computer-based", "designing", "engage", "goals", "graduate attributes", "graduates", "knowledge", "learning", "learning outcomes", "outcomes", "programme goals", "solve", "specialization focus", "systems", "techniques"], "retrieval_tags": ["bachelor_of_computer_science_information_systems", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific Information Systems techniques to solve computer-based\nproblems, as well as having an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Information Systems) programme, graduates\ncan:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Information Systems techniques.\nApply an understanding of Information Systems domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic mathematics and computer science theories specifically Information\nSystems techniques in modelling and designing computer-based systems.\nCommunicate effectively and engage in teamwork to solve issues related to", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- Ngl, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Information Systems) programme aims to produce graduates who can apply computer science knowledge together with Information Systems techniques to solve computer-based problems. Its outcomes emphasise wider computer science knowledge, deeper Information Systems understanding, problem solving through innovative information practices, practical system development, application of mathematics and computer science theory to Information Systems, communication, teamwork, innovation, professionalism, continuous learning, and contribution to society.\n- The distinctive specialization focus is Information Systems, with deeper emphasis on Information Systems techniques for analysing information, designing solutions, and developing computer-based systems.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific Information Systems techniques to solve computer-based\nproblems, as well as having an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Information Systems) programme, graduates\ncan:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Information Systems techniques.\nApply an understanding of Information Systems domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic mathematics and computer science theories specifically Information\nSystems techniques in modelling and designing computer-based systems.\nCommunicate effectively and engage in teamwork to solve issues related to\n\nKeywords: Bachelor of Computer Science (Information Systems), apply, computer-based, designing, engage, goals, graduate attributes, graduates, knowledge, learning, learning outcomes, outcomes, programme goals, solve, specialization focus, systems, techniques"}
+{"kb_id": "RAGKB-0337", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00337", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 2", "pages": [210], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ability", "advance", "advanced", "computing", "development", "graduates", "professionalism", "societal", "systems", "technical", "technologies", "will"], "retrieval_tags": [], "source_text": "intelligence-based computer science.\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nInformation Systems field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Information Systems to meet current and future needs (Continuous Personal\nDevelopment).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science and Information Systems practices (Societal Engagement).\n(1)\n(2)\n(3)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nSource chunk text:\nintelligence-based computer science.\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nInformation Systems field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Information Systems to meet current and future needs (Continuous Personal\nDevelopment).\nGraduates will contribute to sustainable development and the well-being of society through\ncomputer science and Information Systems practices (Societal Engagement).\n(1)\n(2)\n(3)\n\nKeywords: ability, advance, advanced, computing, development, graduates, professionalism, societal, systems, technical, technologies, will"}
+{"kb_id": "RAGKB-0338", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00338", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 3", "pages": [211], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "matched_qa_ids": ["qa_000072", "qa_000315", "qa_000887"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "The core study areas include Information Systems techniques, innovative information practices, requirements gathering, algorithm and system development, modelling and design, teamwork and communication, innovation, continuous professional growth, and ethical computing practice."], "retrieval_keywords": ["Bachelor of Computer Science (Information Systems)", "academic", "analvties", "cluster", "code", "communication", "core study areas", "course", "course planning", "curriculum", "curriculum structure", "elecive", "english", "gldook", "systems", "thinking", "university"], "retrieval_tags": ["bachelor_of_computer_science_information_systems", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (INFORMATION SYSTEMS)\n‘ACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE\nGiGi012 Philosophy and Current ssves (for local student ont\n‘BLT 1049. ‘Malay Language Communication (fer infemational student) 2 2\nGiG1013, ‘Appreciation of Ethics and Grvzatons 2 7\n‘G1G1003 Basic Entrepreneurship Culture 2 1\n‘GLDOOK, English for Communication (1) 2 1\n(GLDOOK. English for Communication 2) 2\n‘Co-Curneuim (1) 2 2\n‘Co-Curiculum (1) 2 fl\nTota | 14\nCOURSE CODE FACULTY CORE COURSES CREDITS.\nWixtoo1 ‘Computing Mathemabes | 3 1\nwixt002 Fundamentals of Progremang, 5 i\nWwixt003 ‘Computer Systems and Organizaion 3 1\nwx2001 “Thinking end Communication Skis 3 1\n|___WIx2002_ | Project Management 3 4\nUniversiy Elecive (Custer 1)= Thinking Matters Mind & intelect 2\nUniversity Elecive (Cluster 2)~ Technology/ArticalInteligence and Data 5\nAnalvties:i-Techie\nUniversity Elective (Cluster 3- Global Issues and Communily Sustanabiiy. iz 4\nMaking the World a Better Pace\n'KIAR: integrity and Anti-Corruption course 2 2\nTotal n", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- The core study areas include Information Systems techniques, innovative information practices, requirements gathering, algorithm and system development, modelling and design, teamwork and communication, innovation, continuous professional growth, and ethical computing practice.\n\nSource chunk text:\nCURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (INFORMATION SYSTEMS)\n‘ACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE\nGiGi012 Philosophy and Current ssves (for local student ont\n‘BLT 1049. ‘Malay Language Communication (fer infemational student) 2 2\nGiG1013, ‘Appreciation of Ethics and Grvzatons 2 7\n‘G1G1003 Basic Entrepreneurship Culture 2 1\n‘GLDOOK, English for Communication (1) 2 1\n(GLDOOK. English for Communication 2) 2\n‘Co-Curneuim (1) 2 2\n‘Co-Curiculum (1) 2 fl\nTota | 14\nCOURSE CODE FACULTY CORE COURSES CREDITS.\nWixtoo1 ‘Computing Mathemabes | 3 1\nwixt002 Fundamentals of Progremang, 5 i\nWwixt003 ‘Computer Systems and Organizaion 3 1\nwx2001 “Thinking end Communication Skis 3 1\n|___WIx2002_ | Project Management 3 4\nUniversiy Elecive (Custer 1)= Thinking Matters Mind & intelect 2\nUniversity Elecive (Cluster 2)~ Technology/ArticalInteligence and Data 5\nAnalvties:i-Techie\nUniversity Elective (Cluster 3- Global Issues and Communily Sustanabiiy. iz 4\nMaking the World a Better Pace\n'KIAR: integrity and Anti-Corruption course 2 2\nTotal n\n\nKeywords: Bachelor of Computer Science (Information Systems), academic, analvties, cluster, code, communication, core study areas, course, course planning, curriculum, curriculum structure, elecive, english, gldook, systems, thinking, university"}
+{"kb_id": "RAGKB-0339", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00339", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 4", "pages": [211], "chunk_index": 4, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": ["Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "Ngl, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?"], "matched_qa_ids": ["qa_000531", "qa_000532"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan."], "retrieval_keywords": ["Bachelor of Computer Science (Information Systems)", "analysis", "appication", "code", "course", "course planning", "courses", "credits", "curriculum structure", "data", "design", "lor", "system", "systems", "tor"], "retrieval_tags": ["bachelor_of_computer_science_information_systems", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "COURSE CODE PROGRAMME CORE COURSES. CREDITS | SEMESTER.\nWIATOO! information Systems 3 7\nWiAToo2 Data Structure (#WDcTO02) 3 2\nWIATOO3 ‘Computer System Architecture (AMDCIOOS) 3 z\nWIAt005 Network Technology Foundation 4\nWIAt006. Machine Leeming 3 2\nWiazoo1 Delabaso 3 4\n| ——wiaz00s | Probabitty and Stasis 3 1\nWIA2004_ Operating Systems 4\nWiA2005 ‘Algonthm Design ond Analysis GUMATOOD) 4 2\nTWiA2006. System Analysis and Design 2 4\n‘Wiagoor- Mobile Appication Development 4 1\nWias0o1 Industial Trainng* 2 +\nTwias0o2 ‘Academic Project = 3 2\nWIA300 ‘Acodemic Project I (AIAZOO2) 5 fl\nTota | 59,\nCOURSE CODE SPECIALIZATION ELECTIVE COURSES (Choose only 70 courses) CREDITS | SEMESTER.\nTwic2008 Tafernet of Things 3 Tor?\nWiEZ001 “Trends in information Systems. = Tor\nWie 2002 “Open-Source Programming. Appication and Technolog) fe 00?)\nNE2003. introduction to Data Science 3 tor\nWIEZ005, Information Retrieval and Web Search 3 Lor\nWiE3001 ‘Advanced Database 3 or?)\nWIE3002, Elecvonic Commerce a Lor?)\nWIE3003 Information System Contol and Securh 3 Loc?)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nQuestion variants:\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- Ngl, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n\nSource chunk text:\nCOURSE CODE PROGRAMME CORE COURSES. CREDITS | SEMESTER.\nWIATOO! information Systems 3 7\nWiAToo2 Data Structure (#WDcTO02) 3 2\nWIATOO3 ‘Computer System Architecture (AMDCIOOS) 3 z\nWIAt005 Network Technology Foundation 4\nWIAt006. Machine Leeming 3 2\nWiazoo1 Delabaso 3 4\n| ——wiaz00s | Probabitty and Stasis 3 1\nWIA2004_ Operating Systems 4\nWiA2005 ‘Algonthm Design ond Analysis GUMATOOD) 4 2\nTWiA2006. System Analysis and Design 2 4\n‘Wiagoor- Mobile Appication Development 4 1\nWias0o1 Industial Trainng* 2 +\nTwias0o2 ‘Academic Project = 3 2\nWIA300 ‘Acodemic Project I (AIAZOO2) 5 fl\nTota | 59,\nCOURSE CODE SPECIALIZATION ELECTIVE COURSES (Choose only 70 courses) CREDITS | SEMESTER.\nTwic2008 Tafernet of Things 3 Tor?\nWiEZ001 “Trends in information Systems. = Tor\nWie 2002 “Open-Source Programming. Appication and Technolog) fe 00?)\nNE2003. introduction to Data Science 3 tor\nWIEZ005, Information Retrieval and Web Search 3 Lor\nWiE3001 ‘Advanced Database 3 or?)\nWIE3002, Elecvonic Commerce a Lor?)\nWIE3003 Information System Contol and Securh 3 Loc?)\n\nKeywords: Bachelor of Computer Science (Information Systems), analysis, appication, code, course, course planning, courses, credits, curriculum structure, data, design, lor, system, systems, tor"}
+{"kb_id": "RAGKB-0340", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00340", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 5", "pages": [211], "chunk_index": 5, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "analyies", "auciting", "business", "core", "courses", "data", "except", "project", "semester", "tor"], "retrieval_tags": [], "source_text": "WIE3005; Knowledge Management and Engineering 3 Tor?)\nTWE3005 Information System Auciting 3 Tor?)\nWiE3007 Data Mining and Warehousing 3 Lor?)\nWIE3010 Data Visualization 3 Tor?)\nWiE3012 ‘Business Analyies and Inligence 3 Tor?\nWiF2003 Wleb Programming 3 Tor?\nTotat | 30,\n\"TOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite,\nTaken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n® Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nSource chunk text:\nWIE3005; Knowledge Management and Engineering 3 Tor?)\nTWE3005 Information System Auciting 3 Tor?)\nWiE3007 Data Mining and Warehousing 3 Lor?)\nWIE3010 Data Visualization 3 Tor?)\nWiE3012 ‘Business Analyies and Inligence 3 Tor?\nWiF2003 Wleb Programming 3 Tor?\nTotat | 30,\n\"TOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite,\nTaken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n® Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.\n\nKeywords: academic, all, analyies, auciting, business, core, courses, data, except, project, semester, tor"}
+{"kb_id": "RAGKB-0341", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00341", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 6", "pages": [212], "chunk_index": 6, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": ["What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Quick check: what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?"], "matched_qa_ids": ["qa_000314", "qa_000885", "qa_000886"], "grounded_answer_bank": ["The curriculum pages are shown as semester-by-semester planning tables. They organize the programme by session, level or semester, and list course codes, course titles, and credits so students can see how the curriculum is structured across the study period."], "retrieval_keywords": ["Bachelor of Computer Science (Information Systems)", "academic", "agpreciaion", "ana", "analysis", "anaxtoos", "code", "communication", "communion", "course", "creas", "curriculum structure", "semester", "semester planning", "systoms"], "retrieval_tags": ["bachelor_of_computer_science_information_systems", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (INFORMATION SYSTEMS)\n‘ACADEMIC SESSION 2025/2028\nLevel | Course Code, ‘Semester? ‘Greats | | Course Code ‘Semester? ‘creas\nicEirepreneut re ‘61G1012/ | Philosophy and Curent issues focal student on |\nS210 | Deere te 2 GLT1040._| Malay Language Communication (intemationa stdert ss\nSEDO _| Eras for Communion z ‘GLDOO [Engi or Communion (2) z\nnX3001 —| Computing Mathematics | 3 WA1002 —[ Data Stucture (#N1X1002) =\n1 [wx1002—[ Fundementas of Programming 5 WiA1003—[ Computer Systom Archtecture (ANAXTOOS) 3\nWIX1003 | Computer Systoms and Organizaion 3 WA1005—[-Hotwork Technology Foundation 4\nWIA100; [Infomation Systoms E: TWint005 —| Machine Learang EI\nTot [aa Total | a8\n‘Semester ‘creas |\n'GiG1013 | Agpreciaion of Ethie and Cusizatons 2 2\n‘wx2o01 | Thinking and Communication Skis EI TWHAROOR 7\n| wrx2002 —[Proes Menanement 3] [-wnazoos I cs\n{waz001 [Database EI EI\n2 [Liwio0s —[ Probabany ana Saat E: =\n\"WiA2006—| System Analysis and Desig EI z\n\"wiA2007 | Mebile Application Develooment 4 KIAR: Ifegry and Ard Coription course 2\ncr Teta |", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nQuestion variants:\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Quick check: what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n\nGrounded answer bank:\n- The curriculum pages are shown as semester-by-semester planning tables. They organize the programme by session, level or semester, and list course codes, course titles, and credits so students can see how the curriculum is structured across the study period.\n\nSource chunk text:\n‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (INFORMATION SYSTEMS)\n‘ACADEMIC SESSION 2025/2028\nLevel | Course Code, ‘Semester? ‘Greats | | Course Code ‘Semester? ‘creas\nicEirepreneut re ‘61G1012/ | Philosophy and Curent issues focal student on |\nS210 | Deere te 2 GLT1040._| Malay Language Communication (intemationa stdert ss\nSEDO _| Eras for Communion z ‘GLDOO [Engi or Communion (2) z\nnX3001 —| Computing Mathematics | 3 WA1002 —[ Data Stucture (#N1X1002) =\n1 [wx1002—[ Fundementas of Programming 5 WiA1003—[ Computer Systom Archtecture (ANAXTOOS) 3\nWIX1003 | Computer Systoms and Organizaion 3 WA1005—[-Hotwork Technology Foundation 4\nWIA100; [Infomation Systoms E: TWint005 —| Machine Learang EI\nTot [aa Total | a8\n‘Semester ‘creas |\n'GiG1013 | Agpreciaion of Ethie and Cusizatons 2 2\n‘wx2o01 | Thinking and Communication Skis EI TWHAROOR 7\n| wrx2002 —[Proes Menanement 3] [-wnazoos I cs\n{waz001 [Database EI EI\n2 [Liwio0s —[ Probabany ana Saat E: =\n\"WiA2006—| System Analysis and Desig EI z\n\"wiA2007 | Mebile Application Develooment 4 KIAR: Ifegry and Ard Coription course 2\ncr Teta |\n\nKeywords: Bachelor of Computer Science (Information Systems), academic, agpreciaion, ana, analysis, anaxtoos, code, communication, communion, course, creas, curriculum structure, semester, semester planning, systoms"}
+{"kb_id": "RAGKB-0342", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00342", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 7", "pages": [212], "chunk_index": 7, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "clustor", "core", "course", "courses", "credits", "elecive", "elective", "project", "semester", "speciatzaton", "total"], "retrieval_tags": [], "source_text": "‘Semesiery | Greats | | Course Gage [semester creits|\n‘wias0o1 | industiel Tanna o wiasoo2 | Academe Project =\nSpecalzaten Elev @)= EI\nSpeciatzaton Elecive @)™ EI\nSpeciatzaton Eleavo 6) z\nSpecatzaten Eleaive (7) =\n‘University Elective (Clustor 1): Thinking Matto: Mind & a\n3 nttct\nUniorsfy Elecive (Custer 2): Technclogy/Arical 2\nInieligonce and Data Anais Toche\nTotal | 72, C etal [78\ncourse Cage [ ‘Semester credits |\nCo-Crcutum 2) [create |\n| winso03 Academic Prowct I caMmAGO0a ra [Unversity Courses 14\n‘Spocelzaton Elective 8)\" z Focully Core Courses ar\n4 Specielzation Elective (2)™ = Unversity Elective 8\n‘Speciation Electve 10)\" Fl [Programme Core Cou: a\nUniversty Elective (Clustor 3): Global issues and Jntzaton Elective Courses\n‘Communty Sustanobitty Making be World Better Pace |_? Sepia S iad\nTotal | 7 \"TOTAL CREDITS FOR GRADUATION | 128]\n# Provequsito\n+ Takon al Faculty and Programme Core Courses excapt Academic Project | and Academic Project\nPass all Faculty and Programme Core Courses except for industtal Training and Academic Project I", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nSource chunk text:\n‘Semesiery | Greats | | Course Gage [semester creits|\n‘wias0o1 | industiel Tanna o wiasoo2 | Academe Project =\nSpecalzaten Elev @)= EI\nSpeciatzaton Elecive @)™ EI\nSpeciatzaton Eleavo 6) z\nSpecatzaten Eleaive (7) =\n‘University Elective (Clustor 1): Thinking Matto: Mind & a\n3 nttct\nUniorsfy Elecive (Custer 2): Technclogy/Arical 2\nInieligonce and Data Anais Toche\nTotal | 72, C etal [78\ncourse Cage [ ‘Semester credits |\nCo-Crcutum 2) [create |\n| winso03 Academic Prowct I caMmAGO0a ra [Unversity Courses 14\n‘Spocelzaton Elective 8)\" z Focully Core Courses ar\n4 Specielzation Elective (2)™ = Unversity Elective 8\n‘Speciation Electve 10)\" Fl [Programme Core Cou: a\nUniversty Elective (Clustor 3): Global issues and Jntzaton Elective Courses\n‘Communty Sustanobitty Making be World Better Pace |_? Sepia S iad\nTotal | 7 \"TOTAL CREDITS FOR GRADUATION | 128]\n# Provequsito\n+ Takon al Faculty and Programme Core Courses excapt Academic Project | and Academic Project\nPass all Faculty and Programme Core Courses except for industtal Training and Academic Project I\n\nKeywords: academic, clustor, core, course, courses, credits, elecive, elective, project, semester, speciatzaton, total"}
+{"kb_id": "RAGKB-0343", "knowledge_group_id": "KG-0082", "source_chunk_id": "SC-00343", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Information Systems)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 8", "pages": [212], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0071", "UMI-0072", "UMI-0312", "UMI-0313", "UMI-0314", "UMI-0315"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "basis", "cffored", "courses", "each", "elective", "every", "once", "only", "rotation", "run", "specialization"], "retrieval_tags": [], "source_text": "‘Specialization Elective Courses wll bo cffored on a rotation basis. Each Specialization Elective fs Scheduled to run only once in every academic session, thar in Semestr 1 or Semester 2", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Information Systems) - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Information Systems)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Information Systems)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Information Systems)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Information Systems)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Information Systems)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Information Systems)?\n\nSource chunk text:\n‘Specialization Elective Courses wll bo cffored on a rotation basis. Each Specialization Elective fs Scheduled to run only once in every academic session, thar in Semestr 1 or Semester 2\n\nKeywords: academic, basis, cffored, courses, each, elective, every, once, only, rotation, run, specialization"}
+{"kb_id": "RAGKB-0344", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00344", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 1", "pages": [214, 215], "chunk_index": 1, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "Hey, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "matched_qa_ids": ["qa_000073", "qa_000316", "qa_000317", "qa_000533", "qa_000888", "qa_000889", "qa_000890", "qa_000893"], "grounded_answer_bank": ["The Bachelor of Computer Science (Software Engineering) programme aims to produce graduates who can apply computer science knowledge and software engineering techniques to solve computer-based problems. The handbook emphasises knowledge breadth, domain understanding, requirements gathering, design, implementation and evaluation of software or IT systems, application of mathematics and tools in the software development life cycle, communication, teamwork, innovation, ethics, continuous personal development, and societal engagement.", "The distinctive specialization focus is Software Engineering, with deeper emphasis on software engineering techniques for requirements gathering, system design, implementation, evaluation, and software development practice.", "The core study areas are defined by software engineering techniques, requirements gathering, software and IT-system design and implementation, software verification and evaluation, use of mathematical tools in the software development life cycle, teamwork, innovation, and professional ethics."], "retrieval_keywords": ["Bachelor of Computer Science (Software Engineering)", "apply", "core study areas", "curriculum", "effectively", "engage", "engineering", "goals", "graduate attributes", "graduates", "knowledge", "learning", "learning outcomes", "outcomes", "problems", "programme goals", "software", "solve", "specialization focus"], "retrieval_tags": ["bachelor_of_computer_science_software_engineering", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Software Engineering) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Software Engineering techniques.\nApply an understanding of Software Engineering domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in requirements gathering, designing, implementing, and evaluating\nsoftware or IT-related systems.\nAttain an ability to apply mathematical skills and/or toolset in the software\ndevelopment life cycle.\nCommunicate effectively and engage in teamwork to solve software related\nproblems.\nFunction effectively as individuals, and as a member of diverse technical teams.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- Hey, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Software Engineering) programme aims to produce graduates who can apply computer science knowledge and software engineering techniques to solve computer-based problems. The handbook emphasises knowledge breadth, domain understanding, requirements gathering, design, implementation and evaluation of software or IT systems, application of mathematics and tools in the software development life cycle, communication, teamwork, innovation, ethics, continuous personal development, and societal engagement.\n- The distinctive specialization focus is Software Engineering, with deeper emphasis on software engineering techniques for requirements gathering, system design, implementation, evaluation, and software development practice.\n- The core study areas are defined by software engineering techniques, requirements gathering, software and IT-system design and implementation, software verification and evaluation, use of mathematical tools in the software development life cycle, teamwork, innovation, and professional ethics.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Software Engineering) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Software Engineering techniques.\nApply an understanding of Software Engineering domain to solve problems by\nexploring innovative practices for acquiring and analyzing information.\nEngage in requirements gathering, designing, implementing, and evaluating\nsoftware or IT-related systems.\nAttain an ability to apply mathematical skills and/or toolset in the software\ndevelopment life cycle.\nCommunicate effectively and engage in teamwork to solve software related\nproblems.\nFunction effectively as individuals, and as a member of diverse technical teams.\n\nKeywords: Bachelor of Computer Science (Software Engineering), apply, core study areas, curriculum, effectively, engage, engineering, goals, graduate attributes, graduates, knowledge, learning, learning outcomes, outcomes, problems, programme goals, software, solve, specialization focus"}
+{"kb_id": "RAGKB-0345", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00345", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 2", "pages": [214], "chunk_index": 2, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ability", "advance", "advanced", "and/or", "development", "graduates", "profession", "societal", "society", "software", "technologies", "will"], "retrieval_tags": [], "source_text": "Initiate technical and/or societal innovation through technologies or entrepreneurship.\nPracticing high ethics in the computer science profession, especially when it comes\nto computer systems, organizations, and society.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nSoftware Engineering field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science, software development and related technologies to meet current and future\nneeds (Continuous Personal Development).\nGraduates will contribute to sustainable development and the well-being of society through\nprofessional practices (Societal Engagement).\n(1)\n(2)\n(3)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nSource chunk text:\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPracticing high ethics in the computer science profession, especially when it comes\nto computer systems, organizations, and society.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies as the\nSoftware Engineering field evolves (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science, software development and related technologies to meet current and future\nneeds (Continuous Personal Development).\nGraduates will contribute to sustainable development and the well-being of society through\nprofessional practices (Societal Engagement).\n(1)\n(2)\n(3)\n\nKeywords: ability, advance, advanced, and/or, development, graduates, profession, societal, society, software, technologies, will"}
+{"kb_id": "RAGKB-0346", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00346", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 3", "pages": [215], "chunk_index": 3, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?", "Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "Quick check: what curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?"], "matched_qa_ids": ["qa_000074", "qa_000318", "qa_000319", "qa_000534", "qa_000535"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "The curriculum is shown as a semester-by-semester structure that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Software Engineering.", "The core study areas are defined by software engineering techniques, requirements gathering, software and IT-system design and implementation, software verification and evaluation, use of mathematical tools in the software development life cycle, teamwork, innovation, and professional ethics."], "retrieval_keywords": ["Bachelor of Computer Science (Software Engineering)", "academic", "analytics", "appreciation", "bachelor", "basic", "code", "communication", "core study areas", "course", "course planning", "courses", "curriculum", "curriculum structure", "elective", "semester planning", "thinking", "university"], "retrieval_tags": ["bachelor_of_computer_science_software_engineering", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "‘CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (SOFTWARE ENGINEERING)\nACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE “UNIVERSITY COURSES crepits | SEMESTER\nGIG1012 Philosophy and Current Issues (for /ocal student only)\nGLT1049. ‘Malay Language Communication (for intemational student) 2 2\n(GiG1013 ‘Appreciation of Ethics and Gvilzations 2 7\nGIG1003. Basic Enirepreneurship Culture 2 1\n[LOOK Enalsh for Communication (1) 2 1\nLDOOK, English for Communication 2) 2 2\n[Co-Curiculum (1) 2 2\n‘Co-Curricutum 2) 2 ‘1\nTota | 14\n‘COURSE CODE FACULTY CORE ‘CREDITS,\nwixt001 ‘Computing Mathematics | 3 1\nWwix1002, Fundamentals of Programming 5 1\nTwixt003 ‘Computer Systoms and Organization 3 1\nwix2001 Thinking and Communication Skis 3 +\nwix7002 Project Management 3 +\nTeta | 17,\nEXTERNAL UNIVERSITY ELECTIVE COURSES\nCOURSE cone! STUDENT HOLISTIC EMPOWERMENT (SHE) (eats || Eo ee\nUniversi Elective (Cluster 1) = Thinking Matters: Mind & Intellect 2\nUniversity Elective (Cluster2) - Technology/AriftalIntoligence and Data = 3\nAnalytics: i Tectio.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- Quick check: what curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- The curriculum is shown as a semester-by-semester structure that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Software Engineering.\n- The core study areas are defined by software engineering techniques, requirements gathering, software and IT-system design and implementation, software verification and evaluation, use of mathematical tools in the software development life cycle, teamwork, innovation, and professional ethics.\n\nSource chunk text:\n‘CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (SOFTWARE ENGINEERING)\nACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT\nCOURSE CODE “UNIVERSITY COURSES crepits | SEMESTER\nGIG1012 Philosophy and Current Issues (for /ocal student only)\nGLT1049. ‘Malay Language Communication (for intemational student) 2 2\n(GiG1013 ‘Appreciation of Ethics and Gvilzations 2 7\nGIG1003. Basic Enirepreneurship Culture 2 1\n[LOOK Enalsh for Communication (1) 2 1\nLDOOK, English for Communication 2) 2 2\n[Co-Curiculum (1) 2 2\n‘Co-Curricutum 2) 2 ‘1\nTota | 14\n‘COURSE CODE FACULTY CORE ‘CREDITS,\nwixt001 ‘Computing Mathematics | 3 1\nWwix1002, Fundamentals of Programming 5 1\nTwixt003 ‘Computer Systoms and Organization 3 1\nwix2001 Thinking and Communication Skis 3 +\nwix7002 Project Management 3 +\nTeta | 17,\nEXTERNAL UNIVERSITY ELECTIVE COURSES\nCOURSE cone! STUDENT HOLISTIC EMPOWERMENT (SHE) (eats || Eo ee\nUniversi Elective (Cluster 1) = Thinking Matters: Mind & Intellect 2\nUniversity Elective (Cluster2) - Technology/AriftalIntoligence and Data = 3\nAnalytics: i Tectio.\n\nKeywords: Bachelor of Computer Science (Software Engineering), academic, analytics, appreciation, bachelor, basic, code, communication, core study areas, course, course planning, courses, curriculum, curriculum structure, elective, semester planning, thinking, university"}
+{"kb_id": "RAGKB-0347", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00347", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 4", "pages": [215], "chunk_index": 4, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": ["Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Low-key, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?"], "matched_qa_ids": ["qa_000891", "qa_000892"], "grounded_answer_bank": ["The curriculum is shown as a semester-by-semester structure that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Software Engineering."], "retrieval_keywords": ["Bachelor of Computer Science (Software Engineering)", "academic", "agonithm", "analysis", "anti-corruption", "application", "courses", "curriculum structure", "design", "elective", "lor", "project", "semester planning", "software", "tor"], "retrieval_tags": ["bachelor_of_computer_science_software_engineering", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "University Elective (Cluster 3) - Global Issues and Community Sustainability: 1\nMaking the Weld a Better Place\n\"KIAR: Integnity and Anti-Corruption Ouse Zz\nIs 8\nPROGRAMME CORE COURSES: | SEMESTER |\nWiA1002, Data Structure (aWIX1002) 5\nWIA1003, ‘Computer System Archtecture (@WIXT003) 3\nWIA1005, Network Technology Foundation 4 2\nWIA1006, Machine Learning 3 2\nWiA2001 Database FI 1\nWIA2002, Software Modeting 3 1\nWiA200%. Probabilfy and StoiStES 3 1\n‘WiA2004 ‘Operating Systems. 4 2\nWIA2005, ‘Agonithm Design and Analysis (AWATOO2) 4 2\nTWiazoor- Mobile Application Development 4 fl\nWiA2010 Human Computer Interaction 53 +\nWiA300t Indusval Training 2 1\nTWiAs0o2 ‘Academic Project = 3 2\nWIA3008. ‘Academic Project IT GWIASOO2) 5 i\nTota | 39\n‘COURSE CODE \"SPECIALIZATION ELECTIVE COURSES (Choose only 70 courses) | CREDITS\nWiEZ002 Sofware Requirements Engineering 3 or?\nWIEZ003. ‘Web Programming 3 “Lor?\nWiF3001 Software Testing 3 Tor?\nWIF3002 ‘Software Process and Quali {3 Tor?\nWIE3004 Software Architeclure and Design Paradigms (AWIAZ002) 3 “Lor?\nWIE3005, Software Maintenance and Evolution 3 Tor?)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nQuestion variants:\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Low-key, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n\nGrounded answer bank:\n- The curriculum is shown as a semester-by-semester structure that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Software Engineering.\n\nSource chunk text:\nUniversity Elective (Cluster 3) - Global Issues and Community Sustainability: 1\nMaking the Weld a Better Place\n\"KIAR: Integnity and Anti-Corruption Ouse Zz\nIs 8\nPROGRAMME CORE COURSES: | SEMESTER |\nWiA1002, Data Structure (aWIX1002) 5\nWIA1003, ‘Computer System Archtecture (@WIXT003) 3\nWIA1005, Network Technology Foundation 4 2\nWIA1006, Machine Learning 3 2\nWiA2001 Database FI 1\nWIA2002, Software Modeting 3 1\nWiA200%. Probabilfy and StoiStES 3 1\n‘WiA2004 ‘Operating Systems. 4 2\nWIA2005, ‘Agonithm Design and Analysis (AWATOO2) 4 2\nTWiazoor- Mobile Application Development 4 fl\nWiA2010 Human Computer Interaction 53 +\nWiA300t Indusval Training 2 1\nTWiAs0o2 ‘Academic Project = 3 2\nWIA3008. ‘Academic Project IT GWIASOO2) 5 i\nTota | 39\n‘COURSE CODE \"SPECIALIZATION ELECTIVE COURSES (Choose only 70 courses) | CREDITS\nWiEZ002 Sofware Requirements Engineering 3 or?\nWIEZ003. ‘Web Programming 3 “Lor?\nWiF3001 Software Testing 3 Tor?\nWIF3002 ‘Software Process and Quali {3 Tor?\nWIE3004 Software Architeclure and Design Paradigms (AWIAZ002) 3 “Lor?\nWIE3005, Software Maintenance and Evolution 3 Tor?)\n\nKeywords: Bachelor of Computer Science (Software Engineering), academic, agonithm, analysis, anti-corruption, application, courses, curriculum structure, design, elective, lor, project, semester planning, software, tor"}
+{"kb_id": "RAGKB-0348", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00348", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 5", "pages": [215], "chunk_index": 5, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "based", "component", "core", "courses", "except", "lor", "project", "semester", "tor", "total"], "retrieval_tags": [], "source_text": "WiE3006. ‘Component Based Software Engineering (@WIA2002) [3 or?\nWiE3008: Real Time Systems. 3 or?\nWIE3009. Python for Scientific Computing 3 Tor?)\nWiE3010 Programming Language Paradigm 3 “Lor?\nWIESoTT ‘Concurrent and Parallel Proaramming (@WIX1002) (RWIAZ004) 3 Lor?\nWiG3005 ‘Game Development 3 Tor?\nWic2006- Internet of Things @VWATOOS) 3 or?\nTotal | 30\nTOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite\n‘Taken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\n** Pass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n© Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nSource chunk text:\nWiE3006. ‘Component Based Software Engineering (@WIA2002) [3 or?\nWiE3008: Real Time Systems. 3 or?\nWIE3009. Python for Scientific Computing 3 Tor?)\nWiE3010 Programming Language Paradigm 3 “Lor?\nWIESoTT ‘Concurrent and Parallel Proaramming (@WIX1002) (RWIAZ004) 3 Lor?\nWiG3005 ‘Game Development 3 Tor?\nWic2006- Internet of Things @VWATOOS) 3 or?\nTotal | 30\nTOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite\n‘Taken all Faculty and Programme Core Courses except Academic Project | and Academic Project I\n** Pass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n© Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.\n\nKeywords: academic, all, based, component, core, courses, except, lor, project, semester, tor, total"}
+{"kb_id": "RAGKB-0349", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00349", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 6", "pages": [216], "chunk_index": 6, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "agari", "aggrocaton", "amato", "anetooo", "ani", "ant", "code", "communication", "course", "semester", "systems"], "retrieval_tags": [], "source_text": "‘COURSE PLANNING FOR BACHELOR OF SOFTWARE ENGINEERING\n\"ACADEMIC SESSION 20252028\n[Revel | Course Code [Semester\n{GIO12/ | Phiosophy and Curent ses (roca student oni)\nSe 2 Giiiow | Kner arauao Conmuncatontor ntanatnal siden) | 2\nEnaish for Communication (1) 2 } English for Communscation (2)\nWixioor —| coming Mahemates | s Wia 002 —[ Data Stucke GRNXI002) =\n1 [Peitacooa Trtmentats of Progaming = Wh 003 — | Compute Syste Artec (ANETOOO) =\n1003 —| Congutes Systems and Oren aon Wwat0os —[ Hetwor Teology Foundation r\nyn2o10 | Hunan Conga ira EI waioos —[ Mache earn\nTea = Tata rn\n‘Semester [Feourse Code [Semester Treats |\nGIGTO1S | Aggrocaton of Ees and Crvzatons 2 o-Garncaum 2\nWwix2001 | Tanking and Communication Sis = WOOT — | Operating Systems r\nwixz002 | Pret Wanagement FI WiA2005 —[ Agari Dssen and Ani (AMATO) ry\nWiazoot —| Dalsace z1 Spocsleaion oes 1)\" 3\nWwia2002 —| Sofware tng > ‘Specaliabon Elecbve 2) =\n$ WiA2003 | Probability and Statistics 3 ‘Spocializabon Elective (3) = EI\nWA2007 —| Nobile Appteaton Development n TIAR Integr and Ant Corgan oa 2\nTotal Fa Taal Fa", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nSource chunk text:\n‘COURSE PLANNING FOR BACHELOR OF SOFTWARE ENGINEERING\n\"ACADEMIC SESSION 20252028\n[Revel | Course Code [Semester\n{GIO12/ | Phiosophy and Curent ses (roca student oni)\nSe 2 Giiiow | Kner arauao Conmuncatontor ntanatnal siden) | 2\nEnaish for Communication (1) 2 } English for Communscation (2)\nWixioor —| coming Mahemates | s Wia 002 —[ Data Stucke GRNXI002) =\n1 [Peitacooa Trtmentats of Progaming = Wh 003 — | Compute Syste Artec (ANETOOO) =\n1003 —| Congutes Systems and Oren aon Wwat0os —[ Hetwor Teology Foundation r\nyn2o10 | Hunan Conga ira EI waioos —[ Mache earn\nTea = Tata rn\n‘Semester [Feourse Code [Semester Treats |\nGIGTO1S | Aggrocaton of Ees and Crvzatons 2 o-Garncaum 2\nWwix2001 | Tanking and Communication Sis = WOOT — | Operating Systems r\nwixz002 | Pret Wanagement FI WiA2005 —[ Agari Dssen and Ani (AMATO) ry\nWiazoot —| Dalsace z1 Spocsleaion oes 1)\" 3\nWwia2002 —| Sofware tng > ‘Specaliabon Elecbve 2) =\n$ WiA2003 | Probability and Statistics 3 ‘Spocializabon Elective (3) = EI\nWA2007 —| Nobile Appteaton Development n TIAR Integr and Ant Corgan oa 2\nTotal Fa Taal Fa\n\nKeywords: academic, agari, aggrocaton, amato, anetooo, ani, ant, code, communication, course, semester, systems"}
+{"kb_id": "RAGKB-0350", "knowledge_group_id": "KG-0084", "source_chunk_id": "SC-00350", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Software Engineering)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 7", "pages": [216], "chunk_index": 7, "group_size_chunks": 7, "group_size_qas": 15, "linked_index_ids": ["UMI-0073", "UMI-0074", "UMI-0316", "UMI-0317", "UMI-0318", "UMI-0319"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "anayics", "code", "core", "course", "courses", "elective", "project", "semester", "specialization", "tear"], "retrieval_tags": [], "source_text": "Course Code Semester Greats | |Tcourse cose Semeer? Crea\nWiAxor | indus rang 2 WiAs002 | Asadomis Poppa 3\n$pecializaton Elective (4) 2\nSpecialization Elective (5)~\n[Seocaizaton Locto (6)=\nSoecalzaton Elect (= rT\nfi UnwvoratyElecve (Cluster 1 Thing Matis Me & :\nbriotet\nUnwersty Elec (Chater 2) TecinohaAihaar 7\nintgancs and Daa Anayics Teche.\nTear = or 7s\nCourse Code Semester 1 Credit Distribution |\nCo-Gumeum 2 2 ‘Coue Component Create\nSCT 5 [om it\nSpeciation Elective 8) = Fac Core Cours 7\nSpecialization Elective 9) zy Unneraty Ect Cou n\n4 Specialization Elective (10) *_ 3 | Prooramme Core Courses 2\nUnveraty Echo (Custer 9; Global eves and 2 ‘SpecelaatonElectve Courses * 20\nTear = \"TOTAL CREDITS FOR GRADUATION. 7\nProrequiste\n“Taken al Fecuty and Programme Core Courses excopt Academic Project | and Academic Project I\nPass all Facalty and Programme Core Courses excep er Indust Training and Academic Projoc I\n‘Specialization Bc Courses willbe offered on a rolaton bass Each Specialzalion lace ts scheduled fo run cry once every academic session, ether n Semester 1 or Semester 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Software Engineering) - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Software Engineering)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Software Engineering)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Software Engineering)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Software Engineering)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Software Engineering)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Software Engineering)?\n\nSource chunk text:\nCourse Code Semester Greats | |Tcourse cose Semeer? Crea\nWiAxor | indus rang 2 WiAs002 | Asadomis Poppa 3\n$pecializaton Elective (4) 2\nSpecialization Elective (5)~\n[Seocaizaton Locto (6)=\nSoecalzaton Elect (= rT\nfi UnwvoratyElecve (Cluster 1 Thing Matis Me & :\nbriotet\nUnwersty Elec (Chater 2) TecinohaAihaar 7\nintgancs and Daa Anayics Teche.\nTear = or 7s\nCourse Code Semester 1 Credit Distribution |\nCo-Gumeum 2 2 ‘Coue Component Create\nSCT 5 [om it\nSpeciation Elective 8) = Fac Core Cours 7\nSpecialization Elective 9) zy Unneraty Ect Cou n\n4 Specialization Elective (10) *_ 3 | Prooramme Core Courses 2\nUnveraty Echo (Custer 9; Global eves and 2 ‘SpecelaatonElectve Courses * 20\nTear = \"TOTAL CREDITS FOR GRADUATION. 7\nProrequiste\n“Taken al Fecuty and Programme Core Courses excopt Academic Project | and Academic Project I\nPass all Facalty and Programme Core Courses excep er Indust Training and Academic Projoc I\n‘Specialization Bc Courses willbe offered on a rolaton bass Each Specialzalion lace ts scheduled fo run cry once every academic session, ether n Semester 1 or Semester 2.\n\nKeywords: academic, all, anayics, code, core, course, courses, elective, project, semester, specialization, tear"}
+{"kb_id": "RAGKB-0351", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00351", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 1", "pages": [218], "chunk_index": 1, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "BTW, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?"], "matched_qa_ids": ["qa_000075", "qa_000320", "qa_000321", "qa_000323", "qa_000536", "qa_000894", "qa_000895"], "grounded_answer_bank": ["The Bachelor of Computer Science (Multimedia Computing) programme aims to produce graduates who can apply computer science knowledge and multimedia computing techniques to solve computer-based problems. The outcomes focus on broad computing knowledge with deeper multimedia understanding, practical problem solving and system development, use of mathematical and computing foundations, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through multimedia computing practices.", "The distinctive specialization focus is Multimedia Computing, with deeper emphasis on multimedia computing techniques within a broader computer science foundation.", "The core study areas include multimedia computing techniques, practical problem solving and system development, computing and mathematical foundations, communication and teamwork, innovation, continuous professional development, and ethical practice in computing."], "retrieval_keywords": ["Bachelor of Computer Science (Multimedia Computing)", "apply", "computer-based", "computing", "core study areas", "curriculum", "designing", "engage", "goals", "graduate attributes", "graduates", "intelligence-based", "knowledge", "learning", "learning outcomes", "programme goals", "solve", "specialization focus", "techniques"], "retrieval_tags": ["bachelor_of_computer_science_multimedia_computing", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Multimedia Computing) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Multimedia Computing techniques.\nApply an understanding of Computer Science domain to solve problems by exploring\ninnovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic Mathematics and computer science theories specifically techniques in\nmodelling and designing computer-based systems.\nCommunicate effectively and engage in a teamwork to solve issues related to\nintelligence-based computer science.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- BTW, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Multimedia Computing) programme aims to produce graduates who can apply computer science knowledge and multimedia computing techniques to solve computer-based problems. The outcomes focus on broad computing knowledge with deeper multimedia understanding, practical problem solving and system development, use of mathematical and computing foundations, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through multimedia computing practices.\n- The distinctive specialization focus is Multimedia Computing, with deeper emphasis on multimedia computing techniques within a broader computer science foundation.\n- The core study areas include multimedia computing techniques, practical problem solving and system development, computing and mathematical foundations, communication and teamwork, innovation, continuous professional development, and ethical practice in computing.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who are able to apply the knowledge and skills gained in the field\nof Computer Science and apply specific techniques to solve computer-based problems, as well as\nhaving an entrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Multimedia Computing) programme,\ngraduates can:\nPO1\nAcquire a wider breadth of knowledge in computer science areas and a deeper\nunderstanding of Multimedia Computing techniques.\nApply an understanding of Computer Science domain to solve problems by exploring\ninnovative practices for acquiring and analyzing information.\nEngage in practical solutions, which involves requirements gathering, designing, and\ndeveloping algorithms and intelligence-based systems.\nApply basic Mathematics and computer science theories specifically techniques in\nmodelling and designing computer-based systems.\nCommunicate effectively and engage in a teamwork to solve issues related to\nintelligence-based computer science.\n\nKeywords: Bachelor of Computer Science (Multimedia Computing), apply, computer-based, computing, core study areas, curriculum, designing, engage, goals, graduate attributes, graduates, intelligence-based, knowledge, learning, learning outcomes, programme goals, solve, specialization focus, techniques"}
+{"kb_id": "RAGKB-0352", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00352", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 2", "pages": [218], "chunk_index": 2, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": ["Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "matched_qa_ids": ["qa_000896", "qa_000899"], "grounded_answer_bank": ["The Bachelor of Computer Science (Multimedia Computing) programme aims to produce graduates who can apply computer science knowledge and multimedia computing techniques to solve computer-based problems. The outcomes focus on broad computing knowledge with deeper multimedia understanding, practical problem solving and system development, use of mathematical and computing foundations, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through multimedia computing practices.", "The core study areas include multimedia computing techniques, practical problem solving and system development, computing and mathematical foundations, communication and teamwork, innovation, continuous professional development, and ethical practice in computing."], "retrieval_keywords": ["Bachelor of Computer Science (Multimedia Computing)", "ability", "advance", "advanced", "computing", "core study areas", "curriculum", "development", "graduate attributes", "graduates", "learning outcomes", "multimedia", "professionalism", "societal", "technical", "technologies", "will"], "retrieval_tags": ["bachelor_of_computer_science_multimedia_computing", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "Works effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies along with the\nevolution of the field of Multimedia Computing (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Multimedia Computing to meet current and future needs (Continuous\nPersonal Development).\nGraduates will contribute to sustainable development and the well-being of society through the\npractices of computer science and Multimedia Computing (Societal Engagement).\n(1)\n(2)\n(3)", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nQuestion variants:\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Multimedia Computing) programme aims to produce graduates who can apply computer science knowledge and multimedia computing techniques to solve computer-based problems. The outcomes focus on broad computing knowledge with deeper multimedia understanding, practical problem solving and system development, use of mathematical and computing foundations, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through multimedia computing practices.\n- The core study areas include multimedia computing techniques, practical problem solving and system development, computing and mathematical foundations, communication and teamwork, innovation, continuous professional development, and ethical practice in computing.\n\nSource chunk text:\nWorks effectively as individuals, and as a member of various technical teams.\nInitiate technical and/or societal innovation through technologies or entrepreneurship.\nPractice professionalism and ethics in executing tasks related to computing.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates will demonstrate their ability to advance their careers in the computing profession, and\nwill be engaged in learning, understanding, and applying new ideas and technologies along with the\nevolution of the field of Multimedia Computing (Professionalism).\nGraduates will have continuously advanced their knowledge, and improved competency in\ncomputer science and Multimedia Computing to meet current and future needs (Continuous\nPersonal Development).\nGraduates will contribute to sustainable development and the well-being of society through the\npractices of computer science and Multimedia Computing (Societal Engagement).\n(1)\n(2)\n(3)\n\nKeywords: Bachelor of Computer Science (Multimedia Computing), ability, advance, advanced, computing, core study areas, curriculum, development, graduate attributes, graduates, learning outcomes, multimedia, professionalism, societal, technical, technologies, will"}
+{"kb_id": "RAGKB-0353", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00353", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 3", "pages": [219], "chunk_index": 3, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "Hey, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "So basically, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?"], "matched_qa_ids": ["qa_000076", "qa_000322", "qa_000537", "qa_000538", "qa_000897", "qa_000898"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "The curriculum is presented as a semester-by-semester plan that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Multimedia Computing."], "retrieval_keywords": ["Bachelor of Computer Science (Multimedia Computing)", "academic", "basic", "code", "communication", "computing", "course", "course planning", "courses", "curriculum structure", "elective", "semester", "semester planning", "thinking", "total", "university"], "retrieval_tags": ["bachelor_of_computer_science_multimedia_computing", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (MULTIMEDIA COMPUTING)\n‘ACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT.\n‘COURSE CODE Si esea OU creoits | SEMESTER\nGIG1012 Phiosophy and Current Issues (for local student only)\nGLT1049 Basic Malay Language (for infemational student) a 2\nGIGI013 ‘Appreciation of Ethics and Civilizations 2 7\n‘GIG1003 Basic Entrepreneurship Culture 2 1\nGLDOOK Enaiish for Communication 1) 4\nGLDOXX English for Communication 2) 2 2\n(Co-Curriculum (1), 2 2\n(Co-Curmculum 2) 2 1\nTotal 14\n‘COURSE CODE, FACULTY CORE COURSES CREDITS | SEMESTER\nWIX1001 ‘Computing Mathematics | 3 1\nWix1002, Fundamentals of Programming 5 1\nWix1003 ‘Computer Systems and Organization. 3 1\nWix2001 Thinking and Communication Skils, 3 1\nwix2002 Project Management 3 1\nTotal a7\nEXTERNAL UNIVERSITY ELECTIVE COURSES\nRISE OVE! ‘STUDENT HOLISTIC EMPOWERMENT (SHE) ESTE | [SEMESTER\n‘University Elective (Gluster 1)- Thinking Matters: Mnd & intellect\nUniversity Elective (Cluster 2) Technology/Artiical inteligence and Data\nAnalytics: Techie", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- Hey, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- So basically, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- The curriculum is presented as a semester-by-semester plan that combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the pathway centered on Multimedia Computing.\n\nSource chunk text:\nCURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (MULTIMEDIA COMPUTING)\n‘ACADEMIC SESSION 2025/2026\n‘COURSE COMPONENT.\n‘COURSE CODE Si esea OU creoits | SEMESTER\nGIG1012 Phiosophy and Current Issues (for local student only)\nGLT1049 Basic Malay Language (for infemational student) a 2\nGIGI013 ‘Appreciation of Ethics and Civilizations 2 7\n‘GIG1003 Basic Entrepreneurship Culture 2 1\nGLDOOK Enaiish for Communication 1) 4\nGLDOXX English for Communication 2) 2 2\n(Co-Curriculum (1), 2 2\n(Co-Curmculum 2) 2 1\nTotal 14\n‘COURSE CODE, FACULTY CORE COURSES CREDITS | SEMESTER\nWIX1001 ‘Computing Mathematics | 3 1\nWix1002, Fundamentals of Programming 5 1\nWix1003 ‘Computer Systems and Organization. 3 1\nWix2001 Thinking and Communication Skils, 3 1\nwix2002 Project Management 3 1\nTotal a7\nEXTERNAL UNIVERSITY ELECTIVE COURSES\nRISE OVE! ‘STUDENT HOLISTIC EMPOWERMENT (SHE) ESTE | [SEMESTER\n‘University Elective (Gluster 1)- Thinking Matters: Mnd & intellect\nUniversity Elective (Cluster 2) Technology/Artiical inteligence and Data\nAnalytics: Techie\n\nKeywords: Bachelor of Computer Science (Multimedia Computing), academic, basic, code, communication, computing, course, course planning, courses, curriculum structure, elective, semester, semester planning, thinking, total, university"}
+{"kb_id": "RAGKB-0354", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00354", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 4", "pages": [219], "chunk_index": 4, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "analysis", "atau", "code", "course", "courses", "credits", "design", "elective", "multimedia", "project", "total"], "retrieval_tags": [], "source_text": "University Elective (Cluster 3 - Global Issues and Community Sustainability. 2 i\nMaking the World a Better Place\nKIAR: Integrity and Anti-Corruption course. 2 2\nTotal 3\n(COURSE CODE, PROGRAMME CORE COURSES: ‘CREDITS:\nWiat002 Data Structure (AWIX1002) $\nWIA1003 ‘Computer Systom Architecture GAWIX1003) 3\nWIA 100 Network Technology Foundation 4\nWiA1006 Machine Leaming a\nWiA1008 Fundamental of Multimedia 3\nWiA2001 Database 3\nWiA2003, Probabilly and Stalistics 3\nWiA2004 ‘Operating Systems. 4\nWIA2005 ‘Aigonithm Design and Analysis (AWATOO2) 4\nWIA2006 ‘System Analysis and Design 3\nWIA2007 Mobile Application Development 4\nWiA3001 Industrial Training * az\nWiA3002 ‘Academic Project 3\nWiA3003, ‘Academic Project I @WIAIO02) 5\nTotal 59\n(COURSE CODE, ‘SPECIALIZATION ELECTIVE COURSES (Choose only 10courses) | CREDITS | SEMESTER\nWiG2001 Diaital image Processing 2 atau 2.\nwiG2002 ‘Computer Graphics 3 atau 2\nwiG2004 Audio Synthesis. 2 atau 2\nWiG200 Interactive Design 3 “atau\nWIG3001 Mathematics for Multimedia B atau 2\nWiG3002 Rendering and Animation 3 “atau 2\nWIG3003 Multimedia Programming 3 atau 2", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nSource chunk text:\nUniversity Elective (Cluster 3 - Global Issues and Community Sustainability. 2 i\nMaking the World a Better Place\nKIAR: Integrity and Anti-Corruption course. 2 2\nTotal 3\n(COURSE CODE, PROGRAMME CORE COURSES: ‘CREDITS:\nWiat002 Data Structure (AWIX1002) $\nWIA1003 ‘Computer Systom Architecture GAWIX1003) 3\nWIA 100 Network Technology Foundation 4\nWiA1006 Machine Leaming a\nWiA1008 Fundamental of Multimedia 3\nWiA2001 Database 3\nWiA2003, Probabilly and Stalistics 3\nWiA2004 ‘Operating Systems. 4\nWIA2005 ‘Aigonithm Design and Analysis (AWATOO2) 4\nWIA2006 ‘System Analysis and Design 3\nWIA2007 Mobile Application Development 4\nWiA3001 Industrial Training * az\nWiA3002 ‘Academic Project 3\nWiA3003, ‘Academic Project I @WIAIO02) 5\nTotal 59\n(COURSE CODE, ‘SPECIALIZATION ELECTIVE COURSES (Choose only 10courses) | CREDITS | SEMESTER\nWiG2001 Diaital image Processing 2 atau 2.\nwiG2002 ‘Computer Graphics 3 atau 2\nwiG2004 Audio Synthesis. 2 atau 2\nWiG200 Interactive Design 3 “atau\nWIG3001 Mathematics for Multimedia B atau 2\nWiG3002 Rendering and Animation 3 “atau 2\nWIG3003 Multimedia Programming 3 atau 2\n\nKeywords: academic, analysis, atau, code, course, courses, credits, design, elective, multimedia, project, total"}
+{"kb_id": "RAGKB-0355", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00355", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 5", "pages": [219], "chunk_index": 5, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "academie", "all", "atau", "core", "courses", "credits", "data", "development", "except", "project", "total"], "retrieval_tags": [], "source_text": "WIG3004 ‘Virtual Reality 3 atau 2\nWIG3005 ‘Game Development 3 atau 2\nWIG3006. Digital Video Processing 3 ‘Letau 2\nWIG3007 ‘Special Topics in Multimedia 3 “atau 2\nWIG3008 ‘Mulimedia Forensic and Secariy 3 atau 2\nWIE3010, Data Visualization 3 atau 2\nWiF2003 ‘Web Programming 3 Tetau 2\nTotal 30\nTOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite\n* Taken all Faculty and Programme Core Courses except Academic Project | and Academie Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nSource chunk text:\nWIG3004 ‘Virtual Reality 3 atau 2\nWIG3005 ‘Game Development 3 atau 2\nWIG3006. Digital Video Processing 3 ‘Letau 2\nWIG3007 ‘Special Topics in Multimedia 3 “atau 2\nWIG3008 ‘Mulimedia Forensic and Secariy 3 atau 2\nWIE3010, Data Visualization 3 atau 2\nWiF2003 ‘Web Programming 3 Tetau 2\nTotal 30\nTOTAL CREDITS FOR GRADUATION | 128\n# Prerequisite\n* Taken all Faculty and Programme Core Courses except Academic Project | and Academie Project I\nPass all Faculty and Programme Core Courses except for Industrial Training and Academic Project I\n\nKeywords: academic, academie, all, atau, core, courses, credits, data, development, except, project, total"}
+{"kb_id": "RAGKB-0356", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00356", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 6", "pages": [220], "chunk_index": 6, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "adetoos", "aljntim", "anais", "code", "communication", "course", "design", "multimedia", "semester", "system", "systems"], "retrieval_tags": [], "source_text": "‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (MULTIMEDIA COMPUTING)\n\"ACADEMIC SESSION 2025/2026\n[Revel | Course Code | \"Semester credits | ourse Code |\ncrciom | Bese enteprenausie Cute ‘xct012/ | Pesorhy and Gaent ses tr tent ri Bask\ntia . 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TWA1003_—| Computer System Archaocture (ADETOOS)\nWix1003 [Computer Systems and Organzaton TWA1005 | Network Technology Founsate\nWiA008 —| Fundamental of Multimedia Wiat006 | Machine Learning\nTotal | 8\n‘Semester\n“<iGi013 | Apprecaton of Ethics and Guiizalons\n| Course Code | Semester2 Treats |\n‘Co-Cumiesm i\nWwixz001 | Thnlang ane Communication Sls TWHATOGE_| Operating systems\nWix7002 | Provect Management 1WAZ005 | Aljntim Design and Anais (@NTATOOD\nWwiaz0ot —| Database.\nWia2003 —| Probabaty and Satan ‘Specalzaton Elective 2)\"\n2 | wir200e [System Aneiyss and Design ‘Spoctatzaton Elocive 3)\"\nq\nr\nrn", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nSource chunk text:\n‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (MULTIMEDIA COMPUTING)\n\"ACADEMIC SESSION 2025/2026\n[Revel | Course Code | \"Semester credits | ourse Code |\ncrciom | Bese enteprenausie Cute ‘xct012/ | Pesorhy and Gaent ses tr tent ri Bask\ntia . GLT1049 Malay Language (for intenatonal student)\n‘SCHOO _| Engin for Communication ‘GLOOX | Engish for Communtcaton (2\nWwix1001 | Compusng Matberatcs L \"WA1002 —[ ata Stucisre UNVIXIO2)\n1 [iinct0o2 [Fundamentals of Programing. TWA1003_—| Computer System Archaocture (ADETOOS)\nWix1003 [Computer Systems and Organzaton TWA1005 | Network Technology Founsate\nWiA008 —| Fundamental of Multimedia Wiat006 | Machine Learning\nTotal | 8\n‘Semester\n“<iGi013 | Apprecaton of Ethics and Guiizalons\n| Course Code | Semester2 Treats |\n‘Co-Cumiesm i\nWwixz001 | Thnlang ane Communication Sls TWHATOGE_| Operating systems\nWix7002 | Provect Management 1WAZ005 | Aljntim Design and Anais (@NTATOOD\nWwiaz0ot —| Database.\nWia2003 —| Probabaty and Satan ‘Specalzaton Elective 2)\"\n2 | wir200e [System Aneiyss and Design ‘Spoctatzaton Elocive 3)\"\nq\nr\nrn\n\nKeywords: academic, adetoos, aljntim, anais, code, communication, course, design, multimedia, semester, system, systems"}
+{"kb_id": "RAGKB-0357", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00357", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 7", "pages": [220], "chunk_index": 7, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "cluster", "code", "core", "course", "courses", "elecivo", "elective", "semester", "specialization", "tota", "university"], "retrieval_tags": [], "source_text": "‘Spocelzaton Elecivo (1) = x\nz\nWwiaz007 | Mobi Appcation Development KAR: Infegrty and Ants Cornapton course\nz\nEI\nrT\nEI\nx\na\n{course Code ‘Semester | course code |\nWASG01 —[industiel Trang \"143002 — | Academe: Prowet = 3\n‘Specalzaton Elecivo 5) FI\n‘Specialization Elective 6) FI\n���Specialzaton Elective (7) Fl\n5 University Elective (Cluster 1); Thinking Matis: Mind & 4\nIntec\n‘Univraty Elective (Cluster 2) Technelogy/Arfical =\nLnteigence and Data Anais: Tene\nTota | Tota | as\nCourse Code. Semester relia ‘edi Distibution\nCo-Curiculam 2) 2 [Course Component reais\nTASES | Academic Prose I GAWASOOD = ‘Unversity Courses. 14\nSpecaizaton Fete 8) = Faculy Core Courses rT\nSpocalzation Ewctve (9) 3 Unversity Erectve Couses 3\n‘ Specialization Elecve (17> x Programme Core Courses Ed\nUniversity Elective (Cluster 3) Global asues and ean Eset Coueses\n(Communty Susianatinty: Making te World Boter Pico |__* sir aah =\nTota] 6 \"TOTAL CREDITS FOR GRADUATION | 728\nPre-requsite\nTaken al Facuty and Programme Core Courses except Academic Project and Academic Projet I", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 7\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nSource chunk text:\n‘Spocelzaton Elecivo (1) = x\nz\nWwiaz007 | Mobi Appcation Development KAR: Infegrty and Ants Cornapton course\nz\nEI\nrT\nEI\nx\na\n{course Code ‘Semester | course code |\nWASG01 —[industiel Trang \"143002 — | Academe: Prowet = 3\n‘Specalzaton Elecivo 5) FI\n‘Specialization Elective 6) FI\n‘Specialzaton Elective (7) Fl\n5 University Elective (Cluster 1); Thinking Matis: Mind & 4\nIntec\n‘Univraty Elective (Cluster 2) Technelogy/Arfical =\nLnteigence and Data Anais: Tene\nTota | Tota | as\nCourse Code. Semester relia ‘edi Distibution\nCo-Curiculam 2) 2 [Course Component reais\nTASES | Academic Prose I GAWASOOD = ‘Unversity Courses. 14\nSpecaizaton Fete 8) = Faculy Core Courses rT\nSpocalzation Ewctve (9) 3 Unversity Erectve Couses 3\n‘ Specialization Elecve (17> x Programme Core Courses Ed\nUniversity Elective (Cluster 3) Global asues and ean Eset Coueses\n(Communty Susianatinty: Making te World Boter Pico |__* sir aah =\nTota] 6 \"TOTAL CREDITS FOR GRADUATION | 728\nPre-requsite\nTaken al Facuty and Programme Core Courses except Academic Project and Academic Projet I\n\nKeywords: academic, cluster, code, core, course, courses, elecivo, elective, semester, specialization, tota, university"}
+{"kb_id": "RAGKB-0358", "knowledge_group_id": "KG-0083", "source_chunk_id": "SC-00358", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Multimedia Computing)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 8", "pages": [220], "chunk_index": 8, "group_size_chunks": 8, "group_size_qas": 15, "linked_index_ids": ["UMI-0075", "UMI-0076", "UMI-0320", "UMI-0321", "UMI-0322", "UMI-0323"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "basis", "core", "courses", "each", "elecive", "electives", "every", "excop", "faculy", "indusinal"], "retrieval_tags": [], "source_text": "Pass all Faculy and Programme Core Courses excop or indusinal Training and Academic Project I\n‘Specialization Elecive Courses willbe offered ona rotaton basis. Each Specalzaton Electives scheduled to run only once in every academic session, thorn Semester 1 or Semestr 2", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Multimedia Computing) - chunk 8\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Multimedia Computing)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Multimedia Computing)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Multimedia Computing)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Multimedia Computing)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Multimedia Computing)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Multimedia Computing)?\n\nSource chunk text:\nPass all Faculy and Programme Core Courses excop or indusinal Training and Academic Project I\n‘Specialization Elecive Courses willbe offered ona rotaton basis. Each Specalzaton Electives scheduled to run only once in every academic session, thorn Semester 1 or Semestr 2\n\nKeywords: academic, all, basis, core, courses, each, elecive, electives, every, excop, faculy, indusinal"}
+{"kb_id": "RAGKB-0359", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00359", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 1", "pages": [222], "chunk_index": 1, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "Real quick, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?"], "matched_qa_ids": ["qa_000077", "qa_000324", "qa_000325", "qa_000539", "qa_000900", "qa_000901", "qa_000902"], "grounded_answer_bank": ["The Bachelor of Computer Science (Data Science) programme aims to produce graduates who can apply computer science knowledge and data science techniques to solve computer-based problems. The outcomes highlight deeper data science understanding, innovative problem solving, practical solution development, use of mathematics and computing theories for modelling and analytics, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through data science practice.", "The specialization focus highlighted for Bachelor of Computer Science (Data Science) is data science, as reflected by the programme title and its learning-outcome emphasis."], "retrieval_keywords": ["Bachelor of Computer Science (Data Science)", "apply", "can", "data", "demonstrate", "field", "gain", "goals", "graduate attributes", "graduates", "knowledge", "learning", "learning outcomes", "outcomes", "programme goals", "skills", "specialization focus"], "retrieval_tags": ["bachelor_of_computer_science_data_science", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "PROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who can apply the knowledge gained in the field of Data Science\nand apply scientific techniques to solve computer-based problems as well as having\nentrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Data Science) programme, graduates can:\nPO1\nGain strong knowledge in Data Science and across Computer Science field.\nEngage in practical training that involves collecting, cleaning, and exploring data to\nextract information and gain insights from the data.\nDemonstrate social skills and responsibility to the community using the knowledge\nand skills acquired throughout the Data Science pipeline.\nApply high ethical values in professional practice especially in dealing with data,\norganizations, and society.\nCommunicate effectively and demonstrate specific skills involved in communicating\ndata, whether verbal or visual.\nApply data science concepts and methods to solve problems in a real-world context", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 1\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nQuestion variants:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- Could you list the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- Could you tell me what distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- Real quick, what distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- Could you tell me what graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n\nGrounded answer bank:\n- The Bachelor of Computer Science (Data Science) programme aims to produce graduates who can apply computer science knowledge and data science techniques to solve computer-based problems. The outcomes highlight deeper data science understanding, innovative problem solving, practical solution development, use of mathematics and computing theories for modelling and analytics, communication, teamwork, innovation, professionalism, continuous personal development, and contribution to society through data science practice.\n- The specialization focus highlighted for Bachelor of Computer Science (Data Science) is data science, as reflected by the programme title and its learning-outcome emphasis.\n\nSource chunk text:\nPROGRAMME GOALS AND\nLEARNING OUTCOMES\nPROGRAMME GOALS\nTo produce excellent graduates who can apply the knowledge gained in the field of Data Science\nand apply scientific techniques to solve computer-based problems as well as having\nentrepreneurship mindset.\nProgramme Educational Objective:\nPROGRAMME LEARNING OUTCOMES\nAt the end of the Bachelor of Computer Science (Data Science) programme, graduates can:\nPO1\nGain strong knowledge in Data Science and across Computer Science field.\nEngage in practical training that involves collecting, cleaning, and exploring data to\nextract information and gain insights from the data.\nDemonstrate social skills and responsibility to the community using the knowledge\nand skills acquired throughout the Data Science pipeline.\nApply high ethical values in professional practice especially in dealing with data,\norganizations, and society.\nCommunicate effectively and demonstrate specific skills involved in communicating\ndata, whether verbal or visual.\nApply data science concepts and methods to solve problems in a real-world context\n\nKeywords: Bachelor of Computer Science (Data Science), apply, can, data, demonstrate, field, gain, goals, graduate attributes, graduates, knowledge, learning, learning outcomes, outcomes, programme goals, skills, specialization focus"}
+{"kb_id": "RAGKB-0360", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00360", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 2", "pages": [222], "chunk_index": 2, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accessing", "acquire", "analyze", "analyzing", "any", "appropriate", "business", "can", "data", "data-driven", "skills", "use"], "retrieval_tags": [], "source_text": "with effective data-driven solutions.\nUse lifelong information management and learning skills to acquire knowledge and\nskills in Data Science.\nIdentify and analyze business opportunities and can develop a new Data Science\nrelated business plan.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates can conduct data-driven investigations by accessing, evaluating, and analyzing\ndata sets to obtain useful information; competent in the use of appropriate tools and\ntechnologies in building data models capable of making predictions and solving problems\ninvolving different set of data from any domain and developing data products.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 2\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nSource chunk text:\nwith effective data-driven solutions.\nUse lifelong information management and learning skills to acquire knowledge and\nskills in Data Science.\nIdentify and analyze business opportunities and can develop a new Data Science\nrelated business plan.\nPO2\nPO3\nPO4\nPO5\nPO6\nPO7\nPO8\nGraduates can conduct data-driven investigations by accessing, evaluating, and analyzing\ndata sets to obtain useful information; competent in the use of appropriate tools and\ntechnologies in building data models capable of making predictions and solving problems\ninvolving different set of data from any domain and developing data products.\n\nKeywords: accessing, acquire, analyze, analyzing, any, appropriate, business, can, data, data-driven, skills, use"}
+{"kb_id": "RAGKB-0361", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00361", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 3", "pages": [223], "chunk_index": 3, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": ["What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?", "Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "Low-key, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Just asking, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "matched_qa_ids": ["qa_000078", "qa_000326", "qa_000327", "qa_000540", "qa_000541", "qa_000903", "qa_000904", "qa_000905"], "grounded_answer_bank": ["The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.", "A semester-by-semester curriculum structure for Bachelor of Computer Science (Data Science). It combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the specialization focus centered on data science."], "retrieval_keywords": ["Bachelor of Computer Science (Data Science)", "academic", "achiooure", "arbcanot", "ares", "aus", "bachelor", "basic", "code", "core", "core study areas", "course", "course planning", "courses", "curriculum", "curriculum structure", "data", "semester planning"], "retrieval_tags": ["bachelor_of_computer_science_data_science", "undergraduate", "undergraduate_programme_goals_and_learning_outcomes"], "source_text": "CURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (DATA SCIENCE)\n\"ACADEMIC SESSION 2uzst020\nCOURSE CODE\nSawa gunie Basic Malay Language (for international student)\nEGTOTE [Ares of Eicon Grito\n‘GG 1003 | Baste Enroprnous\n‘GG Toot ——[itrmation Lerey\n‘161008 [Soa Enoagemet\nTEETHOOR [Eni for Commancaon\nEDGR | Engi or Commuaon 2)\no-Curivcalun\nEiema Facity Eaves\nCOURSECODE FACULTY CORE COURSES\nWoxt0o1 | Computing Nahemats\nWoxtaG2 | Fundamentals of Presramning\nWORt005 | Computer System and Organization\nWoez261 | Tirkng end Communication Sls\nWoxaina ——[ Preect Management\nCOURSE CODE, PROGRAMME CORE COURSES\nW703 | roduiontoData Soeres\nWATOOH ——[ ntermaton Systems\nWare? —[ bats Siacire\nWirt ——[ Computer Syston Achiooure\nWiAT005 ——[ NetvonTecinoogy Foundation\nWiAzior | Daiabase\nWikzi02 ——| Sofware og\nWiAza03 | Probably and SiaCs\nWikzto4 ——[ Operating Systoms\nWwid2t08——[ Machine eamna\n‘iz300s | Proessona DevelopnooF\nW006 ——| Data Sanco and ArBCanOT\nWt3007 ——[ industrial Soliton Dowtomor\nWii2007 | Dela Sues Prosar”\nWino? ——| Date Sus aus TERT\nCOURSE CODE, FACULTY ELECTIVE COURSES [Choose on COUR]", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 3\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nQuestion variants:\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n- Could you tell me what curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- Low-key, what curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- Could you tell me what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Just asking, what curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Could you tell me which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nGrounded answer bank:\n- The curriculum structure semester by semester, showing how university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project fit into the degree plan.\n- A semester-by-semester curriculum structure for Bachelor of Computer Science (Data Science). It combines university courses, faculty core courses, programme core courses, specialization electives, industrial training, and the academic project, with the specialization focus centered on data science.\n\nSource chunk text:\nCURRICULUM STRUCTURE\nBACHELOR OF COMPUTER SCIENCE (DATA SCIENCE)\n\"ACADEMIC SESSION 2uzst020\nCOURSE CODE\nSawa gunie Basic Malay Language (for international student)\nEGTOTE [Ares of Eicon Grito\n‘GG 1003 | Baste Enroprnous\n‘GG Toot ——[itrmation Lerey\n‘161008 [Soa Enoagemet\nTEETHOOR [Eni for Commancaon\nEDGR | Engi or Commuaon 2)\no-Curivcalun\nEiema Facity Eaves\nCOURSECODE FACULTY CORE COURSES\nWoxt0o1 | Computing Nahemats\nWoxtaG2 | Fundamentals of Presramning\nWORt005 | Computer System and Organization\nWoez261 | Tirkng end Communication Sls\nWoxaina ——[ Preect Management\nCOURSE CODE, PROGRAMME CORE COURSES\nW703 | roduiontoData Soeres\nWATOOH ——[ ntermaton Systems\nWare? —[ bats Siacire\nWirt ——[ Computer Syston Achiooure\nWiAT005 ——[ NetvonTecinoogy Foundation\nWiAzior | Daiabase\nWikzi02 ——| Sofware og\nWiAza03 | Probably and SiaCs\nWikzto4 ——[ Operating Systoms\nWwid2t08——[ Machine eamna\n‘iz300s | Proessona DevelopnooF\nW006 ——| Data Sanco and ArBCanOT\nWt3007 ——[ industrial Soliton Dowtomor\nWii2007 | Dela Sues Prosar”\nWino? ——| Date Sus aus TERT\nCOURSE CODE, FACULTY ELECTIVE COURSES [Choose on COUR]\n\nKeywords: Bachelor of Computer Science (Data Science), academic, achiooure, arbcanot, ares, aus, bachelor, basic, code, core, core study areas, course, course planning, courses, curriculum, curriculum structure, data, semester planning"}
+{"kb_id": "RAGKB-0362", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00362", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 4", "pages": [223], "chunk_index": 4, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "anaiyies", "anayies", "anayios", "ane", "appteatons", "bata", "core", "courses", "data", "semester"], "retrieval_tags": [], "source_text": "Woo! | Sof Campana\nWoesao [Socal nema\nWat —[ ntrmeton Socurly Manager and ETS\nWiczt6¢ —— [irene Technaiany\nWitao1 | Data anayios\nWid ——[Knonfedge Represartaton and Reasoning\nwibzi02 ——[ Comping Mathers\n‘Wid300] | Funona and enc Programming\nWwidsto2 | Naural Language Processing\nWIESIO7 [Dat Wig ad Worenousing\nWESITO——[ bata Vstzaton\nWieapig | Business Anaiyies and toigonds\nwi2003 | 8g Data Appteatons ane Anayies\nW00a | Trendsin Data Saeree\nTotal i\nTOTALCREDITS FORGRADUATION| 124\n#4 Pre-equisite.\n* Taken all Faculty and Programme Core Courses.\nPass all Faculty and Programme Core Courses except for Industrial Training\n* Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 4\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nSource chunk text:\nWoo! | Sof Campana\nWoesao [Socal nema\nWat —[ ntrmeton Socurly Manager and ETS\nWiczt6¢ —— [irene Technaiany\nWitao1 | Data anayios\nWid ——[Knonfedge Represartaton and Reasoning\nwibzi02 ——[ Comping Mathers\n‘Wid300] | Funona and enc Programming\nWwidsto2 | Naural Language Processing\nWIESIO7 [Dat Wig ad Worenousing\nWESITO——[ bata Vstzaton\nWieapig | Business Anaiyies and toigonds\nwi2003 | 8g Data Appteatons ane Anayies\nW00a | Trendsin Data Saeree\nTotal i\nTOTALCREDITS FORGRADUATION| 124\n#4 Pre-equisite.\n* Taken all Faculty and Programme Core Courses.\nPass all Faculty and Programme Core Courses except for Industrial Training\n* Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2.\n\nKeywords: academic, all, anaiyies, anayies, anayios, ane, appteatons, bata, core, courses, data, semester"}
+{"kb_id": "RAGKB-0363", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00363", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 5", "pages": [224], "chunk_index": 5, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "acbistipeinaasy", "archecire", "bachelor", "bas", "cata", "code", "course", "credits", "data", "semester", "total"], "retrieval_tags": [], "source_text": "‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (DATA SCIENCE)\n\"ACADEMIC SESSION 2025/2026\n[Revel [course Code [Semester eres\n‘eaaios | acbistipeinaasy Gana = {GIG1012\" | Phiosophy and Curent issues (or loca student ond) Bas] >\ncata ‘Malay Lanqunae dor intemational student\nTuGo1 | Compuing Nemes x ‘6161004 [infomation Ltr\n{wix1002 [Fundamentals of Progamming 5 {6161005 | Socal Engagement z\nWix1003_—[- Computer Sysiem and Organzation 3 Wia 12 —[ Data Stucke WTO) 5\n4 [WWAiGo1 —Tnformeton Siste x \"wa009—[ Computer System Archecire (OWT) EI\n\"wid3006—[ Machine Learning :\n\"WiE7009—[Ineducion to Data Seance x\netal | 6 Total |\n‘Course Code ‘Semester ‘credits | | Course code Semester? Credis\nEngish for Commrancation 1 3 {Go-Cumeutam: 2\n7 rs\n[wooo 7 conmuneaton Thnkna and Skits | Faro Toperatina Stems 4\n[- wnxzooe [Pred wananement 3] wnatoos —T network iz [——\nWazoo 3 Spoclzaton Elective (1) 3\n2 |insoes— soe nos EI ‘Specalzaton Elecive 2) 3\nWHAKIOS —| Probably and Statics x Faculy Elstve 3\nToa Total\n‘Semester ‘credits | | Course Code | ‘Semester 2 (indus | creas |", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 5\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nSource chunk text:\n‘COURSE PLANNING FOR BACHELOR OF COMPUTER SCIENCE (DATA SCIENCE)\n\"ACADEMIC SESSION 2025/2026\n[Revel [course Code [Semester eres\n‘eaaios | acbistipeinaasy Gana = {GIG1012\" | Phiosophy and Curent issues (or loca student ond) Bas] >\ncata ‘Malay Lanqunae dor intemational student\nTuGo1 | Compuing Nemes x ‘6161004 [infomation Ltr\n{wix1002 [Fundamentals of Progamming 5 {6161005 | Socal Engagement z\nWix1003_—[- Computer Sysiem and Organzation 3 Wia 12 —[ Data Stucke WTO) 5\n4 [WWAiGo1 —Tnformeton Siste x \"wa009—[ Computer System Archecire (OWT) EI\n\"wid3006—[ Machine Learning :\n\"WiE7009—[Ineducion to Data Seance x\netal | 6 Total |\n‘Course Code ‘Semester ‘credits | | Course code Semester? Credis\nEngish for Commrancation 1 3 {Go-Cumeutam: 2\n7 rs\n[wooo 7 conmuneaton Thnkna and Skits | Faro Toperatina Stems 4\n[- wnxzooe [Pred wananement 3] wnatoos —T network iz [——\nWazoo 3 Spoclzaton Elective (1) 3\n2 |insoes— soe nos EI ‘Specalzaton Elecive 2) 3\nWHAKIOS —| Probably and Statics x Faculy Elstve 3\nToa Total\n‘Semester ‘credits | | Course Code | ‘Semester 2 (indus | creas |\n\nKeywords: academic, acbistipeinaasy, archecire, bachelor, bas, cata, code, course, credits, data, semester, total"}
+{"kb_id": "RAGKB-0364", "knowledge_group_id": "KG-0081", "source_chunk_id": "SC-00364", "source_doc": "Complete Handbook", "scope_label": "undergraduate", "section": "Undergraduate Programme Goals and Learning Outcomes", "subsection": "Bachelor of Computer Science (Data Science)", "title": "Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 6", "pages": [224], "chunk_index": 6, "group_size_chunks": 6, "group_size_qas": 15, "linked_index_ids": ["UMI-0077", "UMI-0078", "UMI-0324", "UMI-0325", "UMI-0326", "UMI-0327"], "group_canonical_questions": ["What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?", "What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?", "What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?", "What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?", "What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?", "Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "all", "applicaton", "core", "courses", "couses", "elecive", "except", "project", "specaizaton", "specialization", "total"], "retrieval_tags": [], "source_text": "‘wits001 | eta Sconce Project 3 Wirs002 [sta Science Industrial Training “\n‘Specaizaton Eecwwe ]™ EI\n‘Specalzaton Eecive 4)™ ra\n‘Spaaalzaton Eleciva(51* >\nSpecaizaton Elecive (6)* 3\na a\nExtamal Faculty Eiecive 2\nEo Total | aa\n‘Course Component creas\n\"W005 | Profesional Doweleament z Univers Courses, 20\n‘wnFi006 —[ Data Science and Applicaton” 5 Facully Core Courses cid\n‘4 [Litto —T nausea Sotston Development” S Focully Eocive Causes 6\nProgramme Core Couses 33\nSpecialization Elecve Couses 8\nTear | \"TOTAL CREDITS FOR GRADUATION | 124\nProsoqusto\n“Taken al Faculty and Programme Core Courses except Academic Pret | and Academic Project I\nPass all Faull and Programme Core Courses except fr indusial Trang and Academic Project I\n‘Specialization Elocive Courses wil be offoed ona rotation basis. Each Specelzaton Elecive sschodulod o run orly once in every academic session, ether in Semester tor Somestor 2", "retrieval_text": "Title: Undergraduate Programme Goals and Learning Outcomes - Bachelor of Computer Science (Data Science) - chunk 6\n\nScope: undergraduate\n\nSource document: Complete Handbook\n\nSection: Undergraduate Programme Goals and Learning Outcomes\n\nSubsection: Bachelor of Computer Science (Data Science)\n\nCanonical questions:\n- What are the programme goals and learning outcomes for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or course planning information is shown for Bachelor of Computer Science (Data Science)?\n- What distinctive specialization focus is highlighted for Bachelor of Computer Science (Data Science)?\n- What graduate attributes or capabilities are emphasized for Bachelor of Computer Science (Data Science)?\n- What curriculum structure or semester planning themes are shown for Bachelor of Computer Science (Data Science)?\n- Which core study areas appear to define the curriculum of Bachelor of Computer Science (Data Science)?\n\nSource chunk text:\n‘wits001 | eta Sconce Project 3 Wirs002 [sta Science Industrial Training “\n‘Specaizaton Eecwwe ]™ EI\n‘Specalzaton Eecive 4)™ ra\n‘Spaaalzaton Eleciva(51* >\nSpecaizaton Elecive (6)* 3\na a\nExtamal Faculty Eiecive 2\nEo Total | aa\n‘Course Component creas\n\"W005 | Profesional Doweleament z Univers Courses, 20\n‘wnFi006 —[ Data Science and Applicaton” 5 Facully Core Courses cid\n‘4 [Litto —T nausea Sotston Development” S Focully Eocive Causes 6\nProgramme Core Couses 33\nSpecialization Elecve Couses 8\nTear | \"TOTAL CREDITS FOR GRADUATION | 124\nProsoqusto\n“Taken al Faculty and Programme Core Courses except Academic Pret | and Academic Project I\nPass all Faull and Programme Core Courses except fr indusial Trang and Academic Project I\n‘Specialization Elocive Courses wil be offoed ona rotation basis. Each Specelzaton Elecive sschodulod o run orly once in every academic session, ether in Semester tor Somestor 2\n\nKeywords: academic, all, applicaton, core, courses, couses, elecive, except, project, specaizaton, specialization, total"}
+{"kb_id": "RAGKB-0365", "knowledge_group_id": "KG-0036", "source_chunk_id": "SC-00365", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Requirements", "title": "Master of Computer Science (Applied Computing) - Programme Requirements - chunk 1", "pages": [37], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0018", "UMI-0202", "UMI-0203"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "Could you list the programme requirements for Master of Computer Science (Applied Computing)?", "So basically, what are the programme requirements for Master of Computer Science (Applied Computing)?", "Could you tell me what admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "Quick check: what admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000018", "qa_000202", "qa_000430", "qa_000431", "qa_000723", "qa_000724"], "grounded_answer_bank": ["The Master of Computer Science (Applied Computing) is a mixed-mode programme made up of 42 credits: 21 credits of coursework and 21 credits of research leading to a dissertation. The handbook states that Part I contains five 3-credit core courses and two electives, while Part II is the dissertation. Admission is aimed at applicants from Computer Science, Information Technology, or related fields, normally with a CGPA of at least 3.00, while applicants with a CGPA of 2.70–2.99 may also be considered if they meet at least one additional criterion such as relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International applicants must satisfy the stated English language requirements, and the recommended duration is four to eight semesters."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "admission", "bachelor's", "cgpa", "degree", "entry", "entry qualifications", "field", "fields", "follows", "honours", "language", "least", "malay/malaysian", "programme requirements", "requirements"], "retrieval_tags": ["master_of_computer_science_applied_computing", "postgraduate", "programme_requirements"], "source_text": "PROGRAMME REQUIREMENTS\nSS\nProgramme Type\nThe type of programme offered for the Master of Computer Science (Applied Computing) is a\nprogramme which shall consist of coursework (50%) and research leading to the submission of\na dissertation in the candidate's area of study (50%).\nAdmission Requirements\n- The general entry requirements to enrol in this program are as follows:\nPass the Malaysian Certificate of Education (SPM)/equivalent with honours in\nMalay/Malaysian Language or honours in Malay/Malaysian Language of July Paper.\n- The special entry requirements to follow this program are as follows:\nBachelor's degree with a CGPA of not less than 3.00 in the field of Computer\n‘Science/Information Technology/related fields;\nOR\nBachelor's Degree with CGPA (2.70 — 2.99) in the field of Computer Science/Information\nTechnology/related fields and meet at least one (1) of the following criteria\ni, Graduated from the University of Malaya\nji, Have at least one (1) year of work experience in a related field\nii, Produce publications in relevant fields\niv, Scholarship recipient", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- Could you list the programme requirements for Master of Computer Science (Applied Computing)?\n- So basically, what are the programme requirements for Master of Computer Science (Applied Computing)?\n- Could you tell me what admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- Quick check: what admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The Master of Computer Science (Applied Computing) is a mixed-mode programme made up of 42 credits: 21 credits of coursework and 21 credits of research leading to a dissertation. The handbook states that Part I contains five 3-credit core courses and two electives, while Part II is the dissertation. Admission is aimed at applicants from Computer Science, Information Technology, or related fields, normally with a CGPA of at least 3.00, while applicants with a CGPA of 2.70–2.99 may also be considered if they meet at least one additional criterion such as relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International applicants must satisfy the stated English language requirements, and the recommended duration is four to eight semesters.\n\nSource chunk text:\nPROGRAMME REQUIREMENTS\nSS\nProgramme Type\nThe type of programme offered for the Master of Computer Science (Applied Computing) is a\nprogramme which shall consist of coursework (50%) and research leading to the submission of\na dissertation in the candidate's area of study (50%).\nAdmission Requirements\n- The general entry requirements to enrol in this program are as follows:\nPass the Malaysian Certificate of Education (SPM)/equivalent with honours in\nMalay/Malaysian Language or honours in Malay/Malaysian Language of July Paper.\n- The special entry requirements to follow this program are as follows:\nBachelor's degree with a CGPA of not less than 3.00 in the field of Computer\n‘Science/Information Technology/related fields;\nOR\nBachelor's Degree with CGPA (2.70 — 2.99) in the field of Computer Science/Information\nTechnology/related fields and meet at least one (1) of the following criteria\ni, Graduated from the University of Malaya\nji, Have at least one (1) year of work experience in a related field\nii, Produce publications in relevant fields\niv, Scholarship recipient\n\nKeywords: Master of Computer Science (Applied Computing), admission, bachelor's, cgpa, degree, entry, entry qualifications, field, fields, follows, honours, language, least, malay/malaysian, programme requirements, requirements"}
+{"kb_id": "RAGKB-0366", "knowledge_group_id": "KG-0036", "source_chunk_id": "SC-00366", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Requirements", "title": "Master of Computer Science (Applied Computing) - Programme Requirements - chunk 2", "pages": [37], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0018", "UMI-0202", "UMI-0203"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "degree", "english", "higher", "ielts", "language", "minimum", "requirements", "score", "test", "time", "toefl"], "retrieval_tags": [], "source_text": "Vv, _ isan employee of a government agency.\nVi, Pass the Faculty interview, or\nVi, passed the faculty's special assessment.\nOR\nOther qualifications approved by the Senate from time to time.\nAND\n©) English Language Competency Requirements:\n‘+ Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree\nin question who wish to follow a degree program and/or to write their dissertation in\nEnglish are required to meet the following requirements:\ni. A minimum soore of $50 for the paper-based test (PBT), a score of 213 for the\n‘computer-based test (CBT) or a score of 80 for the internet-based test (iBT) for the\nTest of English as a Foreign Language (TOEFL);\nii, Minimum band 6.0 for the International English Language Testing System (IELTS)\n(Academic);\nili, Scores according to the respective program standards if higher than (a) and (b);,\niv. For any program standard that places the TOEFL or IELTS (Academic) score lower", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nVv, _ isan employee of a government agency.\nVi, Pass the Faculty interview, or\nVi, passed the faculty's special assessment.\nOR\nOther qualifications approved by the Senate from time to time.\nAND\n©) English Language Competency Requirements:\n‘+ Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree\nin question who wish to follow a degree program and/or to write their dissertation in\nEnglish are required to meet the following requirements:\ni. A minimum soore of $50 for the paper-based test (PBT), a score of 213 for the\n‘computer-based test (CBT) or a score of 80 for the internet-based test (iBT) for the\nTest of English as a Foreign Language (TOEFL);\nii, Minimum band 6.0 for the International English Language Testing System (IELTS)\n(Academic);\nili, Scores according to the respective program standards if higher than (a) and (b);,\niv. For any program standard that places the TOEFL or IELTS (Academic) score lower\n\nKeywords: academic, degree, english, higher, ielts, language, minimum, requirements, score, test, time, toefl"}
+{"kb_id": "RAGKB-0367", "knowledge_group_id": "KG-0036", "source_chunk_id": "SC-00367", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Requirements", "title": "Master of Computer Science (Applied Computing) - Programme Requirements - chunk 3", "pages": [37], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0018", "UMI-0202", "UMI-0203"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["a-level", "academic", "advanced", "assessment", "been", "cambridge", "english", "grade", "minimum", "score", "university", "vii"], "retrieval_tags": [], "source_text": "than the University’s minimum soore, those programs must follow the minimum,\nscore that has been set by the University;\nv. Minimum score of 57 Pearson Test of Academic English (PTE Academic);\nvi Minimum grade C for English subject in General Certificate of Education (A-Level);\nvii. Minimum grade C in B2 First by Cambridge Assessment English;\nvii, Minimum grade C in C1 Advanced by Cambridge Assessment English; or\neon\nOo®\ne\nOm", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Requirements - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nthan the University’s minimum soore, those programs must follow the minimum,\nscore that has been set by the University;\nv. Minimum score of 57 Pearson Test of Academic English (PTE Academic);\nvi Minimum grade C for English subject in General Certificate of Education (A-Level);\nvii. Minimum grade C in B2 First by Cambridge Assessment English;\nvii, Minimum grade C in C1 Advanced by Cambridge Assessment English; or\neon\nOo®\ne\nOm\n\nKeywords: a-level, academic, advanced, assessment, been, cambridge, english, grade, minimum, score, university, vii"}
+{"kb_id": "RAGKB-0368", "knowledge_group_id": "KG-0036", "source_chunk_id": "SC-00368", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Requirements", "title": "Master of Computer Science (Applied Computing) - Programme Requirements - chunk 4", "pages": [38], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0018", "UMI-0202", "UMI-0203"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?", "Could you tell me what study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000203", "qa_000725"], "grounded_answer_bank": ["The programme is shown as a mixed-mode structure made up of 50% coursework and 50% research, with a total of 42 credits split between taught courses and a dissertation."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "consist", "courses", "coursework", "credit structure", "credits", "dissertation", "duration", "english", "format", "have", "language", "part", "shall", "study", "study mode"], "retrieval_tags": ["master_of_computer_science_applied_computing", "postgraduate", "programme_requirements"], "source_text": "os\nix. Minimum grade C in C2 Proficiency by Cambridge Assessment English.\n* Non-citizen applicants with the following backgrounds are exempt from the prescribed\nEnglish language qualification requirements:\ni. Comes from a country where English is the national language;\nii Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\niii, Have studied in Malaysia and intend to pursue further education, subject to\ncondition (b).\nDuration of Study\nThe recommended study duration is between four (4) to eight (8) semesters.\nProgramme Structure\n(1) The Master of Computer Science (Applied Computing) Programme will have forty-two\n(42) credits through coursework and dissertation.\n(2) Through Coursework and Dissertation Programme\n() The programme shall consist of two parts:\n(2) Part | comprises:\n(i) five (6) core courses, each three credits; and\n(ii) two (2) elective courses.\n(b) Part II shall consist of twenty-one (21) credits and shall involve\nresearch leading to the submission of a dissertation.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Requirements - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n- Could you tell me what study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The programme is shown as a mixed-mode structure made up of 50% coursework and 50% research, with a total of 42 credits split between taught courses and a dissertation.\n\nSource chunk text:\nos\nix. Minimum grade C in C2 Proficiency by Cambridge Assessment English.\n* Non-citizen applicants with the following backgrounds are exempt from the prescribed\nEnglish language qualification requirements:\ni. Comes from a country where English is the national language;\nii Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\niii, Have studied in Malaysia and intend to pursue further education, subject to\ncondition (b).\nDuration of Study\nThe recommended study duration is between four (4) to eight (8) semesters.\nProgramme Structure\n(1) The Master of Computer Science (Applied Computing) Programme will have forty-two\n(42) credits through coursework and dissertation.\n(2) Through Coursework and Dissertation Programme\n() The programme shall consist of two parts:\n(2) Part | comprises:\n(i) five (6) core courses, each three credits; and\n(ii) two (2) elective courses.\n(b) Part II shall consist of twenty-one (21) credits and shall involve\nresearch leading to the submission of a dissertation.\n\nKeywords: Master of Computer Science (Applied Computing), consist, courses, coursework, credit structure, credits, dissertation, duration, english, format, have, language, part, shall, study, study mode"}
+{"kb_id": "RAGKB-0369", "knowledge_group_id": "KG-0036", "source_chunk_id": "SC-00369", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Requirements", "title": "Master of Computer Science (Applied Computing) - Programme Requirements - chunk 5", "pages": [38], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0018", "UMI-0202", "UMI-0203"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (Applied Computing)?", "What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?", "What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applied", "approved", "candidates", "combination", "computing", "courses", "details", "list", "senate", "shall", "start", "time"], "retrieval_tags": [], "source_text": "(3) Details of courses offered shall be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\n(4) The list of Senate approved courses for the Master of Computer Science (Applied\nComputing) Programme shall be as indicated in List 1. Candidates shall be informed\nof the prescribed combination of courses for this programme prior to registration at the\nstart of their study programme.\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Requirements - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (Applied Computing)?\n- What admission background or entry qualifications are described for Master of Computer Science (Applied Computing)?\n- What study mode, credit structure, or programme format is indicated for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\n(3) Details of courses offered shall be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\n(4) The list of Senate approved courses for the Master of Computer Science (Applied\nComputing) Programme shall be as indicated in List 1. Candidates shall be informed\nof the prescribed combination of courses for this programme prior to registration at the\nstart of their study programme.\nms.\n\nKeywords: applied, approved, candidates, combination, computing, courses, details, list, senate, shall, start, time"}
+{"kb_id": "RAGKB-0370", "knowledge_group_id": "KG-0035", "source_chunk_id": "SC-00370", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 1", "pages": [39], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0019", "UMI-0204", "UMI-0205"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?", "Could you list the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "Quick check: what are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "Could you tell me what graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "Hey, what graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "Could you tell me what learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000019", "qa_000204", "qa_000205", "qa_000432", "qa_000433", "qa_000726", "qa_000727", "qa_000728"], "grounded_answer_bank": ["The programme objectives emphasise three broad aims: establishing graduates as competent computing professionals, encouraging continuous knowledge development and teamwork for industry or academia, and contributing to sustainable development through professional skills and ethics. The handbook's learning outcomes further stress mastery of advanced computer science concepts, problem solving for computing problems, integration of knowledge and appropriate technologies to build effective ICT solutions, application of mathematical skills, effective communication and leadership in projects, innovation, and professional ethics."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "able", "academia", "advanced", "contribute", "development", "graduate capabilities", "knowledge", "learning", "learning outcomes", "outcomes", "peo", "raduates", "skills", "skils", "themes"], "retrieval_tags": ["master_of_computer_science_applied_computing", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "r ca\nPROGRAMME OBJECTIVES & Q C\nOUTCOMES a\noe\nPROGRAMME EDUCATIONAL OBJECTIVE (PEO)\nPEOA raduates able to establish themselves as competent and practicing professionals,\nin Computer Science or related fields._ (Professionalism)\nraduates able to continuously pursue new knowledge to improve their competency]\nPEO 2 [Pd subsequently work in teams to contribute to the industry or academia in\nPuter Science (Ongoing Personal Development)\nraduates able to contribute to sustainable development and the well-being of the\nPEOS ety through professional skills and ethics in the discipline of Computer Science\n(Societal Engagement)\n(Assessed after 3 - 5 years affer students graduated)\nPROGRAMME LEARNING OUTCOMES:\nProgramme Learning Outcomes (PLO) ‘Cluster Learning Taxonomy\n‘Outcome (CLS) Category\n(KIPIA)\"\nPLOT] Master the advanced concepts and the CLSt K\nlatest theories in computer science. (Knowledge and\nUnderstanding)\nPLO2 | Apply problem solving skills and CLS2 K\n‘computer science knowledge for | (Cognitive skils)\n‘computing problems.\nPLOS | Integrate knowledge, techniques, skils, ‘CLS3A KP", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?\n- Could you list the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- Quick check: what are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- Could you tell me what graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- Hey, what graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- Could you tell me what learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The programme objectives emphasise three broad aims: establishing graduates as competent computing professionals, encouraging continuous knowledge development and teamwork for industry or academia, and contributing to sustainable development through professional skills and ethics. The handbook's learning outcomes further stress mastery of advanced computer science concepts, problem solving for computing problems, integration of knowledge and appropriate technologies to build effective ICT solutions, application of mathematical skills, effective communication and leadership in projects, innovation, and professional ethics.\n\nSource chunk text:\nr ca\nPROGRAMME OBJECTIVES & Q C\nOUTCOMES a\noe\nPROGRAMME EDUCATIONAL OBJECTIVE (PEO)\nPEOA raduates able to establish themselves as competent and practicing professionals,\nin Computer Science or related fields._ (Professionalism)\nraduates able to continuously pursue new knowledge to improve their competency]\nPEO 2 [Pd subsequently work in teams to contribute to the industry or academia in\nPuter Science (Ongoing Personal Development)\nraduates able to contribute to sustainable development and the well-being of the\nPEOS ety through professional skills and ethics in the discipline of Computer Science\n(Societal Engagement)\n(Assessed after 3 - 5 years affer students graduated)\nPROGRAMME LEARNING OUTCOMES:\nProgramme Learning Outcomes (PLO) ‘Cluster Learning Taxonomy\n‘Outcome (CLS) Category\n(KIPIA)\"\nPLOT] Master the advanced concepts and the CLSt K\nlatest theories in computer science. (Knowledge and\nUnderstanding)\nPLO2 | Apply problem solving skills and CLS2 K\n‘computer science knowledge for | (Cognitive skils)\n‘computing problems.\nPLOS | Integrate knowledge, techniques, skils, ‘CLS3A KP\n\nKeywords: Master of Computer Science (Applied Computing), able, academia, advanced, contribute, development, graduate capabilities, knowledge, learning, learning outcomes, outcomes, peo, raduates, skills, skils, themes"}
+{"kb_id": "RAGKB-0371", "knowledge_group_id": "KG-0035", "source_chunk_id": "SC-00371", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 2", "pages": [39], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0019", "UMI-0204", "UMI-0205"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abilty", "able", "affective", "apply", "codes", "demonstrate", "ethical", "leadership", "plos", "professional", "skills", "technologies"], "retrieval_tags": [], "source_text": "methodologies and appropriate |__ (Practical skills)\ntechnologies to create effective ICT\nsolutions.\nPLO4 | Master the abilty to apply mathematical CLS3B KP\nskills in the area of computer science. (Digital and numerical\nskils)\nPLOS | Communicate effectively, verbally and in CLS3C PA\nwriting, and able to work in ateam and | (Interpersonal and\ndemonstrate leadership skills in carrying | communication)\n‘out computer solence related projects,\nPLOS [Demonstrate leadership that is CLS3D PA\nconsistent with professional and ethical (Leadership,\n‘codes in computer science discipline autonomous and\nresponsible)\nPLOT | Conceive technical and societal ‘CLS4 KA\ninnovation through computer science (Personal and\ntechnologies. entrepreneurial skills)\nPLOS | Demonstrate character that in line with CLS5 KA\nprofessional ethical codes in computer (Ethics and\nscience Professionalism)\n“Cognitive (K), Psychomotor (P), Affective (A)\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nmethodologies and appropriate |__ (Practical skills)\ntechnologies to create effective ICT\nsolutions.\nPLO4 | Master the abilty to apply mathematical CLS3B KP\nskills in the area of computer science. (Digital and numerical\nskils)\nPLOS | Communicate effectively, verbally and in CLS3C PA\nwriting, and able to work in ateam and | (Interpersonal and\ndemonstrate leadership skills in carrying | communication)\n‘out computer solence related projects,\nPLOS [Demonstrate leadership that is CLS3D PA\nconsistent with professional and ethical (Leadership,\n‘codes in computer science discipline autonomous and\nresponsible)\nPLOT | Conceive technical and societal ‘CLS4 KA\ninnovation through computer science (Personal and\ntechnologies. entrepreneurial skills)\nPLOS | Demonstrate character that in line with CLS5 KA\nprofessional ethical codes in computer (Ethics and\nscience Professionalism)\n“Cognitive (K), Psychomotor (P), Affective (A)\nms.\n\nKeywords: abilty, able, affective, apply, codes, demonstrate, ethical, leadership, plos, professional, skills, technologies"}
+{"kb_id": "RAGKB-0372", "knowledge_group_id": "KG-0035", "source_chunk_id": "SC-00372", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 3", "pages": [40], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0019", "UMI-0204", "UMI-0205"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?", "What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["mapping", "mart", "matrix", "peo", "peo1", "peo2", "peos", "plo", "plo1", "plo2", "plo3", "plo4"], "retrieval_tags": [], "source_text": "mart\nMATRIX OF MAPPING PLO TO PEO\nPEO1 PEO2 PEOS\nPLO1 qv |\nPLO2 v |\nPLO3 | v\nPLO4 | v\nPLOS | v\nPLOG Vv\nPLOT Vv\nPLOB | v", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Programme Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (Applied Computing)?\n- What graduate capabilities or professional strengths does Master of Computer Science (Applied Computing) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nmart\nMATRIX OF MAPPING PLO TO PEO\nPEO1 PEO2 PEOS\nPLO1 qv |\nPLO2 v |\nPLO3 | v\nPLO4 | v\nPLOS | v\nPLOG Vv\nPLOT Vv\nPLOB | v\n\nKeywords: mapping, mart, matrix, peo, peo1, peo2, peos, plo, plo1, plo2, plo3, plo4"}
+{"kb_id": "RAGKB-0373", "knowledge_group_id": "KG-0031", "source_chunk_id": "SC-00373", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Candidature Requirements", "title": "Master of Computer Science (Applied Computing) - Candidature Requirements - chunk 1", "pages": [41], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 8, "linked_index_ids": ["UMI-0020", "UMI-0206", "UMI-0207"], "group_canonical_questions": ["What are the candidature requirements for Master of Computer Science (Applied Computing)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?", "What timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What are the candidature requirements for Master of Computer Science (Applied Computing)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?", "What timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?", "Could you list the candidature requirements for Master of Computer Science (Applied Computing)?", "Real quick, what are the candidature requirements for Master of Computer Science (Applied Computing)?", "Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?", "Low-key, what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?", "Could you tell me what timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000020", "qa_000206", "qa_000207", "qa_000434", "qa_000435", "qa_000729", "qa_000730", "qa_000731"], "grounded_answer_bank": ["The candidature requirements for Master of Computer Science (Applied Computing) include a minimum candidature duration of 3 semesters, together with the university's language and related candidature conditions where applicable."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "academic conditions", "bahasa", "beginning", "candidature", "candidature requirements", "component", "defense", "duration", "english", "fulfil", "language", "milestones", "presentation", "requirement", "research"], "retrieval_tags": ["candidature_requirements", "master_of_computer_science_applied_computing", "postgraduate"], "source_text": "“ce\nCANDIDATURE Q 2\na\nREQUIREMENTS\nFulfil the minimum candidature duration of 3 semesters.\nFulfil the University language requirement (Bahasa Malaysia and English) no later\nthan the second (2°) semester of candidature.\n| Fulfil the residential requirement of 6 months.\nPresentation\n© Proposal presentation at the beginning of the research component registration.\nPresent research progress in a Candidature Defense session as required by\nthe Faculty.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Candidature Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Master of Computer Science (Applied Computing)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n- What timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What are the candidature requirements for Master of Computer Science (Applied Computing)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n- What timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n- Could you list the candidature requirements for Master of Computer Science (Applied Computing)?\n- Real quick, what are the candidature requirements for Master of Computer Science (Applied Computing)?\n- Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n- Low-key, what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n- Could you tell me what timeline or milestone expectations are highlighted under candidature requirements for Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The candidature requirements for Master of Computer Science (Applied Computing) include a minimum candidature duration of 3 semesters, together with the university's language and related candidature conditions where applicable.\n\nSource chunk text:\n“ce\nCANDIDATURE Q 2\na\nREQUIREMENTS\nFulfil the minimum candidature duration of 3 semesters.\nFulfil the University language requirement (Bahasa Malaysia and English) no later\nthan the second (2°) semester of candidature.\n| Fulfil the residential requirement of 6 months.\nPresentation\n© Proposal presentation at the beginning of the research component registration.\nPresent research progress in a Candidature Defense session as required by\nthe Faculty.\n\nKeywords: Master of Computer Science (Applied Computing), academic conditions, bahasa, beginning, candidature, candidature requirements, component, defense, duration, english, fulfil, language, milestones, presentation, requirement, research"}
+{"kb_id": "RAGKB-0374", "knowledge_group_id": "KG-0033", "source_chunk_id": "SC-00374", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 1", "pages": [42], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0021", "UMI-0208", "UMI-0209"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?", "Could you explain the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "Hey, what's the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "Could you tell me what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "BTW, what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "Could you tell me what completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000021", "qa_000208", "qa_000209", "qa_000436", "qa_000437", "qa_000732", "qa_000733", "qa_000734"], "grounded_answer_bank": ["The handbook's on-time graduation schedule for Master of Computer Science (Applied Computing) is organized by semester and expects students to complete the required coursework first, then register for and progress through the dissertation-related stages so the programme can be completed on time."], "retrieval_keywords": ["GOT schedule", "Master of Computer Science (Applied Computing)", "all", "bahasa", "candidates", "complete", "completed", "core", "courses", "defence", "milestones", "offered", "on-time graduation", "proposal", "research", "semester", "timeline"], "retrieval_tags": ["graduate_on_time_got_schedule", "master_of_computer_science_applied_computing", "postgraduate"], "source_text": "GRADUATE ON TIME (G60T)\nSCHEDULE\nSS\nrh\nQ\nSemester Activities OutputiMilestone\n1 ‘ Appicabie to al intemational candidates: Atend Bahasa Melayu | OUTPUT OF SEM 1:\ncourse.\n‘+ Complete all core courses offered in Semester (inciuding | «Completed Bahasa Melayu course forall nternational candidates,\nResearch Methodology) and 1 or 2 elective courses offered in | 2 Completed all selected courses,\n‘Semester 1.\n‘© Altend relevant workshops/ research seminars (E.9., © Corel oy relevent vortanoetieneersh\nEndNote, Tumitin). -\n2 ‘Complete ll core courses offered in Semester land 1or2 | OUTPUT OF SEM2:\nlective courses offered in Semester I.\n‘+ Register for dissertation and perform the folowing activites: | «Completed all selected courses.\n+ Ghoose a research onic rom ait coated by ‘© Appointed supervisor and identified research topic.\nprogramme coordinator. i Daler\n‘© Submit appointment of supervisor form tothe office by the rae commit eraeerioel he\nGoatne Goan by hetecaaye ‘* Presented and passed Proposal Defence.\n‘© Prepare Proposal Defence report.\n‘+ Conduct Proposal Defence presentation.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?\n- Could you explain the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- Hey, what's the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- Could you tell me what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- BTW, what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- Could you tell me what completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The handbook's on-time graduation schedule for Master of Computer Science (Applied Computing) is organized by semester and expects students to complete the required coursework first, then register for and progress through the dissertation-related stages so the programme can be completed on time.\n\nSource chunk text:\nGRADUATE ON TIME (G60T)\nSCHEDULE\nSS\nrh\nQ\nSemester Activities OutputiMilestone\n1 ‘ Appicabie to al intemational candidates: Atend Bahasa Melayu | OUTPUT OF SEM 1:\ncourse.\n‘+ Complete all core courses offered in Semester (inciuding | «Completed Bahasa Melayu course forall nternational candidates,\nResearch Methodology) and 1 or 2 elective courses offered in | 2 Completed all selected courses,\n‘Semester 1.\n‘© Altend relevant workshops/ research seminars (E.9., © Corel oy relevent vortanoetieneersh\nEndNote, Tumitin). -\n2 ‘Complete ll core courses offered in Semester land 1or2 | OUTPUT OF SEM2:\nlective courses offered in Semester I.\n‘+ Register for dissertation and perform the folowing activites: | «Completed all selected courses.\n+ Ghoose a research onic rom ait coated by ‘© Appointed supervisor and identified research topic.\nprogramme coordinator. i Daler\n‘© Submit appointment of supervisor form tothe office by the rae commit eraeerioel he\nGoatne Goan by hetecaaye ‘* Presented and passed Proposal Defence.\n‘© Prepare Proposal Defence report.\n‘+ Conduct Proposal Defence presentation.\n\nKeywords: GOT schedule, Master of Computer Science (Applied Computing), all, bahasa, candidates, complete, completed, core, courses, defence, milestones, offered, on-time graduation, proposal, research, semester, timeline"}
+{"kb_id": "RAGKB-0375", "knowledge_group_id": "KG-0033", "source_chunk_id": "SC-00375", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 2", "pages": [42], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0021", "UMI-0208", "UMI-0209"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approval", "candidature", "data", "defence", "dissertation", "draft", "examination", "folowing", "output", "passed", "report", "submit"], "retrieval_tags": [], "source_text": "«Ifthe research includes human participant, apply for\nethics approval\n‘+ Submit progress report\n3 ‘Register for dissertation and perform the folowing ectviies: | OUTPUT OF SEM 3:\n‘* Collect data/conduct experiment.\n‘© Analyse data © Collected data,\n‘* Prepare Candidature Defence report. © Analysed data\n‘* Conduct Candidature Defence presentation. ‘© Completed Candidature Defence report.\n‘© If passed Candidature Defence, prepare a draft of\nph case ‘© Presented and passed Candidature Defence.\n& 'Sibrwa procrwesTenent ‘Draft ofthe dissertation reviewed by the Supervisor.\n4 ‘© Register for dissertation and perform the folowing activites: | OUTPUT OF SEM 4:\n+ Submit dissertation for examination.\n+ Make corrections based on examiner's feedback, if | Submitted dissertation for examination.\napplicable. ‘© Outcome of Committee of Examiners meeting.\n+ Submit final dissertation for Senate approval. ‘© Received Senate letter.\n+ Submit a progress report.\nNotes:\nMonitoring Panel\n1. The supervisor appoints a chairperson and 2 members who are experts in the field. A fourth member i\nnecessary.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\n«Ifthe research includes human participant, apply for\nethics approval\n‘+ Submit progress report\n3 ‘Register for dissertation and perform the folowing ectviies: | OUTPUT OF SEM 3:\n‘* Collect data/conduct experiment.\n‘© Analyse data © Collected data,\n‘* Prepare Candidature Defence report. © Analysed data\n‘* Conduct Candidature Defence presentation. ‘© Completed Candidature Defence report.\n‘© If passed Candidature Defence, prepare a draft of\nph case ‘© Presented and passed Candidature Defence.\n& 'Sibrwa procrwesTenent ‘Draft ofthe dissertation reviewed by the Supervisor.\n4 ‘© Register for dissertation and perform the folowing activites: | OUTPUT OF SEM 4:\n+ Submit dissertation for examination.\n+ Make corrections based on examiner's feedback, if | Submitted dissertation for examination.\napplicable. ‘© Outcome of Committee of Examiners meeting.\n+ Submit final dissertation for Senate approval. ‘© Received Senate letter.\n+ Submit a progress report.\nNotes:\nMonitoring Panel\n1. The supervisor appoints a chairperson and 2 members who are experts in the field. A fourth member i\nnecessary.\n\nKeywords: approval, candidature, data, defence, dissertation, draft, examination, folowing, output, passed, report, submit"}
+{"kb_id": "RAGKB-0376", "knowledge_group_id": "KG-0033", "source_chunk_id": "SC-00376", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 3", "pages": [42], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0021", "UMI-0208", "UMI-0209"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advise", "allowed", "appointed", "candidature", "defence", "examiner", "follow", "improving", "internal", "main", "member", "one"], "retrieval_tags": [], "source_text": "2. The same panel should follow through with the Proposal and Candidature Defence.\n3. tis strongly recommended that one member be appointed as the internal examiner.\n4, The main responsibilities of the panels are to advise the student in improving the research.\na\ng°\n(3\nallowed to be appointed if", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Graduate on Time (GOT) Schedule - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Computer Science (Applied Computing)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\n2. The same panel should follow through with the Proposal and Candidature Defence.\n3. tis strongly recommended that one member be appointed as the internal examiner.\n4, The main responsibilities of the panels are to advise the student in improving the research.\na\ng°\n(3\nallowed to be appointed if\n\nKeywords: advise, allowed, appointed, candidature, defence, examiner, follow, improving, internal, main, member, one"}
+{"kb_id": "RAGKB-0377", "knowledge_group_id": "KG-0032", "source_chunk_id": "SC-00377", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Course Plan", "title": "Master of Computer Science (Applied Computing) - Course Plan - chunk 1", "pages": [43], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0022", "UMI-0210", "UMI-0211"], "group_canonical_questions": ["What is the course plan for Master of Computer Science (Applied Computing)?", "How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What is the course plan for Master of Computer Science (Applied Computing)?", "How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?", "Could you explain the course plan for Master of Computer Science (Applied Computing)?", "Just asking, what's the course plan for Master of Computer Science (Applied Computing)?", "Could you explain how is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?", "So basically, how is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?", "Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000022", "qa_000210", "qa_000211", "qa_000438", "qa_000439", "qa_000735", "qa_000736", "qa_000737"], "grounded_answer_bank": ["The course plan spreads the programme across three study periods for each intake. For Semester I 2025/2026 intake, Research Methodology, Advanced Algorithms, Advanced Machine Learning, Autonomous Robotics, Advanced Internet of Things, and Data Analytics are shown early, while Cloud Computing, Security Risk Analysis and Evaluation, Augmented Reality, and Framework-Based Software Design and Development appear later; the dissertation begins after the coursework prerequisite is met and continues across subsequent semesters. For Semester II intake, Research Methodology and core theory courses move into Semester I 2026/2027, while Cloud Computing and Security Risk Analysis and Evaluation start earlier in Semester II 2025/2026. The handbook also notes that Research Methodology must be taken in the first semester and dissertation registration is allowed only after completing at least 6 credits of coursework."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "advanced", "after", "computing", "core courses", "course", "course plan", "courses", "credits", "dissertation", "methodology", "register", "required", "research", "semester", "semesters"], "retrieval_tags": ["course_plan", "master_of_computer_science_applied_computing", "postgraduate"], "source_text": "vee\nCOURSE PLAN ~ ~ .\nINTAKE SEMESTER | 2025/2026\nMASTER OF COMPUTER SCIENCE Credits | Semester! | Semester tt | Semester\n(APPLIED COMPUTING) 2025/2026 | 2025/2026 | 2026/2027\nCore Courses\nwox7001 __| *Research Methodology 3 a\nwoa7001 _| Advanced Algorithms 3 v\nwoar7015 —_| Advanced Machine Leaming 3 v\nwoa7016 | Cloud Computing 3 y\nwoarer7 _| Seeunty Rsk Anais and 3 r\nwoc7024 _| Dissertation 2 ca\nElective Courses [Students are required to choose any two (2) courses from the list below]\nwoa7018 —_| Autonomous Robotics 3 v\nwoa7019 _| Augmented Reality 3 y\nFramework-Based Software /\nWoc7014 | Design and Development : ~\nwoc7020 _| Advanced Internet of Things 3 v\nwan7003 —_| Data Analytics 3 v\n* Students are required to register for the Research Methodology course in their first semester\n** Students are only allowed to register for a Dissertation after completing six (6) credits of coursework.\nNote: The courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Course Plan - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Computer Science (Applied Computing)?\n- How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What is the course plan for Master of Computer Science (Applied Computing)?\n- How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?\n- Could you explain the course plan for Master of Computer Science (Applied Computing)?\n- Just asking, what's the course plan for Master of Computer Science (Applied Computing)?\n- Could you explain how is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?\n- So basically, how is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?\n- Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The course plan spreads the programme across three study periods for each intake. For Semester I 2025/2026 intake, Research Methodology, Advanced Algorithms, Advanced Machine Learning, Autonomous Robotics, Advanced Internet of Things, and Data Analytics are shown early, while Cloud Computing, Security Risk Analysis and Evaluation, Augmented Reality, and Framework-Based Software Design and Development appear later; the dissertation begins after the coursework prerequisite is met and continues across subsequent semesters. For Semester II intake, Research Methodology and core theory courses move into Semester I 2026/2027, while Cloud Computing and Security Risk Analysis and Evaluation start earlier in Semester II 2025/2026. The handbook also notes that Research Methodology must be taken in the first semester and dissertation registration is allowed only after completing at least 6 credits of coursework.\n\nSource chunk text:\nvee\nCOURSE PLAN ~ ~ .\nINTAKE SEMESTER | 2025/2026\nMASTER OF COMPUTER SCIENCE Credits | Semester! | Semester tt | Semester\n(APPLIED COMPUTING) 2025/2026 | 2025/2026 | 2026/2027\nCore Courses\nwox7001 __| *Research Methodology 3 a\nwoa7001 _| Advanced Algorithms 3 v\nwoar7015 —_| Advanced Machine Leaming 3 v\nwoa7016 | Cloud Computing 3 y\nwoarer7 _| Seeunty Rsk Anais and 3 r\nwoc7024 _| Dissertation 2 ca\nElective Courses [Students are required to choose any two (2) courses from the list below]\nwoa7018 —_| Autonomous Robotics 3 v\nwoa7019 _| Augmented Reality 3 y\nFramework-Based Software /\nWoc7014 | Design and Development : ~\nwoc7020 _| Advanced Internet of Things 3 v\nwan7003 —_| Data Analytics 3 v\n* Students are required to register for the Research Methodology course in their first semester\n** Students are only allowed to register for a Dissertation after completing six (6) credits of coursework.\nNote: The courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering\nms.\n\nKeywords: Master of Computer Science (Applied Computing), advanced, after, computing, core courses, course, course plan, courses, credits, dissertation, methodology, register, required, research, semester, semesters"}
+{"kb_id": "RAGKB-0378", "knowledge_group_id": "KG-0032", "source_chunk_id": "SC-00378", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "Course Plan", "title": "Master of Computer Science (Applied Computing) - Course Plan - chunk 2", "pages": [44], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0022", "UMI-0210", "UMI-0211"], "group_canonical_questions": ["What is the course plan for Master of Computer Science (Applied Computing)?", "How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["advanced", "after", "computing", "course", "courses", "credits", "dissertation", "methodology", "register", "required", "research", "semester"], "retrieval_tags": [], "source_text": "COURSE PLAN\nSse\nINTAKE SEMESTER II 2025/2026\n‘MASTER OF COMPUTER SCIENCE. credits | Semesterit | Semester! | Semester\n(APPLIED COMPUTING) 2025/2026 | 2026/2027 | 2026/2027\nCore Courses\nwox7001 _| *Research Methodology 3 v\nwoa7001__ | Advanced Algorithms 3 v\nWOA7015 _| Advanced Machine Learning 3 Y\nWoA7016 | Cloud Computing 3 v\nwoaror7 _| Sesuriy Risk Analyse and 5 F\nWoC7024 _| Dissertation 2 aa sal\nElective Courses [Students are required to choose any two (2) courses from the list below]\nWoA7018 _ | Autonomous Robotics 3 ¥\nwoa7019 | Augmented Reality 3 v\nWOC7020__| Advanced Internet of Things 3 #\nwan7003 _| Data Analytics 3 v\n* Students are required to register for the Research Methodology course in their first semester\n** Students are only allowed to register for a Dissertation after completing six (6) credits of coursework\nNote: The courses that will be offered every semester are subject to change, depending on the availabilty of\nstaff and the number of students registering\na\n_ ie\nmm”", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - Course Plan - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Computer Science (Applied Computing)?\n- How is the course plan for Master of Computer Science (Applied Computing) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nCOURSE PLAN\nSse\nINTAKE SEMESTER II 2025/2026\n‘MASTER OF COMPUTER SCIENCE. credits | Semesterit | Semester! | Semester\n(APPLIED COMPUTING) 2025/2026 | 2026/2027 | 2026/2027\nCore Courses\nwox7001 _| *Research Methodology 3 v\nwoa7001__ | Advanced Algorithms 3 v\nWOA7015 _| Advanced Machine Learning 3 Y\nWoA7016 | Cloud Computing 3 v\nwoaror7 _| Sesuriy Risk Analyse and 5 F\nWoC7024 _| Dissertation 2 aa sal\nElective Courses [Students are required to choose any two (2) courses from the list below]\nWoA7018 _ | Autonomous Robotics 3 ¥\nwoa7019 | Augmented Reality 3 v\nWOC7020__| Advanced Internet of Things 3 #\nwan7003 _| Data Analytics 3 v\n* Students are required to register for the Research Methodology course in their first semester\n** Students are only allowed to register for a Dissertation after completing six (6) credits of coursework\nNote: The courses that will be offered every semester are subject to change, depending on the availabilty of\nstaff and the number of students registering\na\n_ ie\nmm”\n\nKeywords: advanced, after, computing, course, courses, credits, dissertation, methodology, register, required, research, semester"}
+{"kb_id": "RAGKB-0379", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00379", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 1", "pages": [45, 46], "chunk_index": 1, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Could you tell me what courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Low-key, what courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Could you tell me which course titles are listed for Master of Computer Science (Applied Computing)?", "Real quick, which course titles are listed for Master of Computer Science (Applied Computing)?", "Could you tell me what subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000023", "qa_000440", "qa_000441", "qa_000738", "qa_000739", "qa_000740"], "grounded_answer_bank": ["The course list for Master of Computer Science (Applied Computing) includes the core courses WOX7001 Research Methodology, WOA7001 Advanced Algorithms, WOA7015 Advanced Machine Learning, WOA7016 Cloud Computing, WOA7017 Security Risk Analysis and Evaluation, and WOC7024 Dissertation. Students then choose any two electives from WOA7018 Autonomous Robotics, WOC7014 Framework-Based Software Design and Development, WOA7019 Augmented Reality, WOC7020 Advanced Internet of Things, and WQD7003 Data Analytics. The handbook notes that Research Methodology must be registered in the first semester and dissertation registration is allowed only after completing at least 6 credits of coursework.", "The listed course titles are Research Methodology, Advanced Algorithms, Advanced Machine Learning, Cloud Computing, Security Risk Analysis and Evaluation, Dissertation, Autonomous Robotics, Framework-Based Software Design and Development, Augmented Reality, Advanced Internet of Things, and Data Analytics.", "The listed courses cover research methods, advanced algorithms, machine learning, cloud computing, security risk analysis, robotics, software design and development, augmented reality, Internet of Things, data analytics, and dissertation-based research."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "advanced", "after", "code", "course contents", "course themes", "course titles", "courses", "credits", "dissertation", "methodology", "note", "register", "required", "research", "semester"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_computer_science_applied_computing", "postgraduate"], "source_text": "LIST OF COURSES\n& CONTENTS\nms\nQ\nCORE COURSES\nCode ‘Courses Credits\nWox7001* | Research Methodology* $s\nwoa7001 | Advanced Algorithms 3\nwoa7015_ | Advanced Machine Learning 3\nWOA7016 | Cloud Computing 3\nwoa7017 | Security Risk Analysis and Evaluation 3\nwoc7024_| Dissertation** 24\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the lists below)\nCode\nCourses\nCredits\nWOA7018\nwoc7014\nW0A7019\nwoc7020\n'WQD7003,\n‘Autonomous Robotics\nFramework-Based Software Design and Development\nAugmented Reality\nAdvanced Internet of Things\nData Analytics\neo ewe\nNote:\n* Students are required to register for the Research Methodology course in their first semester.\n** Students are only allowed to register for Dissertation after completing 6 credits of coursework.\nThe courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering.\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Could you tell me what courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Low-key, what courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Could you tell me which course titles are listed for Master of Computer Science (Applied Computing)?\n- Real quick, which course titles are listed for Master of Computer Science (Applied Computing)?\n- Could you tell me what subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The course list for Master of Computer Science (Applied Computing) includes the core courses WOX7001 Research Methodology, WOA7001 Advanced Algorithms, WOA7015 Advanced Machine Learning, WOA7016 Cloud Computing, WOA7017 Security Risk Analysis and Evaluation, and WOC7024 Dissertation. Students then choose any two electives from WOA7018 Autonomous Robotics, WOC7014 Framework-Based Software Design and Development, WOA7019 Augmented Reality, WOC7020 Advanced Internet of Things, and WQD7003 Data Analytics. The handbook notes that Research Methodology must be registered in the first semester and dissertation registration is allowed only after completing at least 6 credits of coursework.\n- The listed course titles are Research Methodology, Advanced Algorithms, Advanced Machine Learning, Cloud Computing, Security Risk Analysis and Evaluation, Dissertation, Autonomous Robotics, Framework-Based Software Design and Development, Augmented Reality, Advanced Internet of Things, and Data Analytics.\n- The listed courses cover research methods, advanced algorithms, machine learning, cloud computing, security risk analysis, robotics, software design and development, augmented reality, Internet of Things, data analytics, and dissertation-based research.\n\nSource chunk text:\nLIST OF COURSES\n& CONTENTS\nms\nQ\nCORE COURSES\nCode ‘Courses Credits\nWox7001* | Research Methodology* $s\nwoa7001 | Advanced Algorithms 3\nwoa7015_ | Advanced Machine Learning 3\nWOA7016 | Cloud Computing 3\nwoa7017 | Security Risk Analysis and Evaluation 3\nwoc7024_| Dissertation** 24\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the lists below)\nCode\nCourses\nCredits\nWOA7018\nwoc7014\nW0A7019\nwoc7020\n'WQD7003,\n‘Autonomous Robotics\nFramework-Based Software Design and Development\nAugmented Reality\nAdvanced Internet of Things\nData Analytics\neo ewe\nNote:\n* Students are required to register for the Research Methodology course in their first semester.\n** Students are only allowed to register for Dissertation after completing 6 credits of coursework.\nThe courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering.\nms.\n\nKeywords: Master of Computer Science (Applied Computing), advanced, after, code, course contents, course themes, course titles, courses, credits, dissertation, methodology, note, register, required, research, semester"}
+{"kb_id": "RAGKB-0380", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00380", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 2", "pages": [46], "chunk_index": 2, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": ["Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "matched_qa_ids": ["qa_000212", "qa_000213"], "grounded_answer_bank": ["The listed course titles are Research Methodology, Advanced Algorithms, Advanced Machine Learning, Cloud Computing, Security Risk Analysis and Evaluation, Dissertation, Autonomous Robotics, Framework-Based Software Design and Development, Augmented Reality, Advanced Internet of Things, and Data Analytics.", "The listed courses cover research methods, advanced algorithms, machine learning, cloud computing, security risk analysis, robotics, software design and development, augmented reality, Internet of Things, data analytics, and dissertation-based research."], "retrieval_keywords": ["Master of Computer Science (Applied Computing)", "able", "advanced", "algorithms", "analysis", "answering", "appropriate", "course", "course contents", "course themes", "course titles", "learning", "outcomes", "plan", "questions", "research"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_computer_science_applied_computing", "postgraduate"], "source_text": "eon\nWOX7001 —_Research Methodology Q 2\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\n'WOA7001 Advanced Algorithms\nCourse Learning Outcomes*", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nQuestion variants:\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nGrounded answer bank:\n- The listed course titles are Research Methodology, Advanced Algorithms, Advanced Machine Learning, Cloud Computing, Security Risk Analysis and Evaluation, Dissertation, Autonomous Robotics, Framework-Based Software Design and Development, Augmented Reality, Advanced Internet of Things, and Data Analytics.\n- The listed courses cover research methods, advanced algorithms, machine learning, cloud computing, security risk analysis, robotics, software design and development, augmented reality, Internet of Things, data analytics, and dissertation-based research.\n\nSource chunk text:\neon\nWOX7001 —_Research Methodology Q 2\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\n'WOA7001 Advanced Algorithms\nCourse Learning Outcomes*\n\nKeywords: Master of Computer Science (Applied Computing), able, advanced, algorithms, analysis, answering, appropriate, course, course contents, course themes, course titles, learning, outcomes, plan, questions, research"}
+{"kb_id": "RAGKB-0381", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00381", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 3", "pages": [46], "chunk_index": 3, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "algorithms", "course", "data", "design", "end", "learning", "machine", "problems", "solve", "structures"], "retrieval_tags": [], "source_text": "At the end of the course, students are able to:\n1. Explain major algorithms and data structures.\n2. Implement the algorithms and data structures to solve real-world problems.\n3. Develop ICT solutions with algorithms and data structures.\nSynopsis of Course Content\nThis course introduces students to the analysis and design of computer algorithms. Students will learn\nadvanced design techniques, important classical algorithms and data structures, and their\nimplementation in modern programming environments.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\nWOA7015_— Advanced Machine Learning\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\n2. Report the solution to machine learning problems by devising and listing the steps in machine\na leaming applied to solve different types of problems\n3)\nDemonstrate skills and knowledge on machine learning by managing a machine learning project\n(3", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nAt the end of the course, students are able to:\n1. Explain major algorithms and data structures.\n2. Implement the algorithms and data structures to solve real-world problems.\n3. Develop ICT solutions with algorithms and data structures.\nSynopsis of Course Content\nThis course introduces students to the analysis and design of computer algorithms. Students will learn\nadvanced design techniques, important classical algorithms and data structures, and their\nimplementation in modern programming environments.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\nWOA7015_— Advanced Machine Learning\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\n2. Report the solution to machine learning problems by devising and listing the steps in machine\na leaming applied to solve different types of problems\n3)\nDemonstrate skills and knowledge on machine learning by managing a machine learning project\n(3\n\nKeywords: able, advanced, algorithms, course, data, design, end, learning, machine, problems, solve, structures"}
+{"kb_id": "RAGKB-0382", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00382", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 4", "pages": [47], "chunk_index": 4, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "cloud", "computing", "concepts", "content", "course", "issues", "learning", "related", "such", "synopsis", "technologies"], "retrieval_tags": [], "source_text": "os\nQ\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision tree, neural network, and support vector machines as well\nas reinforcement learning.\nEvaluation and Weightage\nContinuous Assessment 2 50%\nFinal Examination + 50%\nWOA7016 Cloud Computing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the main concepts, key technologies, architecture and issues of cloud computing.\n2. Apply appropriate solutions to solve and manage complex problems in cloud computing.\n3. Deploy cloud applications using popular cloud platforms.\n‘Synopsis of Course Content\nThis course is designed to introduce students to the emerging issues related to cloud computing. This\ncourse will examine several aspects of the cloud such as concepts related to cloud computing\ntechnologies, cloud models, cloud platform, virtualisation and orchestration, web services and cloud\nstorages. This course also emphasises on practical implementations in developing and deploying", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nos\nQ\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision tree, neural network, and support vector machines as well\nas reinforcement learning.\nEvaluation and Weightage\nContinuous Assessment 2 50%\nFinal Examination + 50%\nWOA7016 Cloud Computing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the main concepts, key technologies, architecture and issues of cloud computing.\n2. Apply appropriate solutions to solve and manage complex problems in cloud computing.\n3. Deploy cloud applications using popular cloud platforms.\n‘Synopsis of Course Content\nThis course is designed to introduce students to the emerging issues related to cloud computing. This\ncourse will examine several aspects of the cloud such as concepts related to cloud computing\ntechnologies, cloud models, cloud platform, virtualisation and orchestration, web services and cloud\nstorages. This course also emphasises on practical implementations in developing and deploying\n\nKeywords: able, cloud, computing, concepts, content, course, issues, learning, related, such, synopsis, technologies"}
+{"kb_id": "RAGKB-0383", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00383", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 5", "pages": [47], "chunk_index": 5, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "assessment", "concepts", "continuous", "course", "evaluation", "examination", "final", "method", "methods", "risk", "security"], "retrieval_tags": [], "source_text": "cloud applications.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nWOA7017__ Security Risk Analysis and Evaluation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of security risk assessment.\n2. Apply suitable security risk assessment methods.\n3. Evaluate a particular security risk assessment method.\n‘Synopsis of Course Content\nThis course introduces the concepts and techniques used in security risk analysis and evaluation. It\nincludes a comprehensive explanation of the six basic phases of security risk assessment, i.e. project\ndefinition, project preparation, data gathering, risk analysis, risk mitigation, and risk reporting and\nresolution. The course also explains several risk assessment methods and describes techniques to\nmeasure the effectiveness of a particular method.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\ncloud applications.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nWOA7017__ Security Risk Analysis and Evaluation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of security risk assessment.\n2. Apply suitable security risk assessment methods.\n3. Evaluate a particular security risk assessment method.\n‘Synopsis of Course Content\nThis course introduces the concepts and techniques used in security risk analysis and evaluation. It\nincludes a comprehensive explanation of the six basic phases of security risk assessment, i.e. project\ndefinition, project preparation, data gathering, risk analysis, risk mitigation, and risk reporting and\nresolution. The course also explains several risk assessment methods and describes techniques to\nmeasure the effectiveness of a particular method.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nms.\n\nKeywords: analysis, assessment, concepts, continuous, course, evaluation, examination, final, method, methods, risk, security"}
+{"kb_id": "RAGKB-0384", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00384", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 6", "pages": [48], "chunk_index": 6, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "also", "approved", "area", "assessment", "candidature", "course", "defence", "dissertation", "project", "proposed", "research"], "retrieval_tags": [], "source_text": "WOC7024__—Dissertation Q\nCourse Learning Outcomes a\nAt the end of the course, students are able to:\n1. Report the literature review related to the proposed research project in the approved area.\n2. Implement a detailed research project based on the proposed research.\n3. Produce a dissertation of the research project\n‘Synopsis of Course Content\nThe dissertation is concerned with the guidance rendered by the supervisor to the student on the proper\nway of conducting a software engineering, computer science or information technology research\nproject, which could be in the form of face-to-face discussion, presentation, demonstration and\ncommunication. The dissertation also covers the identification of problem statements, understanding\nand formulation of the research objectives and research methodology to perform the research project\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\n*Students have to pass candidature seminars (proposal defence and candidature defence) before", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nWOC7024__—Dissertation Q\nCourse Learning Outcomes a\nAt the end of the course, students are able to:\n1. Report the literature review related to the proposed research project in the approved area.\n2. Implement a detailed research project based on the proposed research.\n3. Produce a dissertation of the research project\n‘Synopsis of Course Content\nThe dissertation is concerned with the guidance rendered by the supervisor to the student on the proper\nway of conducting a software engineering, computer science or information technology research\nproject, which could be in the form of face-to-face discussion, presentation, demonstration and\ncommunication. The dissertation also covers the identification of problem statements, understanding\nand formulation of the research objectives and research methodology to perform the research project\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\n*Students have to pass candidature seminars (proposal defence and candidature defence) before\n\nKeywords: able, also, approved, area, assessment, candidature, course, defence, dissertation, project, proposed, research"}
+{"kb_id": "RAGKB-0385", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00385", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 7", "pages": [48], "chunk_index": 7, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "autonomous", "course", "deep", "discuss", "dissertation", "examiners", "industrial", "learning", "reinforcement", "robotics", "will"], "retrieval_tags": [], "source_text": "‘submitting a dissertation for examination. Results of candidature seminars will be emailed to the\nstudents by the faculty.\n\"Dissertation will be examined by examiners. The final results will be decided by the committee of\nexaminers\nWOA7018 — Autonomous Robotics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Discuss the fundamental principles of autonomous robot.\n2. Design autonomous robots with bio-inspired Intelligence, deep neural networks and deep\nreinforcement learning.\n3. Discuss the aspects of artificial intelligence and autonomous robotics systems from industrial 4.0\nperspectives.\n‘Synopsis of Course Content\nThis course will present an introduction to autonomous robots from both academic and industrial\nviewpoints. For the academic part, emphasis will be given to recent advances in cognitive robotics,\ndeep reinforcement learning, which combines deep neural networks with reinforcement learning to\nprovide a framework for discovering suitable control actions (policies) and addressing complex tasks", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\n‘submitting a dissertation for examination. Results of candidature seminars will be emailed to the\nstudents by the faculty.\n\"Dissertation will be examined by examiners. The final results will be decided by the committee of\nexaminers\nWOA7018 — Autonomous Robotics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Discuss the fundamental principles of autonomous robot.\n2. Design autonomous robots with bio-inspired Intelligence, deep neural networks and deep\nreinforcement learning.\n3. Discuss the aspects of artificial intelligence and autonomous robotics systems from industrial 4.0\nperspectives.\n‘Synopsis of Course Content\nThis course will present an introduction to autonomous robots from both academic and industrial\nviewpoints. For the academic part, emphasis will be given to recent advances in cognitive robotics,\ndeep reinforcement learning, which combines deep neural networks with reinforcement learning to\nprovide a framework for discovering suitable control actions (policies) and addressing complex tasks\n\nKeywords: academic, autonomous, course, deep, discuss, dissertation, examiners, industrial, learning, reinforcement, robotics, will"}
+{"kb_id": "RAGKB-0386", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00386", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 8", "pages": [48], "chunk_index": 8, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "aspects", "assessment", "autonomous", "considered", "continuous", "evaluation", "examination", "explicit", "final", "industrial", "industry-focused"], "retrieval_tags": [], "source_text": "without explicit programming. For the industry-focused lectures, aspects of artificial intelligence and\nautonomous robotics systems will be considered from industrial 4.0 perspectives.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nms.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nwithout explicit programming. For the industry-focused lectures, aspects of artificial intelligence and\nautonomous robotics systems will be considered from industrial 4.0 perspectives.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nms.\n\nKeywords: artificial, aspects, assessment, autonomous, considered, continuous, evaluation, examination, explicit, final, industrial, industry-focused"}
+{"kb_id": "RAGKB-0387", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00387", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 9", "pages": [49], "chunk_index": 9, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "augmented", "course", "design", "development", "end", "framework", "framework-based", "innovative", "language", "reality", "software"], "retrieval_tags": [], "source_text": "Q\na.\nWOC7014 —_—- Framework-Based Software Design and Development %)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Identify the basic principles of framework-based software design and development.\n2. Design a framework-based software system.\n3. Construct a framework-based innovative software project using associated programming\nlanguage\nSynopsis of Course Content\nThis course introduces the design and development of software using framework. It includes\nspecification, implementation and configuration of an innovative software according to a specific\nframework, Students will learn the framework's programming language as well as the facilities\nprovided by the framework.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination + 40%\nWOA7019 Augmented Reality\nCourse Learning Outcomes\nAt the end of the course, students are able to:\nDescribe the technologies related to Augmented Reality.\nApply the related new technologies in the design of augmented reality applications.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nQ\na.\nWOC7014 —_—- Framework-Based Software Design and Development %)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Identify the basic principles of framework-based software design and development.\n2. Design a framework-based software system.\n3. Construct a framework-based innovative software project using associated programming\nlanguage\nSynopsis of Course Content\nThis course introduces the design and development of software using framework. It includes\nspecification, implementation and configuration of an innovative software according to a specific\nframework, Students will learn the framework's programming language as well as the facilities\nprovided by the framework.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination + 40%\nWOA7019 Augmented Reality\nCourse Learning Outcomes\nAt the end of the course, students are able to:\nDescribe the technologies related to Augmented Reality.\nApply the related new technologies in the design of augmented reality applications.\n\nKeywords: able, augmented, course, design, development, end, framework, framework-based, innovative, language, reality, software"}
+{"kb_id": "RAGKB-0388", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00388", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 10", "pages": [49], "chunk_index": 10, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "applications", "augmented", "course", "develop", "devices", "end", "human", "internet", "knowledge", "reality", "things"], "retrieval_tags": [], "source_text": "Develop interactive augmented reality applications for both PC based and mobile devices using a\nvariety of input devices.\n‘Synopsis of Course Content\nThis course is designed to introduce students with knowledge related to augmented reality concepts\nand technology. This is followed with a discussion on how knowledge about human sensory systems\ncan facilitate in designing ergonomic augmented reality devices that match human perceptual\ncapabilities. Students are then trained to develop an augmented application using a suitable\nprogramming language and 3D software. Towards the end of the course, there will be discussions on\nseveral examples of augmented reality applications with emphasis on the contributions of the\naugmented reality technology and future direction of this technology.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\n'WOC7020 = Advanced Internet of Things\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the architecture and key technologies of the Internet of Things.", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nDevelop interactive augmented reality applications for both PC based and mobile devices using a\nvariety of input devices.\n‘Synopsis of Course Content\nThis course is designed to introduce students with knowledge related to augmented reality concepts\nand technology. This is followed with a discussion on how knowledge about human sensory systems\ncan facilitate in designing ergonomic augmented reality devices that match human perceptual\ncapabilities. Students are then trained to develop an augmented application using a suitable\nprogramming language and 3D software. Towards the end of the course, there will be discussions on\nseveral examples of augmented reality applications with emphasis on the contributions of the\naugmented reality technology and future direction of this technology.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\n'WOC7020 = Advanced Internet of Things\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the architecture and key technologies of the Internet of Things.\n\nKeywords: able, applications, augmented, course, develop, devices, end, human, internet, knowledge, reality, things"}
+{"kb_id": "RAGKB-0389", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00389", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 11", "pages": [49], "chunk_index": 11, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["application", "areas", "aspects", "challenges", "communications", "components", "content", "course", "designed", "internet", "related", "things"], "retrieval_tags": [], "source_text": "2. Identify the challenges in the implementation of the Internet of Things.\n3. Solve problems related to the Internet of Things in wireless communications.\n‘Synopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to the Internet of Things.\nThis course will examine several aspects of the Internet of Things such as application areas related to\nthe Intemet of Things technologies, real-time models, local sensors, network components and\nvee\nQ", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\n2. Identify the challenges in the implementation of the Internet of Things.\n3. Solve problems related to the Internet of Things in wireless communications.\n‘Synopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to the Internet of Things.\nThis course will examine several aspects of the Internet of Things such as application areas related to\nthe Intemet of Things technologies, real-time models, local sensors, network components and\nvee\nQ\n\nKeywords: application, areas, aspects, challenges, communications, components, content, course, designed, internet, related, things"}
+{"kb_id": "RAGKB-0390", "knowledge_group_id": "KG-0034", "source_chunk_id": "SC-00390", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (Applied Computing)", "subsection": "List of Courses and Contents", "title": "Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 12", "pages": [50], "chunk_index": 12, "group_size_chunks": 12, "group_size_qas": 8, "linked_index_ids": ["UMI-0023", "UMI-0212", "UMI-0213"], "group_canonical_questions": ["What courses and course contents are listed for Master of Computer Science (Applied Computing)?", "Which course titles are listed for Master of Computer Science (Applied Computing)?", "What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analytics", "assessment", "continuous", "course", "data", "evaluation", "examination", "final", "learning", "problems", "suitable", "techniques"], "retrieval_tags": [], "source_text": "mm”\nOne\napplication-level components. This course also emphasises on solving problems related to wireless\ncommunications in developing and deploying the Internet of Things.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\n'WQD7003__— Data Analytics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of data analytics.\n2. Use suitable techniques for data pre-processing.\n3. Apply data analytics and machine learning techniques to solve real-world problems.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyze data using suitable data\nanalytics techniques\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%", "retrieval_text": "Title: Master of Computer Science (Applied Computing) - List of Courses and Contents - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (Applied Computing)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Computer Science (Applied Computing)?\n- Which course titles are listed for Master of Computer Science (Applied Computing)?\n- What subject areas or themes are covered by the listed courses in Master of Computer Science (Applied Computing)?\n\nSource chunk text:\nmm”\nOne\napplication-level components. This course also emphasises on solving problems related to wireless\ncommunications in developing and deploying the Internet of Things.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\n'WQD7003__— Data Analytics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of data analytics.\n2. Use suitable techniques for data pre-processing.\n3. Apply data analytics and machine learning techniques to solve real-world problems.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyze data using suitable data\nanalytics techniques\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\n\nKeywords: analytics, assessment, continuous, course, data, evaluation, examination, final, learning, problems, suitable, techniques"}
+{"kb_id": "RAGKB-0391", "knowledge_group_id": "KG-0052", "source_chunk_id": "SC-00391", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Requirements", "title": "Master of Software Engineering (Software Technology) - Programme Requirements - chunk 1", "pages": [52], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0024", "UMI-0214", "UMI-0215"], "group_canonical_questions": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "Could you list the programme requirements for Master of Software Engineering (Software Technology)?", "Quick one: what are the programme requirements for Master of Software Engineering (Software Technology)?", "Could you tell me what admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "Just asking, what admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000024", "qa_000214", "qa_000442", "qa_000443", "qa_000741", "qa_000742"], "grounded_answer_bank": ["The Master of Software Engineering (Software Technology) is a mixed-mode 42-credit programme consisting of coursework and research leading to a dissertation, with 50% of the total credits allocated to research. Its structure includes five 3-credit core courses, two 3-credit electives, and a 21-credit dissertation. Admission is intended for applicants from Computer Science, Information Technology, or related fields, normally with a CGPA of at least 3.00, while applicants with a CGPA of 2.70–2.99 may also be considered if they satisfy at least one additional criterion such as relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International applicants must meet the stated English requirements, and the recommended duration is four to eight semesters.", "The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "admission", "bachelor's", "cgpa", "degree", "entry", "entry qualifications", "field", "fields", "follows", "honours", "language", "least", "malay/malaysian", "programme requirements", "requirements"], "retrieval_tags": ["master_of_software_engineering_software_technology", "postgraduate", "programme_requirements"], "source_text": "PROGRAMME REQUIREMENTS\nSS\niy\n1. Programme Type\nThe Master of Software Engineering (Software Technology) programme which shall consist of\ncoursework and research leading to the submission of a dissertation in the candidate's area of\nstudy, whereby fifty percent (50%) of the total number of credits shall be for research.\n2. Admission Requirements\n- The general entry requirements to enrol in this programme are as follows:\nPass the Malaysian Certificate of Education (SPM)/equivalent with honours in\nMalay/Malaysian Language or honours in Malay/Malaysian Language of July Paper.\n- The special entry requirements to follow this programme are as follows:\nBachelor's Degree with a CGPA of not less than 3.00 in the field of Computer\n‘Science/Information Technology/related fields;\nOR\nBachelor's Degree with a CGPA of 2.70 — 2.99 in the field of Computer Science/Information\n‘Technology/related fields and meet at least one (1) of the following criteria:\ni. Graduated from Universiti Malaya\nii, Has at least one (1) year of working experience in a related field", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- Could you list the programme requirements for Master of Software Engineering (Software Technology)?\n- Quick one: what are the programme requirements for Master of Software Engineering (Software Technology)?\n- Could you tell me what admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- Just asking, what admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The Master of Software Engineering (Software Technology) is a mixed-mode 42-credit programme consisting of coursework and research leading to a dissertation, with 50% of the total credits allocated to research. Its structure includes five 3-credit core courses, two 3-credit electives, and a 21-credit dissertation. Admission is intended for applicants from Computer Science, Information Technology, or related fields, normally with a CGPA of at least 3.00, while applicants with a CGPA of 2.70–2.99 may also be considered if they satisfy at least one additional criterion such as relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International applicants must meet the stated English requirements, and the recommended duration is four to eight semesters.\n- The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.\n\nSource chunk text:\nPROGRAMME REQUIREMENTS\nSS\niy\n1. Programme Type\nThe Master of Software Engineering (Software Technology) programme which shall consist of\ncoursework and research leading to the submission of a dissertation in the candidate's area of\nstudy, whereby fifty percent (50%) of the total number of credits shall be for research.\n2. Admission Requirements\n- The general entry requirements to enrol in this programme are as follows:\nPass the Malaysian Certificate of Education (SPM)/equivalent with honours in\nMalay/Malaysian Language or honours in Malay/Malaysian Language of July Paper.\n- The special entry requirements to follow this programme are as follows:\nBachelor's Degree with a CGPA of not less than 3.00 in the field of Computer\n‘Science/Information Technology/related fields;\nOR\nBachelor's Degree with a CGPA of 2.70 — 2.99 in the field of Computer Science/Information\n‘Technology/related fields and meet at least one (1) of the following criteria:\ni. Graduated from Universiti Malaya\nii, Has at least one (1) year of working experience in a related field\n\nKeywords: Master of Software Engineering (Software Technology), admission, bachelor's, cgpa, degree, entry, entry qualifications, field, fields, follows, honours, language, least, malay/malaysian, programme requirements, requirements"}
+{"kb_id": "RAGKB-0392", "knowledge_group_id": "KG-0052", "source_chunk_id": "SC-00392", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Requirements", "title": "Master of Software Engineering (Software Technology) - Programme Requirements - chunk 2", "pages": [52], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0024", "UMI-0214", "UMI-0215"], "group_canonical_questions": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "degree", "english", "faculty's", "higher", "ielts", "language", "pass", "requirements", "score", "test", "time"], "retrieval_tags": [], "source_text": "ii, Has produced publications in the relevant fields\niv. Scholarship recipient\nv. _ Is anemployee of a government agency\nvi. Pass the faculty's interview; or\nvi. Pass the faculty's special assessment\nOR\n‘Other qualifications approved by the Senate from time to time\nAND\n- English Language Competency Requirements\n© Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree\nin question, who wish to follow a degree programme andlor to write their dissertation\nin English, are required to meet the following requirements:\ni. Amminimum score of 550 for the Paper-Based Test (PBT), a score of 213 for\nthe Computer-Based Test (CBT) or a score of 80 for the Internet-Based Test\n(IBT) for the Test of English as a Foreign Language (TOEFL);\nii, Minimum band 6.0 for the International English Language Testing System\n(IELTS) (Academic);\nili, Scores according to the respective programme standards if higher than i, and\nit;\niv. For any programme standard that places the TOEFL or IELTS (Academic)", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nii, Has produced publications in the relevant fields\niv. Scholarship recipient\nv. _ Is anemployee of a government agency\nvi. Pass the faculty's interview; or\nvi. Pass the faculty's special assessment\nOR\n‘Other qualifications approved by the Senate from time to time\nAND\n- English Language Competency Requirements\n© Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree\nin question, who wish to follow a degree programme andlor to write their dissertation\nin English, are required to meet the following requirements:\ni. Amminimum score of 550 for the Paper-Based Test (PBT), a score of 213 for\nthe Computer-Based Test (CBT) or a score of 80 for the Internet-Based Test\n(IBT) for the Test of English as a Foreign Language (TOEFL);\nii, Minimum band 6.0 for the International English Language Testing System\n(IELTS) (Academic);\nili, Scores according to the respective programme standards if higher than i, and\nit;\niv. For any programme standard that places the TOEFL or IELTS (Academic)\n\nKeywords: academic, degree, english, faculty's, higher, ielts, language, pass, requirements, score, test, time"}
+{"kb_id": "RAGKB-0393", "knowledge_group_id": "KG-0052", "source_chunk_id": "SC-00393", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Requirements", "title": "Master of Software Engineering (Software Technology) - Programme Requirements - chunk 3", "pages": [52], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0024", "UMI-0214", "UMI-0215"], "group_canonical_questions": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "been", "english", "follow", "has", "lower", "minimum", "must", "pearson", "programmes", "pte", "score"], "retrieval_tags": [], "source_text": "score lower than the University's minimum score, those programmes must\nfollow the minimum score that has been set by the University;\nVv. _ Minimum soore of 57 Pearson Test of Academic English (PTE Academic);", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Requirements - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nscore lower than the University's minimum score, those programmes must\nfollow the minimum score that has been set by the University;\nVv. _ Minimum soore of 57 Pearson Test of Academic English (PTE Academic);\n\nKeywords: academic, been, english, follow, has, lower, minimum, must, pearson, programmes, pte, score"}
+{"kb_id": "RAGKB-0394", "knowledge_group_id": "KG-0052", "source_chunk_id": "SC-00394", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Requirements", "title": "Master of Software Engineering (Software Technology) - Programme Requirements - chunk 4", "pages": [53], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0024", "UMI-0214", "UMI-0215"], "group_canonical_questions": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?", "Could you tell me what study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000215", "qa_000743"], "grounded_answer_bank": ["Master of Software Engineering (Software Technology) as a coursework-mode programme following the listed course plan and course-content structure."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "assessment", "cambridge", "credit structure", "credits", "duration", "education", "english", "format", "grade", "language", "minimum", "software", "study", "study mode", "subject"], "retrieval_tags": ["master_of_software_engineering_software_technology", "postgraduate", "programme_requirements"], "source_text": "iy\nvi. Minimum grade C for English subject in General Certificate of Education (A-\nLevel);\nvi Minimum grade C in B2 First by Cambridge Assessment English;\nvil, Minimum grade C in C1 Advanced by Cambridge Assessment English; or\nix. Minimum grade C in C2 Proficiency by Cambridge Assessment English\n¢ Non-citizen applicants with the following backgrounds are exempt from the prescribed\nEnglish language qualification requirements\ni. Comes from a country where English is the national language:\nii, Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\nii, Have studied in Malaysia and intend to pursue further education, subject to\ncondition ii,\nDuration of Study\nThe recommended study duration is between four (4) to eight (8) semesters.\nProgramme Structure\n(1) The Master of Software Engineering (Software Technology) Programme consisting of\ncoursework and dissertation shall consist of forty-two (42) credits comprising two parts,\nnamely:\n(a) Part | which consists of\n(i) five (5) core courses, each three credits;\nand", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Requirements - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n- Could you tell me what study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- Master of Software Engineering (Software Technology) as a coursework-mode programme following the listed course plan and course-content structure.\n\nSource chunk text:\niy\nvi. Minimum grade C for English subject in General Certificate of Education (A-\nLevel);\nvi Minimum grade C in B2 First by Cambridge Assessment English;\nvil, Minimum grade C in C1 Advanced by Cambridge Assessment English; or\nix. Minimum grade C in C2 Proficiency by Cambridge Assessment English\n¢ Non-citizen applicants with the following backgrounds are exempt from the prescribed\nEnglish language qualification requirements\ni. Comes from a country where English is the national language:\nii, Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\nii, Have studied in Malaysia and intend to pursue further education, subject to\ncondition ii,\nDuration of Study\nThe recommended study duration is between four (4) to eight (8) semesters.\nProgramme Structure\n(1) The Master of Software Engineering (Software Technology) Programme consisting of\ncoursework and dissertation shall consist of forty-two (42) credits comprising two parts,\nnamely:\n(a) Part | which consists of\n(i) five (5) core courses, each three credits;\nand\n\nKeywords: Master of Software Engineering (Software Technology), assessment, cambridge, credit structure, credits, duration, education, english, format, grade, language, minimum, software, study, study mode, subject"}
+{"kb_id": "RAGKB-0395", "knowledge_group_id": "KG-0052", "source_chunk_id": "SC-00395", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Requirements", "title": "Master of Software Engineering (Software Technology) - Programme Requirements - chunk 5", "pages": [53], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0024", "UMI-0214", "UMI-0215"], "group_canonical_questions": ["What are the programme requirements for Master of Software Engineering (Software Technology)?", "What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?", "What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approved", "candidates", "combination", "courses", "credits", "each", "list", "senate", "shall", "software", "start", "time"], "retrieval_tags": [], "source_text": "(ii) two (2) elective courses, each three credits\n(b) Part iI which consists of twenty one (21) credits, shall consist of research leading\nto the submission of a dissertation.\n(2) Details of courses offered are of those approved by the Senate from time to time on the\nrecommendation of the Faculty and shall be made known to the candidates at the start\nof each session\n(3) The list of Senate approved courses for the Master of Software Engineering\n(Software Technology) is as indicated in List 1. Candidates shall be informed of the\nprescribed combination of courses for this programme prior to registration at the start of\ntheir study programme", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Requirements - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Software Engineering (Software Technology)?\n- What admission background or entry qualifications are described for Master of Software Engineering (Software Technology)?\n- What study mode, credit structure, or programme format is indicated for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\n(ii) two (2) elective courses, each three credits\n(b) Part iI which consists of twenty one (21) credits, shall consist of research leading\nto the submission of a dissertation.\n(2) Details of courses offered are of those approved by the Senate from time to time on the\nrecommendation of the Faculty and shall be made known to the candidates at the start\nof each session\n(3) The list of Senate approved courses for the Master of Software Engineering\n(Software Technology) is as indicated in List 1. Candidates shall be informed of the\nprescribed combination of courses for this programme prior to registration at the start of\ntheir study programme\n\nKeywords: approved, candidates, combination, courses, credits, each, list, senate, shall, software, start, time"}
+{"kb_id": "RAGKB-0396", "knowledge_group_id": "KG-0051", "source_chunk_id": "SC-00396", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 1", "pages": [54], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0025", "UMI-0216", "UMI-0217"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?", "Could you list the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "BTW, what are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "Could you tell me what learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000025", "qa_000216", "qa_000217", "qa_000444", "qa_000445", "qa_000746"], "grounded_answer_bank": ["The programme educational objectives focus on producing practising software engineering professionals, supporting continuous knowledge growth and teamwork for industry or academia, and contributing to sustainable development through professional skills and ethics. The learning outcomes emphasise mastery of advanced and current software engineering concepts, problem solving, analysis, design, development and maintenance of quality software, application of mathematical skills in the software life cycle, effective communication, leadership, teamwork, innovation, and ethical professionalism.", "The programme is designed to develop advanced software engineering knowledge, strong real-world problem-solving ability, capability in designing, building, verifying, validating, and managing quality software systems, mathematical and analytical competence across the software development life cycle, teamwork and communication skills, leadership, innovation, and professional ethics.", "The programme outcomes for Master of Software Engineering (Software Technology) emphasize advanced software engineering knowledge, problem solving, professional and ethical responsibility, communication, and the ability to apply what is learned in practice."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "able", "after", "development", "engineering", "graduate capabilities", "graduates", "have", "learning", "learning outcomes", "master", "outcome", "outcomes", "peo", "software", "themes"], "retrieval_tags": ["master_of_software_engineering_software_technology", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "oy\n=)\nPROGRAMME OBJECTIVES &\nOUTCOMES\noe\nPROGRAMME EDUCATIONAL OBJECTIVE(S) (PEO)\nGraduates would have established themselves as practising professionals in software\nPEO 1 | engineering or related areas. (Professionalism)\nGraduates able to continuously pursue new knowledge to improve their competency\nPEO 2 | and subsequently work in teams to contribute to the industry or academia in software\nengineering. (Ongoing Personal Development)\nGraduates have contributed to sustainable development and the well-being of the\nPEO 3 _| society through professional skills and ethics in the discipline of software engineering.\n(Societal Engagement)\n(Assessed after 3 - 5 years after students graduated)\nPROGRAMME LEARNING OUTCOME(S) (PLO)\nAt the end of Master of Software Engineering (Software Technology) programme, graduates are able\nto\nMQF Cluster of | Taxonomy\nNo. Programme Learning Outcome(s) (PLO) ‘Learning Category\nOutcomes (KIP/Ay\"\nrior | Master the advanced concepts and the latest iRnselecbs “a '\ntheories in software engineering liebe in\n‘Apply problem solving skills and software ae", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?\n- Could you list the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- BTW, what are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- Could you tell me what learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The programme educational objectives focus on producing practising software engineering professionals, supporting continuous knowledge growth and teamwork for industry or academia, and contributing to sustainable development through professional skills and ethics. The learning outcomes emphasise mastery of advanced and current software engineering concepts, problem solving, analysis, design, development and maintenance of quality software, application of mathematical skills in the software life cycle, effective communication, leadership, teamwork, innovation, and ethical professionalism.\n- The programme is designed to develop advanced software engineering knowledge, strong real-world problem-solving ability, capability in designing, building, verifying, validating, and managing quality software systems, mathematical and analytical competence across the software development life cycle, teamwork and communication skills, leadership, innovation, and professional ethics.\n- The programme outcomes for Master of Software Engineering (Software Technology) emphasize advanced software engineering knowledge, problem solving, professional and ethical responsibility, communication, and the ability to apply what is learned in practice.\n\nSource chunk text:\noy\n=)\nPROGRAMME OBJECTIVES &\nOUTCOMES\noe\nPROGRAMME EDUCATIONAL OBJECTIVE(S) (PEO)\nGraduates would have established themselves as practising professionals in software\nPEO 1 | engineering or related areas. (Professionalism)\nGraduates able to continuously pursue new knowledge to improve their competency\nPEO 2 | and subsequently work in teams to contribute to the industry or academia in software\nengineering. (Ongoing Personal Development)\nGraduates have contributed to sustainable development and the well-being of the\nPEO 3 _| society through professional skills and ethics in the discipline of software engineering.\n(Societal Engagement)\n(Assessed after 3 - 5 years after students graduated)\nPROGRAMME LEARNING OUTCOME(S) (PLO)\nAt the end of Master of Software Engineering (Software Technology) programme, graduates are able\nto\nMQF Cluster of | Taxonomy\nNo. Programme Learning Outcome(s) (PLO) ‘Learning Category\nOutcomes (KIP/Ay\"\nrior | Master the advanced concepts and the latest iRnselecbs “a '\ntheories in software engineering liebe in\n‘Apply problem solving skills and software ae\n\nKeywords: Master of Software Engineering (Software Technology), able, after, development, engineering, graduate capabilities, graduates, have, learning, learning outcomes, master, outcome, outcomes, peo, software, themes"}
+{"kb_id": "RAGKB-0397", "knowledge_group_id": "KG-0051", "source_chunk_id": "SC-00397", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 2", "pages": [54], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0025", "UMI-0216", "UMI-0217"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["Could you tell me what graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?", "Quick one: what graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?"], "matched_qa_ids": ["qa_000744", "qa_000745"], "grounded_answer_bank": ["The programme is designed to develop advanced software engineering knowledge, strong real-world problem-solving ability, capability in designing, building, verifying, validating, and managing quality software systems, mathematical and analytical competence across the software development life cycle, teamwork and communication skills, leadership, innovation, and professional ethics."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "ability", "able", "aim", "ale", "ana", "analyse", "any", "apply", "applying", "engineering", "graduate capabilities", "outcomes", "skills", "software"], "retrieval_tags": ["master_of_software_engineering_software_technology", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "PLO2 ergnecring knowledge to solve real-world | oantive Skis) K\n‘Analyse, design, develop and maintain software\nLog | Solutions by applying software engineering CLS3A eB\nprinciples, standards, methods, techniques and | (Practical Skills) 7\ntools with the aim to engineer quality software.\nCLs3B\nMaster the ability to apply mathematical skills in the\nPLO4 (Digital ana KP\nsoftware development life cycle. Nuneracy Sle)\nCommunicate effectively, verbally and in witing, | inter osscral and\nPLOS | and able to work in team in carrying out software | ('erpersonal any PA\nengineering projects Ski\nills)\nDemonstrate leadership that is consistent with jiectonth\nPLO6 | professional code of ethics in software engineering Prsiestie em PA\ncae ale Responsibility)\na", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- Could you tell me what graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n- Quick one: what graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n\nGrounded answer bank:\n- The programme is designed to develop advanced software engineering knowledge, strong real-world problem-solving ability, capability in designing, building, verifying, validating, and managing quality software systems, mathematical and analytical competence across the software development life cycle, teamwork and communication skills, leadership, innovation, and professional ethics.\n\nSource chunk text:\nPLO2 ergnecring knowledge to solve real-world | oantive Skis) K\n‘Analyse, design, develop and maintain software\nLog | Solutions by applying software engineering CLS3A eB\nprinciples, standards, methods, techniques and | (Practical Skills) 7\ntools with the aim to engineer quality software.\nCLs3B\nMaster the ability to apply mathematical skills in the\nPLO4 (Digital ana KP\nsoftware development life cycle. Nuneracy Sle)\nCommunicate effectively, verbally and in witing, | inter osscral and\nPLOS | and able to work in team in carrying out software | ('erpersonal any PA\nengineering projects Ski\nills)\nDemonstrate leadership that is consistent with jiectonth\nPLO6 | professional code of ethics in software engineering Prsiestie em PA\ncae ale Responsibility)\na\n\nKeywords: Master of Software Engineering (Software Technology), ability, able, aim, ale, ana, analyse, any, apply, applying, engineering, graduate capabilities, outcomes, skills, software"}
+{"kb_id": "RAGKB-0398", "knowledge_group_id": "KG-0051", "source_chunk_id": "SC-00398", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Programme Objectives and Outcomes", "title": "Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 3", "pages": [55], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0025", "UMI-0216", "UMI-0217"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?", "What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?", "What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affective", "characters", "cls4", "code", "cognitive", "engineering", "ethics", "peo", "plo", "plo7", "plos", "software"], "retrieval_tags": [], "source_text": "discipline\ncLs4\nPLo7 | Practice technical and societal innovation through (Personal and RA\nsoftware engineering technologies. Entrepreneurial\nSkills)\nDemonstrate characters that are in line with LSS\nPLO8 _| professional code of ethics in software engineering (Ethics and KA\nProfessionalism)\n‘*K - Cognitive; A - Affective; P - Psychomotor\nMATRIX of MAPPING OF PLO to PEO.\nPLO\nPEO\nPEO1 PEO2 PEOS\nPLO1\nPLo2\nPLO3\nPLO4\nPLOS\nPLoS\nPLO7\nPLos", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Programme Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Software Engineering (Software Technology)?\n- What graduate capabilities or professional strengths does Master of Software Engineering (Software Technology) aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\ndiscipline\ncLs4\nPLo7 | Practice technical and societal innovation through (Personal and RA\nsoftware engineering technologies. Entrepreneurial\nSkills)\nDemonstrate characters that are in line with LSS\nPLO8 _| professional code of ethics in software engineering (Ethics and KA\nProfessionalism)\n‘*K - Cognitive; A - Affective; P - Psychomotor\nMATRIX of MAPPING OF PLO to PEO.\nPLO\nPEO\nPEO1 PEO2 PEOS\nPLO1\nPLo2\nPLO3\nPLO4\nPLOS\nPLoS\nPLO7\nPLos\n\nKeywords: affective, characters, cls4, code, cognitive, engineering, ethics, peo, plo, plo7, plos, software"}
+{"kb_id": "RAGKB-0399", "knowledge_group_id": "KG-0047", "source_chunk_id": "SC-00399", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Candidature Requirements", "title": "Master of Software Engineering (Software Technology) - Candidature Requirements - chunk 1", "pages": [56], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 8, "linked_index_ids": ["UMI-0026", "UMI-0218", "UMI-0219"], "group_canonical_questions": ["What are the candidature requirements for Master of Software Engineering (Software Technology)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?", "What timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What are the candidature requirements for Master of Software Engineering (Software Technology)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?", "What timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?", "Could you list the candidature requirements for Master of Software Engineering (Software Technology)?", "Ngl, what are the candidature requirements for Master of Software Engineering (Software Technology)?", "Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?", "Ngl, what academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?", "Could you tell me what timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000026", "qa_000218", "qa_000219", "qa_000446", "qa_000447", "qa_000747", "qa_000748", "qa_000749"], "grounded_answer_bank": ["The candidature requirements for Master of Software Engineering (Software Technology) include a minimum candidature duration of 4 semesters, together with the university's language and related candidature conditions where applicable.", "The candidature requirements include Fulfil the minimum candidature duration of 4 semesters.; Fulfil the University language requirement (Bahasa Malaysia and English) not later than the second (2nd) semester of candidature.; Fulfil the residential requirement of 6 months.; Proposal Defence at the beginning of the research component registration.; Present research progress in a Candidature Defence session as required by the Faculty."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "academic conditions", "bahasa", "beginning", "candidature", "candidature requirements", "component", "defence", "duration", "engineering", "english", "fulfil", "milestones", "requirement", "research", "software"], "retrieval_tags": ["candidature_requirements", "master_of_software_engineering_software_technology", "postgraduate"], "source_text": "CANDIDATURE\nREQUIREMENTS\nMaster of Software Engineering (Software Technology)\nNo Requirement\n1. | Fulfil the minimum candidature duration of 4 semesters.\n2, _| Fulfil the University language requirement (Bahasa Malaysia and English) not later\nthan the second (2nd) semester of candidature.\n3. _ | Fulfil the residential requirement of 6 months.\nPresentation\n‘* Proposal Defence at the beginning of the research component registration.\n4. | © Present research progress in a Candidature Defence session as required by\nthe Faculty.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Candidature Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Master of Software Engineering (Software Technology)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n- What timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What are the candidature requirements for Master of Software Engineering (Software Technology)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n- What timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n- Could you list the candidature requirements for Master of Software Engineering (Software Technology)?\n- Ngl, what are the candidature requirements for Master of Software Engineering (Software Technology)?\n- Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n- Ngl, what academic or administrative conditions are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n- Could you tell me what timeline or milestone expectations are highlighted under candidature requirements for Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The candidature requirements for Master of Software Engineering (Software Technology) include a minimum candidature duration of 4 semesters, together with the university's language and related candidature conditions where applicable.\n- The candidature requirements include Fulfil the minimum candidature duration of 4 semesters.; Fulfil the University language requirement (Bahasa Malaysia and English) not later than the second (2nd) semester of candidature.; Fulfil the residential requirement of 6 months.; Proposal Defence at the beginning of the research component registration.; Present research progress in a Candidature Defence session as required by the Faculty.\n\nSource chunk text:\nCANDIDATURE\nREQUIREMENTS\nMaster of Software Engineering (Software Technology)\nNo Requirement\n1. | Fulfil the minimum candidature duration of 4 semesters.\n2, _| Fulfil the University language requirement (Bahasa Malaysia and English) not later\nthan the second (2nd) semester of candidature.\n3. _ | Fulfil the residential requirement of 6 months.\nPresentation\n‘* Proposal Defence at the beginning of the research component registration.\n4. | © Present research progress in a Candidature Defence session as required by\nthe Faculty.\n\nKeywords: Master of Software Engineering (Software Technology), academic conditions, bahasa, beginning, candidature, candidature requirements, component, defence, duration, engineering, english, fulfil, milestones, requirement, research, software"}
+{"kb_id": "RAGKB-0400", "knowledge_group_id": "KG-0049", "source_chunk_id": "SC-00400", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Software Engineering (Software Technology) - Graduate on Time (GOT) Schedule - chunk 1", "pages": [57], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0027", "UMI-0220", "UMI-0221"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?", "Could you explain the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "So basically, what's the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "Could you tell me what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "Quick check: what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "Could you tell me what completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000027", "qa_000220", "qa_000221", "qa_000448", "qa_000449", "qa_000750", "qa_000751", "qa_000752"], "grounded_answer_bank": ["The Graduate on Time schedule indicates a staged completion path: students are expected to complete Research Methodology early, finish the core and elective coursework on schedule, identify a dissertation area and potential research topic, appoint a supervisor, register the Dissertation course, and then complete the dissertation within the planned candidature timeline."], "retrieval_keywords": ["GOT schedule", "Master of Software Engineering (Software Technology)", "activities", "all", "applicable", "area", "completed", "course", "courses", "dissertation", "milestones", "offered", "on-time graduation", "research", "semester", "timeline", "topic"], "retrieval_tags": ["graduate_on_time_got_schedule", "master_of_software_engineering_software_technology", "postgraduate"], "source_text": "cae\nGRADUATE ON TIME(GOT)\nSCHEDULE\n‘Semester Activities ‘Output/Milestone\nAttend Bahasa Melayu course (applicable ‘Completed Bahasa\nto international candidates), Melayu course (applicable\n‘© Complete all core courses offered to international\n(including Research Methodology), and 1 candidates).\noF 2 elective courses offered in the current ‘Completed all selected\n1 semester. courses.\n* Attend relevant workshops/research ‘Completed relevant\nseminars (e.g., EndNote, Turnitin). workshops/research\n‘© Start thinking of research area for seminars,\ndissertation ‘Some idea of research\narea for dissertation.\n‘* Complete all core courses offered, and 1 ‘Completed all selected\noF 2 elective courses offered in the current courses.\nsemester. Potential research topic\n‘¢ Register for the Dissertation course and Supervisor appointment\nperform the following activities: ‘Completed Proposal\n© choose a research topic from a list Defence report.\ncollated by programme coordinator |e Presented and passed\nor propose own research topic to Proposal Defence", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Graduate on Time (GOT) Schedule - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?\n- Could you explain the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- So basically, what's the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- Could you tell me what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- Quick check: what key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- Could you tell me what completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The Graduate on Time schedule indicates a staged completion path: students are expected to complete Research Methodology early, finish the core and elective coursework on schedule, identify a dissertation area and potential research topic, appoint a supervisor, register the Dissertation course, and then complete the dissertation within the planned candidature timeline.\n\nSource chunk text:\ncae\nGRADUATE ON TIME(GOT)\nSCHEDULE\n‘Semester Activities ‘Output/Milestone\nAttend Bahasa Melayu course (applicable ‘Completed Bahasa\nto international candidates), Melayu course (applicable\n‘© Complete all core courses offered to international\n(including Research Methodology), and 1 candidates).\noF 2 elective courses offered in the current ‘Completed all selected\n1 semester. courses.\n* Attend relevant workshops/research ‘Completed relevant\nseminars (e.g., EndNote, Turnitin). workshops/research\n‘© Start thinking of research area for seminars,\ndissertation ‘Some idea of research\narea for dissertation.\n‘* Complete all core courses offered, and 1 ‘Completed all selected\noF 2 elective courses offered in the current courses.\nsemester. Potential research topic\n‘¢ Register for the Dissertation course and Supervisor appointment\nperform the following activities: ‘Completed Proposal\n© choose a research topic from a list Defence report.\ncollated by programme coordinator |e Presented and passed\nor propose own research topic to Proposal Defence\n\nKeywords: GOT schedule, Master of Software Engineering (Software Technology), activities, all, applicable, area, completed, course, courses, dissertation, milestones, offered, on-time graduation, research, semester, timeline, topic"}
+{"kb_id": "RAGKB-0401", "knowledge_group_id": "KG-0049", "source_chunk_id": "SC-00401", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Software Engineering (Software Technology) - Graduate on Time (GOT) Schedule - chunk 2", "pages": [57], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0027", "UMI-0220", "UMI-0221"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?", "What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["agreed", "approval", "defence", "dissertation", "ethics", "presentation", "progress", "proposal", "report", "research", "semester", "supervisor"], "retrieval_tags": [], "source_text": "potential supervisor. The research | ¢ Obtained ethics approval\ntopic must include Software (if applicable).\nEngineering research element. Submitted progress report\n© Appoint a supervisor for\ndissertation in the first semester\nthe student registered for the\nDissertation course. This is done\n2 by submitting the Appointment of\n‘Supervisor form (which includes a\ntentative dissertation topictttle\nagreed by the supervisor) to the\nfaculty's Postgraduate Office by\nthe stipulated deadiine (which is\nusually no later than the 7th week\nof a semester)\n© Prepare for Proposal Defence\n(report and presentation),\n© Conduct Proposal Defence\npresentation\nRe-do Proposal Defence if failed.\n‘Apply for ethics approval if the\nresearch involves human\nparticipants and/or animals.\n© Submit progress report", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Graduate on Time (GOT) Schedule - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What key semester-by-semester milestones appear in the Graduate on Time schedule for Master of Software Engineering (Software Technology)?\n- What completion timeline does the handbook suggest for on-time graduation in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\npotential supervisor. The research | ¢ Obtained ethics approval\ntopic must include Software (if applicable).\nEngineering research element. Submitted progress report\n© Appoint a supervisor for\ndissertation in the first semester\nthe student registered for the\nDissertation course. This is done\n2 by submitting the Appointment of\n‘Supervisor form (which includes a\ntentative dissertation topictttle\nagreed by the supervisor) to the\nfaculty's Postgraduate Office by\nthe stipulated deadiine (which is\nusually no later than the 7th week\nof a semester)\n© Prepare for Proposal Defence\n(report and presentation),\n© Conduct Proposal Defence\npresentation\nRe-do Proposal Defence if failed.\n‘Apply for ethics approval if the\nresearch involves human\nparticipants and/or animals.\n© Submit progress report\n\nKeywords: agreed, approval, defence, dissertation, ethics, presentation, progress, proposal, report, research, semester, supervisor"}
+{"kb_id": "RAGKB-0402", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00402", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 1", "pages": [59], "chunk_index": 1, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?", "Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000028", "qa_000222", "qa_000223", "qa_000755"], "grounded_answer_bank": ["The course plan organises the programme across multiple semesters for each intake. The core set includes Research Methodology, Architecting Software Systems, Framework-Based Software Design and Development, Software Verification and Validation, Software Project Management, and Dissertation. Students then select two electives such as Big Data Processing, Requirements Engineering, User Experience Design Studio, Advanced Internet of Things, Advanced Machine Learning, or Security Risk Analysis and Evaluation. The handbook notes that Research Methodology must be taken in the first semester, and dissertation registration requires at least 6 credits of passed coursework together with having taken or being enrolled in Research Methodology.", "The course plan shows the major taught components through a semester-by-semester arrangement of core courses, electives, and any required research methodology or dissertation-related components."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "core courses", "course", "course plan", "courses", "credits", "dissertation", "engineering", "methodology", "register", "required", "research", "semester", "semesters", "software", "wox7001"], "retrieval_tags": ["course_plan", "master_of_software_engineering_software_technology", "postgraduate"], "source_text": "cae\nCOURSE PLAN\nINTAKE SEMESTER | 2025/2026\nMASTER OF SOFTWARE ENGINEERING ‘Sem Semit ‘SemI\n(SOFTWARE TECHNOLOGY) Credits | 2025/2026 | 2025/2026 | 2026/2027\nCore Courses\nwox7001* | Research Methodology 3 v\n‘Architecting Software\nwocroo | Srchtect 3 v\nFramework Based\nwoc7014 | Software Design and 3 v\nDevelopment\nSoftware Verification and 3 qi\nWoC7015 _| Validation =\nSoftware Project 3 j\nwoor0t | Nanagement V\na Dissertation (P1) 9 vn\nWOC7024 v=\neH Dissertation (P2) 2\nElective Courses [Students are required to choose any 2 courses from the list below]\n‘Advanced Machine\nwoaro1s | Tesmning 3 v\nwoaroi7 _| Seeunly Risk Analysis and A rT\nwoc7017 | Big Data Processing 3 V\nwoc7018 | Requirements Engineering 3 v\nwaernis | peri Pmerene evn 3 ]\nWoo hae Intemet of 3 r\n* Students are required to register for the Research Methodology course in their first semester\n“ Students are only allowed to register for a Dissertation after completing six (8) credits of\ncoursework and have taken or taking WOX7001 Research Methodology.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n- Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The course plan organises the programme across multiple semesters for each intake. The core set includes Research Methodology, Architecting Software Systems, Framework-Based Software Design and Development, Software Verification and Validation, Software Project Management, and Dissertation. Students then select two electives such as Big Data Processing, Requirements Engineering, User Experience Design Studio, Advanced Internet of Things, Advanced Machine Learning, or Security Risk Analysis and Evaluation. The handbook notes that Research Methodology must be taken in the first semester, and dissertation registration requires at least 6 credits of passed coursework together with having taken or being enrolled in Research Methodology.\n- The course plan shows the major taught components through a semester-by-semester arrangement of core courses, electives, and any required research methodology or dissertation-related components.\n\nSource chunk text:\ncae\nCOURSE PLAN\nINTAKE SEMESTER | 2025/2026\nMASTER OF SOFTWARE ENGINEERING ‘Sem Semit ‘SemI\n(SOFTWARE TECHNOLOGY) Credits | 2025/2026 | 2025/2026 | 2026/2027\nCore Courses\nwox7001* | Research Methodology 3 v\n‘Architecting Software\nwocroo | Srchtect 3 v\nFramework Based\nwoc7014 | Software Design and 3 v\nDevelopment\nSoftware Verification and 3 qi\nWoC7015 _| Validation =\nSoftware Project 3 j\nwoor0t | Nanagement V\na Dissertation (P1) 9 vn\nWOC7024 v=\neH Dissertation (P2) 2\nElective Courses [Students are required to choose any 2 courses from the list below]\n‘Advanced Machine\nwoaro1s | Tesmning 3 v\nwoaroi7 _| Seeunly Risk Analysis and A rT\nwoc7017 | Big Data Processing 3 V\nwoc7018 | Requirements Engineering 3 v\nwaernis | peri Pmerene evn 3 ]\nWoo hae Intemet of 3 r\n* Students are required to register for the Research Methodology course in their first semester\n“ Students are only allowed to register for a Dissertation after completing six (8) credits of\ncoursework and have taken or taking WOX7001 Research Methodology.\n\nKeywords: Master of Software Engineering (Software Technology), core courses, course, course plan, courses, credits, dissertation, engineering, methodology, register, required, research, semester, semesters, software, wox7001"}
+{"kb_id": "RAGKB-0403", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00403", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 2", "pages": [59], "chunk_index": 2, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["availability", "change", "courses", "depending", "every", "note", "number", "offered", "registering", "semester", "staff", "subject"], "retrieval_tags": [], "source_text": "Note: The courses that will be offered every semester are subject to change, depending on the\navailability of staff and the number of students registering.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nNote: The courses that will be offered every semester are subject to change, depending on the\navailability of staff and the number of students registering.\n\nKeywords: availability, change, courses, depending, every, note, number, offered, registering, semester, staff, subject"}
+{"kb_id": "RAGKB-0404", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00404", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 3", "pages": [59, 60], "chunk_index": 3, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["Could you explain the course plan for Master of Software Engineering (Software Technology)?", "Quick check: what's the course plan for Master of Software Engineering (Software Technology)?", "Could you explain how is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Hey, how is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?"], "matched_qa_ids": ["qa_000450", "qa_000451", "qa_000753", "qa_000754"], "grounded_answer_bank": ["The course plan organises the programme across multiple semesters for each intake. The core set includes Research Methodology, Architecting Software Systems, Framework-Based Software Design and Development, Software Verification and Validation, Software Project Management, and Dissertation. Students then select two electives such as Big Data Processing, Requirements Engineering, User Experience Design Studio, Advanced Internet of Things, Advanced Machine Learning, or Security Risk Analysis and Evaluation. The handbook notes that Research Methodology must be taken in the first semester, and dissertation registration requires at least 6 credits of passed coursework together with having taken or being enrolled in Research Methodology."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "advanced", "course plan", "courses", "credits", "design", "dissertation", "engineering", "methodology", "register", "required", "research", "semester", "semesters", "software"], "retrieval_tags": ["course_plan", "master_of_software_engineering_software_technology", "postgraduate"], "source_text": "INTAKE SEMESTER Il 2025/2026\nkK\nThings.\nMASTER OF SOFTWARE ENGINEERING Semil Semi Sem tt\n(SOFTWARE TECHNOLOGY) Credits | 2025/2026 | 2026/2027 | 2026/2027\nCore Courses\nWox7001* | Research Methodology 3 v\nArchitecting Software\nwoo7004_| Systems 3 v\nFramework Based\n‘woc7014 Software Design and 3 ci\nDevelopment\nSoftware Verification and 3\nWOC7015_| Validation ¥\n‘Software Project 3\nwoc7016 | ianagement v\nen Dissertation (P1) 9 ve\nbaa Dissertation (P2) 12 ve\nElective Courses [Students are required to choose any 2 courses from the list below]\n‘Advanced Machine\nwoar018 | (esming 3 v\n‘Security Risk Analysis and\nWOATO17 _| Evaluation i i\nwoc7017 _| Big Data Processing 3 v\nWOC7018 | Requirements Engineering 3 qv\nUser Experience Design 7\nWoC7019 | Studio 3 V\nwoo7o20 | Advanced Intemet of 3 7\n* Students are required to register for the Research Methodology course in their first semester\n* Students are only allowed to register for a Dissertation after completing six (6) credits of\ncoursework and have taken or taking WOX7001 Research Methodology.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- Could you explain the course plan for Master of Software Engineering (Software Technology)?\n- Quick check: what's the course plan for Master of Software Engineering (Software Technology)?\n- Could you explain how is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Hey, how is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n\nGrounded answer bank:\n- The course plan organises the programme across multiple semesters for each intake. The core set includes Research Methodology, Architecting Software Systems, Framework-Based Software Design and Development, Software Verification and Validation, Software Project Management, and Dissertation. Students then select two electives such as Big Data Processing, Requirements Engineering, User Experience Design Studio, Advanced Internet of Things, Advanced Machine Learning, or Security Risk Analysis and Evaluation. The handbook notes that Research Methodology must be taken in the first semester, and dissertation registration requires at least 6 credits of passed coursework together with having taken or being enrolled in Research Methodology.\n\nSource chunk text:\nINTAKE SEMESTER Il 2025/2026\nkK\nThings.\nMASTER OF SOFTWARE ENGINEERING Semil Semi Sem tt\n(SOFTWARE TECHNOLOGY) Credits | 2025/2026 | 2026/2027 | 2026/2027\nCore Courses\nWox7001* | Research Methodology 3 v\nArchitecting Software\nwoo7004_| Systems 3 v\nFramework Based\n‘woc7014 Software Design and 3 ci\nDevelopment\nSoftware Verification and 3\nWOC7015_| Validation ¥\n‘Software Project 3\nwoc7016 | ianagement v\nen Dissertation (P1) 9 ve\nbaa Dissertation (P2) 12 ve\nElective Courses [Students are required to choose any 2 courses from the list below]\n‘Advanced Machine\nwoar018 | (esming 3 v\n‘Security Risk Analysis and\nWOATO17 _| Evaluation i i\nwoc7017 _| Big Data Processing 3 v\nWOC7018 | Requirements Engineering 3 qv\nUser Experience Design 7\nWoC7019 | Studio 3 V\nwoo7o20 | Advanced Intemet of 3 7\n* Students are required to register for the Research Methodology course in their first semester\n* Students are only allowed to register for a Dissertation after completing six (6) credits of\ncoursework and have taken or taking WOX7001 Research Methodology.\n\nKeywords: Master of Software Engineering (Software Technology), advanced, course plan, courses, credits, design, dissertation, engineering, methodology, register, required, research, semester, semesters, software"}
+{"kb_id": "RAGKB-0405", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00405", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 4", "pages": [60], "chunk_index": 4, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["availability", "change", "courses", "depending", "every", "note", "number", "offered", "registering", "semester", "staff", "subject"], "retrieval_tags": [], "source_text": "Note: The courses that will be offered every semester are subject to change, depending on the\navailability of staff and the number of students registering.\nOm", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nNote: The courses that will be offered every semester are subject to change, depending on the\navailability of staff and the number of students registering.\nOm\n\nKeywords: availability, change, courses, depending, every, note, number, offered, registering, semester, staff, subject"}
+{"kb_id": "RAGKB-0406", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00406", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 5", "pages": [61], "chunk_index": 5, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approval", "course", "courses", "dissertation", "first", "has", "have", "intake", "methodology", "register", "research", "semester"], "retrieval_tags": [], "source_text": "yy\nIMPORTANT NOTES ON MASTER OF SOFTWARE ENGINEERING (SOFTWARE\nTECHNOLOGY) RESEARCH METHODOLOGY COURSE AND DISSERTATION COURSE .\n* Research Methodology course (WOX7001):\n* Students are required to register for the Research Methodology course in their first semester.\n** Dissertation course (WOC7024 for intake Sem 1 2023/2024 onwards; WOC7021 for intake\n2021/2022 and 2022/2023):\n© Registration of Dissertation course\n© Students can only start to register to take the Dissertation course if they have fulfilled the\nfollowing pre-requisite of the Dissertation course:\n+ Have passed any two courses (6 credits) (excluding language courses)\n+ Have taken or taking WOX7001 Research Methodology.\n© After registering to take the Dissertation course for the first time, a student has to register\nfor the Dissertation course in every subsequent semester as long as he/she has not\nsubmitted the final dissertation for Senate approval, or he has not obtained approval from\nthe faculty for withdrawing from the programme for that semester.\n© Appointment of Dissertation Supervisor", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nyy\nIMPORTANT NOTES ON MASTER OF SOFTWARE ENGINEERING (SOFTWARE\nTECHNOLOGY) RESEARCH METHODOLOGY COURSE AND DISSERTATION COURSE .\n* Research Methodology course (WOX7001):\n* Students are required to register for the Research Methodology course in their first semester.\n** Dissertation course (WOC7024 for intake Sem 1 2023/2024 onwards; WOC7021 for intake\n2021/2022 and 2022/2023):\n© Registration of Dissertation course\n© Students can only start to register to take the Dissertation course if they have fulfilled the\nfollowing pre-requisite of the Dissertation course:\n+ Have passed any two courses (6 credits) (excluding language courses)\n+ Have taken or taking WOX7001 Research Methodology.\n© After registering to take the Dissertation course for the first time, a student has to register\nfor the Dissertation course in every subsequent semester as long as he/she has not\nsubmitted the final dissertation for Senate approval, or he has not obtained approval from\nthe faculty for withdrawing from the programme for that semester.\n© Appointment of Dissertation Supervisor\n\nKeywords: approval, course, courses, dissertation, first, has, have, intake, methodology, register, research, semester"}
+{"kb_id": "RAGKB-0407", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00407", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 6", "pages": [61], "chunk_index": 6, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["appointment", "course", "deadline", "dissertation", "faculty's", "form", "has", "progress", "report", "semester", "submit", "supervisor"], "retrieval_tags": [], "source_text": "© Students must appoint supervisor for their dissertations in the first semester they register\nfor the Dissertation course.\n© The Appointment of Supervisor form (which includes a tentative dissertation topicititle\nagreed by the supervisor) should be submitted to the faculty's Postgraduate Office by the\nstipulated deadline (which is usually no later than the 7th week of a semester)\n© Asstudent must get the respective supervisor's approval and signature before submitting\nthe Appointment of Supervisor form to the faculty's Postgraduate Office.\n© Ifa student has registered for the Dissertation course but has not appointed a\nsupervisor for his/her dissertation, the student will not be able to submit his/her\nProgress Report for Dissertation. See next paragraph.\n© Submission of Progress Report for Dissertation\n© Ifa student has registered to take the Dissertation course in a particular semester, he/she\nhas to submit the Progress Report for Dissertation for that semester via the Maya system.\n© The deadline to submit the Progress Report is different in each semester and will be", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\n© Students must appoint supervisor for their dissertations in the first semester they register\nfor the Dissertation course.\n© The Appointment of Supervisor form (which includes a tentative dissertation topicititle\nagreed by the supervisor) should be submitted to the faculty's Postgraduate Office by the\nstipulated deadline (which is usually no later than the 7th week of a semester)\n© Asstudent must get the respective supervisor's approval and signature before submitting\nthe Appointment of Supervisor form to the faculty's Postgraduate Office.\n© Ifa student has registered for the Dissertation course but has not appointed a\nsupervisor for his/her dissertation, the student will not be able to submit his/her\nProgress Report for Dissertation. See next paragraph.\n© Submission of Progress Report for Dissertation\n© Ifa student has registered to take the Dissertation course in a particular semester, he/she\nhas to submit the Progress Report for Dissertation for that semester via the Maya system.\n© The deadline to submit the Progress Report is different in each semester and will be\n\nKeywords: appointment, course, deadline, dissertation, faculty's, form, has, progress, report, semester, submit, supervisor"}
+{"kb_id": "RAGKB-0408", "knowledge_group_id": "KG-0048", "source_chunk_id": "SC-00408", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "Course Plan", "title": "Master of Software Engineering (Software Technology) - Course Plan - chunk 7", "pages": [61], "chunk_index": 7, "group_size_chunks": 7, "group_size_qas": 8, "linked_index_ids": ["UMI-0028", "UMI-0222", "UMI-0223"], "group_canonical_questions": ["What is the course plan for Master of Software Engineering (Software Technology)?", "How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accounts", "affect", "announced", "deadline", "dissertation", "email", "have", "not", "progress", "report", "submit", "will"], "retrieval_tags": [], "source_text": "announced by the university/faculty. The students are responsible for monitoring their\nemail accounts to check the email regarding the deadline and have to submit their\nProgress Report before the deadline.\n© Students who did not submit the Progress Report by the deadline will obtain\n“Unsatisfactory” for their Dissertation for that semester. This will affect renewal of\nviva for international students.\n© Submission of Dissertation for Examination\n© Students cannot submit their dissertations for examinations if their CGPA is below 3.0 or if\nthey have not completed Part 1 (Coursework).", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - Course Plan - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Software Engineering (Software Technology)?\n- How is the course plan for Master of Software Engineering (Software Technology) distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nannounced by the university/faculty. The students are responsible for monitoring their\nemail accounts to check the email regarding the deadline and have to submit their\nProgress Report before the deadline.\n© Students who did not submit the Progress Report by the deadline will obtain\n“Unsatisfactory” for their Dissertation for that semester. This will affect renewal of\nviva for international students.\n© Submission of Dissertation for Examination\n© Students cannot submit their dissertations for examinations if their CGPA is below 3.0 or if\nthey have not completed Part 1 (Coursework).\n\nKeywords: accounts, affect, announced, deadline, dissertation, email, have, not, progress, report, submit, will"}
+{"kb_id": "RAGKB-0409", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00409", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 1", "pages": [62], "chunk_index": 1, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?", "Could you tell me what courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Real quick, what courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Could you tell me which course titles are listed for Master of Software Engineering (Software Technology)?", "Low-key, which course titles are listed for Master of Software Engineering (Software Technology)?", "Could you tell me what subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "matched_qa_ids": ["qa_000029", "qa_000224", "qa_000225", "qa_000452", "qa_000453", "qa_000756", "qa_000757", "qa_000758"], "grounded_answer_bank": ["The listed core courses are WOX7001 Research Methodology, WOC7004 Architecting Software Systems, WOC7014 Framework Based Software Design and Development, WOC7015 Software Verification and Validation, WOC7016 Software Project Management, and dissertation components. The elective list includes WOC7017 Big Data Processing, WOC7018 Requirements Engineering, WOC7019 User Experience Design Studio, WOC7020 Advanced Internet of Things, WOA7015 Advanced Machine Learning, and WOA7017 Security Risk Analysis and Evaluation. The handbook also includes important dissertation rules on eligibility, repeat registration until completion, and supervisor appointment.", "The listed course titles are WOX7001 Research Methodology, WST7001 Architecting Software Systems, WST7002 Framework-Based Software Design and Development, WST7003 Software Verification and Validation, WST7004 Software Project Management, WST7023 Dissertation, and electives such as WQD7007 Big Data Processing, WST7005 Requirements Engineering, WST7006 User Experience Design Studio, WOC7020 Advanced Internet of Things, WQD7012 Advanced Machine Learning, and WST7010 Security Risk Analysis and Evaluation.", "The courses cover research methodology, software architecture, framework-based design and development, software verification and validation, software project management, dissertation research, and elective themes such as big data processing, requirements engineering, user experience design, Internet of Things, advanced machine learning, and security risk analysis and evaluation."], "retrieval_keywords": ["Master of Software Engineering (Software Technology)", "advanced", "code", "course", "course contents", "course themes", "course titles", "courses", "credits", "design", "dissertation", "engineering", "list", "methodology", "research", "software"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_software_engineering_software_technology", "postgraduate"], "source_text": "iy\nLIST OF COURSES &\nCONTENTS\nCORECOURSES\nCode Course Credits\nwox7001_| Research Methodology 3\nW007004_| Architecting Software Systems 3\nW0C7074_| Framework Based Software Design and Development 3\nW0O7015_| Software Verification and Validation 3\nW0O7016_| Software Project Management 3\nar aa Dissertation (P1) 9\ni Dissertation (P2) 12\nELECTIVE COURSES\n(Note: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nW0G7017 _| Big Data Processing 3\nW0C7018_| Requirements Engineering 3\nWOC7019_| User Experience Design Studio 3\nW007020_| Advanced Internet of Things 3\nWOAT015_| Advanced Machine Learning 3\nWOA7017 _| Seourty Risk Analysis and Evaluation 3\nThe courses that will be offered every semester are subject to change, depending on the availabilty of\nstaff and the number of students registering.\nPlease read the “Important Notes on Master of Software Engineering (Software Technology)\nResearch Methodology course and Dissertation course”.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nQuestion variants:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n- Could you tell me what courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Real quick, what courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Could you tell me which course titles are listed for Master of Software Engineering (Software Technology)?\n- Low-key, which course titles are listed for Master of Software Engineering (Software Technology)?\n- Could you tell me what subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nGrounded answer bank:\n- The listed core courses are WOX7001 Research Methodology, WOC7004 Architecting Software Systems, WOC7014 Framework Based Software Design and Development, WOC7015 Software Verification and Validation, WOC7016 Software Project Management, and dissertation components. The elective list includes WOC7017 Big Data Processing, WOC7018 Requirements Engineering, WOC7019 User Experience Design Studio, WOC7020 Advanced Internet of Things, WOA7015 Advanced Machine Learning, and WOA7017 Security Risk Analysis and Evaluation. The handbook also includes important dissertation rules on eligibility, repeat registration until completion, and supervisor appointment.\n- The listed course titles are WOX7001 Research Methodology, WST7001 Architecting Software Systems, WST7002 Framework-Based Software Design and Development, WST7003 Software Verification and Validation, WST7004 Software Project Management, WST7023 Dissertation, and electives such as WQD7007 Big Data Processing, WST7005 Requirements Engineering, WST7006 User Experience Design Studio, WOC7020 Advanced Internet of Things, WQD7012 Advanced Machine Learning, and WST7010 Security Risk Analysis and Evaluation.\n- The courses cover research methodology, software architecture, framework-based design and development, software verification and validation, software project management, dissertation research, and elective themes such as big data processing, requirements engineering, user experience design, Internet of Things, advanced machine learning, and security risk analysis and evaluation.\n\nSource chunk text:\niy\nLIST OF COURSES &\nCONTENTS\nCORECOURSES\nCode Course Credits\nwox7001_| Research Methodology 3\nW007004_| Architecting Software Systems 3\nW0C7074_| Framework Based Software Design and Development 3\nW0O7015_| Software Verification and Validation 3\nW0O7016_| Software Project Management 3\nar aa Dissertation (P1) 9\ni Dissertation (P2) 12\nELECTIVE COURSES\n(Note: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nW0G7017 _| Big Data Processing 3\nW0C7018_| Requirements Engineering 3\nWOC7019_| User Experience Design Studio 3\nW007020_| Advanced Internet of Things 3\nWOAT015_| Advanced Machine Learning 3\nWOA7017 _| Seourty Risk Analysis and Evaluation 3\nThe courses that will be offered every semester are subject to change, depending on the availabilty of\nstaff and the number of students registering.\nPlease read the “Important Notes on Master of Software Engineering (Software Technology)\nResearch Methodology course and Dissertation course”.\n\nKeywords: Master of Software Engineering (Software Technology), advanced, code, course, course contents, course themes, course titles, courses, credits, design, dissertation, engineering, list, methodology, research, software"}
+{"kb_id": "RAGKB-0410", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00410", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 2", "pages": [63], "chunk_index": 2, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "analysis", "answering", "approach", "appropriate", "architecting", "course", "learning", "outcomes", "plan", "questions", "research"], "retrieval_tags": [], "source_text": "cae\nWOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives on overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nWOC7004 = Architecting Software Systems\nCourse Learning Outcomes", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\ncae\nWOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives on overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nWOC7004 = Architecting Software Systems\nCourse Learning Outcomes\n\nKeywords: able, analysis, answering, approach, appropriate, architecting, course, learning, outcomes, plan, questions, research"}
+{"kb_id": "RAGKB-0411", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00411", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 3", "pages": [63], "chunk_index": 3, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "architecting", "architectural", "architecture", "attributes", "course", "covers", "design", "different", "evaluate", "method", "software"], "retrieval_tags": [], "source_text": "At the end of the course, students are able to:\n1. Apply different types of architectural styles/patterns in developing software systems.\n2. Design software architecture,\n3. Evaluate software architecture in a team\nSynopsis of Course Content\nThis course covers advanced architecture design of software systems. It reviews the different\narchitectural structures and views, quality attributes, tactics to achieve quality attributes and common\narchitectural styles/patterns (such as layered, broker, client-server, peer-to-peer, service-oriented\narchitecture, and so on). It covers documenting software architecture.\nThis course also covers methods to design software architecture (e.g. Attribute-Driven Design\nmethod) and evaluate software architecture (e.g. ATAM analysis method). It also covers architecting\nsoftware product lines, architecting in the Cloud, and supporting tool.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination + 40%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nAt the end of the course, students are able to:\n1. Apply different types of architectural styles/patterns in developing software systems.\n2. Design software architecture,\n3. Evaluate software architecture in a team\nSynopsis of Course Content\nThis course covers advanced architecture design of software systems. It reviews the different\narchitectural structures and views, quality attributes, tactics to achieve quality attributes and common\narchitectural styles/patterns (such as layered, broker, client-server, peer-to-peer, service-oriented\narchitecture, and so on). It covers documenting software architecture.\nThis course also covers methods to design software architecture (e.g. Attribute-Driven Design\nmethod) and evaluate software architecture (e.g. ATAM analysis method). It also covers architecting\nsoftware product lines, architecting in the Cloud, and supporting tool.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination + 40%\n\nKeywords: also, architecting, architectural, architecture, attributes, course, covers, design, different, evaluate, method, software"}
+{"kb_id": "RAGKB-0412", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00412", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 4", "pages": [64], "chunk_index": 4, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "course", "design", "development", "end", "evaluation", "framework", "framework-based", "innovative", "language", "learning", "software"], "retrieval_tags": [], "source_text": "iy\nWOC7014_ _— Framework-Based Software Design and Development\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Identify the basic principles of framework-based software design and development.\n2. Design a framework-based software system.\n3. Construct a framework-based innovative software project using associated programming\nlanguage.\nSynopsis of Course Content\nThis course introduces the design and development of software using framework. It includes\nspecification, implementation and configuration of an innovative software according to a specific\nframework. Students will learn the framework's programming language as well as the facilities\nprovided by the framework.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination 40%\n'WOC7015 __ Software Verification and Validation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Discuss the concepts, principles, and techniques of software verification and validation.\n2. Design test through appropriate evaluation of chosen techniques from requirements and", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\niy\nWOC7014_ _— Framework-Based Software Design and Development\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Identify the basic principles of framework-based software design and development.\n2. Design a framework-based software system.\n3. Construct a framework-based innovative software project using associated programming\nlanguage.\nSynopsis of Course Content\nThis course introduces the design and development of software using framework. It includes\nspecification, implementation and configuration of an innovative software according to a specific\nframework. Students will learn the framework's programming language as well as the facilities\nprovided by the framework.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination 40%\n'WOC7015 __ Software Verification and Validation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Discuss the concepts, principles, and techniques of software verification and validation.\n2. Design test through appropriate evaluation of chosen techniques from requirements and\n\nKeywords: able, course, design, development, end, evaluation, framework, framework-based, innovative, language, learning, software"}
+{"kb_id": "RAGKB-0413", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00413", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 5", "pages": [64], "chunk_index": 5, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["behaviours", "checking", "code", "course", "design", "development", "formal", "model", "software", "techniques", "test", "tools"], "retrieval_tags": [], "source_text": "specifications, design artefacts, or the source code.\nCalculate small program code behaviours for checking valid path\nAnalyse software system behaviours statically through model checking and probabilistic\nproperties of program codes\nae\nSynopsis of Course Content\nThis course introduces the students the concepts, principles, techniques, and tools of software\nverification and validation within modem software development together with its formal techniques.\nThe course covers from test design and test plan in test driven development of agile to conduct tests\nusing tools. The course also exposes the students the formal approach of static analysis and model\nchecking in verifying uncertainty in software design models and requirements.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination 1 50%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nspecifications, design artefacts, or the source code.\nCalculate small program code behaviours for checking valid path\nAnalyse software system behaviours statically through model checking and probabilistic\nproperties of program codes\nae\nSynopsis of Course Content\nThis course introduces the students the concepts, principles, techniques, and tools of software\nverification and validation within modem software development together with its formal techniques.\nThe course covers from test design and test plan in test driven development of agile to conduct tests\nusing tools. The course also exposes the students the formal approach of static analysis and model\nchecking in verifying uncertainty in software design models and requirements.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination 1 50%\n\nKeywords: behaviours, checking, code, course, design, development, formal, model, software, techniques, test, tools"}
+{"kb_id": "RAGKB-0414", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00414", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 6", "pages": [65], "chunk_index": 6, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["cost", "course", "knowledge", "manage", "management", "project", "projects", "quality", "resource", "scope", "skills", "software"], "retrieval_tags": [], "source_text": "cae\nWOC7016 —_Software Project Management\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Write a software project management plan by addressing the issues of scope, time, cost,\nresource and quality.\n2. Manage a software project by demonstrating knowledge of project management techniques and\nskills.\n3. Demonstrate attitude and character in line with professional ethics by working on a team project\nas a project manager or active team member.\nSynopsis of Course Content\nThis course provides an overview of project management principles, techniques and skills. This\ncourse covers topics to understand the genesis of project, program, and portfolio management and\ntheir importance to software projects. In particular, the main tasks involved in initiating, planning,\nexecuting, monitoring and controlling, and closing software projects. The topics also include the\nknowledge areas that can be applied to manage project integration, scope, time, cost, quality, human\nresource, communications, risk and procurement.\nEvaluation and Weightage\nContinuous Assessment : 60%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\ncae\nWOC7016 —_Software Project Management\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Write a software project management plan by addressing the issues of scope, time, cost,\nresource and quality.\n2. Manage a software project by demonstrating knowledge of project management techniques and\nskills.\n3. Demonstrate attitude and character in line with professional ethics by working on a team project\nas a project manager or active team member.\nSynopsis of Course Content\nThis course provides an overview of project management principles, techniques and skills. This\ncourse covers topics to understand the genesis of project, program, and portfolio management and\ntheir importance to software projects. In particular, the main tasks involved in initiating, planning,\nexecuting, monitoring and controlling, and closing software projects. The topics also include the\nknowledge areas that can be applied to manage project integration, scope, time, cost, quality, human\nresource, communications, risk and procurement.\nEvaluation and Weightage\nContinuous Assessment : 60%\n\nKeywords: cost, course, knowledge, manage, management, project, projects, quality, resource, scope, skills, software"}
+{"kb_id": "RAGKB-0415", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00415", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 7", "pages": [65], "chunk_index": 7, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "also", "any", "course", "dissertation", "examination", "final", "have", "methodology", "project", "proposed", "research"], "retrieval_tags": [], "source_text": "Final Examination : 40%\n'WOC7024 __ Dissertation\nCourse Pre-requisite(s)/Minimum Requirement(s)\nHave passed any two courses\n* Have taken or taking WOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Report the literature review related to the proposed research project in the approved area.\n2. Implement a detailed research project based on the proposed research.\n3. Produce a dissertation of the research project.\n‘Synopsis of Course Content\nThe dissertation is concerned with the guidance rendered by the supervisor to the student on the\nproper way of conducting a software engineering, computer science or information technology\nresearch project, which could be in the form of face-to-face discussion, presentation, demonstration\nand communication. The dissertation also covers the identification of problem statements,\nunderstanding and formulation of the research objectives and research methodology to perform the\nresearch project.\nEvaluation and Weightage\nContinuous Assessment 100%\nFinal Examination 1 0%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nFinal Examination : 40%\n'WOC7024 __ Dissertation\nCourse Pre-requisite(s)/Minimum Requirement(s)\nHave passed any two courses\n* Have taken or taking WOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Report the literature review related to the proposed research project in the approved area.\n2. Implement a detailed research project based on the proposed research.\n3. Produce a dissertation of the research project.\n‘Synopsis of Course Content\nThe dissertation is concerned with the guidance rendered by the supervisor to the student on the\nproper way of conducting a software engineering, computer science or information technology\nresearch project, which could be in the form of face-to-face discussion, presentation, demonstration\nand communication. The dissertation also covers the identification of problem statements,\nunderstanding and formulation of the research objectives and research methodology to perform the\nresearch project.\nEvaluation and Weightage\nContinuous Assessment 100%\nFinal Examination 1 0%\n\nKeywords: able, also, any, course, dissertation, examination, final, have, methodology, project, proposed, research"}
+{"kb_id": "RAGKB-0416", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00416", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 8", "pages": [65], "chunk_index": 8, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["before", "candidature", "committee", "decided", "defence", "dissertation", "emailed", "examination", "examiners", "results", "seminars", "will"], "retrieval_tags": [], "source_text": "“Students have to pass candidature seminars (proposal defence and candidature defence) before submitting\ndissertation for examination. Results of candidature seminars will be emailed to the students by the faculty.\n“Dissertation will be examined by examiners. Final results will be decided by the committee of examiners,", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\n“Students have to pass candidature seminars (proposal defence and candidature defence) before submitting\ndissertation for examination. Results of candidature seminars will be emailed to the students by the faculty.\n“Dissertation will be examined by examiners. Final results will be decided by the committee of examiners,\n\nKeywords: before, candidature, committee, decided, defence, dissertation, emailed, examination, examiners, results, seminars, will"}
+{"kb_id": "RAGKB-0417", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00417", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 9", "pages": [66], "chunk_index": 9, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["big", "course", "data", "different", "frameworks", "handle", "many", "more", "parallel", "processing", "programming", "systems"], "retrieval_tags": [], "source_text": "iy\nWOC7017 _Big Data Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of big data technologies\n2. Apply parallel processing techniques for processing big data.\n3. Evaluate the suitability of different processing techniques for big data processing\nSynopsis of Course Content\nIt becomes more and more difficult to handle the growing amount of data with traditional data\nprocessing methods. There are many parallel processing frameworks and systems have been\nintroduced such as MapReduce, Hadoop, Pig, Hive, Spark and Twister. Many of these frameworks\nand systems can handle different kinds of big data problems. This course will review and analyse\nvarious processing systems, architectures, frameworks, programming languages and programming\nmodels and their capabilities for large-scale data. This course will also analyze the advantages and\ndisadvantages of these processing paradigms within the scope of the big data.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\nWOC7018 —_ Requirements Engineering", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\niy\nWOC7017 _Big Data Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of big data technologies\n2. Apply parallel processing techniques for processing big data.\n3. Evaluate the suitability of different processing techniques for big data processing\nSynopsis of Course Content\nIt becomes more and more difficult to handle the growing amount of data with traditional data\nprocessing methods. There are many parallel processing frameworks and systems have been\nintroduced such as MapReduce, Hadoop, Pig, Hive, Spark and Twister. Many of these frameworks\nand systems can handle different kinds of big data problems. This course will review and analyse\nvarious processing systems, architectures, frameworks, programming languages and programming\nmodels and their capabilities for large-scale data. This course will also analyze the advantages and\ndisadvantages of these processing paradigms within the scope of the big data.\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\nWOC7018 —_ Requirements Engineering\n\nKeywords: big, course, data, different, frameworks, handle, many, more, parallel, processing, programming, systems"}
+{"kb_id": "RAGKB-0418", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00418", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 10", "pages": [66], "chunk_index": 10, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["activities", "core", "course", "engineering", "issues", "management", "process", "relevant", "requirements", "research", "software", "techniques"], "retrieval_tags": [], "source_text": "Course Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe current techniques used in core activities in software requirements engineering.\n2. Use suitable techniques and tools to develop software requirements specification to fulfill user\nrequirements.\n3. Evaluate relevant research issues in improving requirements engineering process.\nSynopsis of Course Content\nThis course covers core activities in requirements engineering process such as requirements\nelicitation, validation, management and negotiation and techniques, tools and methods for supporting\nthose activities. It also discusses and explores relevant research issues in areas such as\nrequirements prioritization, impact analysis, process change management and requirements\ntraceability\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe current techniques used in core activities in software requirements engineering.\n2. Use suitable techniques and tools to develop software requirements specification to fulfill user\nrequirements.\n3. Evaluate relevant research issues in improving requirements engineering process.\nSynopsis of Course Content\nThis course covers core activities in requirements engineering process such as requirements\nelicitation, validation, management and negotiation and techniques, tools and methods for supporting\nthose activities. It also discusses and explores relevant research issues in areas such as\nrequirements prioritization, impact analysis, process change management and requirements\ntraceability\nEvaluation and Weightage\nContinuous Assessment : 60%\nFinal Examination : 40%\n\nKeywords: activities, core, course, engineering, issues, management, process, relevant, requirements, research, software, techniques"}
+{"kb_id": "RAGKB-0419", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00419", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 11", "pages": [67], "chunk_index": 11, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accessibility", "agile", "consideration", "course", "design", "experience", "human", "interactive", "leanux", "models", "principles", "user"], "retrieval_tags": [], "source_text": "WOC7019 _—User Experience Design Studio\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the principles, models and techniques emphasizing the design of user experience (UX) in\nHuman Computer Interactive systems.\n2. Develop an Interactive Human Computer system that takes into consideration universal\naccessibility through Agile and LeanUX.\n3. Evaluate the usability of the interactive Human Computer system which includes ethical, societal\nand cultural factors.\n‘Synopsis of Course Content\nThis course covers advanced topics related to the human cognition, psychology, software engineering\nformal methods principles, models and techniques to represent user and interactive environment.\nDevelopment projects uses Agile and LeanUX methodology taking into consideration universal\naccessibility for different range of users such as novice to experts, children to elderly, normal to\npeople with disabilities.\nDesign and implementation of projects include web UX, mobile UX and other intelligent systems.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nWOC7019 _—User Experience Design Studio\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the principles, models and techniques emphasizing the design of user experience (UX) in\nHuman Computer Interactive systems.\n2. Develop an Interactive Human Computer system that takes into consideration universal\naccessibility through Agile and LeanUX.\n3. Evaluate the usability of the interactive Human Computer system which includes ethical, societal\nand cultural factors.\n‘Synopsis of Course Content\nThis course covers advanced topics related to the human cognition, psychology, software engineering\nformal methods principles, models and techniques to represent user and interactive environment.\nDevelopment projects uses Agile and LeanUX methodology taking into consideration universal\naccessibility for different range of users such as novice to experts, children to elderly, normal to\npeople with disabilities.\nDesign and implementation of projects include web UX, mobile UX and other intelligent systems.\n\nKeywords: accessibility, agile, consideration, course, design, experience, human, interactive, leanux, models, principles, user"}
+{"kb_id": "RAGKB-0420", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00420", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 12", "pages": [67], "chunk_index": 12, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "acceptance", "active", "advanced", "course", "evaluation", "implementation", "interactive", "internet", "related", "things", "usability"], "retrieval_tags": [], "source_text": "Design and implementation concepts go beyond user interfaces to include sensors, controls,\nautonomous vehicles, ubiquitous computing in the context of Internet of Things (loT), social data\nanalytics and visualization. Interactive input may involve gestures, voice, eye movement and facial\nexpression.\nEvaluation of the implemented Human interactive system uses techniques such as expert review,\nheuristics, usability testing, acceptance test, survey, active observation or control environment.\nFactors that influence UX evaluation are related to ethical, societal and cultural as well as usability\ngoals.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nWOC7020_ = Advanced Internet of Things\nLearning Outcomes\nAt the end of this course, the students are able to\n1. Explain the architecture and key technologies of internet of things.\n2. Identify the challenges in the implementation of internet of things.\n3. Solve problems related to internet of things in wireless communications.\n‘Synopsis of Course Content", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nDesign and implementation concepts go beyond user interfaces to include sensors, controls,\nautonomous vehicles, ubiquitous computing in the context of Internet of Things (loT), social data\nanalytics and visualization. Interactive input may involve gestures, voice, eye movement and facial\nexpression.\nEvaluation of the implemented Human interactive system uses techniques such as expert review,\nheuristics, usability testing, acceptance test, survey, active observation or control environment.\nFactors that influence UX evaluation are related to ethical, societal and cultural as well as usability\ngoals.\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nWOC7020_ = Advanced Internet of Things\nLearning Outcomes\nAt the end of this course, the students are able to\n1. Explain the architecture and key technologies of internet of things.\n2. Identify the challenges in the implementation of internet of things.\n3. Solve problems related to internet of things in wireless communications.\n‘Synopsis of Course Content\n\nKeywords: able, acceptance, active, advanced, course, evaluation, implementation, interactive, internet, related, things, usability"}
+{"kb_id": "RAGKB-0421", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00421", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 13", "pages": [67], "chunk_index": 13, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "application", "application-level", "areas", "aspects", "assessment", "communications", "components", "course", "internet", "related", "things"], "retrieval_tags": [], "source_text": "This course is designed to introduce to students the emerging issues related to internet of things, This\ncourse will examine several aspects of internet of things such as application areas related to internet\nof things technologies, real-time models, local sensors, network components and application-level\ncomponents. This course also emphasises on solving problems related to wireless communications in\ndeveloping and deploying internet of things.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nThis course is designed to introduce to students the emerging issues related to internet of things, This\ncourse will examine several aspects of internet of things such as application areas related to internet\nof things technologies, real-time models, local sensors, network components and application-level\ncomponents. This course also emphasises on solving problems related to wireless communications in\ndeveloping and deploying internet of things.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\n\nKeywords: also, application, application-level, areas, aspects, assessment, communications, components, course, internet, related, things"}
+{"kb_id": "RAGKB-0422", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00422", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 14", "pages": [68], "chunk_index": 14, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "assessment", "concepts", "course", "end", "evaluation", "learning", "machine", "methods", "risk", "security"], "retrieval_tags": [], "source_text": "iy\n'WOA7015_ — Advanced Machine Learning\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\n2. Report the solution to machine learning problems by devising and listing the steps in machine\nlearning applied to solve different types of problems\n3. Demonstrate skills and knowledge on machine learning by managing a machine learning project\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision tree, neural network, and support vector machines as well\nas reinforcement learning.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nWOA7017 __ Security Risk Analysis and Evaluation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of security risk assessment.\n2. Apply suitable security risk assessment methods.\n3. Evaluate a particular security risk assessment method.", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\niy\n'WOA7015_ — Advanced Machine Learning\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\n2. Report the solution to machine learning problems by devising and listing the steps in machine\nlearning applied to solve different types of problems\n3. Demonstrate skills and knowledge on machine learning by managing a machine learning project\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision tree, neural network, and support vector machines as well\nas reinforcement learning.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\nWOA7017 __ Security Risk Analysis and Evaluation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the concepts of security risk assessment.\n2. Apply suitable security risk assessment methods.\n3. Evaluate a particular security risk assessment method.\n\nKeywords: able, advanced, assessment, concepts, course, end, evaluation, learning, machine, methods, risk, security"}
+{"kb_id": "RAGKB-0423", "knowledge_group_id": "KG-0050", "source_chunk_id": "SC-00423", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Software Engineering (Software Technology)", "subsection": "List of Courses and Contents", "title": "Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 15", "pages": [68], "chunk_index": 15, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0029", "UMI-0224", "UMI-0225"], "group_canonical_questions": ["What courses and course contents are listed for Master of Software Engineering (Software Technology)?", "Which course titles are listed for Master of Software Engineering (Software Technology)?", "What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "analysis", "assessment", "basic", "comprehensive", "concepts", "course", "evaluation", "project", "risk", "security", "techniques"], "retrieval_tags": [], "source_text": "Synopsis of Course Content\nThis course introduces the concepts and techniques used in security risk analysis and evaluation. It\nincludes a comprehensive explanation of the six basic phases of security risk assessment, i.e. project\ndefinition, project preparation, data gathering, risk analysis, risk mitigation, and risk reporting and\nresolution. The course also explains several risk assessment methods and describes techniques to\nmeasure the effectiveness of a particular method.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%", "retrieval_text": "Title: Master of Software Engineering (Software Technology) - List of Courses and Contents - chunk 15\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Software Engineering (Software Technology)\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Software Engineering (Software Technology)?\n- Which course titles are listed for Master of Software Engineering (Software Technology)?\n- What subject areas or themes are covered by the listed courses in Master of Software Engineering (Software Technology)?\n\nSource chunk text:\nSynopsis of Course Content\nThis course introduces the concepts and techniques used in security risk analysis and evaluation. It\nincludes a comprehensive explanation of the six basic phases of security risk assessment, i.e. project\ndefinition, project preparation, data gathering, risk analysis, risk mitigation, and risk reporting and\nresolution. The course also explains several risk assessment methods and describes techniques to\nmeasure the effectiveness of a particular method.\nEvaluation and Weightage\nContinuous Assessment : 50%\nFinal Examination : 50%\n\nKeywords: also, analysis, assessment, basic, comprehensive, concepts, course, evaluation, project, risk, security, techniques"}
+{"kb_id": "RAGKB-0424", "knowledge_group_id": "KG-0026", "source_chunk_id": "SC-00424", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Requirements", "title": "Master in Data Science - Programme Requirements - chunk 1", "pages": [70], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0030", "UMI-0226", "UMI-0227"], "group_canonical_questions": ["What are the programme requirements for Master in Data Science?", "What admission background or entry qualifications are described for Master in Data Science?", "What study mode, credit structure, or programme format is indicated for Master in Data Science?"], "chunk_question_variants": ["What are the programme requirements for Master in Data Science?", "What admission background or entry qualifications are described for Master in Data Science?", "Could you list the programme requirements for Master in Data Science?", "Hey, what are the programme requirements for Master in Data Science?", "Could you tell me what admission background or entry qualifications are described for Master in Data Science?", "BTW, what admission background or entry qualifications are described for Master in Data Science?"], "matched_qa_ids": ["qa_000030", "qa_000226", "qa_000454", "qa_000455", "qa_000759", "qa_000760"], "grounded_answer_bank": ["The Master in Data Science is a 42-credit coursework programme designed to prepare students for a final capstone project that applies taught knowledge to real-world problems. The handbook states that applicants may enter with a science-stream bachelor's degree with honours and a minimum CGPA of 3.30, or a non-science honours degree with a minimum CGPA of 3.50 plus at least three years of related experience in areas such as business and economics, statistics and mathematics, or accounting and finance, together with one additional supporting criterion such as UM graduation, relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International students must meet the stated English requirements. The study period is two semesters plus one special semester, up to eight semesters.", "The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria."], "retrieval_keywords": ["Master in Data Science", "admission", "bachelor's", "cgpa", "degree", "entry qualifications", "equivalent", "experience", "field", "has", "honours", "least", "minimum", "programme requirements", "related"], "retrieval_tags": ["master_in_data_science", "postgraduate", "programme_requirements"], "source_text": "PROGRAMME REQUIREMENTS\nSS\n4. Programme Type\nThe type of programme offered for the Master in Data Science is a programme consisting of 10\ncoursework which prepares students for the final capstone project which allows students to\napply the knowledge they learned in the taught courses into real world applications.\n2. Admission\n(a) Qualifications for Admission\n() A Bachelor's degree with Honours in Science stream with a minimum CGPA of\n3.30 or equivalent;\nOR\n(i) A Bachelor's degree with Honours or equivalent in non-Science stream with a\nminimum CGPA of 3.50 with work experience in related fields for at least three\n(3) years in:\n4. Business and Economics\n2. Statistics & Mathematics\n3. Accounting & Finance\nand meet at least one (1) of the following criteria:\nsa graduate of Universiti Malaya\nHas at least one (1) year of work experience in a related field\nHas produced publications in a related field\nScholarship recipient\nis an employee of a goverment agency\nPasses the Faculty interview; or\nPasses the special assessment by the Faculty\ne@-paecm\nOR", "retrieval_text": "Title: Master in Data Science - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master in Data Science?\n- What admission background or entry qualifications are described for Master in Data Science?\n- What study mode, credit structure, or programme format is indicated for Master in Data Science?\n\nQuestion variants:\n- What are the programme requirements for Master in Data Science?\n- What admission background or entry qualifications are described for Master in Data Science?\n- Could you list the programme requirements for Master in Data Science?\n- Hey, what are the programme requirements for Master in Data Science?\n- Could you tell me what admission background or entry qualifications are described for Master in Data Science?\n- BTW, what admission background or entry qualifications are described for Master in Data Science?\n\nGrounded answer bank:\n- The Master in Data Science is a 42-credit coursework programme designed to prepare students for a final capstone project that applies taught knowledge to real-world problems. The handbook states that applicants may enter with a science-stream bachelor's degree with honours and a minimum CGPA of 3.30, or a non-science honours degree with a minimum CGPA of 3.50 plus at least three years of related experience in areas such as business and economics, statistics and mathematics, or accounting and finance, together with one additional supporting criterion such as UM graduation, relevant work experience, publications, scholarship status, government employment, interview, or faculty special assessment. International students must meet the stated English requirements. The study period is two semesters plus one special semester, up to eight semesters.\n- The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.\n\nSource chunk text:\nPROGRAMME REQUIREMENTS\nSS\n4. Programme Type\nThe type of programme offered for the Master in Data Science is a programme consisting of 10\ncoursework which prepares students for the final capstone project which allows students to\napply the knowledge they learned in the taught courses into real world applications.\n2. Admission\n(a) Qualifications for Admission\n() A Bachelor's degree with Honours in Science stream with a minimum CGPA of\n3.30 or equivalent;\nOR\n(i) A Bachelor's degree with Honours or equivalent in non-Science stream with a\nminimum CGPA of 3.50 with work experience in related fields for at least three\n(3) years in:\n4. Business and Economics\n2. Statistics & Mathematics\n3. Accounting & Finance\nand meet at least one (1) of the following criteria:\nsa graduate of Universiti Malaya\nHas at least one (1) year of work experience in a related field\nHas produced publications in a related field\nScholarship recipient\nis an employee of a goverment agency\nPasses the Faculty interview; or\nPasses the special assessment by the Faculty\ne@-paecm\nOR\n\nKeywords: Master in Data Science, admission, bachelor's, cgpa, degree, entry qualifications, equivalent, experience, field, has, honours, least, minimum, programme requirements, related"}
+{"kb_id": "RAGKB-0425", "knowledge_group_id": "KG-0026", "source_chunk_id": "SC-00425", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Requirements", "title": "Master in Data Science - Programme Requirements - chunk 2", "pages": [70], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0030", "UMI-0226", "UMI-0227"], "group_canonical_questions": ["What are the programme requirements for Master in Data Science?", "What admission background or entry qualifications are described for Master in Data Science?", "What study mode, credit structure, or programme format is indicated for Master in Data Science?"], "chunk_question_variants": ["What study mode, credit structure, or programme format is indicated for Master in Data Science?", "Could you tell me what study mode, credit structure, or programme format is indicated for Master in Data Science?"], "matched_qa_ids": ["qa_000227", "qa_000761"], "grounded_answer_bank": ["Master in Data Science as a coursework-mode programme following the listed course plan and course-content structure."], "retrieval_keywords": ["Master in Data Science", "academic", "based", "cambridge", "credit structure", "english", "first", "format", "minimum", "proficiency", "score", "semesters", "study", "study mode", "two", "university"], "retrieval_tags": ["master_in_data_science", "postgraduate", "programme_requirements"], "source_text": "(ii) Other qualifications approved by the University Senate.\n(b) English Language Proficiency\nInternational candidates are required to.\n() Atleast IELTS Band 6 (Academic) or TOEFL score of 550 (paper based) / 213\n(computer based) / 80 (Internet based) / PTE Academic with minimum score\n57 / minimum a grade of C for the English subject in the General Certificate of\nEducation (A-level) or Cambridge English: First (FCE) or Cambridge English\nAdvance (ACE) or Cambridge English: Proficiency (CPE), if their first degree\nis from a university where English is not the medium of instruction\n3. Duration of Study\nThe programme of study : two (2) semesters + one (1) special semester, to eight (8) semesters,\n4. Programme Structure\n‘The Master in Data Science Programme through coursework shall have a total of forty-\ntwo (42) credits.\n(a)", "retrieval_text": "Title: Master in Data Science - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master in Data Science?\n- What admission background or entry qualifications are described for Master in Data Science?\n- What study mode, credit structure, or programme format is indicated for Master in Data Science?\n\nQuestion variants:\n- What study mode, credit structure, or programme format is indicated for Master in Data Science?\n- Could you tell me what study mode, credit structure, or programme format is indicated for Master in Data Science?\n\nGrounded answer bank:\n- Master in Data Science as a coursework-mode programme following the listed course plan and course-content structure.\n\nSource chunk text:\n(ii) Other qualifications approved by the University Senate.\n(b) English Language Proficiency\nInternational candidates are required to.\n() Atleast IELTS Band 6 (Academic) or TOEFL score of 550 (paper based) / 213\n(computer based) / 80 (Internet based) / PTE Academic with minimum score\n57 / minimum a grade of C for the English subject in the General Certificate of\nEducation (A-level) or Cambridge English: First (FCE) or Cambridge English\nAdvance (ACE) or Cambridge English: Proficiency (CPE), if their first degree\nis from a university where English is not the medium of instruction\n3. Duration of Study\nThe programme of study : two (2) semesters + one (1) special semester, to eight (8) semesters,\n4. Programme Structure\n‘The Master in Data Science Programme through coursework shall have a total of forty-\ntwo (42) credits.\n(a)\n\nKeywords: Master in Data Science, academic, based, cambridge, credit structure, english, first, format, minimum, proficiency, score, semesters, study, study mode, two, university"}
+{"kb_id": "RAGKB-0426", "knowledge_group_id": "KG-0026", "source_chunk_id": "SC-00426", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Requirements", "title": "Master in Data Science - Programme Requirements - chunk 3", "pages": [71], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0030", "UMI-0226", "UMI-0227"], "group_canonical_questions": ["What are the programme requirements for Master in Data Science?", "What admission background or entry qualifications are described for Master in Data Science?", "What study mode, credit structure, or programme format is indicated for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approved", "consists", "courses", "credits", "each", "four", "list", "part", "senate", "shall", "three", "time"], "retrieval_tags": [], "source_text": "()\n()\n(d)\nThe programme shall consist of two parts\n() Part consists of.\n= six (6) core discipline courses, comprise of three or four credits\ncourses; and\n= three (3) elective courses, each four credits\n(i) Part Il consists of a ten (10) credits project and shall involve investigation and\nanalysis of a real world case study, leading to the submission of a report.\nDetails of courses offered shall be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session,\nThe list of Senate approved courses for the Master in Data Science Programme shall\nbe as indicated in List 1.", "retrieval_text": "Title: Master in Data Science - Programme Requirements - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master in Data Science?\n- What admission background or entry qualifications are described for Master in Data Science?\n- What study mode, credit structure, or programme format is indicated for Master in Data Science?\n\nSource chunk text:\n()\n()\n(d)\nThe programme shall consist of two parts\n() Part consists of.\n= six (6) core discipline courses, comprise of three or four credits\ncourses; and\n= three (3) elective courses, each four credits\n(i) Part Il consists of a ten (10) credits project and shall involve investigation and\nanalysis of a real world case study, leading to the submission of a report.\nDetails of courses offered shall be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session,\nThe list of Senate approved courses for the Master in Data Science Programme shall\nbe as indicated in List 1.\n\nKeywords: approved, consists, courses, credits, each, four, list, part, senate, shall, three, time"}
+{"kb_id": "RAGKB-0427", "knowledge_group_id": "KG-0025", "source_chunk_id": "SC-00427", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Objectives and Outcomes", "title": "Master in Data Science - Programme Objectives and Outcomes - chunk 1", "pages": [72], "chunk_index": 1, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0031", "UMI-0228", "UMI-0229"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master in Data Science?", "What graduate capabilities or professional strengths does Master in Data Science aim to develop?", "What learning or programme outcome themes are emphasized for Master in Data Science?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master in Data Science?", "What learning or programme outcome themes are emphasized for Master in Data Science?", "Could you list the programme goals, objectives, or learning outcomes for Master in Data Science?", "Just asking, what are the programme goals, objectives, or learning outcomes for Master in Data Science?", "Could you tell me what graduate capabilities or professional strengths does Master in Data Science aim to develop?", "So basically, what graduate capabilities or professional strengths does Master in Data Science aim to develop?", "Could you tell me what learning or programme outcome themes are emphasized for Master in Data Science?"], "matched_qa_ids": ["qa_000031", "qa_000229", "qa_000456", "qa_000457", "qa_000762", "qa_000763", "qa_000764"], "grounded_answer_bank": ["The programme objectives describe data scientists who can extract meaningful insights, deliver effective data science solutions, sustain lifelong learning with an entrepreneurial mindset, and lead or contribute responsibly in public or private organisations. The learning outcomes highlight mastery of important data science concepts, recommending innovative data science and scientific computing solutions, constructing efficient data science tools, communicating with stakeholders, publishing and presenting solutions, using digital and analytic skills to acquire and interpret knowledge, leadership, lifelong learning, entrepreneurship, and professional ethics.", "The learning outcomes emphasise mastery of core data science concepts, recommending innovative data science and scientific computing solutions, building efficient data science tools, communicating results to stakeholders, publishing and presenting findings, exercising leadership and teamwork, sustaining lifelong learning with an entrepreneurial mindset, and practising professional ethics.", "The programme aims to develop data scientists who can extract meaningful insights from data, deliver effective data science solutions, continue learning throughout their careers, and contribute responsibly and ethically in public or private organisations."], "retrieval_keywords": ["Master in Data Science", "able", "activities", "advocates", "can", "data", "graduate capabilities", "learning", "learning outcomes", "objectives", "organizations", "outcomes", "scientist", "solutions", "stakeholders", "themes"], "retrieval_tags": ["master_in_data_science", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "PROGRAMME OBJECTIVES &\nOUTCOMES\nee\nPROGRAMME EDUCATIONAL OBJECTIVES (PEO)\n1. Data Scientists who are knowledgeable and able to extract meaningful insights to help\norganizations cope with challenges and arising issues.\n2. Data Scientist who possesses interpersonal skills in delivering effective data science solutions\nfor industry or other stakeholders.\n3. Data Scientist who engages and advocates lifelong learning activities with an entrepreneurial\nmindset for a suocessful career\n4, Data Scientist who can lead and contribute to data science teams in public or private\norganizations with a full sense of responsibilty and good ethics\nPROGRAMME LEARNING OUTCOMES (PLO)\nNo. Programme Learning Outcomes PLOs Taxonomic\nCategory\n. | Master the important concepts and theories in the field oF | pig \"\ndata science that can be utilized in relevant domains.\n2 [Recommend innovative solutions for problems in data\nscience and scientific computing\n3 | Construct data science solutions and tools in terms of\nefficiency and effectiveness\n@_ | interact with various stakeholders clearly and confidently, to", "retrieval_text": "Title: Master in Data Science - Programme Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- What graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- What learning or programme outcome themes are emphasized for Master in Data Science?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- What learning or programme outcome themes are emphasized for Master in Data Science?\n- Could you list the programme goals, objectives, or learning outcomes for Master in Data Science?\n- Just asking, what are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- Could you tell me what graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- So basically, what graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- Could you tell me what learning or programme outcome themes are emphasized for Master in Data Science?\n\nGrounded answer bank:\n- The programme objectives describe data scientists who can extract meaningful insights, deliver effective data science solutions, sustain lifelong learning with an entrepreneurial mindset, and lead or contribute responsibly in public or private organisations. The learning outcomes highlight mastery of important data science concepts, recommending innovative data science and scientific computing solutions, constructing efficient data science tools, communicating with stakeholders, publishing and presenting solutions, using digital and analytic skills to acquire and interpret knowledge, leadership, lifelong learning, entrepreneurship, and professional ethics.\n- The learning outcomes emphasise mastery of core data science concepts, recommending innovative data science and scientific computing solutions, building efficient data science tools, communicating results to stakeholders, publishing and presenting findings, exercising leadership and teamwork, sustaining lifelong learning with an entrepreneurial mindset, and practising professional ethics.\n- The programme aims to develop data scientists who can extract meaningful insights from data, deliver effective data science solutions, continue learning throughout their careers, and contribute responsibly and ethically in public or private organisations.\n\nSource chunk text:\nPROGRAMME OBJECTIVES &\nOUTCOMES\nee\nPROGRAMME EDUCATIONAL OBJECTIVES (PEO)\n1. Data Scientists who are knowledgeable and able to extract meaningful insights to help\norganizations cope with challenges and arising issues.\n2. Data Scientist who possesses interpersonal skills in delivering effective data science solutions\nfor industry or other stakeholders.\n3. Data Scientist who engages and advocates lifelong learning activities with an entrepreneurial\nmindset for a suocessful career\n4, Data Scientist who can lead and contribute to data science teams in public or private\norganizations with a full sense of responsibilty and good ethics\nPROGRAMME LEARNING OUTCOMES (PLO)\nNo. Programme Learning Outcomes PLOs Taxonomic\nCategory\n. | Master the important concepts and theories in the field oF | pig \"\ndata science that can be utilized in relevant domains.\n2 [Recommend innovative solutions for problems in data\nscience and scientific computing\n3 | Construct data science solutions and tools in terms of\nefficiency and effectiveness\n@_ | interact with various stakeholders clearly and confidently, to\n\nKeywords: Master in Data Science, able, activities, advocates, can, data, graduate capabilities, learning, learning outcomes, objectives, organizations, outcomes, scientist, solutions, stakeholders, themes"}
+{"kb_id": "RAGKB-0428", "knowledge_group_id": "KG-0025", "source_chunk_id": "SC-00428", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Objectives and Outcomes", "title": "Master in Data Science - Programme Objectives and Outcomes - chunk 2", "pages": [72], "chunk_index": 2, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0031", "UMI-0228", "UMI-0229"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master in Data Science?", "What graduate capabilities or professional strengths does Master in Data Science aim to develop?", "What learning or programme outcome themes are emphasized for Master in Data Science?"], "chunk_question_variants": ["What graduate capabilities or professional strengths does Master in Data Science aim to develop?"], "matched_qa_ids": ["qa_000228"], "grounded_answer_bank": ["The programme aims to develop data scientists who can extract meaningful insights from data, deliver effective data science solutions, continue learning throughout their careers, and contribute responsibly and ethically in public or private organisations."], "retrieval_keywords": ["Master in Data Science", "abiity", "academic", "acquire", "data", "demonstrate", "effectively", "extend", "graduate capabilities", "interpret", "knowledge", "learning", "outcomes", "skills", "solutions"], "retrieval_tags": ["master_in_data_science", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "successfully implement group projects. or system | PLO4 Pp\ndevelopment efficiently and effectively\n© | Communicate effectively with diverse audiences by\npublishing and presenting data science solutions in the | PLOS P\nestablished academic or industrial platform\n6 | Utilise digital skills to acquire, interpret, and extend\nPLO2 K\nPLO3 Pp\nknowledge in data science. PLOG P\n7. | Apply data analytic skils to acquire, interpret, and extend\nknowledge in data science LO?! P\n[Demonstrate leadership, teamwork and responsibiiy im] 5 Og A\ndelivering data science solutions\n9. | Exhibit skills and capabilities to extend relevant knowledge in PLO m\ndata science through life-long learning\n70, | Demonstrate abiity to adopt an entrepreneurial mindset in\nthe data science discipline REDO A\n77_ | Practice the philosophy, principles, and high ethical valuesin | > 5 a\nprofessional practices related to data science\n(List of 11 domains of learning outcomes in accordance with the MQF program.)", "retrieval_text": "Title: Master in Data Science - Programme Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- What graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- What learning or programme outcome themes are emphasized for Master in Data Science?\n\nQuestion variants:\n- What graduate capabilities or professional strengths does Master in Data Science aim to develop?\n\nGrounded answer bank:\n- The programme aims to develop data scientists who can extract meaningful insights from data, deliver effective data science solutions, continue learning throughout their careers, and contribute responsibly and ethically in public or private organisations.\n\nSource chunk text:\nsuccessfully implement group projects. or system | PLO4 Pp\ndevelopment efficiently and effectively\n© | Communicate effectively with diverse audiences by\npublishing and presenting data science solutions in the | PLOS P\nestablished academic or industrial platform\n6 | Utilise digital skills to acquire, interpret, and extend\nPLO2 K\nPLO3 Pp\nknowledge in data science. PLOG P\n7. | Apply data analytic skils to acquire, interpret, and extend\nknowledge in data science LO?! P\n[Demonstrate leadership, teamwork and responsibiiy im] 5 Og A\ndelivering data science solutions\n9. | Exhibit skills and capabilities to extend relevant knowledge in PLO m\ndata science through life-long learning\n70, | Demonstrate abiity to adopt an entrepreneurial mindset in\nthe data science discipline REDO A\n77_ | Practice the philosophy, principles, and high ethical valuesin | > 5 a\nprofessional practices related to data science\n(List of 11 domains of learning outcomes in accordance with the MQF program.)\n\nKeywords: Master in Data Science, abiity, academic, acquire, data, demonstrate, effectively, extend, graduate capabilities, interpret, knowledge, learning, outcomes, skills, solutions"}
+{"kb_id": "RAGKB-0429", "knowledge_group_id": "KG-0025", "source_chunk_id": "SC-00429", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Objectives and Outcomes", "title": "Master in Data Science - Programme Objectives and Outcomes - chunk 3", "pages": [73], "chunk_index": 3, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0031", "UMI-0228", "UMI-0229"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master in Data Science?", "What graduate capabilities or professional strengths does Master in Data Science aim to develop?", "What learning or programme outcome themes are emphasized for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["mapping", "matrix", "peo", "peo1", "peo2", "peo3", "peo4", "plo", "plo1", "plo10", "plo11", "plos"], "retrieval_tags": [], "source_text": "MATRIX OF MAPPING PLO TO PEO\nPEO\nPLO PEO1 PEO2 PEO3 PEO4\nPLO1\nPLO2\nPLOS x\nPLO4\nPLOS\nPLO6 x\nPLOT\nPLOS\nPLOS\nPLO10\nPLO11", "retrieval_text": "Title: Master in Data Science - Programme Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- What graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- What learning or programme outcome themes are emphasized for Master in Data Science?\n\nSource chunk text:\nMATRIX OF MAPPING PLO TO PEO\nPEO\nPLO PEO1 PEO2 PEO3 PEO4\nPLO1\nPLO2\nPLOS x\nPLO4\nPLOS\nPLO6 x\nPLOT\nPLOS\nPLOS\nPLO10\nPLO11\n\nKeywords: mapping, matrix, peo, peo1, peo2, peo3, peo4, plo, plo1, plo10, plo11, plos"}
+{"kb_id": "RAGKB-0430", "knowledge_group_id": "KG-0025", "source_chunk_id": "SC-00430", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Programme Objectives and Outcomes", "title": "Master in Data Science - Programme Objectives and Outcomes - chunk 4", "pages": [74], "chunk_index": 4, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0031", "UMI-0228", "UMI-0229"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master in Data Science?", "What graduate capabilities or professional strengths does Master in Data Science aim to develop?", "What learning or programme outcome themes are emphasized for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affective", "category", "cognitive", "communication", "digital", "domain", "entrepreneurial", "ethics", "notes", "plos", "reference", "skills"], "retrieval_tags": [], "source_text": "Reference notes:\n‘The Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO | Domain\nPLO1 | Knowledge and Understanding\nPLO2 Cognitive Skills\nPLO3__| Practical Skills\nPLO4 | Interpersonal Skills\nPLOS: Communication Skills\nPLO6 | Digital Skills\nPLO7 Numeracy Skills\nPLO8 | Leadership\nPLOS Personal Skills\nPLO10 | Entrepreneurial Skills\nPLO11 | Ethics and Professionalism\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor", "retrieval_text": "Title: Master in Data Science - Programme Objectives and Outcomes - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master in Data Science?\n- What graduate capabilities or professional strengths does Master in Data Science aim to develop?\n- What learning or programme outcome themes are emphasized for Master in Data Science?\n\nSource chunk text:\nReference notes:\n‘The Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO | Domain\nPLO1 | Knowledge and Understanding\nPLO2 Cognitive Skills\nPLO3__| Practical Skills\nPLO4 | Interpersonal Skills\nPLOS: Communication Skills\nPLO6 | Digital Skills\nPLO7 Numeracy Skills\nPLO8 | Leadership\nPLOS Personal Skills\nPLO10 | Entrepreneurial Skills\nPLO11 | Ethics and Professionalism\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor\n\nKeywords: affective, category, cognitive, communication, digital, domain, entrepreneurial, ethics, notes, plos, reference, skills"}
+{"kb_id": "RAGKB-0431", "knowledge_group_id": "KG-0023", "source_chunk_id": "SC-00431", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Course Plan", "title": "Master in Data Science - Course Plan - chunk 1", "pages": [75], "chunk_index": 1, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0032", "UMI-0230", "UMI-0231"], "group_canonical_questions": ["What is the course plan for Master in Data Science?", "How is the course plan for Master in Data Science distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?"], "chunk_question_variants": ["What is the course plan for Master in Data Science?", "How is the course plan for Master in Data Science distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?", "Could you explain the course plan for Master in Data Science?", "Low-key, what's the course plan for Master in Data Science?", "Could you explain how is the course plan for Master in Data Science distributed across semesters or study periods?", "Real quick, how is the course plan for Master in Data Science distributed across semesters or study periods?", "Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?"], "matched_qa_ids": ["qa_000032", "qa_000230", "qa_000231", "qa_000458", "qa_000459", "qa_000765", "qa_000766", "qa_000767"], "grounded_answer_bank": ["The course plan presents a taught structure built around core data science courses, electives, and a final research project. Core taught components include Research Methodology, Principles of Data Science, Data Analytics, Programming for Data Science, Big Data Management, Applied Machine Learning, and the Data Science Research Project. Students choose three electives, and the project is positioned after the taught core foundation. The handbook notes that not all courses are offered every semester and offerings depend on staff availability and enrolment."], "retrieval_keywords": ["Master in Data Science", "after", "allowed", "analytics", "ant", "any", "big", "core", "core courses", "course plan", "courses", "data", "project", "research", "semester", "semesters"], "retrieval_tags": ["course_plan", "master_in_data_science", "postgraduate"], "source_text": "COURSE PLAN\nee $$$ ao >\nOS\nINTAKE SEMESTER | 2025/2026\nSemester! | Semesterll | Semester ll\nMASTER IN DATA SCIENCE cons | See! | eee |) ee\nCore Courses\nResearch\nwox7oo1 | feeeat 3 y\nPrinciples of Data\nwaoroor | Ernciple 3 v\nwan7003 | Data Analytics 3 y\nProgramming for\nWa07004 | Data Science 4 q\nBig Data\nwaoro07 | Foe ant 3 v\nApplied Machine\nwao7or2 | Peeing 4 v\nwap702s_ | *Data Science 10 y Y\nResearch Project\nElective Courses [Students are required to choose any 3 courses from the list below]\nWAQD7005 | Data Mining 4 Vv\nParallel and a v\nWan7008 | Distributed\n‘Computing\nBig Data 4 Tv\nWan7009 | Applications &\nAnalytics\nNetwork and 4 v\nwa07010 | Security\nStatistics for Data 4 Vv\nwan7013 | Scarce\nNatural Language a Tv\nWOF7007_| Processing\nNote:\n“Students are only allowed to register for WQD7025 Data Science Research Project after completing at\nleast three (3) core discipline courses (including WOX7001).\nFor Data Science Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample\n* P1 in Semester |I and P2 in Special Semester", "retrieval_text": "Title: Master in Data Science - Course Plan - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master in Data Science?\n- How is the course plan for Master in Data Science distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n\nQuestion variants:\n- What is the course plan for Master in Data Science?\n- How is the course plan for Master in Data Science distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n- Could you explain the course plan for Master in Data Science?\n- Low-key, what's the course plan for Master in Data Science?\n- Could you explain how is the course plan for Master in Data Science distributed across semesters or study periods?\n- Real quick, how is the course plan for Master in Data Science distributed across semesters or study periods?\n- Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n\nGrounded answer bank:\n- The course plan presents a taught structure built around core data science courses, electives, and a final research project. Core taught components include Research Methodology, Principles of Data Science, Data Analytics, Programming for Data Science, Big Data Management, Applied Machine Learning, and the Data Science Research Project. Students choose three electives, and the project is positioned after the taught core foundation. The handbook notes that not all courses are offered every semester and offerings depend on staff availability and enrolment.\n\nSource chunk text:\nCOURSE PLAN\nee $$$ ao >\nOS\nINTAKE SEMESTER | 2025/2026\nSemester! | Semesterll | Semester ll\nMASTER IN DATA SCIENCE cons | See! | eee |) ee\nCore Courses\nResearch\nwox7oo1 | feeeat 3 y\nPrinciples of Data\nwaoroor | Ernciple 3 v\nwan7003 | Data Analytics 3 y\nProgramming for\nWa07004 | Data Science 4 q\nBig Data\nwaoro07 | Foe ant 3 v\nApplied Machine\nwao7or2 | Peeing 4 v\nwap702s_ | *Data Science 10 y Y\nResearch Project\nElective Courses [Students are required to choose any 3 courses from the list below]\nWAQD7005 | Data Mining 4 Vv\nParallel and a v\nWan7008 | Distributed\n‘Computing\nBig Data 4 Tv\nWan7009 | Applications &\nAnalytics\nNetwork and 4 v\nwa07010 | Security\nStatistics for Data 4 Vv\nwan7013 | Scarce\nNatural Language a Tv\nWOF7007_| Processing\nNote:\n“Students are only allowed to register for WQD7025 Data Science Research Project after completing at\nleast three (3) core discipline courses (including WOX7001).\nFor Data Science Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample\n* P1 in Semester |I and P2 in Special Semester\n\nKeywords: Master in Data Science, after, allowed, analytics, ant, any, big, core, core courses, course plan, courses, data, project, research, semester, semesters"}
+{"kb_id": "RAGKB-0432", "knowledge_group_id": "KG-0023", "source_chunk_id": "SC-00432", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Course Plan", "title": "Master in Data Science - Course Plan - chunk 2", "pages": [75], "chunk_index": 2, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0032", "UMI-0230", "UMI-0231"], "group_canonical_questions": ["What is the course plan for Master in Data Science?", "How is the course plan for Master in Data Science distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["actual", "all", "availability", "courses", "depend", "every", "not", "number", "offered", "oma", "semester", "will"], "retrieval_tags": [], "source_text": "* P1 in Special Semester and P2 in Semester |\nPt in Semester | and P2 in Semester II\nNot all courses will be offered every semester; the actual courses offered will depend on the availability of\nstaff and the number of students registering.\nOma", "retrieval_text": "Title: Master in Data Science - Course Plan - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master in Data Science?\n- How is the course plan for Master in Data Science distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n\nSource chunk text:\n* P1 in Special Semester and P2 in Semester |\nPt in Semester | and P2 in Semester II\nNot all courses will be offered every semester; the actual courses offered will depend on the availability of\nstaff and the number of students registering.\nOma\n\nKeywords: actual, all, availability, courses, depend, every, not, number, offered, oma, semester, will"}
+{"kb_id": "RAGKB-0433", "knowledge_group_id": "KG-0023", "source_chunk_id": "SC-00433", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Course Plan", "title": "Master in Data Science - Course Plan - chunk 3", "pages": [76], "chunk_index": 3, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0032", "UMI-0230", "UMI-0231"], "group_canonical_questions": ["What is the course plan for Master in Data Science?", "How is the course plan for Master in Data Science distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["after", "allowed", "analytics", "core", "courses", "data", "eee", "project", "research", "semester", "special", "wox7001"], "retrieval_tags": [], "source_text": "INTAKE SEMESTER II 2025/2026\nSemester il | Semester ill | Semester |\nMASTER IN DATA SCIENCE Giese || eee | Seen | eee\nCore Courses\nwox7001 | Research Methodology ] 3 v\nPrinciples of Data\nwaproor | Enns 3 v\nWaD7003 | Data Analytics 3 v\nProgramming for Data\nwanroo4 | Progra 4 v\nwan7007 | BigData Management | 3 v\n‘Applied Machine\nwao7or2 | ApEn 4 v\nwap7025. | “Data Science 10 v v\nResearch Project\nElective Courses [Students are required to choose any 3 courses from the list below]\nwap7005. | Data Mining 4 v\nwanrcoe | Peete pa Destrbuted |g 7\nwanrooe | 89 Gata APpteatons& [ 7\nwa07010 | Network and Security 4 v\nweonns: | Exiwere Ose 4 v\nWarF7007 sa ee 4 ¥\nNote:\n“Students are only allowed to register for WQD7025 Data Science Research Project after completing at\nleast three (3) core discipline courses (including WOX7001).\nFor Data Science Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample:\n© P1 in Special Semester and P2 in Semester |\n* P1 in Semester il and P2 in Special Semester\n‘© P14 in Semester | and P2 in Semester II", "retrieval_text": "Title: Master in Data Science - Course Plan - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master in Data Science?\n- How is the course plan for Master in Data Science distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n\nSource chunk text:\nINTAKE SEMESTER II 2025/2026\nSemester il | Semester ill | Semester |\nMASTER IN DATA SCIENCE Giese || eee | Seen | eee\nCore Courses\nwox7001 | Research Methodology ] 3 v\nPrinciples of Data\nwaproor | Enns 3 v\nWaD7003 | Data Analytics 3 v\nProgramming for Data\nwanroo4 | Progra 4 v\nwan7007 | BigData Management | 3 v\n‘Applied Machine\nwao7or2 | ApEn 4 v\nwap7025. | “Data Science 10 v v\nResearch Project\nElective Courses [Students are required to choose any 3 courses from the list below]\nwap7005. | Data Mining 4 v\nwanrcoe | Peete pa Destrbuted |g 7\nwanrooe | 89 Gata APpteatons& [ 7\nwa07010 | Network and Security 4 v\nweonns: | Exiwere Ose 4 v\nWarF7007 sa ee 4 ¥\nNote:\n“Students are only allowed to register for WQD7025 Data Science Research Project after completing at\nleast three (3) core discipline courses (including WOX7001).\nFor Data Science Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample:\n© P1 in Special Semester and P2 in Semester |\n* P1 in Semester il and P2 in Special Semester\n‘© P14 in Semester | and P2 in Semester II\n\nKeywords: after, allowed, analytics, core, courses, data, eee, project, research, semester, special, wox7001"}
+{"kb_id": "RAGKB-0434", "knowledge_group_id": "KG-0023", "source_chunk_id": "SC-00434", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "Course Plan", "title": "Master in Data Science - Course Plan - chunk 4", "pages": [76], "chunk_index": 4, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0032", "UMI-0230", "UMI-0231"], "group_canonical_questions": ["What is the course plan for Master in Data Science?", "How is the course plan for Master in Data Science distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["actual", "all", "availabilty", "courses", "depend", "every", "not", "number", "offered", "registering", "semester", "will"], "retrieval_tags": [], "source_text": "Not all courses will be offered every semester; the actual courses offered will depend on the availabilty of\nstaff and the number of students registering", "retrieval_text": "Title: Master in Data Science - Course Plan - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master in Data Science?\n- How is the course plan for Master in Data Science distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master in Data Science?\n\nSource chunk text:\nNot all courses will be offered every semester; the actual courses offered will depend on the availabilty of\nstaff and the number of students registering\n\nKeywords: actual, all, availabilty, courses, depend, every, not, number, offered, registering, semester, will"}
+{"kb_id": "RAGKB-0435", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00435", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 1", "pages": [77, 78, 80], "chunk_index": 1, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": ["What courses and course contents are listed for Master in Data Science?", "Could you tell me what courses and course contents are listed for Master in Data Science?", "Quick one: what courses and course contents are listed for Master in Data Science?", "Could you tell me which course titles are listed for Master in Data Science?", "Just asking, which course titles are listed for Master in Data Science?", "Could you tell me what subject areas or themes are covered by the listed courses in Master in Data Science?"], "matched_qa_ids": ["qa_000033", "qa_000460", "qa_000461", "qa_000768", "qa_000769", "qa_000770"], "grounded_answer_bank": ["The listed core courses are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, and WQD7025 Data Science Research Project. Students choose any three electives from WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing. The handbook states that the Data Science Research Project may only be registered after completing at least three core discipline courses, including WOX7001.", "The listed course titles are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, WQD7025 Data Science Research Project, and electives such as WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing.", "The listed courses cover research methods, core data science principles, data analytics, programming for data science, big data management, applied machine learning, research-project work, data mining, parallel and distributed computing, big data applications, network and security topics, statistics for data science, and natural language processing."], "retrieval_keywords": ["Master in Data Science", "analytics", "big", "code", "core", "course", "course contents", "course themes", "course titles", "courses", "credits", "data", "list", "note", "offered", "research"], "retrieval_tags": ["list_of_courses_and_contents", "master_in_data_science", "postgraduate"], "source_text": "LIST OF COURSES &\nCONTENTS\nCORE COURSES\nCode Course Credits\nWox7001 | Research Methodology 3\nWap7001 | Principles of Data Science 3\nWap7003 | Data Analytics 3\nWap7004 | Programming for Data Science 4\nwan7007 | Big Data Management 3\nwap7012 | Applied Machine Learning 4\n*wap7025 | Data Science Research Project 40\nELECTIVE COURSES\n(NOTE: Students are required to choose any three (3) courses from the list below)\nCode Course Credits\nwan7005 | Data Mining 4\nwap7008 | Parallel and Distributed Computing\nwan7009 | Big Data Applications & Analytics\nwap7010 | Network and Security\nWaD7013 _| Statistics for Data Science\nWQF7007 _ | Natural Language Processing\npean\nNote :\n* Students are only allowed to register for WQD7025 Data Science Research Project after\ncompleting at least three (3) core discipline courses (including WOX7001).\nNot all courses will be offered every semester; the actual courses offered will depend on the\navailability of staff and the number of students registering.", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nQuestion variants:\n- What courses and course contents are listed for Master in Data Science?\n- Could you tell me what courses and course contents are listed for Master in Data Science?\n- Quick one: what courses and course contents are listed for Master in Data Science?\n- Could you tell me which course titles are listed for Master in Data Science?\n- Just asking, which course titles are listed for Master in Data Science?\n- Could you tell me what subject areas or themes are covered by the listed courses in Master in Data Science?\n\nGrounded answer bank:\n- The listed core courses are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, and WQD7025 Data Science Research Project. Students choose any three electives from WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing. The handbook states that the Data Science Research Project may only be registered after completing at least three core discipline courses, including WOX7001.\n- The listed course titles are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, WQD7025 Data Science Research Project, and electives such as WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing.\n- The listed courses cover research methods, core data science principles, data analytics, programming for data science, big data management, applied machine learning, research-project work, data mining, parallel and distributed computing, big data applications, network and security topics, statistics for data science, and natural language processing.\n\nSource chunk text:\nLIST OF COURSES &\nCONTENTS\nCORE COURSES\nCode Course Credits\nWox7001 | Research Methodology 3\nWap7001 | Principles of Data Science 3\nWap7003 | Data Analytics 3\nWap7004 | Programming for Data Science 4\nwan7007 | Big Data Management 3\nwap7012 | Applied Machine Learning 4\n*wap7025 | Data Science Research Project 40\nELECTIVE COURSES\n(NOTE: Students are required to choose any three (3) courses from the list below)\nCode Course Credits\nwan7005 | Data Mining 4\nwap7008 | Parallel and Distributed Computing\nwan7009 | Big Data Applications & Analytics\nwap7010 | Network and Security\nWaD7013 _| Statistics for Data Science\nWQF7007 _ | Natural Language Processing\npean\nNote :\n* Students are only allowed to register for WQD7025 Data Science Research Project after\ncompleting at least three (3) core discipline courses (including WOX7001).\nNot all courses will be offered every semester; the actual courses offered will depend on the\navailability of staff and the number of students registering.\n\nKeywords: Master in Data Science, analytics, big, code, core, course, course contents, course themes, course titles, courses, credits, data, list, note, offered, research"}
+{"kb_id": "RAGKB-0436", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00436", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 2", "pages": [78], "chunk_index": 2, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": ["Which course titles are listed for Master in Data Science?"], "matched_qa_ids": ["qa_000232"], "grounded_answer_bank": ["The listed course titles are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, WQD7025 Data Science Research Project, and electives such as WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing."], "retrieval_keywords": ["Master in Data Science", "able", "analysis", "analyze", "approach", "course", "course contents", "course titles", "data", "methodology", "plan", "problem", "research", "skills", "writing"], "retrieval_tags": ["list_of_courses_and_contents", "master_in_data_science", "postgraduate"], "source_text": "wox7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Analyze the problem solving skills and computer science knowledge to solve real-world problems\nusing the correct research methodology.\n2. Plan effective communication, verbally and in writing, and be able to work in a team and\ndemonstrate leadership skills in carrying out computer science related projects.\n3. Show an attitude and character in line with professional and ethical codes in computer science.\n‘Synopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statements, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment 5 100%\nWQD7001 _ Principles of Data Science", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nQuestion variants:\n- Which course titles are listed for Master in Data Science?\n\nGrounded answer bank:\n- The listed course titles are WOX7001 Research Methodology, WAP7001 Principles of Data Science, WQD7003 Data Analytics, WQD7004 Programming for Data Science, WQD7007 Big Data Management, WQD7012 Applied Machine Learning, WQD7025 Data Science Research Project, and electives such as WQD7005 Data Mining, WQD7008 Parallel and Distributed Computing, WQD7009 Big Data Applications and Analytics, WQD7010 Network and Security, WQD7013 Statistics for Data Science, and WQF7007 Natural Language Processing.\n\nSource chunk text:\nwox7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Analyze the problem solving skills and computer science knowledge to solve real-world problems\nusing the correct research methodology.\n2. Plan effective communication, verbally and in writing, and be able to work in a team and\ndemonstrate leadership skills in carrying out computer science related projects.\n3. Show an attitude and character in line with professional and ethical codes in computer science.\n‘Synopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statements, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment 5 100%\nWQD7001 _ Principles of Data Science\n\nKeywords: Master in Data Science, able, analysis, analyze, approach, course, course contents, course titles, data, methodology, plan, problem, research, skills, writing"}
+{"kb_id": "RAGKB-0437", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00437", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 3", "pages": [78], "chunk_index": 3, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "acquire", "algorithms", "also", "assessment", "breadth", "course", "data", "develop", "knowledge", "solutions", "tools"], "retrieval_tags": [], "source_text": "Course Learning Outcomes.\nAt the end of the course, students are able to:\n1. Use data-driven solutions for domain specific related issues.\n2. Organize the steps that data scientists follow chronologically in a typical data science project.\n3. Develop a data product using open source tools.\nSynopsis of Course Content\nThe course provides a breadth of knowledge, in terms of the what, when, who, where, why and how\n(8W 1H) in the field of data science. This foundation course is designed to help students discover\nuseful insights from data of various domains. It incorporates the fundamental principles that underlie\nthe algorithms, processes, methods, ethics, and data-analytic thinking in a data science life cycle. The\nrole of data scientist, the knowledge and skills required is also presented. Diverse technologies,\nprogramming languages as well as tools in data science are discussed. Students will acquire practical\nknowledge through hands-on projects to come up with data science solutions and develop data\nproducts.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\nCourse Learning Outcomes.\nAt the end of the course, students are able to:\n1. Use data-driven solutions for domain specific related issues.\n2. Organize the steps that data scientists follow chronologically in a typical data science project.\n3. Develop a data product using open source tools.\nSynopsis of Course Content\nThe course provides a breadth of knowledge, in terms of the what, when, who, where, why and how\n(8W 1H) in the field of data science. This foundation course is designed to help students discover\nuseful insights from data of various domains. It incorporates the fundamental principles that underlie\nthe algorithms, processes, methods, ethics, and data-analytic thinking in a data science life cycle. The\nrole of data scientist, the knowledge and skills required is also presented. Diverse technologies,\nprogramming languages as well as tools in data science are discussed. Students will acquire practical\nknowledge through hands-on projects to come up with data science solutions and develop data\nproducts.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%\n\nKeywords: able, acquire, algorithms, also, assessment, breadth, course, data, develop, knowledge, solutions, tools"}
+{"kb_id": "RAGKB-0438", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00438", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 4", "pages": [78], "chunk_index": 4, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["ability", "able", "aims", "analysis", "analytics", "analyze", "appropriate", "assessment", "basic", "course", "data", "techniques"], "retrieval_tags": [], "source_text": "WQD7003__— Data Analytics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the basic concepts for various data analysis techniques\n2. Determine appropriate data analysis techniques to effectively generate useful information from\ndata\n3. Design appropriate data analytics processes to solve real-world problems.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyze data using suitable data\nanalytics techniques.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\nWQD7003__— Data Analytics\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the basic concepts for various data analysis techniques\n2. Determine appropriate data analysis techniques to effectively generate useful information from\ndata\n3. Design appropriate data analytics processes to solve real-world problems.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyze data using suitable data\nanalytics techniques.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%\n\nKeywords: ability, able, aims, analysis, analytics, analyze, appropriate, assessment, basic, course, data, techniques"}
+{"kb_id": "RAGKB-0439", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00439", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 5", "pages": [79], "chunk_index": 5, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "algorithms", "course", "data", "end", "learning", "libraries", "models", "outcomes", "programming", "structures", "various"], "retrieval_tags": [], "source_text": "'WQD7004 Programming for Data Science\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Solve problems in data science using various data structures and programming concepts.\n2. Mastering the program libraries and algorithms related to data science.\n3. Relate studies in the field of data science with the construction of appropriate applications.\nSynopsis of Course Content\nThis course covers programming languages that are relevant to data science. The course provides\nstudents with the necessary programming skills for statistical analysis, exploration of datasets and\npredictions. These include understanding structures for data organization such as vector, list, matri\nand data frames; basic programming blocks such as operators, control structures, and subsettin\nusing various libraries for data visualization; run prediction models using various models; and other\nalgorithms.\nEvaluation and Weightage\nContinuous Assessment\nFinal Examination\n50%\n50%\n'WQD7007 _— Big Data Management\nCourse Learning Outcomes\nAt the end of this course, the students are able to:", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n'WQD7004 Programming for Data Science\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Solve problems in data science using various data structures and programming concepts.\n2. Mastering the program libraries and algorithms related to data science.\n3. Relate studies in the field of data science with the construction of appropriate applications.\nSynopsis of Course Content\nThis course covers programming languages that are relevant to data science. The course provides\nstudents with the necessary programming skills for statistical analysis, exploration of datasets and\npredictions. These include understanding structures for data organization such as vector, list, matri\nand data frames; basic programming blocks such as operators, control structures, and subsettin\nusing various libraries for data visualization; run prediction models using various models; and other\nalgorithms.\nEvaluation and Weightage\nContinuous Assessment\nFinal Examination\n50%\n50%\n'WQD7007 _— Big Data Management\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n\nKeywords: able, algorithms, course, data, end, learning, libraries, models, outcomes, programming, structures, various"}
+{"kb_id": "RAGKB-0440", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00440", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 6", "pages": [79], "chunk_index": 6, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["appropriate", "concepts", "course", "data", "explain", "large-scale", "learning", "machine", "retrieval", "storage", "systems", "technologies"], "retrieval_tags": [], "source_text": "1. Mastering the processes in the data pipeline.\n2. Explain database concepts and technologies for big data storage and retrieval\n3. Identify appropriate models, tools, and technologies to implement storage, search and retrieval\nsystems for large-scale structured and unstructured information systems.\nSynopsis of Course Content\nThis course prepares students to deal with large-scale collections of data as objects to be stored,\nsearched over, selected, and transformed for use and reuse. It examines the underlying principles and\ntechnologies used to capture data, clean it, contextualize it, store it, and access it for a repurposed\nuse. Data provenance is also examined to determine the trustworthiness of data.\nEvaluation and Weightage\nContinuous Assessment F 60%\nFinal Examination i 40%\nCourse Prerequisite: WQD7001\nWQD7012 Applied Machine Learning\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n1. Explain the concepts and techniques for machine learning.\n2. Fine tune appropriate machine learning techniques for various datasets.", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n1. Mastering the processes in the data pipeline.\n2. Explain database concepts and technologies for big data storage and retrieval\n3. Identify appropriate models, tools, and technologies to implement storage, search and retrieval\nsystems for large-scale structured and unstructured information systems.\nSynopsis of Course Content\nThis course prepares students to deal with large-scale collections of data as objects to be stored,\nsearched over, selected, and transformed for use and reuse. It examines the underlying principles and\ntechnologies used to capture data, clean it, contextualize it, store it, and access it for a repurposed\nuse. Data provenance is also examined to determine the trustworthiness of data.\nEvaluation and Weightage\nContinuous Assessment F 60%\nFinal Examination i 40%\nCourse Prerequisite: WQD7001\nWQD7012 Applied Machine Learning\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n1. Explain the concepts and techniques for machine learning.\n2. Fine tune appropriate machine learning techniques for various datasets.\n\nKeywords: appropriate, concepts, course, data, explain, large-scale, learning, machine, retrieval, storage, systems, technologies"}
+{"kb_id": "RAGKB-0441", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00441", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 7", "pages": [79], "chunk_index": 7, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["approaches", "assessment", "both", "clustering", "common", "concepts", "content", "continuous", "course", "covers", "learning", "machine"], "retrieval_tags": [], "source_text": "3. Suggest practical solutions to common problems in machine learning.\nSynopsis of Course Content\nThis course introduces fundamental concepts and techniques for machine leaming. It covers topics\nfor both supervised and unsupervised learning approaches such as linear and logistic regression,\nneural network, decision trees and clustering etc.\nEvaluation and Weightage\nContinuous Assessment i 50%\nFinal Examination s 50%\nCourse Prerequisite: WQD7003\no>", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n3. Suggest practical solutions to common problems in machine learning.\nSynopsis of Course Content\nThis course introduces fundamental concepts and techniques for machine leaming. It covers topics\nfor both supervised and unsupervised learning approaches such as linear and logistic regression,\nneural network, decision trees and clustering etc.\nEvaluation and Weightage\nContinuous Assessment i 50%\nFinal Examination s 50%\nCourse Prerequisite: WQD7003\no>\n\nKeywords: approaches, assessment, both, clustering, common, concepts, content, continuous, course, covers, learning, machine"}
+{"kb_id": "RAGKB-0442", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00442", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 8", "pages": [80], "chunk_index": 8, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": ["What subject areas or themes are covered by the listed courses in Master in Data Science?"], "matched_qa_ids": ["qa_000233"], "grounded_answer_bank": ["The listed courses cover research methods, core data science principles, data analytics, programming for data science, big data management, applied machine learning, research-project work, data mining, parallel and distributed computing, big data applications, network and security topics, statistics for data science, and natural language processing."], "retrieval_keywords": ["Master in Data Science", "able", "accumulated", "address", "allows", "applying", "course", "course contents", "course themes", "data", "methods", "problems", "project", "research", "solve"], "retrieval_tags": ["list_of_courses_and_contents", "master_in_data_science", "postgraduate"], "source_text": "WQD7025 __— Data Science Research Project\nCourse Learning Outcomes\nAt the end of the course, the student are able to:\n1. Develop the data science research project in a form of report and presentation\n2. Prepare the data science research project plan and its results in an organized manner.\n3. Fine tune data science techniques to solve data science problems in the real world environment.\nSynopsis of Course Content\nThe capstone project allows students to use public data or create data products by applying their\nknowledge in foundations, theory and methods of data science to address problems in industry and\ngovernment. During the project, students engage in the entire process of solving a real-world data\nscience project, from collecting and processing data ,to designing the best method to solve identified\nproblems, to applying suitable analytic methods, and finally, to implementing a solution.\nEvaluation and Weightage\nContinuous Assessment : 100%\nCourse prerequisite: At least passed 6 credits and accumulated from core courses, including\nwox7001\nWQD7005_— Data Mining", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nQuestion variants:\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nGrounded answer bank:\n- The listed courses cover research methods, core data science principles, data analytics, programming for data science, big data management, applied machine learning, research-project work, data mining, parallel and distributed computing, big data applications, network and security topics, statistics for data science, and natural language processing.\n\nSource chunk text:\nWQD7025 __— Data Science Research Project\nCourse Learning Outcomes\nAt the end of the course, the student are able to:\n1. Develop the data science research project in a form of report and presentation\n2. Prepare the data science research project plan and its results in an organized manner.\n3. Fine tune data science techniques to solve data science problems in the real world environment.\nSynopsis of Course Content\nThe capstone project allows students to use public data or create data products by applying their\nknowledge in foundations, theory and methods of data science to address problems in industry and\ngovernment. During the project, students engage in the entire process of solving a real-world data\nscience project, from collecting and processing data ,to designing the best method to solve identified\nproblems, to applying suitable analytic methods, and finally, to implementing a solution.\nEvaluation and Weightage\nContinuous Assessment : 100%\nCourse prerequisite: At least passed 6 credits and accumulated from core courses, including\nwox7001\nWQD7005_— Data Mining\n\nKeywords: Master in Data Science, able, accumulated, address, allows, applying, course, course contents, course themes, data, methods, problems, project, research, solve"}
+{"kb_id": "RAGKB-0443", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00443", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 9", "pages": [80], "chunk_index": 9, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "association", "classification", "clustering", "computing", "content", "course", "data", "design", "distributed", "end", "parallel"], "retrieval_tags": [], "source_text": "Course Learning Outcomes\nAt the end of this course, students are able to\n1. Mastering the concepts and techniques of data mining.\n2. Develop the appropriate solution for classification, association rules and clustering problems.\n3. Design practical solutions to streaming data.\nSynopsis of Course Content\nThis course covers topics such as Data Warehouse, Pre-mining, Classification, Association Rules and\nClustering Algorithms. It explains how to find pattems in a database and emphasises on hands-on\nexperience of data mining tools.\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination — : 50%\nWQD7008 __— Parallel and Distributed Computing\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Analyse and appraise the basic principles and paradigms of parallel and distributed computing\n2. Solve issues and problems in the implementation of parallel and distributed systems.\n3. Integrate parallel and distributed system.\nSynopsis of Course Content\nThis course focuses on the design and implementation of parallel and distributed processing systems.", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\nCourse Learning Outcomes\nAt the end of this course, students are able to\n1. Mastering the concepts and techniques of data mining.\n2. Develop the appropriate solution for classification, association rules and clustering problems.\n3. Design practical solutions to streaming data.\nSynopsis of Course Content\nThis course covers topics such as Data Warehouse, Pre-mining, Classification, Association Rules and\nClustering Algorithms. It explains how to find pattems in a database and emphasises on hands-on\nexperience of data mining tools.\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination — : 50%\nWQD7008 __— Parallel and Distributed Computing\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Analyse and appraise the basic principles and paradigms of parallel and distributed computing\n2. Solve issues and problems in the implementation of parallel and distributed systems.\n3. Integrate parallel and distributed system.\nSynopsis of Course Content\nThis course focuses on the design and implementation of parallel and distributed processing systems.\n\nKeywords: able, association, classification, clustering, computing, content, course, data, design, distributed, end, parallel"}
+{"kb_id": "RAGKB-0444", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00444", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 10", "pages": [80], "chunk_index": 10, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analytic", "assessment", "big-data", "both", "computing", "concepts", "contemporary", "continuous", "course", "covers", "data", "distributed"], "retrieval_tags": [], "source_text": "This course covers the fundamental concepts of distributed computing and introduces contemporary\nissues in big-data processing. This course emphasizes both the underlying principles and hands-on\nexperience of data analytic tools.\nEvaluation and Weightage\nContinuous Assessment F 50%\nFinal Examination i 50%", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\nThis course covers the fundamental concepts of distributed computing and introduces contemporary\nissues in big-data processing. This course emphasizes both the underlying principles and hands-on\nexperience of data analytic tools.\nEvaluation and Weightage\nContinuous Assessment F 50%\nFinal Examination i 50%\n\nKeywords: analytic, assessment, big-data, both, computing, concepts, contemporary, continuous, course, covers, data, distributed"}
+{"kb_id": "RAGKB-0445", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00445", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 11", "pages": [81], "chunk_index": 11, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "analysis", "analytics", "application", "applications", "big", "course", "data", "end", "its", "network", "security"], "retrieval_tags": [], "source_text": "'WQD7009 __—Big Data Applications and Analytics\nCourse Learning Outcomes\nAt the end of this course, students are able to.\n4. Mastering the conceptual frameworks to identify the potential applications of big data in real-world\nscenarios,\n2. Design and implement data pipelines to process and integrate data from various sources.\n3. Explain the significance of big data in contemporary industry and technology.\n‘Synopsis of Course Content\nThe course will cover Big data applications and analytics, Data Collection, Sampling and Pre-\nprocessing, Predictive Analysis, Descriptive analysis, Survival analysis, Social networks analysis, and\nCase study of Big data Applications.\nEvaluation and Weightage\nContinuous Assessment 70%\nFinal Examination 30%\n'WQD7010 Network and Security\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Interpret the basic principles of cryptography, its framework and its application in network security.\n2. Mastering the new trend in network security, its application, and techniques to solve the network\nsecurity problem", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n'WQD7009 __—Big Data Applications and Analytics\nCourse Learning Outcomes\nAt the end of this course, students are able to.\n4. Mastering the conceptual frameworks to identify the potential applications of big data in real-world\nscenarios,\n2. Design and implement data pipelines to process and integrate data from various sources.\n3. Explain the significance of big data in contemporary industry and technology.\n‘Synopsis of Course Content\nThe course will cover Big data applications and analytics, Data Collection, Sampling and Pre-\nprocessing, Predictive Analysis, Descriptive analysis, Survival analysis, Social networks analysis, and\nCase study of Big data Applications.\nEvaluation and Weightage\nContinuous Assessment 70%\nFinal Examination 30%\n'WQD7010 Network and Security\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Interpret the basic principles of cryptography, its framework and its application in network security.\n2. Mastering the new trend in network security, its application, and techniques to solve the network\nsecurity problem\n\nKeywords: able, analysis, analytics, application, applications, big, course, data, end, its, network, security"}
+{"kb_id": "RAGKB-0446", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00446", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 12", "pages": [81], "chunk_index": 12, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "concepts", "content", "course", "data", "explain", "field", "internet", "network", "problems", "standards", "statistics"], "retrieval_tags": [], "source_text": "3. Identify the problems in cryptography and explain the network security protocol.\nSynopsis of Course Content\nThis course is designed to provide a practical survey of network security applications and standards.\n‘The emphasis on applications that are widely used on the internet and for corporate networks, and on\nstandards, especially internet standards that have been widely deployed,\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination 50%\nWQD7013 __ Statistics for Data Science\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Explain statistical concepts in solving problems in the field of data science\n2. Mastering descriptive statistics and inferential statistics in the field of data science\n3. Solving data science problems by applying statistical concepts learned using statistics-based\nsoftware or programming\nSynopsis of Course Content\nThe course will provide an opportunity for in-depth study of statistics techniques that are useful in data", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n3. Identify the problems in cryptography and explain the network security protocol.\nSynopsis of Course Content\nThis course is designed to provide a practical survey of network security applications and standards.\n‘The emphasis on applications that are widely used on the internet and for corporate networks, and on\nstandards, especially internet standards that have been widely deployed,\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination 50%\nWQD7013 __ Statistics for Data Science\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n4. Explain statistical concepts in solving problems in the field of data science\n2. Mastering descriptive statistics and inferential statistics in the field of data science\n3. Solving data science problems by applying statistical concepts learned using statistics-based\nsoftware or programming\nSynopsis of Course Content\nThe course will provide an opportunity for in-depth study of statistics techniques that are useful in data\n\nKeywords: applications, concepts, content, course, data, explain, field, internet, network, problems, standards, statistics"}
+{"kb_id": "RAGKB-0447", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00447", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 13", "pages": [81], "chunk_index": 13, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "bayesian", "continuous", "course", "distribution", "evaluation", "examination", "final", "include", "inference", "probability", "relevant"], "retrieval_tags": [], "source_text": "science. Topics relevant to the course include probability distribution, inference and bayesian statistics.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%\nmm", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\nscience. Topics relevant to the course include probability distribution, inference and bayesian statistics.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 40%\nmm\n\nKeywords: assessment, bayesian, continuous, course, distribution, evaluation, examination, final, include, inference, probability, relevant"}
+{"kb_id": "RAGKB-0448", "knowledge_group_id": "KG-0024", "source_chunk_id": "SC-00448", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master in Data Science", "subsection": "List of Courses and Contents", "title": "Master in Data Science - List of Courses and Contents - chunk 14", "pages": [82], "chunk_index": 14, "group_size_chunks": 14, "group_size_qas": 8, "linked_index_ids": ["UMI-0033", "UMI-0232", "UMI-0233"], "group_canonical_questions": ["What courses and course contents are listed for Master in Data Science?", "Which course titles are listed for Master in Data Science?", "What subject areas or themes are covered by the listed courses in Master in Data Science?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "course", "covers", "high", "language", "level", "natural", "nlp", "pre-processing", "processing", "task", "techniques"], "retrieval_tags": [], "source_text": "‘WQF7007 Natural Language Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the Natural Language Processing (NLP) techniques in various domains.\n2. Design a Natural Language Processing (NLP) solution to resolve issues related to unstructured\ntext.\n3. Develop an NLP application by integrating all processes in the NLP pipeline which are\npre-processing, low level task and high level task.\n‘Synopsis of Course Content\nNatural language processing (NLP) is one of the most important areas in Artificial Intelligence (Al).\nThis course covers the theory and practice of NLP through techniques for different levels which are\npre-processing, low-level and high level. It also covers recent techniques and applications in NLP\nincluding Sentiment Analysis, Machine Translation, Topic Modeling and Named Entity Recognition.\nEvaluation and Weightage\nContinuous Assessment : 70%\nFinal Examination 30%", "retrieval_text": "Title: Master in Data Science - List of Courses and Contents - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master in Data Science\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master in Data Science?\n- Which course titles are listed for Master in Data Science?\n- What subject areas or themes are covered by the listed courses in Master in Data Science?\n\nSource chunk text:\n‘WQF7007 Natural Language Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the Natural Language Processing (NLP) techniques in various domains.\n2. Design a Natural Language Processing (NLP) solution to resolve issues related to unstructured\ntext.\n3. Develop an NLP application by integrating all processes in the NLP pipeline which are\npre-processing, low level task and high level task.\n‘Synopsis of Course Content\nNatural language processing (NLP) is one of the most important areas in Artificial Intelligence (Al).\nThis course covers the theory and practice of NLP through techniques for different levels which are\npre-processing, low-level and high level. It also covers recent techniques and applications in NLP\nincluding Sentiment Analysis, Machine Translation, Topic Modeling and Named Entity Recognition.\nEvaluation and Weightage\nContinuous Assessment : 70%\nFinal Examination 30%\n\nKeywords: able, course, covers, high, language, level, natural, nlp, pre-processing, processing, task, techniques"}
+{"kb_id": "RAGKB-0449", "knowledge_group_id": "KG-0046", "source_chunk_id": "SC-00449", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Requirements", "title": "Master of Cyber Security - Programme Requirements - chunk 1", "pages": [84], "chunk_index": 1, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0034", "UMI-0234", "UMI-0235"], "group_canonical_questions": ["What are the programme requirements for Master of Cyber Security?", "What admission background or entry qualifications are described for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "chunk_question_variants": ["What admission background or entry qualifications are described for Master of Cyber Security?", "Could you tell me what admission background or entry qualifications are described for Master of Cyber Security?", "Quick one: what admission background or entry qualifications are described for Master of Cyber Security?"], "matched_qa_ids": ["qa_000234", "qa_000771", "qa_000772"], "grounded_answer_bank": ["The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria."], "retrieval_keywords": ["Master of Cyber Security", "admission", "bachelor's", "degree", "entry qualifications", "field", "fields", "gpa", "least", "one", "qualifications", "science/information", "technology/related", "time"], "retrieval_tags": ["master_of_cyber_security", "postgraduate", "programme_requirements"], "source_text": "PROGRAMME REQUIREMENTS\nSS\n4. Programme Type\nThe type of programme offered for the Master of Cyber Security is a programme consisting 10\ncoursework which prepares students for the final capstone project which allows students to\napply the knowledge they learned in the taught courses into real world applications\n2. Admission\n(2) Qualifications for Admission\n(i) Bachelor's degree with a GPA of not less than 3,00 in the field of Computer\nScience/information Technology/related fields;\nOR\n(ii) Bachelor's Degree with GPA (2.70 - 2.99) in the field of Computer\nScience/Information Technology/related fields and meet at least one (1) of the\nfollowing criteria’\n¢ Graduated from the University of Malaya\nHave at least one (1) year of work experience in a related field\n‘¢ Produce publications in relevant fields\n‘ Scholarship recipient\nis an employee of a government agency.\nPass the Faculty interview; or\n¢ passed the faculty's special assessment\noR\n(iii) Specialist qualification from a recognized professional body;\nOR\n(iv) Other qualifications approved by the Senate from time to time.", "retrieval_text": "Title: Master of Cyber Security - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Cyber Security?\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nQuestion variants:\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- Could you tell me what admission background or entry qualifications are described for Master of Cyber Security?\n- Quick one: what admission background or entry qualifications are described for Master of Cyber Security?\n\nGrounded answer bank:\n- The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.\n\nSource chunk text:\nPROGRAMME REQUIREMENTS\nSS\n4. Programme Type\nThe type of programme offered for the Master of Cyber Security is a programme consisting 10\ncoursework which prepares students for the final capstone project which allows students to\napply the knowledge they learned in the taught courses into real world applications\n2. Admission\n(2) Qualifications for Admission\n(i) Bachelor's degree with a GPA of not less than 3,00 in the field of Computer\nScience/information Technology/related fields;\nOR\n(ii) Bachelor's Degree with GPA (2.70 - 2.99) in the field of Computer\nScience/Information Technology/related fields and meet at least one (1) of the\nfollowing criteria’\n¢ Graduated from the University of Malaya\nHave at least one (1) year of work experience in a related field\n‘¢ Produce publications in relevant fields\n‘ Scholarship recipient\nis an employee of a government agency.\nPass the Faculty interview; or\n¢ passed the faculty's special assessment\noR\n(iii) Specialist qualification from a recognized professional body;\nOR\n(iv) Other qualifications approved by the Senate from time to time.\n\nKeywords: Master of Cyber Security, admission, bachelor's, degree, entry qualifications, field, fields, gpa, least, one, qualifications, science/information, technology/related, time"}
+{"kb_id": "RAGKB-0450", "knowledge_group_id": "KG-0046", "source_chunk_id": "SC-00450", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Requirements", "title": "Master of Cyber Security - Programme Requirements - chunk 2", "pages": [85], "chunk_index": 2, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0034", "UMI-0234", "UMI-0235"], "group_canonical_questions": ["What are the programme requirements for Master of Cyber Security?", "What admission background or entry qualifications are described for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "degree", "english", "follow", "higher", "ielts", "language", "minimum", "requirements", "score", "test", "than"], "retrieval_tags": [], "source_text": "(b)\nEnglish Language Competency Requirements\n(i) Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree J\nin question who wish to follow a degree program and/or to write their dissertation in\nEnglish are required to meet the following requirements:\n‘* A minimum score of 550 for the paper-based test (PBT), a score of 213 for the\n‘computer-based test (CBT) or a score of 80 for the internet-based test (iBT)\nfor the Test of English as a Foreign Language (TOEFL);\n‘* Minimum band 6.0 for the international English Language Testing System\n(IELTS) (Academic);\ncores according to the respective program standards if higher than (a) and (b);\n‘* For any program standard that places the TOEFL or IELTS (Academic) score\nlower than the University's minimum score, those programs must follow the\nminimum score that has been set by the University;\n‘* Minimum score of 57 Pearson Test of Academic English (PTE Academic);", "retrieval_text": "Title: Master of Cyber Security - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Cyber Security?\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nSource chunk text:\n(b)\nEnglish Language Competency Requirements\n(i) Non-citizen applicants who obtained their degree from a university or institution of\nhigher learning that does not use English as the medium of instruction for the degree J\nin question who wish to follow a degree program and/or to write their dissertation in\nEnglish are required to meet the following requirements:\n‘* A minimum score of 550 for the paper-based test (PBT), a score of 213 for the\n‘computer-based test (CBT) or a score of 80 for the internet-based test (iBT)\nfor the Test of English as a Foreign Language (TOEFL);\n‘* Minimum band 6.0 for the international English Language Testing System\n(IELTS) (Academic);\ncores according to the respective program standards if higher than (a) and (b);\n‘* For any program standard that places the TOEFL or IELTS (Academic) score\nlower than the University's minimum score, those programs must follow the\nminimum score that has been set by the University;\n‘* Minimum score of 57 Pearson Test of Academic English (PTE Academic);\n\nKeywords: academic, degree, english, follow, higher, ielts, language, minimum, requirements, score, test, than"}
+{"kb_id": "RAGKB-0451", "knowledge_group_id": "KG-0046", "source_chunk_id": "SC-00451", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Requirements", "title": "Master of Cyber Security - Programme Requirements - chunk 3", "pages": [85], "chunk_index": 3, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0034", "UMI-0234", "UMI-0235"], "group_canonical_questions": ["What are the programme requirements for Master of Cyber Security?", "What admission background or entry qualifications are described for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "chunk_question_variants": ["What are the programme requirements for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?", "Could you list the programme requirements for Master of Cyber Security?", "BTW, what are the programme requirements for Master of Cyber Security?", "Could you tell me what study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "matched_qa_ids": ["qa_000034", "qa_000235", "qa_000462", "qa_000463", "qa_000773"], "grounded_answer_bank": ["The Master of Cyber Security is a 43-credit coursework programme. Its structure comprises eight core discipline courses of three or four credits, two 4-credit electives, and a 10-credit Cyber Security Research Project. The study duration is two semesters plus one special semester, up to eight semesters. International applicants must meet the stated English requirements, including the listed TOEFL, IELTS, PTE, Cambridge, SPM English, or MUET thresholds, with specific exemption cases also stated in the handbook."], "retrieval_keywords": ["Master of Cyber Security", "assessment", "cambridge", "coursework", "credit structure", "education", "english", "format", "grade", "have", "language", "minimum", "programme requirements", "semesters", "shall", "study", "study mode"], "retrieval_tags": ["master_of_cyber_security", "postgraduate", "programme_requirements"], "source_text": "‘* Minimum grade C for English subject in General Certificate of Education (A-\nLevel);\n‘¢ Minimum grade C in 82 First by Cambridge Assessment English;\n‘¢ Minimum grade C in C1 Advanced by Cambridge Assessment English;\n‘* Minimum grade C in C2 Proficiency by Cambridge Assessment English, or\n‘¢ Minimum band 4 in Malaysian University English Test (MUET).\n(i) Non-citizen applicants with the following backgrounds are exempt from the\nprescribed English language qualification requirements.\n‘* Comes from a country where English is the national language;\n‘* Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\n‘¢ Have studied in Malaysia and intend to pursue further education, subject to\ncondition (b).\nDuration of Study\n‘The programme of study: two (2) semesters + one (1) special semester, to eight (8) semesters.\nProgramme Structure\n- 2)\nThe Master of Cyber Security Programme through coursework shall have a total of\nforty-three (43) credits.\nThrough Coursework\n(i) The programme shall consist of two parts:\n(2) Part | comprises:", "retrieval_text": "Title: Master of Cyber Security - Programme Requirements - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Cyber Security?\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nQuestion variants:\n- What are the programme requirements for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n- Could you list the programme requirements for Master of Cyber Security?\n- BTW, what are the programme requirements for Master of Cyber Security?\n- Could you tell me what study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nGrounded answer bank:\n- The Master of Cyber Security is a 43-credit coursework programme. Its structure comprises eight core discipline courses of three or four credits, two 4-credit electives, and a 10-credit Cyber Security Research Project. The study duration is two semesters plus one special semester, up to eight semesters. International applicants must meet the stated English requirements, including the listed TOEFL, IELTS, PTE, Cambridge, SPM English, or MUET thresholds, with specific exemption cases also stated in the handbook.\n\nSource chunk text:\n‘* Minimum grade C for English subject in General Certificate of Education (A-\nLevel);\n‘¢ Minimum grade C in 82 First by Cambridge Assessment English;\n‘¢ Minimum grade C in C1 Advanced by Cambridge Assessment English;\n‘* Minimum grade C in C2 Proficiency by Cambridge Assessment English, or\n‘¢ Minimum band 4 in Malaysian University English Test (MUET).\n(i) Non-citizen applicants with the following backgrounds are exempt from the\nprescribed English language qualification requirements.\n‘* Comes from a country where English is the national language;\n‘* Possess an academic credential from an institution where English is the sole\nmedium of instruction; or\n‘¢ Have studied in Malaysia and intend to pursue further education, subject to\ncondition (b).\nDuration of Study\n‘The programme of study: two (2) semesters + one (1) special semester, to eight (8) semesters.\nProgramme Structure\n- 2)\nThe Master of Cyber Security Programme through coursework shall have a total of\nforty-three (43) credits.\nThrough Coursework\n(i) The programme shall consist of two parts:\n(2) Part | comprises:\n\nKeywords: Master of Cyber Security, assessment, cambridge, coursework, credit structure, education, english, format, grade, have, language, minimum, programme requirements, semesters, shall, study, study mode"}
+{"kb_id": "RAGKB-0452", "knowledge_group_id": "KG-0046", "source_chunk_id": "SC-00452", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Requirements", "title": "Master of Cyber Security - Programme Requirements - chunk 4", "pages": [85], "chunk_index": 4, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0034", "UMI-0234", "UMI-0235"], "group_canonical_questions": ["What are the programme requirements for Master of Cyber Security?", "What admission background or entry qualifications are described for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["candidates", "comprise", "core", "courses", "credits", "deemed", "discipline", "each", "eight", "elective", "enrol", "four"], "retrieval_tags": [], "source_text": "(i) eight (8) core discipline courses, comprise of three or four credits\ncourses; and\n(ii) two (2) elective courses, each four credits\n(b) Candidates may be imposed to enrol in other courses and obtain\nsatisfactory results deemed necessary by the Faculty,\nOm", "retrieval_text": "Title: Master of Cyber Security - Programme Requirements - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Cyber Security?\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nSource chunk text:\n(i) eight (8) core discipline courses, comprise of three or four credits\ncourses; and\n(ii) two (2) elective courses, each four credits\n(b) Candidates may be imposed to enrol in other courses and obtain\nsatisfactory results deemed necessary by the Faculty,\nOm\n\nKeywords: candidates, comprise, core, courses, credits, deemed, discipline, each, eight, elective, enrol, four"}
+{"kb_id": "RAGKB-0453", "knowledge_group_id": "KG-0046", "source_chunk_id": "SC-00453", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Requirements", "title": "Master of Cyber Security - Programme Requirements - chunk 5", "pages": [86], "chunk_index": 5, "group_size_chunks": 5, "group_size_qas": 8, "linked_index_ids": ["UMI-0034", "UMI-0234", "UMI-0235"], "group_canonical_questions": ["What are the programme requirements for Master of Cyber Security?", "What admission background or entry qualifications are described for Master of Cyber Security?", "What study mode, credit structure, or programme format is indicated for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analysis", "approved", "candidates", "case", "consist", "courses", "credits", "cyber", "list", "senate", "shall", "time"], "retrieval_tags": [], "source_text": "(3)\n(4)\n() Part Il consist of a ten (10) credits project and shall involve investigation\nand analysis of a real world case study, leading to the submission of a\nreport.\nDetails of courses offered shalll be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\nThe list of Senate approved courses for the Master of Cyber Security Programme shall\nbe as indicated in List 4", "retrieval_text": "Title: Master of Cyber Security - Programme Requirements - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Cyber Security?\n- What admission background or entry qualifications are described for Master of Cyber Security?\n- What study mode, credit structure, or programme format is indicated for Master of Cyber Security?\n\nSource chunk text:\n(3)\n(4)\n() Part Il consist of a ten (10) credits project and shall involve investigation\nand analysis of a real world case study, leading to the submission of a\nreport.\nDetails of courses offered shalll be of those approved by the Senate from time to time\n‘on the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\nThe list of Senate approved courses for the Master of Cyber Security Programme shall\nbe as indicated in List 4\n\nKeywords: analysis, approved, candidates, case, consist, courses, credits, cyber, list, senate, shall, time"}
+{"kb_id": "RAGKB-0454", "knowledge_group_id": "KG-0045", "source_chunk_id": "SC-00454", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Objectives and Outcomes", "title": "Master of Cyber Security - Programme Objectives and Outcomes - chunk 1", "pages": [87], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0035", "UMI-0236", "UMI-0237"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "What learning or programme outcome themes are emphasized for Master of Cyber Security?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "What learning or programme outcome themes are emphasized for Master of Cyber Security?", "Could you list the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "Ngl, what are the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "Could you tell me what graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "Ngl, what graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "Could you tell me what learning or programme outcome themes are emphasized for Master of Cyber Security?"], "matched_qa_ids": ["qa_000035", "qa_000236", "qa_000237", "qa_000464", "qa_000465", "qa_000774", "qa_000775", "qa_000776"], "grounded_answer_bank": ["The programme objectives emphasise advanced cyber security knowledge and practical digital skills, professional and ethical collaboration with organisations and communities, and positive attitudes toward lifelong learning, entrepreneurship, and sustainability. The learning outcomes highlight critical analysis of advanced cyber security knowledge, solving relevant issues through analytical and critical skills, practical use of cyber security methods to estimate, analyse, interpret, and disseminate information, communication with peers and communities, innovative solution design, leadership and autonomy, and commitment to professional development.", "The programme aims to develop graduates with advanced cyber security knowledge and practical digital skills, the ability to collaborate professionally and ethically with organisations and communities, and the capacity to design innovative strategies for current cyber threats.", "The learning outcomes emphasise advanced cyber security knowledge, analytical and critical problem solving, practical use of cyber security methods and digital tools, effective communication with peers and communities, innovative solution design, leadership and autonomy, lifelong learning, entrepreneurship, sustainability, and professional ethics."], "retrieval_keywords": ["Master of Cyber Security", "advanced", "cyber", "digital", "field", "graduate capabilities", "graduates", "have", "innovative", "knowledge", "learning", "learning outcomes", "outcomes", "security", "skills", "themes"], "retrieval_tags": ["master_of_cyber_security", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "PROGRAMME OBJECTIVES &\nOUTCOMES\noe\nPROGRAMME EDUCATION OBJECTIVES (PEO)\n1. Graduates have advanced knowledge and practical skills, capable of using innovative\ntechniques and digital technologies in the field of cyber security. ~’\n2. Graduates equipped with professional and ethical practices colaborate with organisations and \"7A\ncommunities in developing innovative strategies to address present cyber threats.\n3. Graduates with a positive attitude, entrepreneurial mind set and sustainable practices\nprogress toward lifelong learning for careers and professional development in cyber security.\nPROGRAMME LEARNING OUTCOMES\nNo. Programme Learning Outcomes POs | Taxonomic Category\n1. [Critically analyse advanced knowledge and have capability to\njurther develop related disciplines in the cyber security field. Pol K\n2. [Evaluate emerging scenarios and innovatively solve relevant issues\nthrough mastery of knowledge, analytical and critical skills\n3. Utilize various practical skills and digital technology methods of\n-yber security solutions to estimate, analyze, interpret and Po3 KP.", "retrieval_text": "Title: Master of Cyber Security - Programme Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Cyber Security?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Cyber Security?\n- Could you list the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- Ngl, what are the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- Could you tell me what graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- Ngl, what graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- Could you tell me what learning or programme outcome themes are emphasized for Master of Cyber Security?\n\nGrounded answer bank:\n- The programme objectives emphasise advanced cyber security knowledge and practical digital skills, professional and ethical collaboration with organisations and communities, and positive attitudes toward lifelong learning, entrepreneurship, and sustainability. The learning outcomes highlight critical analysis of advanced cyber security knowledge, solving relevant issues through analytical and critical skills, practical use of cyber security methods to estimate, analyse, interpret, and disseminate information, communication with peers and communities, innovative solution design, leadership and autonomy, and commitment to professional development.\n- The programme aims to develop graduates with advanced cyber security knowledge and practical digital skills, the ability to collaborate professionally and ethically with organisations and communities, and the capacity to design innovative strategies for current cyber threats.\n- The learning outcomes emphasise advanced cyber security knowledge, analytical and critical problem solving, practical use of cyber security methods and digital tools, effective communication with peers and communities, innovative solution design, leadership and autonomy, lifelong learning, entrepreneurship, sustainability, and professional ethics.\n\nSource chunk text:\nPROGRAMME OBJECTIVES &\nOUTCOMES\noe\nPROGRAMME EDUCATION OBJECTIVES (PEO)\n1. Graduates have advanced knowledge and practical skills, capable of using innovative\ntechniques and digital technologies in the field of cyber security. ~’\n2. Graduates equipped with professional and ethical practices colaborate with organisations and \"7A\ncommunities in developing innovative strategies to address present cyber threats.\n3. Graduates with a positive attitude, entrepreneurial mind set and sustainable practices\nprogress toward lifelong learning for careers and professional development in cyber security.\nPROGRAMME LEARNING OUTCOMES\nNo. Programme Learning Outcomes POs | Taxonomic Category\n1. [Critically analyse advanced knowledge and have capability to\njurther develop related disciplines in the cyber security field. Pol K\n2. [Evaluate emerging scenarios and innovatively solve relevant issues\nthrough mastery of knowledge, analytical and critical skills\n3. Utilize various practical skills and digital technology methods of\n-yber security solutions to estimate, analyze, interpret and Po3 KP.\n\nKeywords: Master of Cyber Security, advanced, cyber, digital, field, graduate capabilities, graduates, have, innovative, knowledge, learning, learning outcomes, outcomes, security, skills, themes"}
+{"kb_id": "RAGKB-0455", "knowledge_group_id": "KG-0045", "source_chunk_id": "SC-00455", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Objectives and Outcomes", "title": "Master of Cyber Security - Programme Objectives and Outcomes - chunk 2", "pages": [87], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0035", "UMI-0236", "UMI-0237"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "What learning or programme outcome themes are emphasized for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["abilities", "accordance", "additional", "attachment", "attitude", "autonomy", "bodies", "demonstrate", "learning", "outcomes", "pos", "professional"], "retrieval_tags": [], "source_text": "lisseminate information\nPo2 K\n4. [Demonstrate abilities to communicate and work effectively with]\nt 4 ‘ Pos kp\nyeers, professional bodies and various communities\n5. Pesien innovative and effective solutions using digital technologies\nind scientific and numeric skills POS PA\n6. Equip with leadership qualities and interpersonal proficiency te\n|demonstrate responsibility and autonomy in dynamic educational PO6 PA\nland organizational settings\n7 [Exhibit positive attitude and commitment to lifelong learning with\nentrepreneurial mind-set and professional development.\nPLO7 KA\nTotal hours of student learning time for the entire program is 43 credits.\nf Vv\nA. WA Gist oF7 domains of learning outcomes in accordance with the MQF program. Please refer to the\nM attachment. Additional learning outcomes can be given if necessary)\nx\n) A\nVv\nAy”", "retrieval_text": "Title: Master of Cyber Security - Programme Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Cyber Security?\n\nSource chunk text:\nlisseminate information\nPo2 K\n4. [Demonstrate abilities to communicate and work effectively with]\nt 4 ‘ Pos kp\nyeers, professional bodies and various communities\n5. Pesien innovative and effective solutions using digital technologies\nind scientific and numeric skills POS PA\n6. Equip with leadership qualities and interpersonal proficiency te\n|demonstrate responsibility and autonomy in dynamic educational PO6 PA\nland organizational settings\n7 [Exhibit positive attitude and commitment to lifelong learning with\nentrepreneurial mind-set and professional development.\nPLO7 KA\nTotal hours of student learning time for the entire program is 43 credits.\nf Vv\nA. WA Gist oF7 domains of learning outcomes in accordance with the MQF program. Please refer to the\nM attachment. Additional learning outcomes can be given if necessary)\nx\n) A\nVv\nAy”\n\nKeywords: abilities, accordance, additional, attachment, attitude, autonomy, bodies, demonstrate, learning, outcomes, pos, professional"}
+{"kb_id": "RAGKB-0456", "knowledge_group_id": "KG-0045", "source_chunk_id": "SC-00456", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Programme Objectives and Outcomes", "title": "Master of Cyber Security - Programme Objectives and Outcomes - chunk 3", "pages": [88], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0035", "UMI-0236", "UMI-0237"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?", "What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?", "What learning or programme outcome themes are emphasized for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["against", "atecive", "domain", "educational", "learning", "notes", "outcomes", "peo", "pos", "ptos", "reference", "skills"], "retrieval_tags": [], "source_text": "y\nMATRIX OF PROGRAMME LEARNING\nEDUCATIONAL OBJECTIVE (PEO)\nOUTCOMES (PEO) AGAINST PROGRAMME\nBerets Programme Educational\nOutcomes (PLO) Objectives (PFO).\npeo1 | PEO2 | PEO3\n|pLoa x\nlpto2 x\n|pto 3 x\n|ptoa x\nptos x\nptos Xx\n|pLo7 x\nlos x\nReference notes:\nThe Domain of the MQF in Programme Learning Outcomes program (PO)\nPO Domain\nPO1 Knowledge\nPo2 Practical Skills\nPO3 Social Skills and Responsibility\nPo4 Values, Attitudes and Professionalism\nPOS ‘Communication, Leadership and Team Skills\nPos Problem Solving and Scientific Skills\nPO7 Information Management and Life Long Learning Skills\nPos Managerial and Entrepreneurial Skills\nReference notes:\nTaxonomic Category\nv K Cognit\ngnitive\nAD A Atecive\nP Psychomotor\nA", "retrieval_text": "Title: Master of Cyber Security - Programme Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Cyber Security?\n- What graduate capabilities or professional strengths does Master of Cyber Security aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Cyber Security?\n\nSource chunk text:\ny\nMATRIX OF PROGRAMME LEARNING\nEDUCATIONAL OBJECTIVE (PEO)\nOUTCOMES (PEO) AGAINST PROGRAMME\nBerets Programme Educational\nOutcomes (PLO) Objectives (PFO).\npeo1 | PEO2 | PEO3\n|pLoa x\nlpto2 x\n|pto 3 x\n|ptoa x\nptos x\nptos Xx\n|pLo7 x\nlos x\nReference notes:\nThe Domain of the MQF in Programme Learning Outcomes program (PO)\nPO Domain\nPO1 Knowledge\nPo2 Practical Skills\nPO3 Social Skills and Responsibility\nPo4 Values, Attitudes and Professionalism\nPOS ‘Communication, Leadership and Team Skills\nPos Problem Solving and Scientific Skills\nPO7 Information Management and Life Long Learning Skills\nPos Managerial and Entrepreneurial Skills\nReference notes:\nTaxonomic Category\nv K Cognit\ngnitive\nAD A Atecive\nP Psychomotor\nA\n\nKeywords: against, atecive, domain, educational, learning, notes, outcomes, peo, pos, ptos, reference, skills"}
+{"kb_id": "RAGKB-0457", "knowledge_group_id": "KG-0043", "source_chunk_id": "SC-00457", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Course Plan", "title": "Master of Cyber Security - Course Plan - chunk 1", "pages": [89], "chunk_index": 1, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0036", "UMI-0238", "UMI-0239"], "group_canonical_questions": ["What is the course plan for Master of Cyber Security?", "How is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?"], "chunk_question_variants": ["What is the course plan for Master of Cyber Security?", "How is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?", "Could you explain the course plan for Master of Cyber Security?", "So basically, what's the course plan for Master of Cyber Security?", "Could you explain how is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Quick check: how is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?"], "matched_qa_ids": ["qa_000036", "qa_000238", "qa_000239", "qa_000466", "qa_000467", "qa_000777", "qa_000778", "qa_000779"], "grounded_answer_bank": ["The course plan shows a taught pathway built around eight core discipline courses, two electives, and a 10-credit Cyber Security Research Project. The core block establishes research methodology, cyber security, network security, cryptography, information assurance, digital forensics, and related topics, while electives let students deepen areas such as wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing. The research project appears after the required core foundation is completed."], "retrieval_keywords": ["Master of Cyber Security", "academic", "advanced", "after", "computing", "core", "core courses", "course plan", "courses", "cyber", "network", "research", "security", "semester", "semesters", "wox7001"], "retrieval_tags": ["course_plan", "master_of_cyber_security", "postgraduate"], "source_text": "+35.\ni? <\nCOURSE PLAN\nINTAKE SEMESTER | 2025/2026\n‘Semester | | Semester Il | Semester Ill\nMASTER OF CYBER SECURITY Credits} 2925/2026 | 2025/2028 | 2025/2026\nCore Courses\nwox7001 | Research Methodology 3 v\nwae7001 | Cyber Security 3 v\nwae7o02 | Advanced Network Security 4 r\nProgramming\nNetwork Technology and\nWae7007 | Secunty -| v\nCryptography and Information\n'WQE7003 Hiding 3 Vv\nWQE7004 Information Assurance 3 v\nWQE7005_| Advanced Digital Forensics 3 Vv\nW0C7020 | Advanced internet of Thing 3 v\n‘Cyber Security Research\nWAQE7008 | Eroject 10 v v\nWeen Cyber ‘Security Research 40 y v\nroject\nElective Courses [Students are required to choose any 2 courses from the list\nbelow]\nWQE7008 | Wireless Networking and r ;\nMobile Computing #\nWQE7011 | Advanced Computer 4 if\nPenetration and Defense\nwae7009 | Emerging Cyber Security 4 v\nTrends\nWQE7010 | Cloud Computing 4 4\nNote:\n*Students are only allowed to register for the WOE7006/WQE7023 (commencement of the 2024/2024\nacademic year) Cyber Security Research Project after completing at least three (3) core discipline\ncourses (including WOX7001)", "retrieval_text": "Title: Master of Cyber Security - Course Plan - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Cyber Security?\n- How is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n\nQuestion variants:\n- What is the course plan for Master of Cyber Security?\n- How is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n- Could you explain the course plan for Master of Cyber Security?\n- So basically, what's the course plan for Master of Cyber Security?\n- Could you explain how is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Quick check: how is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n\nGrounded answer bank:\n- The course plan shows a taught pathway built around eight core discipline courses, two electives, and a 10-credit Cyber Security Research Project. The core block establishes research methodology, cyber security, network security, cryptography, information assurance, digital forensics, and related topics, while electives let students deepen areas such as wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing. The research project appears after the required core foundation is completed.\n\nSource chunk text:\n+35.\ni? <\nCOURSE PLAN\nINTAKE SEMESTER | 2025/2026\n‘Semester | | Semester Il | Semester Ill\nMASTER OF CYBER SECURITY Credits} 2925/2026 | 2025/2028 | 2025/2026\nCore Courses\nwox7001 | Research Methodology 3 v\nwae7001 | Cyber Security 3 v\nwae7o02 | Advanced Network Security 4 r\nProgramming\nNetwork Technology and\nWae7007 | Secunty -| v\nCryptography and Information\n'WQE7003 Hiding 3 Vv\nWQE7004 Information Assurance 3 v\nWQE7005_| Advanced Digital Forensics 3 Vv\nW0C7020 | Advanced internet of Thing 3 v\n‘Cyber Security Research\nWAQE7008 | Eroject 10 v v\nWeen Cyber ‘Security Research 40 y v\nroject\nElective Courses [Students are required to choose any 2 courses from the list\nbelow]\nWQE7008 | Wireless Networking and r ;\nMobile Computing #\nWQE7011 | Advanced Computer 4 if\nPenetration and Defense\nwae7009 | Emerging Cyber Security 4 v\nTrends\nWQE7010 | Cloud Computing 4 4\nNote:\n*Students are only allowed to register for the WOE7006/WQE7023 (commencement of the 2024/2024\nacademic year) Cyber Security Research Project after completing at least three (3) core discipline\ncourses (including WOX7001)\n\nKeywords: Master of Cyber Security, academic, advanced, after, computing, core, core courses, course plan, courses, cyber, network, research, security, semester, semesters, wox7001"}
+{"kb_id": "RAGKB-0458", "knowledge_group_id": "KG-0043", "source_chunk_id": "SC-00458", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Course Plan", "title": "Master of Cyber Security - Course Plan - chunk 2", "pages": [89], "chunk_index": 2, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0036", "UMI-0238", "UMI-0239"], "group_canonical_questions": ["What is the course plan for Master of Cyber Security?", "How is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["availability", "change", "courses", "depending", "every", "number", "offered", "registering", "semester", "staff", "subject", "will"], "retrieval_tags": [], "source_text": "‘The courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering.", "retrieval_text": "Title: Master of Cyber Security - Course Plan - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Cyber Security?\n- How is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n\nSource chunk text:\n‘The courses that will be offered every semester are subject to change, depending on the availability of\nstaff and the number of students registering.\n\nKeywords: availability, change, courses, depending, every, number, offered, registering, semester, staff, subject, will"}
+{"kb_id": "RAGKB-0459", "knowledge_group_id": "KG-0043", "source_chunk_id": "SC-00459", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Course Plan", "title": "Master of Cyber Security - Course Plan - chunk 3", "pages": [90], "chunk_index": 3, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0036", "UMI-0238", "UMI-0239"], "group_canonical_questions": ["What is the course plan for Master of Cyber Security?", "How is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "advanced", "computing", "core", "courses", "cyber", "network", "project", "research", "security", "semester", "wox7001"], "retrieval_tags": [], "source_text": "COURSE PLAN\nSemester II| Semester ill | Semester | ‘we\nMASTER OF CYBER SECURITY Credits! 2995/2026 | 2025/2026 | 2026/2027\ny\nCore Courses\nwox7001_ | Research Methodology 3 v ~~\nwae7001 | Cyber Security 3 v A 4\n‘Advanced Network Security\nWae7002_| Programming 4 v\nNetwork Technology and\nWAQE7007 | Security 3 a\nCryptography and Information\nWaOE7003 | Hiding 3 y\nWae7004_| Information Assurance g rr\nWQE7005_ | Advanced Digital Forensios 3 V\nWo0C7020 | Advanced Internet of Thing 3 v\nwaevo0s | Cyber Security Research 40 y y\nProject\nCyber Security Research ;\nWQE7023. | Project 10 v v\nElective Courses [Students are required to choose any 2 courses from the list\nbelow)\nWQE7008 | Wireless Networking and F i\nMobile Computing ¥\nWQE7011_ | Advanced Computer 4 v\nPenetration and Defense\nWAQeE7009 | Emerging Cyber Security a v\nTrends\nWQE7010_ | Cloud Computing 4 ¥\nPW Note:\n*Students are only allowed to register for the WQE7006/W/QE7023 (commencement of the 2023/2024\n‘academic year) Cyber Security Research Project after completing at least three (3) core discipline\nA courses (including WOX7001)", "retrieval_text": "Title: Master of Cyber Security - Course Plan - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Cyber Security?\n- How is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n\nSource chunk text:\nCOURSE PLAN\nSemester II| Semester ill | Semester | ‘we\nMASTER OF CYBER SECURITY Credits! 2995/2026 | 2025/2026 | 2026/2027\ny\nCore Courses\nwox7001_ | Research Methodology 3 v ~~\nwae7001 | Cyber Security 3 v A 4\n‘Advanced Network Security\nWae7002_| Programming 4 v\nNetwork Technology and\nWAQE7007 | Security 3 a\nCryptography and Information\nWaOE7003 | Hiding 3 y\nWae7004_| Information Assurance g rr\nWQE7005_ | Advanced Digital Forensios 3 V\nWo0C7020 | Advanced Internet of Thing 3 v\nwaevo0s | Cyber Security Research 40 y y\nProject\nCyber Security Research ;\nWQE7023. | Project 10 v v\nElective Courses [Students are required to choose any 2 courses from the list\nbelow)\nWQE7008 | Wireless Networking and F i\nMobile Computing ¥\nWQE7011_ | Advanced Computer 4 v\nPenetration and Defense\nWAQeE7009 | Emerging Cyber Security a v\nTrends\nWQE7010_ | Cloud Computing 4 ¥\nPW Note:\n*Students are only allowed to register for the WQE7006/W/QE7023 (commencement of the 2023/2024\n‘academic year) Cyber Security Research Project after completing at least three (3) core discipline\nA courses (including WOX7001)\n\nKeywords: academic, advanced, computing, core, courses, cyber, network, project, research, security, semester, wox7001"}
+{"kb_id": "RAGKB-0460", "knowledge_group_id": "KG-0043", "source_chunk_id": "SC-00460", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "Course Plan", "title": "Master of Cyber Security - Course Plan - chunk 4", "pages": [90], "chunk_index": 4, "group_size_chunks": 4, "group_size_qas": 8, "linked_index_ids": ["UMI-0036", "UMI-0238", "UMI-0239"], "group_canonical_questions": ["What is the course plan for Master of Cyber Security?", "How is the course plan for Master of Cyber Security distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["availability", "change", "courses", "depending", "every", "number", "offered", "registering", "semester", "staff", "subject", "will"], "retrieval_tags": [], "source_text": "vw The courses that will be offered every semester are subject to change, depending on the availability of\nx staff and the number of students registering.\nva\nAy”\nVv\nA", "retrieval_text": "Title: Master of Cyber Security - Course Plan - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Cyber Security?\n- How is the course plan for Master of Cyber Security distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Cyber Security?\n\nSource chunk text:\nvw The courses that will be offered every semester are subject to change, depending on the availability of\nx staff and the number of students registering.\nva\nAy”\nVv\nA\n\nKeywords: availability, change, courses, depending, every, number, offered, registering, semester, staff, subject, will"}
+{"kb_id": "RAGKB-0461", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00461", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 1", "pages": [91, 92], "chunk_index": 1, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "Could you tell me what courses and course contents are listed for Master of Cyber Security?", "Quick check: what courses and course contents are listed for Master of Cyber Security?", "Could you tell me which course titles are listed for Master of Cyber Security?", "Hey, which course titles are listed for Master of Cyber Security?", "Could you tell me what subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "matched_qa_ids": ["qa_000037", "qa_000240", "qa_000468", "qa_000469", "qa_000780", "qa_000781", "qa_000782"], "grounded_answer_bank": ["The listed core courses are WOX7001 Research Methodology, WQE7001 Cyber Security, WQE7002 Advanced Network Security Programming, WQE7003 Cryptography and Information Hiding, WQE7004 Information Assurance, WQE7005 Advanced Digital Forensics, WQE7007 Network Technology and Security, WOC7020 Advanced Internet of Thing, and WQE7023 Cyber Security Research Project. The electives are WQE7008 Wireless Networking and Mobile Computing, WQE7009 Emerging Cyber Security Trends, WQE7010 Cloud Computing, and WQE7011 Advanced Computer Penetration and Defense. The handbook notes that the Cyber Security Research Project may only be taken after completing at least three core discipline courses, including WOX7001.", "The listed course titles are Research Methodology, Cyber Security, Advanced Network Security Programming, Cryptography and Information Hiding, Information Assurance, Advanced Digital Forensics, Network Technology and Security, Advanced Internet of Thing, Cyber Security Research Project, Wireless Networking and Mobile Computing, Emerging Cyber Security Trends, Cloud Computing, and Advanced Computer Penetration and Defense.", "The courses focus on research methods, core cyber security foundations, network security programming, cryptography, information assurance, digital forensics, network technology and security, Internet of Things, research-project work, wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing and defence."], "retrieval_keywords": ["Master of Cyber Security", "advanced", "code", "computing", "core", "course", "course contents", "course themes", "course titles", "courses", "credits", "cyber", "list", "network", "research", "security"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_cyber_security", "postgraduate"], "source_text": "LIST OF COURSES &\nCONTENTS\nSe va’\nCORE COURSES\nCode Course Credits\nWOX7001 | Research Methodology\nWQE7001 | Cyber security\nWQE7002 | Advanced Network Security Programming\nWQE7003 | Cryptography and Information Hiding\n'WQE7004 | Information Assurance\nWQE7005 | Advanced Digital Forensics\nWQE7007 | Network Technology and Security\nWOC7020 | Advanced internet of Thing\nWQE7023_| Cyber Security Research Project\neeevenoe\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nWQE7008 | Wireless Networking and Mobile Computing 4\nWQE7009 | Emerging Cyber Security Trends 4\nWQE7010 | Cloud Computing 4\nWae7011_| Advanced Computer Penetration and Defense 4\nNote:\n* Students are only allowed to register for the WQE7023 Cyber Security Research Project after\n‘completing at least three (3) core discipline courses (Including WOX7001)\nNot all courses will be offered every semester; the actual courses offered will depend on the\navailability of staff and the number of students registering.\n+35.\ni? <", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nQuestion variants:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- Could you tell me what courses and course contents are listed for Master of Cyber Security?\n- Quick check: what courses and course contents are listed for Master of Cyber Security?\n- Could you tell me which course titles are listed for Master of Cyber Security?\n- Hey, which course titles are listed for Master of Cyber Security?\n- Could you tell me what subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nGrounded answer bank:\n- The listed core courses are WOX7001 Research Methodology, WQE7001 Cyber Security, WQE7002 Advanced Network Security Programming, WQE7003 Cryptography and Information Hiding, WQE7004 Information Assurance, WQE7005 Advanced Digital Forensics, WQE7007 Network Technology and Security, WOC7020 Advanced Internet of Thing, and WQE7023 Cyber Security Research Project. The electives are WQE7008 Wireless Networking and Mobile Computing, WQE7009 Emerging Cyber Security Trends, WQE7010 Cloud Computing, and WQE7011 Advanced Computer Penetration and Defense. The handbook notes that the Cyber Security Research Project may only be taken after completing at least three core discipline courses, including WOX7001.\n- The listed course titles are Research Methodology, Cyber Security, Advanced Network Security Programming, Cryptography and Information Hiding, Information Assurance, Advanced Digital Forensics, Network Technology and Security, Advanced Internet of Thing, Cyber Security Research Project, Wireless Networking and Mobile Computing, Emerging Cyber Security Trends, Cloud Computing, and Advanced Computer Penetration and Defense.\n- The courses focus on research methods, core cyber security foundations, network security programming, cryptography, information assurance, digital forensics, network technology and security, Internet of Things, research-project work, wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing and defence.\n\nSource chunk text:\nLIST OF COURSES &\nCONTENTS\nSe va’\nCORE COURSES\nCode Course Credits\nWOX7001 | Research Methodology\nWQE7001 | Cyber security\nWQE7002 | Advanced Network Security Programming\nWQE7003 | Cryptography and Information Hiding\n'WQE7004 | Information Assurance\nWQE7005 | Advanced Digital Forensics\nWQE7007 | Network Technology and Security\nWOC7020 | Advanced internet of Thing\nWQE7023_| Cyber Security Research Project\neeevenoe\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nWQE7008 | Wireless Networking and Mobile Computing 4\nWQE7009 | Emerging Cyber Security Trends 4\nWQE7010 | Cloud Computing 4\nWae7011_| Advanced Computer Penetration and Defense 4\nNote:\n* Students are only allowed to register for the WQE7023 Cyber Security Research Project after\n‘completing at least three (3) core discipline courses (Including WOX7001)\nNot all courses will be offered every semester; the actual courses offered will depend on the\navailability of staff and the number of students registering.\n+35.\ni? <\n\nKeywords: Master of Cyber Security, advanced, code, computing, core, course, course contents, course themes, course titles, courses, credits, cyber, list, network, research, security"}
+{"kb_id": "RAGKB-0462", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00462", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 2", "pages": [92], "chunk_index": 2, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": ["What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "matched_qa_ids": ["qa_000241"], "grounded_answer_bank": ["The courses focus on research methods, core cyber security foundations, network security programming, cryptography, information assurance, digital forensics, network technology and security, Internet of Things, research-project work, wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing and defence."], "retrieval_keywords": ["Master of Cyber Security", "able", "analysis", "answering", "approach", "appropriate", "areas", "course", "course contents", "course themes", "learning", "outcomes", "plan", "questions", "research"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_cyber_security", "postgraduate"], "source_text": "‘WOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives on overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nA\nEvaluation and Weightage\nContinuous Assessment\nFinal Examination\nWQE7001 Cyber Security\nCourse Learning Outcomes", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nQuestion variants:\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nGrounded answer bank:\n- The courses focus on research methods, core cyber security foundations, network security programming, cryptography, information assurance, digital forensics, network technology and security, Internet of Things, research-project work, wireless/mobile computing, emerging cyber security trends, cloud computing, and penetration testing and defence.\n\nSource chunk text:\n‘WOX7001 Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nSynopsis of Course Content\nThis course gives on overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nA\nEvaluation and Weightage\nContinuous Assessment\nFinal Examination\nWQE7001 Cyber Security\nCourse Learning Outcomes\n\nKeywords: Master of Cyber Security, able, analysis, answering, approach, appropriate, areas, course, course contents, course themes, learning, outcomes, plan, questions, research"}
+{"kb_id": "RAGKB-0463", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00463", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 3", "pages": [92], "chunk_index": 3, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "analyse", "course", "cybersecurity", "detect", "end", "knowledge", "monitor", "network", "security", "skills"], "retrieval_tags": [], "source_text": "At the end of this course, students are able to:\n1. Understand cybersecurity operations, network principles, roles, and responsibilities as well as the\nrelated technologies, tools, regulations, and frameworks available.\n2. Integrate network monitoring tools to identify attacks against network protocols and services.\n3. Apply knowledge and skills to monitor, detect, investigate, analyse, and respond to security\nincidents.\nSynopsis of Course Content\nThis course introduces the core security concepts and skills needed to monitor, detect, analyse, and\nrespond to cybercrime, cyberespionage, insider threats, advanced persistent threats, regulatory\nrequirements, and other cybersecurity issues facing organizations. It includes skills needed to practice\ncybersecurity operations knowledge in a controlled environment.\nEvaluation and Weightage\nContinuous Assessment 170%\nX Final Examination 30%\nwe “a\nva\nve WQE7002 Advanced Network Security Programming\nCourse Learning Outcomes\nAt the end of the course, students are able to:", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nAt the end of this course, students are able to:\n1. Understand cybersecurity operations, network principles, roles, and responsibilities as well as the\nrelated technologies, tools, regulations, and frameworks available.\n2. Integrate network monitoring tools to identify attacks against network protocols and services.\n3. Apply knowledge and skills to monitor, detect, investigate, analyse, and respond to security\nincidents.\nSynopsis of Course Content\nThis course introduces the core security concepts and skills needed to monitor, detect, analyse, and\nrespond to cybercrime, cyberespionage, insider threats, advanced persistent threats, regulatory\nrequirements, and other cybersecurity issues facing organizations. It includes skills needed to practice\ncybersecurity operations knowledge in a controlled environment.\nEvaluation and Weightage\nContinuous Assessment 170%\nX Final Examination 30%\nwe “a\nva\nve WQE7002 Advanced Network Security Programming\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n\nKeywords: able, advanced, analyse, course, cybersecurity, detect, end, knowledge, monitor, network, security, skills"}
+{"kb_id": "RAGKB-0464", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00464", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 4", "pages": [92], "chunk_index": 4, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["against", "can", "cyber", "cyber-attacks", "defence", "determine", "develop", "exposure", "methods", "mitigate", "network", "security"], "retrieval_tags": [], "source_text": "1. Determine the network security methods that can defence against cyber-attacks.\n2. Develop a secure network solution to mitigate the cyber threat.\nAd Y 3. Synthesize ne’twork in terms of the exposure to potential threats, vulnerability and security.\nr\nA\nVv", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n1. Determine the network security methods that can defence against cyber-attacks.\n2. Develop a secure network solution to mitigate the cyber threat.\nAd Y 3. Synthesize ne’twork in terms of the exposure to potential threats, vulnerability and security.\nr\nA\nVv\n\nKeywords: against, can, cyber, cyber-attacks, defence, determine, develop, exposure, methods, mitigate, network, security"}
+{"kb_id": "RAGKB-0465", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00465", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 5", "pages": [93], "chunk_index": 5, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "against", "algorithms", "also", "analyse", "content", "course", "cryptographic", "cryptography", "hiding", "network", "synopsis"], "retrieval_tags": [], "source_text": "Synopsis of Course Content\nThis course covers the networking and security challenges and the use of programming to defence\nagainst cyber-attacks and cyber threats. These include the procedures of network connection and\nendpoint protection. You will also learn how to assess a network's vulnerabilities and develop a secure r\nnetwork solution with the help of Python scripting. Vv\nEvaluation and Weightage ~~’\nContinuous Assessment —: 60%\nFinal Examination 240% J\nWQE7003 Cryptography and Information Hiding j\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the principles and mechanism used in cryptography and information hiding\n2. Analyse the cryptographic and information hiding algorithms for their strengths and weaknesses.\n3. Evaluate the practical applications of cryptographic and information hiding mechanisms.\n‘Synopsis of Course Content\nThis course consists of developing an understanding of cryptography, cryptanalysis, Symmetric and\nAsymmetric cryptographic algorithms (classic and modern algorithms), Introduction to Number Theory,", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nSynopsis of Course Content\nThis course covers the networking and security challenges and the use of programming to defence\nagainst cyber-attacks and cyber threats. These include the procedures of network connection and\nendpoint protection. You will also learn how to assess a network's vulnerabilities and develop a secure r\nnetwork solution with the help of Python scripting. Vv\nEvaluation and Weightage ~~’\nContinuous Assessment —: 60%\nFinal Examination 240% J\nWQE7003 Cryptography and Information Hiding j\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Explain the principles and mechanism used in cryptography and information hiding\n2. Analyse the cryptographic and information hiding algorithms for their strengths and weaknesses.\n3. Evaluate the practical applications of cryptographic and information hiding mechanisms.\n‘Synopsis of Course Content\nThis course consists of developing an understanding of cryptography, cryptanalysis, Symmetric and\nAsymmetric cryptographic algorithms (classic and modern algorithms), Introduction to Number Theory,\n\nKeywords: able, against, algorithms, also, analyse, content, course, cryptographic, cryptography, hiding, network, synopsis"}
+{"kb_id": "RAGKB-0466", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00466", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 6", "pages": [93], "chunk_index": 6, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "accordance", "assurance", "challenges", "course", "hiding", "people", "security", "solutions", "steganography", "triad", "watermarking"], "retrieval_tags": [], "source_text": "Hash Functions, Message Authentication and Digital Signatures. This course also introduces the\nconcepts and techniques used in information hiding which focuses mainly on watermarking and\nsteganography. Topics includes spatial and transform domain embedding, media specific information\nhiding and attacks on watermarking and steganography.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\nWQE7004 Information Assurance\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Analyze the challenges and solutions in Information Assurance involving the triad of people,\nprocesses and technologies.\n2. Evaluate security solutions to meet security needs for a meaningful society in accordance with the\nprinciples in information security.\n3. Ideate security solutions based on current challenges and issues in the topic of information\nsecurity.\nSynopsis of Course Content\nThis course covers and provides a practical view of security that involved the triad of people, policies", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nHash Functions, Message Authentication and Digital Signatures. This course also introduces the\nconcepts and techniques used in information hiding which focuses mainly on watermarking and\nsteganography. Topics includes spatial and transform domain embedding, media specific information\nhiding and attacks on watermarking and steganography.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\nWQE7004 Information Assurance\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Analyze the challenges and solutions in Information Assurance involving the triad of people,\nprocesses and technologies.\n2. Evaluate security solutions to meet security needs for a meaningful society in accordance with the\nprinciples in information security.\n3. Ideate security solutions based on current challenges and issues in the topic of information\nsecurity.\nSynopsis of Course Content\nThis course covers and provides a practical view of security that involved the triad of people, policies\n\nKeywords: able, accordance, assurance, challenges, course, hiding, people, security, solutions, steganography, triad, watermarking"}
+{"kb_id": "RAGKB-0467", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00467", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 7", "pages": [93], "chunk_index": 7, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["application", "assurance", "concepts", "detection", "include", "industries", "mitigation", "planning", "policy", "procedures", "process", "recovery"], "retrieval_tags": [], "source_text": "and procedures and technology, which include: Information Assurance strategy, policy, concepts,\nInformation Assurance planning, risk mitigation, Information Assurance detection and recovery\nprocess and application of Information Assurance in selected industries,", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nand procedures and technology, which include: Information Assurance strategy, policy, concepts,\nInformation Assurance planning, risk mitigation, Information Assurance detection and recovery\nprocess and application of Information Assurance in selected industries,\n\nKeywords: application, assurance, concepts, detection, include, industries, mitigation, planning, policy, procedures, process, recovery"}
+{"kb_id": "RAGKB-0468", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00468", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 8", "pages": [94], "chunk_index": 8, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["concept", "course", "digital", "evidence", "forensic", "forensics", "have", "laws", "presentation", "relationship", "significant", "will"], "retrieval_tags": [], "source_text": "+35.\ni? <\nEvaluation and Weightage\nContinuous Assessment 560%\nFinal Examination 40%\nWQE7005 Advance Digital Forensics\nCourse Learning Outcomes\nAt the end of the course, the students are able to: ~”~\n1, Demonstrate the processes, methodologies, laws and regulations that have a significant \"A\nrelationship with the digital forensic domain.\n2. Plan all stages of digital evidence procedures (e.g., collection, recovery, preservation,\nidentification, analysis and presentation).\n3. Relate the concept of digital forensics, anti-forensics, network and mobile forensics Find frequent\nitem sets using FP-growth.\nSynopsis of Course Content\nThe student will leam and understand the concept of digital forensics, computer crimes and criminals,\nacts and laws that have a significant relationship with digital forensic studies; international and local.\nStudents will learn the process of collecting, preserving, recovering and analysing digital evidence. In\norder to present them in a proper presentation for non-Information Technology practitioners, students", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n+35.\ni? <\nEvaluation and Weightage\nContinuous Assessment 560%\nFinal Examination 40%\nWQE7005 Advance Digital Forensics\nCourse Learning Outcomes\nAt the end of the course, the students are able to: ~”~\n1, Demonstrate the processes, methodologies, laws and regulations that have a significant \"A\nrelationship with the digital forensic domain.\n2. Plan all stages of digital evidence procedures (e.g., collection, recovery, preservation,\nidentification, analysis and presentation).\n3. Relate the concept of digital forensics, anti-forensics, network and mobile forensics Find frequent\nitem sets using FP-growth.\nSynopsis of Course Content\nThe student will leam and understand the concept of digital forensics, computer crimes and criminals,\nacts and laws that have a significant relationship with digital forensic studies; international and local.\nStudents will learn the process of collecting, preserving, recovering and analysing digital evidence. In\norder to present them in a proper presentation for non-Information Technology practitioners, students\n\nKeywords: concept, course, digital, evidence, forensic, forensics, have, laws, presentation, relationship, significant, will"}
+{"kb_id": "RAGKB-0469", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00469", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 9", "pages": [94], "chunk_index": 9, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["assessment", "continuous", "course", "digital", "evaluation", "examination", "final", "implementation", "network", "routing", "security", "will"], "retrieval_tags": [], "source_text": "will practice the procedure of presenting digital evidence and building a cybercrime case. They also\nwill learn the digital forensic methodologies, anti-forensics and network forensics as well as mobile\nforensics.\nEvaluation and Weightage\nContinuous Assessment 750%\nFinal Examination 150%\nWQE7007 Network Technology and Security\nCourse Learning Outcomes\nAt the end of the course, students are able to’\n1. Identify the basic technologies that support the implementation of high-speed networks.\n2. Plan, configure, verify and integrate the implementation of various LAN and WAN routing\nprotocols, and security\n3. Identify and solve the issues in the implementation of network and security aspects\nSynopsis of Course Content\nThe course will provide knowledge and practical view of network technology. It includes technologies\nand advanced issues in IPv4 and IPv6, routing protocols, router, switches, network monitoring,\nhigh-speed networks and security in devices and routing,\nEvaluation and Weightage\nContinuous Assessment: 70%\nFinal Examination 230%", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nwill practice the procedure of presenting digital evidence and building a cybercrime case. They also\nwill learn the digital forensic methodologies, anti-forensics and network forensics as well as mobile\nforensics.\nEvaluation and Weightage\nContinuous Assessment 750%\nFinal Examination 150%\nWQE7007 Network Technology and Security\nCourse Learning Outcomes\nAt the end of the course, students are able to’\n1. Identify the basic technologies that support the implementation of high-speed networks.\n2. Plan, configure, verify and integrate the implementation of various LAN and WAN routing\nprotocols, and security\n3. Identify and solve the issues in the implementation of network and security aspects\nSynopsis of Course Content\nThe course will provide knowledge and practical view of network technology. It includes technologies\nand advanced issues in IPv4 and IPv6, routing protocols, router, switches, network monitoring,\nhigh-speed networks and security in devices and routing,\nEvaluation and Weightage\nContinuous Assessment: 70%\nFinal Examination 230%\n\nKeywords: assessment, continuous, course, digital, evaluation, examination, final, implementation, network, routing, security, will"}
+{"kb_id": "RAGKB-0470", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00470", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 10", "pages": [95], "chunk_index": 10, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "communications", "computing", "course", "emerging", "end", "learning", "mobile", "networks", "outcomes", "related", "wireless"], "retrieval_tags": [], "source_text": "+35.\ni? <\nWE 7008 Wireless Networking and Mobile Computing\nCourse Learning Outcomes\nAt the end of this course, students are able to\n1. Explain the architecture and key technologies of Wireless Networks and Mobile Computing.\n2. Identify the challenges in the implementation of Wireless Networks and Mobile Computing\n3. Solve problems related to Wireless Networks and Mobile Computing communications.\nSynopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to Wireless Networks\nand Mobile Computing. This course will examine several aspects of Wireless Networks and Mobile\nComputing such as application areas related to Wireless Networks technologies, wireless network Wm\n‘components and application-level in Wireless Networks and Mobile Computing. This course also\nemphasises on solving problems related to Wireless Networks and Mobile Computing A\ncommunications.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\nWQE7009 Emerging Cyber Security Trends\nCourse Learning Outcomes\nAt the end of this course, students are able to:", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n+35.\ni? <\nWE 7008 Wireless Networking and Mobile Computing\nCourse Learning Outcomes\nAt the end of this course, students are able to\n1. Explain the architecture and key technologies of Wireless Networks and Mobile Computing.\n2. Identify the challenges in the implementation of Wireless Networks and Mobile Computing\n3. Solve problems related to Wireless Networks and Mobile Computing communications.\nSynopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to Wireless Networks\nand Mobile Computing. This course will examine several aspects of Wireless Networks and Mobile\nComputing such as application areas related to Wireless Networks technologies, wireless network Wm\n‘components and application-level in Wireless Networks and Mobile Computing. This course also\nemphasises on solving problems related to Wireless Networks and Mobile Computing A\ncommunications.\nEvaluation and Weightage\nContinuous Assessment: 50%\nFinal Examination : 50%\nWQE7009 Emerging Cyber Security Trends\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n\nKeywords: able, communications, computing, course, emerging, end, learning, mobile, networks, outcomes, related, wireless"}
+{"kb_id": "RAGKB-0471", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00471", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 11", "pages": [95], "chunk_index": 11, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analyse", "analysing", "approaches", "attacks", "cloud", "computing", "course", "covers", "cyber-attacks", "emerging", "issues", "threats"], "retrieval_tags": [], "source_text": "1. Identify the emerging trends in cybersecurity issues, attacks, threats and risks,\n2. Analyse the emerging approaches in mitigating and defending networks from the cyber-attacks,\n3. Apply the suitable approaches in analysing and synthesizing the emerging cyber-attacks and\nthreats.\nSynopsis of Course Content\nThis course covers the understanding of the emerging issues, attacks, threats and risk in cyber\nsecurity. The topic is not limited to the existing issues, but also covers the possible issues in the near\nfuture. This include to analyse and understand how the latest technologies can be used to mitigate\nand defense the network from the cyber-attacks. This course extends the coverage by applying the\nsuitable approaches in analysing and synthesizing the latest cyber-attacks and threats.\nEvaluation and Weightage\nContinuous Assessment 160%\nFinal Examination 240%\nWQE7010 Cloud Computing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Recognize the architecture and various basic concepts related to cloud computing technologies.", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n1. Identify the emerging trends in cybersecurity issues, attacks, threats and risks,\n2. Analyse the emerging approaches in mitigating and defending networks from the cyber-attacks,\n3. Apply the suitable approaches in analysing and synthesizing the emerging cyber-attacks and\nthreats.\nSynopsis of Course Content\nThis course covers the understanding of the emerging issues, attacks, threats and risk in cyber\nsecurity. The topic is not limited to the existing issues, but also covers the possible issues in the near\nfuture. This include to analyse and understand how the latest technologies can be used to mitigate\nand defense the network from the cyber-attacks. This course extends the coverage by applying the\nsuitable approaches in analysing and synthesizing the latest cyber-attacks and threats.\nEvaluation and Weightage\nContinuous Assessment 160%\nFinal Examination 240%\nWQE7010 Cloud Computing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Recognize the architecture and various basic concepts related to cloud computing technologies.\n\nKeywords: analyse, analysing, approaches, attacks, cloud, computing, course, covers, cyber-attacks, emerging, issues, threats"}
+{"kb_id": "RAGKB-0472", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00472", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 12", "pages": [95], "chunk_index": 12, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["access", "also", "architecture", "basic", "cloud", "computing", "course", "data", "management", "storage", "such", "virtualization"], "retrieval_tags": [], "source_text": "2. Demonstrate cloud virtualization, cloud storage, data management and data visualization.\n3. Design cloud computing security using access control strategies.\nSynopsis of Course Content\nThis course covers topics and technologies related to cloud computing various basic concepts and\narchitecture models (such as laaS, PaaS, SaaS). It also discusses the important features of cloud\ncomputing such as cloud virtualization, cloud storage, clustering, data management and data\nOm", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n2. Demonstrate cloud virtualization, cloud storage, data management and data visualization.\n3. Design cloud computing security using access control strategies.\nSynopsis of Course Content\nThis course covers topics and technologies related to cloud computing various basic concepts and\narchitecture models (such as laaS, PaaS, SaaS). It also discusses the important features of cloud\ncomputing such as cloud virtualization, cloud storage, clustering, data management and data\nOm\n\nKeywords: access, also, architecture, basic, cloud, computing, course, data, management, storage, such, virtualization"}
+{"kb_id": "RAGKB-0473", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00473", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 13", "pages": [96], "chunk_index": 13, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "access", "advanced", "assessment", "concepts", "continuous", "course", "defend", "end", "hack", "systems", "techniques"], "retrieval_tags": [], "source_text": "visualization. The theoretical knowledge and practical sessions will be applied to design cloud\n‘computing security using access control strategies.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 240%\nWQE7011 Advanced Computer Penetration and Defense\nCourse Learning Outcomes ~”~\nAt the end of this course, the students are able to: A\n1. Identify the principles and techniques to hack and defend computer systems.\n2. Apply the concepts and techniques to hack and defend computer systems.\n3. Analyze the weaknesses in computer systems and their countermeasures.\nSynopsis of Course Content\nThis course introduces the concepts and techniques used to hack and defend computer systems with\na focus on ethical hacking. The contents of this course cover aspects of hacking such as network\nscanning, exploitation of vulnerabilities, gaining access to systems, and penetration testing.\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 30%\nwoc7020 Advanced Internet of Things\nCourse Learning Outcomes\nAt the end of this course, students are able to:", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nvisualization. The theoretical knowledge and practical sessions will be applied to design cloud\n‘computing security using access control strategies.\nEvaluation and Weightage\nContinuous Assessment 60%\nFinal Examination 240%\nWQE7011 Advanced Computer Penetration and Defense\nCourse Learning Outcomes ~”~\nAt the end of this course, the students are able to: A\n1. Identify the principles and techniques to hack and defend computer systems.\n2. Apply the concepts and techniques to hack and defend computer systems.\n3. Analyze the weaknesses in computer systems and their countermeasures.\nSynopsis of Course Content\nThis course introduces the concepts and techniques used to hack and defend computer systems with\na focus on ethical hacking. The contents of this course cover aspects of hacking such as network\nscanning, exploitation of vulnerabilities, gaining access to systems, and penetration testing.\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 30%\nwoc7020 Advanced Internet of Things\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n\nKeywords: able, access, advanced, assessment, concepts, continuous, course, defend, end, hack, systems, techniques"}
+{"kb_id": "RAGKB-0474", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00474", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 14", "pages": [96], "chunk_index": 14, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["communications", "components", "course", "cyber", "internet", "problems", "project", "related", "security", "solve", "technologies", "things"], "retrieval_tags": [], "source_text": "1. Explain the architecture and key technologies of internet of things.\n2. Identify the challenges in the implementation of internet of things.\n3. Solve problems related to internet of things in wireless communications.\nSynopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to internet of things. This\ncourse will examine several aspects of internet of things such as application areas related to internet\nof things technologies, real-time models, local sensors, network components and application-level\ncomponents. This course also emphasises on solving problems related to wireless communications in\ndeveloping and deploying internet of things.\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination 250%\nWQE7023 Cyber Security Research Project\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply cyber security techniques to solve cyber security problems in real world environment\n2. Present the project plan and results professionally\n3. Write a project report", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\n1. Explain the architecture and key technologies of internet of things.\n2. Identify the challenges in the implementation of internet of things.\n3. Solve problems related to internet of things in wireless communications.\nSynopsis of Course Content\nThis course is designed to introduce to students the emerging issues related to internet of things. This\ncourse will examine several aspects of internet of things such as application areas related to internet\nof things technologies, real-time models, local sensors, network components and application-level\ncomponents. This course also emphasises on solving problems related to wireless communications in\ndeveloping and deploying internet of things.\nEvaluation and Weightage\nContinuous Assessment 50%\nFinal Examination 250%\nWQE7023 Cyber Security Research Project\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply cyber security techniques to solve cyber security problems in real world environment\n2. Present the project plan and results professionally\n3. Write a project report\n\nKeywords: communications, components, course, cyber, internet, problems, project, related, security, solve, technologies, things"}
+{"kb_id": "RAGKB-0475", "knowledge_group_id": "KG-0044", "source_chunk_id": "SC-00475", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Cyber Security", "subsection": "List of Courses and Contents", "title": "Master of Cyber Security - List of Courses and Contents - chunk 15", "pages": [97], "chunk_index": 15, "group_size_chunks": 15, "group_size_qas": 8, "linked_index_ids": ["UMI-0037", "UMI-0240", "UMI-0241"], "group_canonical_questions": ["What courses and course contents are listed for Master of Cyber Security?", "Which course titles are listed for Master of Cyber Security?", "What subject areas or themes are covered by the listed courses in Master of Cyber Security?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affordable", "applying", "course", "cyber", "data", "methods", "problems", "project", "related", "research", "scientific", "security"], "retrieval_tags": [], "source_text": "Synopsis of Course Content\nA research project is a medium-scale project to enable students to do research related to cyber\nsecurity. Research projects allow students to use public data or create applications by applying\nknowledge in the basics, theories and scientific methods to solve problems related to cyber security.\nDuring the project, students will engage in the overall process of general research, starting with\nidentifying problems, collecting and processing data, recommending solution methods, applying\nappropriate scientific methods and ending with implementing affordable solutions and evaluations.\nEvaluation and Weightage\nContinuous Assessment:100 %\nFinal Examination: 0%\nCourse Prerequisite: WOX7001", "retrieval_text": "Title: Master of Cyber Security - List of Courses and Contents - chunk 15\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Cyber Security\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Cyber Security?\n- Which course titles are listed for Master of Cyber Security?\n- What subject areas or themes are covered by the listed courses in Master of Cyber Security?\n\nSource chunk text:\nSynopsis of Course Content\nA research project is a medium-scale project to enable students to do research related to cyber\nsecurity. Research projects allow students to use public data or create applications by applying\nknowledge in the basics, theories and scientific methods to solve problems related to cyber security.\nDuring the project, students will engage in the overall process of general research, starting with\nidentifying problems, collecting and processing data, recommending solution methods, applying\nappropriate scientific methods and ending with implementing affordable solutions and evaluations.\nEvaluation and Weightage\nContinuous Assessment:100 %\nFinal Examination: 0%\nCourse Prerequisite: WOX7001\n\nKeywords: affordable, applying, course, cyber, data, methods, problems, project, related, research, scientific, security"}
+{"kb_id": "RAGKB-0476", "knowledge_group_id": "KG-0030", "source_chunk_id": "SC-00476", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Requirements", "title": "Master of Artificial Intelligence - Programme Requirements - chunk 1", "pages": [99], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0038", "UMI-0242", "UMI-0243"], "group_canonical_questions": ["What are the programme requirements for Master of Artificial Intelligence?", "What admission background or entry qualifications are described for Master of Artificial Intelligence?", "What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?"], "chunk_question_variants": ["What admission background or entry qualifications are described for Master of Artificial Intelligence?", "Could you tell me what admission background or entry qualifications are described for Master of Artificial Intelligence?", "Low-key, what admission background or entry qualifications are described for Master of Artificial Intelligence?"], "matched_qa_ids": ["qa_000242", "qa_000783", "qa_000784"], "grounded_answer_bank": ["The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria."], "retrieval_keywords": ["Master of Artificial Intelligence", "admission", "bachelor's", "cgpa", "degree", "entry qualifications", "field", "fields", "general", "has", "least", "one", "possess", "related", "requirements"], "retrieval_tags": ["master_of_artificial_intelligence", "postgraduate", "programme_requirements"], "source_text": "2,\n(J\nPROGRAMME REQUIREMENTS\nThe type of programme offered for the Master of Artiféfal inteligence is a programme consisting\nof 10 courseworks that prepares students for the final capstone project which allows students\nto apply the knowledge they learned in the taught courses to real-world applications\nAdmission\nUniversity’s General Requirement Met the University's General Requirement\nBachelor’s Degree Qualification Possess a Bachelor's Degree (Honours)\nEquivalent Qualification -\nRelated Field Computer Sciences or Information\nTechnology field\nSpecial Requirements ;\nUniversity's General Entry Requirements:\nPossess a Bachelor's Degree with a CGPA of 3.00/4.00.\nOR\nPossess a Bachelor's Degree with a CGPA of 2.50 - 2.99 and;\nThe applicant must fulfil at least one (1) of the following criteria:\nUniversiti Malaya graduate or;\nHas at least one (1) year of work experience in related fields or;\n‘¢ Has produced publications in related fields or;\nA scholarship recipient or;\nA staff member of a government agency or;\n«Pass an interview conducted by the Faculty or;", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Artificial Intelligence?\n- What admission background or entry qualifications are described for Master of Artificial Intelligence?\n- What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?\n\nQuestion variants:\n- What admission background or entry qualifications are described for Master of Artificial Intelligence?\n- Could you tell me what admission background or entry qualifications are described for Master of Artificial Intelligence?\n- Low-key, what admission background or entry qualifications are described for Master of Artificial Intelligence?\n\nGrounded answer bank:\n- The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.\n\nSource chunk text:\n2,\n(J\nPROGRAMME REQUIREMENTS\nThe type of programme offered for the Master of Artiféfal inteligence is a programme consisting\nof 10 courseworks that prepares students for the final capstone project which allows students\nto apply the knowledge they learned in the taught courses to real-world applications\nAdmission\nUniversity’s General Requirement Met the University's General Requirement\nBachelor’s Degree Qualification Possess a Bachelor's Degree (Honours)\nEquivalent Qualification -\nRelated Field Computer Sciences or Information\nTechnology field\nSpecial Requirements ;\nUniversity's General Entry Requirements:\nPossess a Bachelor's Degree with a CGPA of 3.00/4.00.\nOR\nPossess a Bachelor's Degree with a CGPA of 2.50 - 2.99 and;\nThe applicant must fulfil at least one (1) of the following criteria:\nUniversiti Malaya graduate or;\nHas at least one (1) year of work experience in related fields or;\n‘¢ Has produced publications in related fields or;\nA scholarship recipient or;\nA staff member of a government agency or;\n«Pass an interview conducted by the Faculty or;\n\nKeywords: Master of Artificial Intelligence, admission, bachelor's, cgpa, degree, entry qualifications, field, fields, general, has, least, one, possess, related, requirements"}
+{"kb_id": "RAGKB-0477", "knowledge_group_id": "KG-0030", "source_chunk_id": "SC-00477", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Requirements", "title": "Master of Artificial Intelligence - Programme Requirements - chunk 2", "pages": [99], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0038", "UMI-0242", "UMI-0243"], "group_canonical_questions": ["What are the programme requirements for Master of Artificial Intelligence?", "What admission background or entry qualifications are described for Master of Artificial Intelligence?", "What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["academic", "advanced", "b40", "center-based", "competenc", "duration", "eight", "english", "semesters", "special", "study", "toefl"], "retrieval_tags": [], "source_text": "Pass a special evaluation by the Faculty.\nEnglish Lanquage Competenc irements\nMUET B40\nIELTS 60\nTOEFL iBT (Center-based) 60\nTOEFL Essential (Online) 85\nPearson Test of English (PTE) Academic\nB1 Preliminary, B2 First, C1 Advanced, C2 Proficiency\nDuration of Study\nThe programme of study: two (2) semesters + one (1) special semester, to eight (8) semesters,\nOm", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Artificial Intelligence?\n- What admission background or entry qualifications are described for Master of Artificial Intelligence?\n- What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?\n\nSource chunk text:\nPass a special evaluation by the Faculty.\nEnglish Lanquage Competenc irements\nMUET B40\nIELTS 60\nTOEFL iBT (Center-based) 60\nTOEFL Essential (Online) 85\nPearson Test of English (PTE) Academic\nB1 Preliminary, B2 First, C1 Advanced, C2 Proficiency\nDuration of Study\nThe programme of study: two (2) semesters + one (1) special semester, to eight (8) semesters,\nOm\n\nKeywords: academic, advanced, b40, center-based, competenc, duration, eight, english, semesters, special, study, toefl"}
+{"kb_id": "RAGKB-0478", "knowledge_group_id": "KG-0030", "source_chunk_id": "SC-00478", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Requirements", "title": "Master of Artificial Intelligence - Programme Requirements - chunk 3", "pages": [100], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0038", "UMI-0242", "UMI-0243"], "group_canonical_questions": ["What are the programme requirements for Master of Artificial Intelligence?", "What admission background or entry qualifications are described for Master of Artificial Intelligence?", "What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?"], "chunk_question_variants": ["What are the programme requirements for Master of Artificial Intelligence?", "What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?", "Could you list the programme requirements for Master of Artificial Intelligence?", "Real quick, what are the programme requirements for Master of Artificial Intelligence?", "Could you tell me what study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?"], "matched_qa_ids": ["qa_000038", "qa_000243", "qa_000470", "qa_000471", "qa_000785"], "grounded_answer_bank": ["The Master of Artificial Intelligence is a 42-credit coursework programme. According to the programme structure, Part I contains eight core discipline courses made up of 3- and 4-credit subjects plus two 3-credit electives, while Part II is a 10-credit project involving investigation and analysis of a real-world case study leading to a report. The handbook also states that the faculty may impose additional courses where necessary and that the final list of Senate-approved courses is shown in the programme list."], "retrieval_keywords": ["Master of Artificial Intelligence", "artificial", "candidates", "courses", "coursework", "credit structure", "credits", "each", "format", "intelligence", "list", "master", "part", "programme requirements", "shall", "study mode", "two"], "retrieval_tags": ["master_of_artificial_intelligence", "postgraduate", "programme_requirements"], "source_text": "Programme Structure\nSs\nThe Master of Artificial Intelligence Programme through coursework shall have a total of forty-\ntwo (42) credits,\n(1)\n(2)\n(3)\nThrough Coursework\n(i) The programme shalll consist of two parts:\n(2) Part | comprises:\n() Eight (8) core discipline courses, comprised of three or four credits\ncourses; and\n(ii) two (2) elective courses, each three credits\n(b) Candidates may be imposed to enrol in other courses and obtain\nsatisfactory results deemed necessary by the Faculty.\n(©) Part II consists of a ten (10) credit project and shall involve the\ninvestigation and analysis of a real-world case study, leading to the\nsubmission of a report.\nDetails of courses offered shall be of those approved by the Senate from time to time\non the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\nThe list of Senate-approved courses for the Master of Artificial Intelligence Programme\nshall be as indicated in List 1.\nC\nSs\n(\\", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Requirements - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Artificial Intelligence?\n- What admission background or entry qualifications are described for Master of Artificial Intelligence?\n- What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?\n\nQuestion variants:\n- What are the programme requirements for Master of Artificial Intelligence?\n- What study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?\n- Could you list the programme requirements for Master of Artificial Intelligence?\n- Real quick, what are the programme requirements for Master of Artificial Intelligence?\n- Could you tell me what study mode, credit structure, or programme format is indicated for Master of Artificial Intelligence?\n\nGrounded answer bank:\n- The Master of Artificial Intelligence is a 42-credit coursework programme. According to the programme structure, Part I contains eight core discipline courses made up of 3- and 4-credit subjects plus two 3-credit electives, while Part II is a 10-credit project involving investigation and analysis of a real-world case study leading to a report. The handbook also states that the faculty may impose additional courses where necessary and that the final list of Senate-approved courses is shown in the programme list.\n\nSource chunk text:\nProgramme Structure\nSs\nThe Master of Artificial Intelligence Programme through coursework shall have a total of forty-\ntwo (42) credits,\n(1)\n(2)\n(3)\nThrough Coursework\n(i) The programme shalll consist of two parts:\n(2) Part | comprises:\n() Eight (8) core discipline courses, comprised of three or four credits\ncourses; and\n(ii) two (2) elective courses, each three credits\n(b) Candidates may be imposed to enrol in other courses and obtain\nsatisfactory results deemed necessary by the Faculty.\n(©) Part II consists of a ten (10) credit project and shall involve the\ninvestigation and analysis of a real-world case study, leading to the\nsubmission of a report.\nDetails of courses offered shall be of those approved by the Senate from time to time\non the recommendation of the Faculty and shall be made known to the candidates at\nthe start of each session.\nThe list of Senate-approved courses for the Master of Artificial Intelligence Programme\nshall be as indicated in List 1.\nC\nSs\n(\\\n\nKeywords: Master of Artificial Intelligence, artificial, candidates, courses, coursework, credit structure, credits, each, format, intelligence, list, master, part, programme requirements, shall, study mode, two"}
+{"kb_id": "RAGKB-0479", "knowledge_group_id": "KG-0029", "source_chunk_id": "SC-00479", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Objectives and Outcomes", "title": "Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 1", "pages": [101], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0039", "UMI-0244", "UMI-0245"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?", "Could you list the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "Hey, what are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "Could you tell me what graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "BTW, what graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "Could you tell me what learning or programme outcome themes are emphasized for Master of Artificial Intelligence?"], "matched_qa_ids": ["qa_000039", "qa_000244", "qa_000245", "qa_000472", "qa_000473", "qa_000786", "qa_000787", "qa_000788"], "grounded_answer_bank": ["The programme educational objectives focus on applying artificial intelligence techniques both theoretically and practically, contributing AI skills to sustainable development and societal well-being, and demonstrating professional attitudes and ethics in producing science and technology solutions. The learning outcomes emphasise mastery of AI knowledge, recommending innovative AI solutions, evaluating AI tools for usability and effectiveness, communicating and presenting technical materials, using tools and techniques to design and validate AI-related knowledge, leadership and teamwork, lifelong learning with an entrepreneurial mindset, and professional ethics in research and service.", "Prepare graduates who can demonstrate the ability to apply artificial intelligence techniques theoretically and practically in a variety of situations.", "The learning outcomes emphasise mastery of artificial intelligence knowledge, recommending innovative AI solutions, evaluating AI tools for usability and effectiveness, designing and validating AI-related solutions, communicating technical material clearly, demonstrating leadership and teamwork, sustaining lifelong learning with an entrepreneurial mindset, and upholding professional ethics."], "retrieval_keywords": ["Master of Artificial Intelligence", "artificial", "can", "demonstrate", "develop", "development", "graduate capabilities", "graduates", "innovative", "intelligence", "learning", "learning outcomes", "objectives", "outcomes", "solutions", "themes"], "retrieval_tags": ["master_of_artificial_intelligence", "postgraduate", "programme_objectives_and_outcomes"], "source_text": "PROGRAMME EDUCATION OBJECTIVES (PEO)\nThis programme will be able to\nPROGRAMME OBJECTIVES &\nOUTCOMES\noe\n_awae\nPrepare graduates who can demonstrate the ability to apply artificial intelligence techniques\ntheoretically and practically in a variety of situations.\nDevelop graduates who can contribute their skills in the practical development of atificial\nintelligence for the well-being of society and the development of sustainability.\nDevelop graduates who can demonstrate professional attitudes and ethics in producing science\nand technology solutions through innovative artificial intelligence.\nPROGRAMME LEARNING OUTCOMES (PLO)\nNo.\nProgramme Learning Outcomes PLOs Taxonomic\nCategory\nDemonstrate the mastery of knowledge and thorough\nunderstanding of technological and scientific principles inthe | | PLO1 kK\nfield of Artificial Inteligence.\nRecommend innovative solutions that are at the forefront of\ndevelopments in Artificial Intelligence. Pua ul\nEvaluate Artificial Intelligence solutions and tools in terms of\ntheir usability, efficiency and effectiveness. bined &", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?\n- Could you list the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- Hey, what are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- Could you tell me what graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- BTW, what graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- Could you tell me what learning or programme outcome themes are emphasized for Master of Artificial Intelligence?\n\nGrounded answer bank:\n- The programme educational objectives focus on applying artificial intelligence techniques both theoretically and practically, contributing AI skills to sustainable development and societal well-being, and demonstrating professional attitudes and ethics in producing science and technology solutions. The learning outcomes emphasise mastery of AI knowledge, recommending innovative AI solutions, evaluating AI tools for usability and effectiveness, communicating and presenting technical materials, using tools and techniques to design and validate AI-related knowledge, leadership and teamwork, lifelong learning with an entrepreneurial mindset, and professional ethics in research and service.\n- Prepare graduates who can demonstrate the ability to apply artificial intelligence techniques theoretically and practically in a variety of situations.\n- The learning outcomes emphasise mastery of artificial intelligence knowledge, recommending innovative AI solutions, evaluating AI tools for usability and effectiveness, designing and validating AI-related solutions, communicating technical material clearly, demonstrating leadership and teamwork, sustaining lifelong learning with an entrepreneurial mindset, and upholding professional ethics.\n\nSource chunk text:\nPROGRAMME EDUCATION OBJECTIVES (PEO)\nThis programme will be able to\nPROGRAMME OBJECTIVES &\nOUTCOMES\noe\n_awae\nPrepare graduates who can demonstrate the ability to apply artificial intelligence techniques\ntheoretically and practically in a variety of situations.\nDevelop graduates who can contribute their skills in the practical development of atificial\nintelligence for the well-being of society and the development of sustainability.\nDevelop graduates who can demonstrate professional attitudes and ethics in producing science\nand technology solutions through innovative artificial intelligence.\nPROGRAMME LEARNING OUTCOMES (PLO)\nNo.\nProgramme Learning Outcomes PLOs Taxonomic\nCategory\nDemonstrate the mastery of knowledge and thorough\nunderstanding of technological and scientific principles inthe | | PLO1 kK\nfield of Artificial Inteligence.\nRecommend innovative solutions that are at the forefront of\ndevelopments in Artificial Intelligence. Pua ul\nEvaluate Artificial Intelligence solutions and tools in terms of\ntheir usability, efficiency and effectiveness. bined &\n\nKeywords: Master of Artificial Intelligence, artificial, can, demonstrate, develop, development, graduate capabilities, graduates, innovative, intelligence, learning, learning outcomes, objectives, outcomes, solutions, themes"}
+{"kb_id": "RAGKB-0480", "knowledge_group_id": "KG-0029", "source_chunk_id": "SC-00480", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Objectives and Outcomes", "title": "Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 2", "pages": [101], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0039", "UMI-0244", "UMI-0245"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analyze", "apply", "artificial", "autonomy", "bios", "capabilities", "communicate", "conducting", "delivering", "intelligence", "knowledge", "services"], "retrieval_tags": [], "source_text": "‘Communicate and interact effectively within @ group and\nwith diverse stakeholders by publishing and presenting PLO4 PA\ntechnical materials in the fields of Artificial Intelligence.\n‘Apply various tools and techniques to design, analyze,\ninterpret and validate knowledge related to the field of PLOS P\nArtificial Intelligence.\nDemonstrate leadership, teamwork, autonomy and\nresponsibility in delivering services in Artificial PLOG PA\nIntelligence.\nExhibit capabilities to extend knowledge through Iife-\nlong learning with an entrepreneur's mindset in Artificial PLO? A\nIntelligence.\nUphold professional and ethical practices in conducting\nresearch and delivering services in Artificial intelligence. Bios: iB", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?\n\nSource chunk text:\n‘Communicate and interact effectively within @ group and\nwith diverse stakeholders by publishing and presenting PLO4 PA\ntechnical materials in the fields of Artificial Intelligence.\n‘Apply various tools and techniques to design, analyze,\ninterpret and validate knowledge related to the field of PLOS P\nArtificial Intelligence.\nDemonstrate leadership, teamwork, autonomy and\nresponsibility in delivering services in Artificial PLOG PA\nIntelligence.\nExhibit capabilities to extend knowledge through Iife-\nlong learning with an entrepreneur's mindset in Artificial PLO? A\nIntelligence.\nUphold professional and ethical practices in conducting\nresearch and delivering services in Artificial intelligence. Bios: iB\n\nKeywords: analyze, apply, artificial, autonomy, bios, capabilities, communicate, conducting, delivering, intelligence, knowledge, services"}
+{"kb_id": "RAGKB-0481", "knowledge_group_id": "KG-0029", "source_chunk_id": "SC-00481", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Programme Objectives and Outcomes", "title": "Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 3", "pages": [102], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 8, "linked_index_ids": ["UMI-0039", "UMI-0244", "UMI-0245"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?", "What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?", "What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["domain", "learning", "notes", "peo", "plo", "plo1", "plo2", "plo3", "plo4", "plos", "reference", "skills"], "retrieval_tags": [], "source_text": "MATRIX OF MAPPING PLO TO PEO\nPEO\neG PEO1 PEO2 PEO\nPLO1\nPLo2\nfe\nC\nPLO3\nPLO4\nPLOS\nPLOS\nPLOT\nPLos\nReference notes:\n‘The Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO Domain\nPLO1 — Knowledge\nPLO2 — Praotical Skis,\nPLO3 Social Skills and Responsibility\nPLO4 Values, Attitudes and Professionalism\nPLOS — Communication, Leadership and Team Skills\nPLO6 Problem Solving and Scientific Skills\nPLO7 Information Management and Life Long Learning Skills,\nPLOB8 — Managerial and Entrepreneurial Skills\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor\nfe\n(J", "retrieval_text": "Title: Master of Artificial Intelligence - Programme Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Programme Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Artificial Intelligence?\n- What graduate capabilities or professional strengths does Master of Artificial Intelligence aim to develop?\n- What learning or programme outcome themes are emphasized for Master of Artificial Intelligence?\n\nSource chunk text:\nMATRIX OF MAPPING PLO TO PEO\nPEO\neG PEO1 PEO2 PEO\nPLO1\nPLo2\nfe\nC\nPLO3\nPLO4\nPLOS\nPLOS\nPLOT\nPLos\nReference notes:\n‘The Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO Domain\nPLO1 — Knowledge\nPLO2 — Praotical Skis,\nPLO3 Social Skills and Responsibility\nPLO4 Values, Attitudes and Professionalism\nPLOS — Communication, Leadership and Team Skills\nPLO6 Problem Solving and Scientific Skills\nPLO7 Information Management and Life Long Learning Skills,\nPLOB8 — Managerial and Entrepreneurial Skills\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor\nfe\n(J\n\nKeywords: domain, learning, notes, peo, plo, plo1, plo2, plo3, plo4, plos, reference, skills"}
+{"kb_id": "RAGKB-0482", "knowledge_group_id": "KG-0027", "source_chunk_id": "SC-00482", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Course Plan", "title": "Master of Artificial Intelligence - Course Plan - chunk 1", "pages": [103], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0040", "UMI-0246", "UMI-0247"], "group_canonical_questions": ["What is the course plan for Master of Artificial Intelligence?", "How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?"], "chunk_question_variants": ["What is the course plan for Master of Artificial Intelligence?", "How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?", "Could you explain the course plan for Master of Artificial Intelligence?", "Just asking, what's the course plan for Master of Artificial Intelligence?", "Could you explain how is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?", "So basically, how is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?", "Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?"], "matched_qa_ids": ["qa_000040", "qa_000246", "qa_000247", "qa_000474", "qa_000475", "qa_000789", "qa_000790", "qa_000791"], "grounded_answer_bank": ["The course plan shows a coursework pathway built around eight core discipline courses, two electives, and a 10-credit Artificial Intelligence Research Project based on a real-world case study. The core taught subjects cover AI techniques, vision, language processing, intelligent computation, analytics and ethics, while the elective space lets students choose deeper applied topics such as deep learning, explainable AI, robotics, cognitive computing, and augmented reality."], "retrieval_keywords": ["Master of Artificial Intelligence", "advanced", "artificial", "core", "core courses", "course plan", "courses", "data", "inteligence", "intelligence", "learning", "project", "research", "semester", "semesters", "wox7001"], "retrieval_tags": ["course_plan", "master_of_artificial_intelligence", "postgraduate"], "source_text": "COURSE PLAN\n————-eo-—\nINTAKE SEMESTER | 2025/2026\nWwW\nSs\nResearch Project\nMASTER OF ARTIFICIAL credits | Semester! | Semester i\nINTELLIGENCE | 2026/2028 | 2028/2026\nCore Courses\nwox7001 | *Research Methodology 3 v y\nAdvanced J\nWOA7O1S | Nachine Learning 2 4\n‘Artificial Intelligence ;\nWOF7002 Techniques 3 N\nComputer Vision and i\nWAF7006 | Image Processing Lj is\nNatural Language j\nwar7007 | Paesing 4 y\nWOF7003 | intelligent Computation 4 v\nData Analyfios in ;\nWOF7004 | Artficial Intelligence Ld ¥\nData Privacy and\nWaF7005 } Artificial Intelligence 3 y\nEthios\nwar7o29 | Aftcial inteligence a 7 7\nElective Courses [Students are required to choose an’\n\\y two (2) courses from the list below]\nwar7008 | Practical Deep Learning 3 v\nExplainable Arficial\nWAF7009 | inteligence (XAl) 2 N\nwoa7o19 | Augmented Reality 3 v\nRobotics and r\nWOF7010 | Automation Es ‘\nWar7011 | Cognitive Computing 3 v\nNote:\n*Students are only allowed to register for the WQF7023 Al Research Project after completing at least three (3)\ncore discipline courses (including WOX7001)", "retrieval_text": "Title: Master of Artificial Intelligence - Course Plan - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Artificial Intelligence?\n- How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?\n\nQuestion variants:\n- What is the course plan for Master of Artificial Intelligence?\n- How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?\n- Could you explain the course plan for Master of Artificial Intelligence?\n- Just asking, what's the course plan for Master of Artificial Intelligence?\n- Could you explain how is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?\n- So basically, how is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?\n- Could you tell me which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?\n\nGrounded answer bank:\n- The course plan shows a coursework pathway built around eight core discipline courses, two electives, and a 10-credit Artificial Intelligence Research Project based on a real-world case study. The core taught subjects cover AI techniques, vision, language processing, intelligent computation, analytics and ethics, while the elective space lets students choose deeper applied topics such as deep learning, explainable AI, robotics, cognitive computing, and augmented reality.\n\nSource chunk text:\nCOURSE PLAN\n————-eo-—\nINTAKE SEMESTER | 2025/2026\nWwW\nSs\nResearch Project\nMASTER OF ARTIFICIAL credits | Semester! | Semester i\nINTELLIGENCE | 2026/2028 | 2028/2026\nCore Courses\nwox7001 | *Research Methodology 3 v y\nAdvanced J\nWOA7O1S | Nachine Learning 2 4\n‘Artificial Intelligence ;\nWOF7002 Techniques 3 N\nComputer Vision and i\nWAF7006 | Image Processing Lj is\nNatural Language j\nwar7007 | Paesing 4 y\nWOF7003 | intelligent Computation 4 v\nData Analyfios in ;\nWOF7004 | Artficial Intelligence Ld ¥\nData Privacy and\nWaF7005 } Artificial Intelligence 3 y\nEthios\nwar7o29 | Aftcial inteligence a 7 7\nElective Courses [Students are required to choose an’\n\\y two (2) courses from the list below]\nwar7008 | Practical Deep Learning 3 v\nExplainable Arficial\nWAF7009 | inteligence (XAl) 2 N\nwoa7o19 | Augmented Reality 3 v\nRobotics and r\nWOF7010 | Automation Es ‘\nWar7011 | Cognitive Computing 3 v\nNote:\n*Students are only allowed to register for the WQF7023 Al Research Project after completing at least three (3)\ncore discipline courses (including WOX7001)\n\nKeywords: Master of Artificial Intelligence, advanced, artificial, core, core courses, course plan, courses, data, inteligence, intelligence, learning, project, research, semester, semesters, wox7001"}
+{"kb_id": "RAGKB-0483", "knowledge_group_id": "KG-0027", "source_chunk_id": "SC-00483", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "Course Plan", "title": "Master of Artificial Intelligence - Course Plan - chunk 2", "pages": [103], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0040", "UMI-0246", "UMI-0247"], "group_canonical_questions": ["What is the course plan for Master of Artificial Intelligence?", "How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?", "Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "availability", "change", "complete", "consecutive", "courses", "depending", "every", "p14", "project", "semester", "special"], "retrieval_tags": [], "source_text": "For Artificial intelligence Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample\nP14 in Semester II and P2 in Special Semester\n‘© P1 in Special Semester and P2 in Semester |\n* P14 in Semester | and P2 in Semester II\nThe courses that will be offered every semester are subject to change, depending on the availability of staff\n(J\nof students registering\nOm", "retrieval_text": "Title: Master of Artificial Intelligence - Course Plan - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: Course Plan\n\nCanonical questions:\n- What is the course plan for Master of Artificial Intelligence?\n- How is the course plan for Master of Artificial Intelligence distributed across semesters or study periods?\n- Which compulsory, core, or major taught components are visible in the course plan for Master of Artificial Intelligence?\n\nSource chunk text:\nFor Artificial intelligence Research Project (P1 and P2) must complete the project in consecutive semesters.\nExample\nP14 in Semester II and P2 in Special Semester\n‘© P1 in Special Semester and P2 in Semester |\n* P14 in Semester | and P2 in Semester II\nThe courses that will be offered every semester are subject to change, depending on the availability of staff\n(J\nof students registering\nOm\n\nKeywords: artificial, availability, change, complete, consecutive, courses, depending, every, p14, project, semester, special"}
+{"kb_id": "RAGKB-0484", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00484", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 1", "pages": [104], "chunk_index": 1, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?", "Could you tell me what courses and course contents are listed for Master of Artificial Intelligence?", "Low-key, what courses and course contents are listed for Master of Artificial Intelligence?", "Could you tell me which course titles are listed for Master of Artificial Intelligence?", "Real quick, which course titles are listed for Master of Artificial Intelligence?", "Could you tell me what subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "matched_qa_ids": ["qa_000041", "qa_000248", "qa_000249", "qa_000476", "qa_000477", "qa_000792", "qa_000793", "qa_000794"], "grounded_answer_bank": ["The listed core courses are WOX7001 Research Methodology, WOA7015 Advanced Machine Learning, WQF7002 Artificial Intelligence Techniques, WQF7006 Computer Vision and Image Processing, WQF7007 Natural Language Processing, WQF7003 Intelligent Computation, WQF7004 Data Analytics in Artificial Intelligence, WQF7005 Data Privacy and Artificial Intelligence Ethics, and WQF7023 Artificial Intelligence Research Project. Students choose any two electives from WQF7008 Practical Deep Learning, WQF7009 Explainable Artificial Intelligence (XAI), WOA7019 Augmented Reality, WQF7010 Robotics and Automation, and WQF7011 Cognitive Computing. The handbook states that the AI Research Project may only be taken after completing at least three core discipline courses, including WOX7001.", "The listed course titles are Research Methodology, Advanced Machine Learning, Artificial Intelligence Techniques, Computer Vision and Image Processing, Natural Language Processing, Intelligent Computation, Data Analytics in Artificial Intelligence, Data Privacy and Artificial Intelligence Ethics, Artificial Intelligence Research Project, Practical Deep Learning, Explainable Artificial Intelligence (XAI), Augmented Reality, Robotics and Automation, and Cognitive Computing.", "The listed courses cover research methodology, machine learning, artificial intelligence techniques, computer vision, natural language processing, intelligent computation, AI-focused data analytics, AI ethics and privacy, research-project work, deep learning, explainable AI, robotics and automation, augmented reality, and cognitive computing."], "retrieval_keywords": ["Master of Artificial Intelligence", "artificial", "code", "core", "course", "course contents", "course themes", "course titles", "courses", "credits", "data", "intelligence", "learning", "list", "note", "research"], "retrieval_tags": ["list_of_courses_and_contents", "master_of_artificial_intelligence", "postgraduate"], "source_text": "LIST OF COURSES &\nCONTENTS\nee es\nawtae\nKS\nCORE COURSES\nCode Course Credits\nWOXx7001 | Research Methodology 3\nWOA7015__| Advanced Machine Learning 3\nWQF7002 _| Artificial Intelligence Techniques 3\nWAF7006 | Computer Vision and Image Processing 3\nWaF7007 _| Natural Language Processing 4\nWQF7003 _| Intelligent Computation 4\nWQF7004 | Data Analytics in Artificial Intelligence 3\nWAF7005 _| Data Privacy and Artificial Intelligence Ethics 3\nWAF7023 _| Artificial Intelligence Research Project 10\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nWQF7008 | Practical Deep Learning 3\nWQF7009 | Explainable Artificial Intelligence (XA) 3\nWOA7019_ | Augmented Reality 3\nWAQF7010_ | Robotics and Automation 3\nWQF7011_| Cognitive Computing 3\nNote:\n*Students are only allowed to register for the WQF7023 Al Research Project after completing at least\nthree (3) core discipline courses (including WOX7001)\nThe courses that will be offered every semester are subject to change, depending on the availability of", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nQuestion variants:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n- Could you tell me what courses and course contents are listed for Master of Artificial Intelligence?\n- Low-key, what courses and course contents are listed for Master of Artificial Intelligence?\n- Could you tell me which course titles are listed for Master of Artificial Intelligence?\n- Real quick, which course titles are listed for Master of Artificial Intelligence?\n- Could you tell me what subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nGrounded answer bank:\n- The listed core courses are WOX7001 Research Methodology, WOA7015 Advanced Machine Learning, WQF7002 Artificial Intelligence Techniques, WQF7006 Computer Vision and Image Processing, WQF7007 Natural Language Processing, WQF7003 Intelligent Computation, WQF7004 Data Analytics in Artificial Intelligence, WQF7005 Data Privacy and Artificial Intelligence Ethics, and WQF7023 Artificial Intelligence Research Project. Students choose any two electives from WQF7008 Practical Deep Learning, WQF7009 Explainable Artificial Intelligence (XAI), WOA7019 Augmented Reality, WQF7010 Robotics and Automation, and WQF7011 Cognitive Computing. The handbook states that the AI Research Project may only be taken after completing at least three core discipline courses, including WOX7001.\n- The listed course titles are Research Methodology, Advanced Machine Learning, Artificial Intelligence Techniques, Computer Vision and Image Processing, Natural Language Processing, Intelligent Computation, Data Analytics in Artificial Intelligence, Data Privacy and Artificial Intelligence Ethics, Artificial Intelligence Research Project, Practical Deep Learning, Explainable Artificial Intelligence (XAI), Augmented Reality, Robotics and Automation, and Cognitive Computing.\n- The listed courses cover research methodology, machine learning, artificial intelligence techniques, computer vision, natural language processing, intelligent computation, AI-focused data analytics, AI ethics and privacy, research-project work, deep learning, explainable AI, robotics and automation, augmented reality, and cognitive computing.\n\nSource chunk text:\nLIST OF COURSES &\nCONTENTS\nee es\nawtae\nKS\nCORE COURSES\nCode Course Credits\nWOXx7001 | Research Methodology 3\nWOA7015__| Advanced Machine Learning 3\nWQF7002 _| Artificial Intelligence Techniques 3\nWAF7006 | Computer Vision and Image Processing 3\nWaF7007 _| Natural Language Processing 4\nWQF7003 _| Intelligent Computation 4\nWQF7004 | Data Analytics in Artificial Intelligence 3\nWAF7005 _| Data Privacy and Artificial Intelligence Ethics 3\nWAF7023 _| Artificial Intelligence Research Project 10\nELECTIVE COURSES\n(NOTE: Students are required to choose any two (2) courses from the list below)\nCode Course Credits\nWQF7008 | Practical Deep Learning 3\nWQF7009 | Explainable Artificial Intelligence (XA) 3\nWOA7019_ | Augmented Reality 3\nWAQF7010_ | Robotics and Automation 3\nWQF7011_| Cognitive Computing 3\nNote:\n*Students are only allowed to register for the WQF7023 Al Research Project after completing at least\nthree (3) core discipline courses (including WOX7001)\nThe courses that will be offered every semester are subject to change, depending on the availability of\n\nKeywords: Master of Artificial Intelligence, artificial, code, core, course, course contents, course themes, course titles, courses, credits, data, intelligence, learning, list, note, research"}
+{"kb_id": "RAGKB-0485", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00485", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 2", "pages": [105], "chunk_index": 2, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "analysis", "answering", "approach", "appropriate", "course", "learning", "outcomes", "plan", "questions", "research"], "retrieval_tags": [], "source_text": "S\nCJ\nWOX7001 _Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch,\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nIW\nSynopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment: 100%\nFinal Examination 10%\nWOA7015 Advanced Machine Learning\nCourse Learning Outcomes", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nS\nCJ\nWOX7001 _Research Methodology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe appropriate methodologies used in computer science and information technology\nresearch,\n2. Devise a plan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer\nscience and information technology research.\nIW\nSynopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statement, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment: 100%\nFinal Examination 10%\nWOA7015 Advanced Machine Learning\nCourse Learning Outcomes\n\nKeywords: able, advanced, analysis, answering, approach, appropriate, course, learning, outcomes, plan, questions, research"}
+{"kb_id": "RAGKB-0486", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00486", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 3", "pages": [105], "chunk_index": 3, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "artificial", "concepts", "course", "end", "intelligence", "knowledge", "learning", "machine", "problems", "techniques"], "retrieval_tags": [], "source_text": "At the end of this course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\nReport the solution to machine learning problems by devising and listing the steps in machine\nlearning applied to solve different types of problems\n3. Demonstrate skills and knowledge of machine learning by managing a machine learning project.\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision trees, neural networks, and support vector machines as\nwell as reinforcement learning\nEvaluation and Weightage\nContinuous Assessment + 50%\nFinal Examination 50%\nWQF7002 Artificial Intelligence Techniques\nCourse Learning Outcomes\nAt the end of the course, students are able to:\nExplain what constitutes Artificial Intelligence and identify systems with Artificial Intelligence\nelements.\nApply basic principles of Artificial Intelligence in problem solving, inference, perception,\nknowledge representation, and machine learning.\n1.", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nAt the end of this course, students are able to:\n1. Practice concepts and techniques for machine learning related to digital and numerical methods.\nReport the solution to machine learning problems by devising and listing the steps in machine\nlearning applied to solve different types of problems\n3. Demonstrate skills and knowledge of machine learning by managing a machine learning project.\nSynopsis of Course Content\nThis course introduces advanced concepts and techniques for machine learning. It covers topics such\nas linear and logistic regression, decision trees, neural networks, and support vector machines as\nwell as reinforcement learning\nEvaluation and Weightage\nContinuous Assessment + 50%\nFinal Examination 50%\nWQF7002 Artificial Intelligence Techniques\nCourse Learning Outcomes\nAt the end of the course, students are able to:\nExplain what constitutes Artificial Intelligence and identify systems with Artificial Intelligence\nelements.\nApply basic principles of Artificial Intelligence in problem solving, inference, perception,\nknowledge representation, and machine learning.\n1.\n\nKeywords: able, advanced, artificial, concepts, course, end, intelligence, knowledge, learning, machine, problems, techniques"}
+{"kb_id": "RAGKB-0487", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00487", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 4", "pages": [105], "chunk_index": 4, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["agents", "analyse", "applications", "artificial", "expert", "intelligence", "intelligent", "learning", "machine", "models", "networks", "neural"], "retrieval_tags": [], "source_text": "2. Analyse the applications of Artificial intelligence techniques in intelligent agents, expert systems,\nartificial neural networks, and other machine learning models.\n3.", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 4\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\n2. Analyse the applications of Artificial intelligence techniques in intelligent agents, expert systems,\nartificial neural networks, and other machine learning models.\n3.\n\nKeywords: agents, analyse, applications, artificial, expert, intelligence, intelligent, learning, machine, models, networks, neural"}
+{"kb_id": "RAGKB-0488", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00488", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 5", "pages": [106], "chunk_index": 5, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algorithms", "artificial", "component", "concepts", "content", "course", "design", "evaluate", "image", "intelligence", "learning", "processing"], "retrieval_tags": [], "source_text": "This course introduces the core artificial intelligence concepts and skills that allow machines to mimic\nhuman intelligence. It contains a theory component about the concepts and principles that underlie\nmodern Al algorithms, and a practice component to relate theoretical principles with practical\nimplementation. Coverage includes knowledge representation, logic, inference, problem solving,\nsearch algorithms, game theory, perception, learning, planning, and agent design\nSynopsis of Course Content as\nEvaluation and Weightage\nContinuous Assessment — : 60%\nFinal Examination 140%\n'WQF7006 Computer Vision and Image Processing\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Evaluate suitable image processing techniques to solve artificial intelligence problems.\n2. Evaluate performances of image processing methods for a given artificial intelligence scenario.\n3. Design and develop image processing systems in the artificial intelligence domain\nSynopsis of Course Content", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 5\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nThis course introduces the core artificial intelligence concepts and skills that allow machines to mimic\nhuman intelligence. It contains a theory component about the concepts and principles that underlie\nmodern Al algorithms, and a practice component to relate theoretical principles with practical\nimplementation. Coverage includes knowledge representation, logic, inference, problem solving,\nsearch algorithms, game theory, perception, learning, planning, and agent design\nSynopsis of Course Content as\nEvaluation and Weightage\nContinuous Assessment — : 60%\nFinal Examination 140%\n'WQF7006 Computer Vision and Image Processing\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1. Evaluate suitable image processing techniques to solve artificial intelligence problems.\n2. Evaluate performances of image processing methods for a given artificial intelligence scenario.\n3. Design and develop image processing systems in the artificial intelligence domain\nSynopsis of Course Content\n\nKeywords: algorithms, artificial, component, concepts, content, course, design, evaluate, image, intelligence, learning, processing"}
+{"kb_id": "RAGKB-0489", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00489", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 6", "pages": [106], "chunk_index": 6, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["course", "image", "included", "language", "learning", "level", "natural", "nlp", "operations", "processes", "processing", "task"], "retrieval_tags": [], "source_text": "This course explores image processing techniques in solving artificial intelligence problems. Image\nformation and image models are initial steps involved, It covers pixel and object level operations\nincluding histogram, edge, and segment. Image enhancement and restoration are compared. Image\nregistration and image transform operations are included. Finally, image features and recognition\nprocesses are given. Deep learning approach for computer vision is included\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 140%\n'WQF7007 Natural Language Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the Natural Language Processing (NLP) techniques in various domains.\n2. Design a Natural Language Processing (NLP) solution to resolve issues related to unstructured\ntext.\n3. Develop an NLP application by integrating all processes in the NLP pipeline which are\npre-processing, low level task and high level task,\nSynopsis of Course Content", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 6\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nThis course explores image processing techniques in solving artificial intelligence problems. Image\nformation and image models are initial steps involved, It covers pixel and object level operations\nincluding histogram, edge, and segment. Image enhancement and restoration are compared. Image\nregistration and image transform operations are included. Finally, image features and recognition\nprocesses are given. Deep learning approach for computer vision is included\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 140%\n'WQF7007 Natural Language Processing\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Apply the Natural Language Processing (NLP) techniques in various domains.\n2. Design a Natural Language Processing (NLP) solution to resolve issues related to unstructured\ntext.\n3. Develop an NLP application by integrating all processes in the NLP pipeline which are\npre-processing, low level task and high level task,\nSynopsis of Course Content\n\nKeywords: course, image, included, language, learning, level, natural, nlp, operations, processes, processing, task"}
+{"kb_id": "RAGKB-0490", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00490", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 7", "pages": [106], "chunk_index": 7, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "analysis", "applications", "areas", "artificial", "assessment", "continuous", "course", "covers", "different", "nlp", "techniques"], "retrieval_tags": [], "source_text": "Natural language processing (NLP) is one of the most important areas in Artificial Intelligence (Al).\nThis course covers the theory and practice of NLP through techniques for different levels which are\npre-processing, low-level and high level. It also covers recent techniques and applications in NLP\nincluding Sentiment Analysis, Machine Translation, Topic Modeling and Named Entity Recognition,\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 130%\na", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 7\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nNatural language processing (NLP) is one of the most important areas in Artificial Intelligence (Al).\nThis course covers the theory and practice of NLP through techniques for different levels which are\npre-processing, low-level and high level. It also covers recent techniques and applications in NLP\nincluding Sentiment Analysis, Machine Translation, Topic Modeling and Named Entity Recognition,\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 130%\na\n\nKeywords: also, analysis, applications, areas, artificial, assessment, continuous, course, covers, different, nlp, techniques"}
+{"kb_id": "RAGKB-0491", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00491", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 8", "pages": [107], "chunk_index": 8, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["algebra", "algorithms", "artificial", "course", "graph", "intelligence", "linear", "mathematical", "problems", "reasoning", "search", "theory"], "retrieval_tags": [], "source_text": "WQF7003 Intelligent Computation\nC\nAt the end of the course, students are able to:\n1. Explain how mathematical theories help in solving Al problems.\n2. Solve Al problems with formal reasoning.\n3. Combine mathematical techniques in solving artificial intelligence problems.\nSynopsis of Course Content\nThis course covers fundamental mathematical theories that support the development of artificial\nintelligence. Topics covered include logic and reasoning, linear algebra, graph theory and search\nalgorithms, and probability theory.\nThis course finds relation with other courses in the program, such as: Advanced Machine Learning\nwhere linear algebra, graph theory and search algorithms are used heavily; Computer Vision and\nImage Processing where linear algebra and probability theory finds their applications; and Natural\nLanguage Processing which has relation with graph theory and search algorithms, as well as logic and\nreasoning. The content of this course is also the fundamental of courses like Practical Deep Learning\nand Artificial Intelligence Techniques.\nEvaluation and Weightage", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 8\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nWQF7003 Intelligent Computation\nC\nAt the end of the course, students are able to:\n1. Explain how mathematical theories help in solving Al problems.\n2. Solve Al problems with formal reasoning.\n3. Combine mathematical techniques in solving artificial intelligence problems.\nSynopsis of Course Content\nThis course covers fundamental mathematical theories that support the development of artificial\nintelligence. Topics covered include logic and reasoning, linear algebra, graph theory and search\nalgorithms, and probability theory.\nThis course finds relation with other courses in the program, such as: Advanced Machine Learning\nwhere linear algebra, graph theory and search algorithms are used heavily; Computer Vision and\nImage Processing where linear algebra and probability theory finds their applications; and Natural\nLanguage Processing which has relation with graph theory and search algorithms, as well as logic and\nreasoning. The content of this course is also the fundamental of courses like Practical Deep Learning\nand Artificial Intelligence Techniques.\nEvaluation and Weightage\n\nKeywords: algebra, algorithms, artificial, course, graph, intelligence, linear, mathematical, problems, reasoning, search, theory"}
+{"kb_id": "RAGKB-0492", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00492", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 9", "pages": [107], "chunk_index": 9, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["analytics", "artificial", "assessment", "continuous", "course", "data", "examination", "final", "intelligence", "learning", "problems", "techniques"], "retrieval_tags": [], "source_text": "Continuous Assessment: 50%\nFinal Examination 150%\nWQF7004 Data Analytics in Artificial Intelligence\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n1. Explain the basic concepts of data analytics in Artificial Intelligence in various domains.\n2. Design domain-based data analytic pipeline to solve real world Artificial Intelligence problems,\n3. Apply suitable data analytics techniques to solve real world problems for Artificial intelligence.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyse various types of data\n(tabular, text and images) using suitable data analytics techniques and do predictive modelling by\nusing different Machine Learning techniques.\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 240%\nfe\n(J", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 9\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nContinuous Assessment: 50%\nFinal Examination 150%\nWQF7004 Data Analytics in Artificial Intelligence\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n1. Explain the basic concepts of data analytics in Artificial Intelligence in various domains.\n2. Design domain-based data analytic pipeline to solve real world Artificial Intelligence problems,\n3. Apply suitable data analytics techniques to solve real world problems for Artificial intelligence.\nSynopsis of Course Content\nThis course aims to develop students’ ability to describe, explore and analyse various types of data\n(tabular, text and images) using suitable data analytics techniques and do predictive modelling by\nusing different Machine Learning techniques.\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 240%\nfe\n(J\n\nKeywords: analytics, artificial, assessment, continuous, course, data, examination, final, intelligence, learning, problems, techniques"}
+{"kb_id": "RAGKB-0493", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00493", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 10", "pages": [108], "chunk_index": 10, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "artificial", "concepts", "course", "current", "data", "end", "ethical", "intelligence", "more", "privacy", "technologies"], "retrieval_tags": [], "source_text": "WQF7005 Data Privacy and Artificial Intelligence Ethics\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1, Assess the importance of data privacy and ethical concepts in the development of Artificial\nIntelligence system.\n2. Check current smart systems and technologies that are less concerned with ethical issues and\ndata privacy.\n3. Design Artificial Intelligence technology to be more responsible and in line with the needs of\nindustry and society\n_awae\n‘Synopsis of Course Content\nThe course describes the concepts and philosophy of data privacy and ethics in Artificial Intelligence\ntechnologies. All strategies for developing a more responsible Artificial Intelligence system will be\nexplained in more detail. The course also analyse and critique issues of data privacy violations or\nunethical values in current smart systems and technologies\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 230%\nWQF7023 —_— Artificial Intelligence Research Project\nCourse Learning Outcomes\nAt the end of this course, students are able to:", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 10\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nWQF7005 Data Privacy and Artificial Intelligence Ethics\nCourse Learning Outcomes\nAt the end of this course, the students are able to:\n1, Assess the importance of data privacy and ethical concepts in the development of Artificial\nIntelligence system.\n2. Check current smart systems and technologies that are less concerned with ethical issues and\ndata privacy.\n3. Design Artificial Intelligence technology to be more responsible and in line with the needs of\nindustry and society\n_awae\n‘Synopsis of Course Content\nThe course describes the concepts and philosophy of data privacy and ethics in Artificial Intelligence\ntechnologies. All strategies for developing a more responsible Artificial Intelligence system will be\nexplained in more detail. The course also analyse and critique issues of data privacy violations or\nunethical values in current smart systems and technologies\nEvaluation and Weightage\nContinuous Assessment 170%\nFinal Examination 230%\nWQF7023 —_— Artificial Intelligence Research Project\nCourse Learning Outcomes\nAt the end of this course, students are able to:\n\nKeywords: able, artificial, concepts, course, current, data, end, ethical, intelligence, more, privacy, technologies"}
+{"kb_id": "RAGKB-0494", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00494", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 11", "pages": [108], "chunk_index": 11, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applying", "artificial", "course", "data", "intelligence", "methods", "presentation", "problems", "project", "related", "research", "solution"], "retrieval_tags": [], "source_text": "1. Design solution using artificial intelligence techniques for real world problems.\n2. Develop Artificial Intelligence-based solution formulated on project objectives,\n3. Explain solution in oral and written presentation related to artificial intelligence research.\n‘Synopsis of Course Content\nA research project is a medium-scale project to enable students to do research related to artificial\nintelligence. Research projects allow students to use actual data from industry partners or public data\nto create applications by applying knowledge in the basic, theories and scientific methods to solve\nproblems related to artificial intelligence. During the project, students will engage in the overall\nprocess of general research, starting with identifying problems, collecting and processing data,\nrecommending solution methods, applying appropriate scientific methods and ending with\nimplementing affordable solutions and evaluations. At the end of the course, students are required to\nsubmit a project report and perform a project presentation.\nEvaluation and Weightage\nContinuous Assessment: 100%", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 11\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\n1. Design solution using artificial intelligence techniques for real world problems.\n2. Develop Artificial Intelligence-based solution formulated on project objectives,\n3. Explain solution in oral and written presentation related to artificial intelligence research.\n‘Synopsis of Course Content\nA research project is a medium-scale project to enable students to do research related to artificial\nintelligence. Research projects allow students to use actual data from industry partners or public data\nto create applications by applying knowledge in the basic, theories and scientific methods to solve\nproblems related to artificial intelligence. During the project, students will engage in the overall\nprocess of general research, starting with identifying problems, collecting and processing data,\nrecommending solution methods, applying appropriate scientific methods and ending with\nimplementing affordable solutions and evaluations. At the end of the course, students are required to\nsubmit a project report and perform a project presentation.\nEvaluation and Weightage\nContinuous Assessment: 100%\n\nKeywords: applying, artificial, course, data, intelligence, methods, presentation, problems, project, related, research, solution"}
+{"kb_id": "RAGKB-0495", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00495", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 12", "pages": [109], "chunk_index": 12, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "advanced", "architectures", "computing", "course", "deep", "design", "develop", "knowledge", "learning", "projects", "skills"], "retrieval_tags": [], "source_text": "Course Learning Outcomes\nAt the end of the course, students are able to:\n1. Unifies the knowledge on the fundamentals and architectures of deep learning, and the need for\nparallel and distributed computing for deep learning.\n2. Integrate and develop the requirements for cloud computing infrastructure, GPU and relevant\nsoftware as well as tools for setting up, modelling, debugging and serving of deep learning\nprojects.\n3. Practice the knowledge and skills to design deep learning based solutions.\nSynopsis of Course Content\nThis course is closely linked with the Advanced Machine Learning course which is a pre-requisite for\nthis course. It reinforces the knowledge on the fundamental concepts related to deep leaming (such\nas different deep learning architectures) and introduces practical techniques to get started on Artificial\nIntelligence projects and develop an industry portfolio. Specifically, it will provide the necessary\nknowledge and skills on how to design a deep learning production system end-to-end: project", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 12\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Unifies the knowledge on the fundamentals and architectures of deep learning, and the need for\nparallel and distributed computing for deep learning.\n2. Integrate and develop the requirements for cloud computing infrastructure, GPU and relevant\nsoftware as well as tools for setting up, modelling, debugging and serving of deep learning\nprojects.\n3. Practice the knowledge and skills to design deep learning based solutions.\nSynopsis of Course Content\nThis course is closely linked with the Advanced Machine Learning course which is a pre-requisite for\nthis course. It reinforces the knowledge on the fundamental concepts related to deep leaming (such\nas different deep learning architectures) and introduces practical techniques to get started on Artificial\nIntelligence projects and develop an industry portfolio. Specifically, it will provide the necessary\nknowledge and skills on how to design a deep learning production system end-to-end: project\n\nKeywords: able, advanced, architectures, computing, course, deep, design, develop, knowledge, learning, projects, skills"}
+{"kb_id": "RAGKB-0496", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00496", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 13", "pages": [109], "chunk_index": 13, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["artificial", "black-box", "concepts", "course", "evaluation", "explainable", "explanations", "generating", "intelligence", "learning", "machine", "methods"], "retrieval_tags": [], "source_text": "scoping, data needs, modelling strategies, and system deployment requirements.\nWaQF7008 Practical Deep Learning OC)\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 140%\nCourse Prereq\nWaQF7009 Explainable Artificial Intelligence (XAI)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Categorize the concepts of Explainable Artificial Intelligence (Al) and the current techniques for\ngenerating explanations from black-box machine learning methods.\n2. Design the Explainable Al methods.\n3. Develop the ability to critically assess the state-of-the-art of Explainable Al methods.\nSynopsis of Course Content\nThis course gives an introduction to Explainable Al (XA\\), providing an overview of relevant concepts\nsuch as interpretability, transparency and black-box machine learning methods. The course provides\nan overview of state-of-the-art methods for generating explanations, and touches upon issues related\nto decision-support, human interaction with Al/intelligent systems and their evaluation. In summary,", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 13\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nscoping, data needs, modelling strategies, and system deployment requirements.\nWaQF7008 Practical Deep Learning OC)\nEvaluation and Weightage\nContinuous Assessment: 60%\nFinal Examination 140%\nCourse Prereq\nWaQF7009 Explainable Artificial Intelligence (XAI)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Categorize the concepts of Explainable Artificial Intelligence (Al) and the current techniques for\ngenerating explanations from black-box machine learning methods.\n2. Design the Explainable Al methods.\n3. Develop the ability to critically assess the state-of-the-art of Explainable Al methods.\nSynopsis of Course Content\nThis course gives an introduction to Explainable Al (XA\\), providing an overview of relevant concepts\nsuch as interpretability, transparency and black-box machine learning methods. The course provides\nan overview of state-of-the-art methods for generating explanations, and touches upon issues related\nto decision-support, human interaction with Al/intelligent systems and their evaluation. In summary,\n\nKeywords: artificial, black-box, concepts, course, evaluation, explainable, explanations, generating, intelligence, learning, machine, methods"}
+{"kb_id": "RAGKB-0497", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00497", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 14", "pages": [109], "chunk_index": 14, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["applications", "assessment", "black-box", "concepts", "continuous", "course", "covers", "definitions", "evaluation", "examination", "explainable", "models"], "retrieval_tags": [], "source_text": "the Explainable Al course covers the following topics: definitions and concepts such as black-box\nmodels, transparency, interpretable machine learning and explanations, explainable Al models,\nmethods for Explainable Al, applications and examples.\nEvaluation and Weightage\nContinuous Assessment —_: 60%\nFinal Examination 140%\nfe\n(J", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 14\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nthe Explainable Al course covers the following topics: definitions and concepts such as black-box\nmodels, transparency, interpretable machine learning and explanations, explainable Al models,\nmethods for Explainable Al, applications and examples.\nEvaluation and Weightage\nContinuous Assessment —_: 60%\nFinal Examination 140%\nfe\n(J\n\nKeywords: applications, assessment, black-box, concepts, continuous, course, covers, definitions, evaluation, examination, explainable, models"}
+{"kb_id": "RAGKB-0498", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00498", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 15", "pages": [110], "chunk_index": 15, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["able", "applications", "augmented", "course", "develop", "devices", "end", "human", "knowledge", "reality", "related", "technologies"], "retrieval_tags": [], "source_text": "Woa7019 Augmented Reality OC)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe the technologies related to Augmented Reality.\n2. Apply the related new technologies in the design of augmented reality applications.\n3. Develop interactive augmented reality applications for both PC based and mobile devices using a\nvariety of input devices.\n(\\\nSynopsis of Course Content\nThis course is designed to introduce students with knowledge related to augmented reality concepts\nand technology. This is followed with a discussion on how knowledge about human sensory systems\ncan facilitate in designing ergonomic augmented reality devices that match human perceptual\ncapabilities. Students are then trained to develop an augmented application using a suitable\nprogramming language and 3D software. Towards the end of the course, there will be discussions on\nseveral examples of augmented reality applications with emphasis on the contributions of the\naugmented reality technology and future direction of this technology.\nEvaluation and Weightage\nContinuous Assessment: 70%", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 15\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nWoa7019 Augmented Reality OC)\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Describe the technologies related to Augmented Reality.\n2. Apply the related new technologies in the design of augmented reality applications.\n3. Develop interactive augmented reality applications for both PC based and mobile devices using a\nvariety of input devices.\n(\\\nSynopsis of Course Content\nThis course is designed to introduce students with knowledge related to augmented reality concepts\nand technology. This is followed with a discussion on how knowledge about human sensory systems\ncan facilitate in designing ergonomic augmented reality devices that match human perceptual\ncapabilities. Students are then trained to develop an augmented application using a suitable\nprogramming language and 3D software. Towards the end of the course, there will be discussions on\nseveral examples of augmented reality applications with emphasis on the contributions of the\naugmented reality technology and future direction of this technology.\nEvaluation and Weightage\nContinuous Assessment: 70%\n\nKeywords: able, applications, augmented, course, develop, devices, end, human, knowledge, reality, related, technologies"}
+{"kb_id": "RAGKB-0499", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00499", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 16", "pages": [110], "chunk_index": 16, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["actuators", "apply", "automation", "collected", "controllers", "course", "data", "examination", "final", "methods", "robotic", "systems"], "retrieval_tags": [], "source_text": "Final Examination 130%\nWQF7010 Robotics and Automation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Design robotic and automation systems using parts like sensors, controllers and actuators.\n2. Infer patterns from data collected.\n3, Evaluate robotic and automation systems for optimum performance in various applications.\nSynopsis of Course Content\nThis course focuses on developing robotic and automation systems by integrating components such\nas sensors, controllers, motors and actuators. Students apply data acquisition methods, control\nmethods and also program robot sensing, connectivity, mobility and manipulation to achieve\nautomation. Additionally, students can apply artificial intelligence techniques to analyse collected data\nfor informed decision making.\nEvaluation and Weightage\nContinuous Assessment: 70%\nFinal Examination 230%\nfe\n(J", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 16\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nFinal Examination 130%\nWQF7010 Robotics and Automation\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n1. Design robotic and automation systems using parts like sensors, controllers and actuators.\n2. Infer patterns from data collected.\n3, Evaluate robotic and automation systems for optimum performance in various applications.\nSynopsis of Course Content\nThis course focuses on developing robotic and automation systems by integrating components such\nas sensors, controllers, motors and actuators. Students apply data acquisition methods, control\nmethods and also program robot sensing, connectivity, mobility and manipulation to achieve\nautomation. Additionally, students can apply artificial intelligence techniques to analyse collected data\nfor informed decision making.\nEvaluation and Weightage\nContinuous Assessment: 70%\nFinal Examination 230%\nfe\n(J\n\nKeywords: actuators, apply, automation, collected, controllers, course, data, examination, final, methods, robotic, systems"}
+{"kb_id": "RAGKB-0500", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00500", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 17", "pages": [111], "chunk_index": 17, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["also", "applications", "artificial", "cognitive", "computing", "course", "intelligence", "interaction", "learning", "recognition", "systems", "will"], "retrieval_tags": [], "source_text": "warF7011 Cognitive Computing\nCourse Learning Outcomes as\nAt the end of the course, students are able to:\n1. Assess the relationship between cognitive computing systems, artificial intelligence and and\nhuman interaction.\n2. Specify requirements and techniques for designing cognitive computing systems.\n3. Develop cognitive computing systems as a solution for artificial intelligence applications.\nSynopsis of Course Content\nThe student will learn and understand the concept of cognitive computing systems and its relations\nwith artificial intelligence and big data, Students will also leam the requirements and techniques such\nas the characteristics, components and architecture needed to design cognitive computing system\napplications powered by multiple Al technologies encompassing machine learning, reasoning, natural\nlanguage processing, speech recognition and vision (object recognition), human-computer interaction,\ndialog and narrative generation. In addition, students will also evaluate how such systems can be", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 17\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nwarF7011 Cognitive Computing\nCourse Learning Outcomes as\nAt the end of the course, students are able to:\n1. Assess the relationship between cognitive computing systems, artificial intelligence and and\nhuman interaction.\n2. Specify requirements and techniques for designing cognitive computing systems.\n3. Develop cognitive computing systems as a solution for artificial intelligence applications.\nSynopsis of Course Content\nThe student will learn and understand the concept of cognitive computing systems and its relations\nwith artificial intelligence and big data, Students will also leam the requirements and techniques such\nas the characteristics, components and architecture needed to design cognitive computing system\napplications powered by multiple Al technologies encompassing machine learning, reasoning, natural\nlanguage processing, speech recognition and vision (object recognition), human-computer interaction,\ndialog and narrative generation. In addition, students will also evaluate how such systems can be\n\nKeywords: also, applications, artificial, cognitive, computing, course, intelligence, interaction, learning, recognition, systems, will"}
+{"kb_id": "RAGKB-0501", "knowledge_group_id": "KG-0028", "source_chunk_id": "SC-00501", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Artificial Intelligence", "subsection": "List of Courses and Contents", "title": "Master of Artificial Intelligence - List of Courses and Contents - chunk 18", "pages": [111], "chunk_index": 18, "group_size_chunks": 18, "group_size_qas": 8, "linked_index_ids": ["UMI-0041", "UMI-0248", "UMI-0249"], "group_canonical_questions": ["What courses and course contents are listed for Master of Artificial Intelligence?", "Which course titles are listed for Master of Artificial Intelligence?", "What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["achieve", "assessment", "behaviors", "continuous", "domains", "evaluation", "examination", "final", "human-like", "human-machine", "improve", "interactions"], "retrieval_tags": [], "source_text": "used to achieve human-like behaviors that improve the performance of human-machine interactions in\nvarious domains\nEvaluation and Weightage\nContinuous Assessment + 70%\nFinal Examination 130%", "retrieval_text": "Title: Master of Artificial Intelligence - List of Courses and Contents - chunk 18\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Artificial Intelligence\n\nSubsection: List of Courses and Contents\n\nCanonical questions:\n- What courses and course contents are listed for Master of Artificial Intelligence?\n- Which course titles are listed for Master of Artificial Intelligence?\n- What subject areas or themes are covered by the listed courses in Master of Artificial Intelligence?\n\nSource chunk text:\nused to achieve human-like behaviors that improve the performance of human-machine interactions in\nvarious domains\nEvaluation and Weightage\nContinuous Assessment + 70%\nFinal Examination 130%\n\nKeywords: achieve, assessment, behaviors, continuous, domains, evaluation, examination, final, human-like, human-machine, improve, interactions"}
+{"kb_id": "RAGKB-0502", "knowledge_group_id": "KG-0040", "source_chunk_id": "SC-00502", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Programme Requirements", "title": "Master of Computer Science (By Research) - Programme Requirements - chunk 1", "pages": [113], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0042", "UMI-0250", "UMI-0251"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (By Research)?", "What admission background or entry qualifications are described for Master of Computer Science (By Research)?", "What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?"], "chunk_question_variants": ["What are the programme requirements for Master of Computer Science (By Research)?", "What admission background or entry qualifications are described for Master of Computer Science (By Research)?", "What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?", "Could you list the programme requirements for Master of Computer Science (By Research)?", "Quick one: what are the programme requirements for Master of Computer Science (By Research)?", "Could you tell me what admission background or entry qualifications are described for Master of Computer Science (By Research)?", "Just asking, what admission background or entry qualifications are described for Master of Computer Science (By Research)?", "Could you tell me what research-oriented expectations or study mode are described for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000042", "qa_000250", "qa_000251", "qa_000478", "qa_000479", "qa_000795", "qa_000796", "qa_000797"], "grounded_answer_bank": ["The Master of Computer Science by Research is a 100% research programme leading to the submission of a dissertation. Applicants are expected to hold a bachelor's degree with honours or a comparable degree in Computer Science or Information Technology, with priority given to those with a CGPA of 3.0 and above or equivalent, although other Senate-approved qualifications are also recognised. International applicants must meet the stated IELTS or TOEFL requirements. The study duration is two to eight semesters, candidates must attend and pass WOX7001 Research Methodology no later than the second semester, and the research area is determined upon admission.", "The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.", "The Master of Computer Science (By Research) is a fully research-based programme. It is conducted as one hundred per cent research and leads to the submission of a dissertation."], "retrieval_keywords": ["Master of Computer Science (By Research)", "admission", "applicants", "degree", "dissertation", "entry qualifications", "have", "hundred", "leading", "least", "master", "one", "programme requirements", "requirements", "research", "research mode", "shall"], "retrieval_tags": ["master_of_computer_science_by_research", "postgraduate", "programme_requirements"], "source_text": "PROGRAMME REQUIREMENTS\noS\n4. Programme Type\nThe type of programme offered for the Master of Computer Science by Research is one hundred\nper cent (100%) research leading to the submission of a dissertation\n2. Entry Requirements\nFor admission into the Master of Computer Science programme, applicants must have at least:\n* A Bachelor's degree with Honours or a comparable degree in Computer Science or\nInformation Technology; or\n© Other qualifications approved by the University Senate.\n‘* Priority is given to applicants with a CGPA of 3.0 and above or equivalent.\nIntemational applicants are required to have\n© At least IELTS Band 6 (Academic) or TOEFL score of 550 (paper-based) / 213\n(computer-based) / 80 (Internet-based) if their first degree is from a university where\nEnglish is not the medium of instruction.\n3. Duration of Study\nThe programme of study: two (2) to eight (8) semesters.\n4. Programme Structure\n(i) This programme shall consist of one hundred percent (100%) research work leading\nto the submission of a dissertation which format shall be stipulated as in Part VIl,", "retrieval_text": "Title: Master of Computer Science (By Research) - Programme Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (By Research)?\n- What admission background or entry qualifications are described for Master of Computer Science (By Research)?\n- What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?\n\nQuestion variants:\n- What are the programme requirements for Master of Computer Science (By Research)?\n- What admission background or entry qualifications are described for Master of Computer Science (By Research)?\n- What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?\n- Could you list the programme requirements for Master of Computer Science (By Research)?\n- Quick one: what are the programme requirements for Master of Computer Science (By Research)?\n- Could you tell me what admission background or entry qualifications are described for Master of Computer Science (By Research)?\n- Just asking, what admission background or entry qualifications are described for Master of Computer Science (By Research)?\n- Could you tell me what research-oriented expectations or study mode are described for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- The Master of Computer Science by Research is a 100% research programme leading to the submission of a dissertation. Applicants are expected to hold a bachelor's degree with honours or a comparable degree in Computer Science or Information Technology, with priority given to those with a CGPA of 3.0 and above or equivalent, although other Senate-approved qualifications are also recognised. International applicants must meet the stated IELTS or TOEFL requirements. The study duration is two to eight semesters, candidates must attend and pass WOX7001 Research Methodology no later than the second semester, and the research area is determined upon admission.\n- The handbook describes the admission background and entry qualifications for the programme, focusing on the applicant's prior computing-related academic preparation and the faculty's programme admission criteria.\n- The Master of Computer Science (By Research) is a fully research-based programme. It is conducted as one hundred per cent research and leads to the submission of a dissertation.\n\nSource chunk text:\nPROGRAMME REQUIREMENTS\noS\n4. Programme Type\nThe type of programme offered for the Master of Computer Science by Research is one hundred\nper cent (100%) research leading to the submission of a dissertation\n2. Entry Requirements\nFor admission into the Master of Computer Science programme, applicants must have at least:\n* A Bachelor's degree with Honours or a comparable degree in Computer Science or\nInformation Technology; or\n© Other qualifications approved by the University Senate.\n‘* Priority is given to applicants with a CGPA of 3.0 and above or equivalent.\nIntemational applicants are required to have\n© At least IELTS Band 6 (Academic) or TOEFL score of 550 (paper-based) / 213\n(computer-based) / 80 (Internet-based) if their first degree is from a university where\nEnglish is not the medium of instruction.\n3. Duration of Study\nThe programme of study: two (2) to eight (8) semesters.\n4. Programme Structure\n(i) This programme shall consist of one hundred percent (100%) research work leading\nto the submission of a dissertation which format shall be stipulated as in Part VIl,\n\nKeywords: Master of Computer Science (By Research), admission, applicants, degree, dissertation, entry qualifications, have, hundred, leading, least, master, one, programme requirements, requirements, research, research mode, shall"}
+{"kb_id": "RAGKB-0503", "knowledge_group_id": "KG-0040", "source_chunk_id": "SC-00503", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Programme Requirements", "title": "Master of Computer Science (By Research) - Programme Requirements - chunk 2", "pages": [113], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 8, "linked_index_ids": ["UMI-0042", "UMI-0250", "UMI-0251"], "group_canonical_questions": ["What are the programme requirements for Master of Computer Science (By Research)?", "What admission background or entry qualifications are described for Master of Computer Science (By Research)?", "What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["admission", "area", "attend", "candidate", "candidates", "candidature", "course", "courses", "credits", "deemed", "degree", "research"], "retrieval_tags": [], "source_text": "University of Malaya Regulations (Master's Degree) 2019\n(i) Attend and pass a Research Methodology Course — WOX7001 (three (3) credits) not\nlater than the second semester of candidature\n(ii) Candidates may be imposed to enroll in other courses and obtain satisfactory results\ndeemed necessary by the Faculty.\n5. Determination of Research Area\nDetermining the research area shall be done upon the candidate’s admission into the\nprogramme.", "retrieval_text": "Title: Master of Computer Science (By Research) - Programme Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Programme Requirements\n\nCanonical questions:\n- What are the programme requirements for Master of Computer Science (By Research)?\n- What admission background or entry qualifications are described for Master of Computer Science (By Research)?\n- What research-oriented expectations or study mode are described for Master of Computer Science (By Research)?\n\nSource chunk text:\nUniversity of Malaya Regulations (Master's Degree) 2019\n(i) Attend and pass a Research Methodology Course — WOX7001 (three (3) credits) not\nlater than the second semester of candidature\n(ii) Candidates may be imposed to enroll in other courses and obtain satisfactory results\ndeemed necessary by the Faculty.\n5. Determination of Research Area\nDetermining the research area shall be done upon the candidate’s admission into the\nprogramme.\n\nKeywords: admission, area, attend, candidate, candidates, candidature, course, courses, credits, deemed, degree, research"}
+{"kb_id": "RAGKB-0504", "knowledge_group_id": "KG-0039", "source_chunk_id": "SC-00504", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Learning Objectives and Outcomes", "title": "Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 1", "pages": [114], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 6, "linked_index_ids": ["UMI-0043", "UMI-0252"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?"], "chunk_question_variants": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?", "Could you list the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "BTW, what are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "Could you tell me what graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?", "Quick one: what graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000043", "qa_000252", "qa_000480", "qa_000481", "qa_000798", "qa_000799"], "grounded_answer_bank": ["The programme educational objectives are to produce researchers who contribute to computer science knowledge, produce professionals in computer science research, and equip graduates with both technical and soft skills. The learning outcomes then emphasise applying and integrating knowledge to current research issues, evaluating and analysing computing solutions, producing solutions and analysing their performance, using research techniques to acquire and develop knowledge, communicating and working in groups effectively, publishing and presenting technical material, and demonstrating ethical and professionally responsible behaviour.", "The learning objectives and outcomes highlight the ability to apply and integrate knowledge of current computer science research issues, evaluate and analyse computing solutions, develop and assess research outcomes, use appropriate research methods to acquire and extend knowledge, communicate and publish technical work effectively, work independently and in groups, and demonstrate ethical and professionally responsible research conduct."], "retrieval_keywords": ["Master of Computer Science (By Research)", "acquire", "apply", "computing", "knowledge", "learning", "learning objectives", "learning outcomes", "objectives", "outcomes", "plos", "produce", "research", "research capabilities", "solutions", "technical"], "retrieval_tags": ["learning_objectives_and_outcomes", "master_of_computer_science_by_research", "postgraduate"], "source_text": "PROGRAMME LEARNING\nOBJECTIVES & OUTCOMES\nSS\nPROGRAMME EDUCATIONAL OBJECTIVES (PEO)\n4. To produce researchers who can contribute to the development and knowledge of computer science\n2. To produce professionals in computer science research\n3. To equip graduates with technical and soft skills\nPROGRAMME LEARNING OUTCOMES (PLO)\nTaxonomic\nNo. Programme Learning Outcomes PLOs Gubecte\n1. [Apply and integrate knowledge on the latest research issues |p) Gy 3S\nin computer science and produce state-of-the-art research.\n2. [Evaluate and analyse computing solutions in terms of re Pp\nusability, efficiency and effectiveness\n3. [Produce computing solutions and use appropriate tools to\nlanalyse the performance of such solutions in meeting the PLOS Pp\nIneeds of society\n4 [Apply existing research techniques to acquire, interpretand |p, og =\nJdevelop knowledge in computing\n5._[Communicate and work in groups effectively PLOS AP,\n6. Provides, publishes and presents technical materials to a — Pp\nlwice audience\n7. [Demonstrate consistent behaviour with a code of ethics and", "retrieval_text": "Title: Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Learning Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n\nQuestion variants:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n- Could you list the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- BTW, what are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- Could you tell me what graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n- Quick one: what graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- The programme educational objectives are to produce researchers who contribute to computer science knowledge, produce professionals in computer science research, and equip graduates with both technical and soft skills. The learning outcomes then emphasise applying and integrating knowledge to current research issues, evaluating and analysing computing solutions, producing solutions and analysing their performance, using research techniques to acquire and develop knowledge, communicating and working in groups effectively, publishing and presenting technical material, and demonstrating ethical and professionally responsible behaviour.\n- The learning objectives and outcomes highlight the ability to apply and integrate knowledge of current computer science research issues, evaluate and analyse computing solutions, develop and assess research outcomes, use appropriate research methods to acquire and extend knowledge, communicate and publish technical work effectively, work independently and in groups, and demonstrate ethical and professionally responsible research conduct.\n\nSource chunk text:\nPROGRAMME LEARNING\nOBJECTIVES & OUTCOMES\nSS\nPROGRAMME EDUCATIONAL OBJECTIVES (PEO)\n4. To produce researchers who can contribute to the development and knowledge of computer science\n2. To produce professionals in computer science research\n3. To equip graduates with technical and soft skills\nPROGRAMME LEARNING OUTCOMES (PLO)\nTaxonomic\nNo. Programme Learning Outcomes PLOs Gubecte\n1. [Apply and integrate knowledge on the latest research issues |p) Gy 3S\nin computer science and produce state-of-the-art research.\n2. [Evaluate and analyse computing solutions in terms of re Pp\nusability, efficiency and effectiveness\n3. [Produce computing solutions and use appropriate tools to\nlanalyse the performance of such solutions in meeting the PLOS Pp\nIneeds of society\n4 [Apply existing research techniques to acquire, interpretand |p, og =\nJdevelop knowledge in computing\n5._[Communicate and work in groups effectively PLOS AP,\n6. Provides, publishes and presents technical materials to a — Pp\nlwice audience\n7. [Demonstrate consistent behaviour with a code of ethics and\n\nKeywords: Master of Computer Science (By Research), acquire, apply, computing, knowledge, learning, learning objectives, learning outcomes, objectives, outcomes, plos, produce, research, research capabilities, solutions, technical"}
+{"kb_id": "RAGKB-0505", "knowledge_group_id": "KG-0039", "source_chunk_id": "SC-00505", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Learning Objectives and Outcomes", "title": "Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 2", "pages": [114], "chunk_index": 2, "group_size_chunks": 3, "group_size_qas": 6, "linked_index_ids": ["UMI-0043", "UMI-0252"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["accordance", "acquire", "alll", "apply", "domains", "knowledge", "learning", "list", "outcomes", "plot", "professional", "responsibility"], "retrieval_tags": [], "source_text": "professional responsibility to acquire information and apply PLOT A\nknowledge at alll times\n(List of 11 domains of learning outcomes in accordance with the MF program.)", "retrieval_text": "Title: Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Learning Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n\nSource chunk text:\nprofessional responsibility to acquire information and apply PLOT A\nknowledge at alll times\n(List of 11 domains of learning outcomes in accordance with the MF program.)\n\nKeywords: accordance, acquire, alll, apply, domains, knowledge, learning, list, outcomes, plot, professional, responsibility"}
+{"kb_id": "RAGKB-0506", "knowledge_group_id": "KG-0039", "source_chunk_id": "SC-00506", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Learning Objectives and Outcomes", "title": "Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 3", "pages": [115], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 6, "linked_index_ids": ["UMI-0043", "UMI-0252"], "group_canonical_questions": ["What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?", "What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affective", "autonomy", "category", "cognitive", "communication", "domain", "notes", "plo", "plo1", "plos", "reference", "skills"], "retrieval_tags": [], "source_text": "MATRIX OF MAPPING PLO TO PEO\n66 = PEO1 PEO2 PEO3\nPLO1 x |\nx\nx\nx\nPLOS x x\nPLOG x\nPLOT\nReference notes:\nThe Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO Domain\nPLO1 —_ Knowledge and Understanding\nPLO2 Numeracy Skills\nPLO3 Practical Skills, Digital Skills\nPLO4 = Cognitive Skills\nPLOS _ Interpersonal Skills, Communication Skills\nPLO6 _ Leadership, Autonomy and Responsibility\nPLO7 Ethics and Professionalism\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor", "retrieval_text": "Title: Master of Computer Science (By Research) - Learning Objectives and Outcomes - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Learning Objectives and Outcomes\n\nCanonical questions:\n- What are the programme goals, objectives, or learning outcomes for Master of Computer Science (By Research)?\n- What graduate or research capabilities are highlighted in the learning objectives and outcomes for Master of Computer Science (By Research)?\n\nSource chunk text:\nMATRIX OF MAPPING PLO TO PEO\n66 = PEO1 PEO2 PEO3\nPLO1 x |\nx\nx\nx\nPLOS x x\nPLOG x\nPLOT\nReference notes:\nThe Domain of the MQF in Programme Learning Outcomes program (PLO)\nPO Domain\nPLO1 —_ Knowledge and Understanding\nPLO2 Numeracy Skills\nPLO3 Practical Skills, Digital Skills\nPLO4 = Cognitive Skills\nPLOS _ Interpersonal Skills, Communication Skills\nPLO6 _ Leadership, Autonomy and Responsibility\nPLO7 Ethics and Professionalism\nReference notes:\nTaxonomic Category\nK Cognitive\nA Affective\nP Psychomotor\n\nKeywords: affective, autonomy, category, cognitive, communication, domain, notes, plo, plo1, plos, reference, skills"}
+{"kb_id": "RAGKB-0507", "knowledge_group_id": "KG-0037", "source_chunk_id": "SC-00507", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Candidature Requirements", "title": "Master of Computer Science (By Research) - Candidature Requirements - chunk 1", "pages": [116], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 5, "linked_index_ids": ["UMI-0044", "UMI-0253"], "group_canonical_questions": ["What are the candidature requirements for Master of Computer Science (By Research)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?"], "chunk_question_variants": ["What are the candidature requirements for Master of Computer Science (By Research)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?", "Could you list the candidature requirements for Master of Computer Science (By Research)?", "Ngl, what are the candidature requirements for Master of Computer Science (By Research)?", "Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000044", "qa_000253", "qa_000482", "qa_000483", "qa_000800"], "grounded_answer_bank": ["The candidature requirements for Master of Computer Science (By Research) include a minimum candidature of two semesters, fulfilment of the university language requirements for international candidates, completion of the Research Methodology course, presentation at Proposal Defence and Candidature Defence, and fulfilment of the publication requirement before graduation."], "retrieval_keywords": ["Master of Computer Science (By Research)", "according", "before", "candidate", "candidature", "candidature requirements", "defence", "fulfil", "graduation", "language", "publication", "requirement", "requirements", "research"], "retrieval_tags": ["candidature_requirements", "master_of_computer_science_by_research", "postgraduate"], "source_text": "CANDIDATURE\nREQUIREMENTS\nMaster of Computer Science (Master by Research)\nNo Requirement\n1. | Fulfil the minimum candidature of two (2) semesters\n2. _ | Fulfil the University language requirement-Bahasa Malaysia (International Candidate)\nFulfil the University language requirement-English Language (International Candidate)\nResearch Methodology Course\nPresent research proposal at Proposal Defence\nPresent research progress at Candidature Defence\nFulfil the publication requirement according to the oriteria set in the publication guidelines\nbefore graduation.\n‘Show proof of acceptance for publication of at least one (1) arficle in journals indexed by\ng, _ | Thomson Reuters Web of Science (WOS) (according to the criteria set in the publication\nguidelines), before graduation “and fulfil the residential requirement for at least one (1)\nsemester\n~ Jolla] o\nThe candidates must fulfil the following publication requirements before the Examination\nCommittee (Board) meeting:\nPublication Requirements\n‘* Masters Degree Candidate pursuing a programme in the field of Science must show proof of", "retrieval_text": "Title: Master of Computer Science (By Research) - Candidature Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Master of Computer Science (By Research)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?\n\nQuestion variants:\n- What are the candidature requirements for Master of Computer Science (By Research)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?\n- Could you list the candidature requirements for Master of Computer Science (By Research)?\n- Ngl, what are the candidature requirements for Master of Computer Science (By Research)?\n- Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- The candidature requirements for Master of Computer Science (By Research) include a minimum candidature of two semesters, fulfilment of the university language requirements for international candidates, completion of the Research Methodology course, presentation at Proposal Defence and Candidature Defence, and fulfilment of the publication requirement before graduation.\n\nSource chunk text:\nCANDIDATURE\nREQUIREMENTS\nMaster of Computer Science (Master by Research)\nNo Requirement\n1. | Fulfil the minimum candidature of two (2) semesters\n2. _ | Fulfil the University language requirement-Bahasa Malaysia (International Candidate)\nFulfil the University language requirement-English Language (International Candidate)\nResearch Methodology Course\nPresent research proposal at Proposal Defence\nPresent research progress at Candidature Defence\nFulfil the publication requirement according to the oriteria set in the publication guidelines\nbefore graduation.\n‘Show proof of acceptance for publication of at least one (1) arficle in journals indexed by\ng, _ | Thomson Reuters Web of Science (WOS) (according to the criteria set in the publication\nguidelines), before graduation “and fulfil the residential requirement for at least one (1)\nsemester\n~ Jolla] o\nThe candidates must fulfil the following publication requirements before the Examination\nCommittee (Board) meeting:\nPublication Requirements\n‘* Masters Degree Candidate pursuing a programme in the field of Science must show proof of\n\nKeywords: Master of Computer Science (By Research), according, before, candidate, candidature, candidature requirements, defence, fulfil, graduation, language, publication, requirement, requirements, research"}
+{"kb_id": "RAGKB-0508", "knowledge_group_id": "KG-0037", "source_chunk_id": "SC-00508", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Candidature Requirements", "title": "Master of Computer Science (By Research) - Candidature Requirements - chunk 2", "pages": [116], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 5, "linked_index_ids": ["UMI-0044", "UMI-0253"], "group_canonical_questions": ["What are the candidature requirements for Master of Computer Science (By Research)?", "What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acceptance", "before", "committee", "examiners", "isi", "journals", "least", "meeting", "one", "paper", "publication", "wos"], "retrieval_tags": [], "source_text": "acceptance of publication for at least one (1) paper in ISI (WoS) Journals before a Committee of\nExaminers meeting", "retrieval_text": "Title: Master of Computer Science (By Research) - Candidature Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Master of Computer Science (By Research)?\n- What academic or administrative conditions are highlighted under candidature requirements for Master of Computer Science (By Research)?\n\nSource chunk text:\nacceptance of publication for at least one (1) paper in ISI (WoS) Journals before a Committee of\nExaminers meeting\n\nKeywords: acceptance, before, committee, examiners, isi, journals, least, meeting, one, paper, publication, wos"}
+{"kb_id": "RAGKB-0509", "knowledge_group_id": "KG-0038", "source_chunk_id": "SC-00509", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Computer Science (By Research) - Graduate on Time (GOT) Schedule - chunk 1", "pages": [117], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 6, "linked_index_ids": ["UMI-0045", "UMI-0254"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Computer Science (By Research)?", "What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?"], "chunk_question_variants": ["What is the Graduate on Time schedule for Master of Computer Science (By Research)?", "What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?", "Could you explain the Graduate on Time schedule for Master of Computer Science (By Research)?", "So basically, what's the Graduate on Time schedule for Master of Computer Science (By Research)?", "Could you tell me what major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?", "Ngl, what major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000045", "qa_000254", "qa_000484", "qa_000485", "qa_000801", "qa_000802"], "grounded_answer_bank": ["A Graduate on Time schedule for Master of Computer Science (By Research) that maps the expected semester-by-semester milestones, including coursework progression, proposal or dissertation stages where relevant, and the expected outputs for timely completion.", "The Graduate on Time schedule for Master of Computer Science (By Research) lays out the expected semester-by-semester milestones for timely completion, including candidature progression, research-related stages, and expected outputs where applicable."], "retrieval_keywords": ["GOT schedule", "Master of Computer Science (By Research)", "analysis", "attend", "candidature", "chapters", "completed", "course", "data", "defence", "milestones", "proposal", "publication", "research", "submission"], "retrieval_tags": ["graduate_on_time_got_schedule", "master_of_computer_science_by_research", "postgraduate"], "source_text": "GRADUATE ON TIME (G0T)\nSCHEDULE\n-——_ Se\n‘Semester Activities Output/Milestone ‘Comments\n1 © Meet the supervisor\nAttend Research Methodology Course\n'* Attend Bahasa Melayu course\"\nTopic Confirmation\n'* Familiarisation with and use of EndNote, Tumitin, | 6 Completed Research Methodology course\n‘editing software, data analysis and research tools.\n‘© Fufflment of language requirements\n© Conduct Literature Review\n‘© Presented research proposal\n'* Proposal Defence preparation and drafting (writing\n‘proposal and prepare slides)\n‘© Proposal Defence\n'* Prepare for Publication 1\n‘© Ethics Approval (f applicable)\nProgress Report Submission\n2 ‘© Proposal Refinement based on feedback\n'* Expand research proposal to drafts of chapters 1\n283 ‘© Completed outine of dissertation\n# Conduct pilot study’ planning & setting up of ‘© Submission of Publication 1\n‘experiment start data collection ‘© Completed Candidature Defence\n© Start Development\n© Begin data analysis\n‘© Propare and present Candidature Defence\n© Submit Publication 1\nProgress Report Submission\n3 # Finalsed all chapters", "retrieval_text": "Title: Master of Computer Science (By Research) - Graduate on Time (GOT) Schedule - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Computer Science (By Research)?\n- What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?\n\nQuestion variants:\n- What is the Graduate on Time schedule for Master of Computer Science (By Research)?\n- What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?\n- Could you explain the Graduate on Time schedule for Master of Computer Science (By Research)?\n- So basically, what's the Graduate on Time schedule for Master of Computer Science (By Research)?\n- Could you tell me what major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?\n- Ngl, what major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- A Graduate on Time schedule for Master of Computer Science (By Research) that maps the expected semester-by-semester milestones, including coursework progression, proposal or dissertation stages where relevant, and the expected outputs for timely completion.\n- The Graduate on Time schedule for Master of Computer Science (By Research) lays out the expected semester-by-semester milestones for timely completion, including candidature progression, research-related stages, and expected outputs where applicable.\n\nSource chunk text:\nGRADUATE ON TIME (G0T)\nSCHEDULE\n-——_ Se\n‘Semester Activities Output/Milestone ‘Comments\n1 © Meet the supervisor\nAttend Research Methodology Course\n'* Attend Bahasa Melayu course\"\nTopic Confirmation\n'* Familiarisation with and use of EndNote, Tumitin, | 6 Completed Research Methodology course\n‘editing software, data analysis and research tools.\n‘© Fufflment of language requirements\n© Conduct Literature Review\n‘© Presented research proposal\n'* Proposal Defence preparation and drafting (writing\n‘proposal and prepare slides)\n‘© Proposal Defence\n'* Prepare for Publication 1\n‘© Ethics Approval (f applicable)\nProgress Report Submission\n2 ‘© Proposal Refinement based on feedback\n'* Expand research proposal to drafts of chapters 1\n283 ‘© Completed outine of dissertation\n# Conduct pilot study’ planning & setting up of ‘© Submission of Publication 1\n‘experiment start data collection ‘© Completed Candidature Defence\n© Start Development\n© Begin data analysis\n‘© Propare and present Candidature Defence\n© Submit Publication 1\nProgress Report Submission\n3 # Finalsed all chapters\n\nKeywords: GOT schedule, Master of Computer Science (By Research), analysis, attend, candidature, chapters, completed, course, data, defence, milestones, proposal, publication, research, submission"}
+{"kb_id": "RAGKB-0510", "knowledge_group_id": "KG-0038", "source_chunk_id": "SC-00510", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Graduate on Time (GOT) Schedule", "title": "Master of Computer Science (By Research) - Graduate on Time (GOT) Schedule - chunk 2", "pages": [117], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 6, "linked_index_ids": ["UMI-0045", "UMI-0254"], "group_canonical_questions": ["What is the Graduate on Time schedule for Master of Computer Science (By Research)?", "What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["all", "applicable", "appointed", "candidates", "dissertation", "examiner", "improve", "internal", "international", "member", "panel", "submission"], "retrieval_tags": [], "source_text": "# Review with supervisors) © Completed all chapters\nPaper Publication outcome (Correct paper and . -*\npores merr Submission of dissertation\n© Dissertation Submission\n'* Progress Report Submission\n* ‘© Dissertation correction (based on internal and '® Outcome of Committ\n‘external examiner)\nof Examiners\n© Received Senate letter.\n© Journal acceptance\nNotes:\nMonitoring Panel\n1, Chairman & 1 member who is an expert in the field and a supervisor. A fourth member is allowed to be appointed if necessary.\n2. The same panel should follow through with the proposal presentation and Candidature Defense.\n3. tis strongly recommended that one member be appointed as an internal examiner.\n4. The primary responsibilities of the panel should include the following:\n- Advise the student to improve the research proposal,\n- Monitor the progress of the student\n- Improve the research plan.\n* Applicable to all international candidates.\n** Applicable to international candidates writing their dissertation in languages other than English.", "retrieval_text": "Title: Master of Computer Science (By Research) - Graduate on Time (GOT) Schedule - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the Graduate on Time schedule for Master of Computer Science (By Research)?\n- What major milestones appear in the Graduate on Time schedule for Master of Computer Science (By Research)?\n\nSource chunk text:\n# Review with supervisors) © Completed all chapters\nPaper Publication outcome (Correct paper and . -*\npores merr Submission of dissertation\n© Dissertation Submission\n'* Progress Report Submission\n* ‘© Dissertation correction (based on internal and '® Outcome of Committ\n‘external examiner)\nof Examiners\n© Received Senate letter.\n© Journal acceptance\nNotes:\nMonitoring Panel\n1, Chairman & 1 member who is an expert in the field and a supervisor. A fourth member is allowed to be appointed if necessary.\n2. The same panel should follow through with the proposal presentation and Candidature Defense.\n3. tis strongly recommended that one member be appointed as an internal examiner.\n4. The primary responsibilities of the panel should include the following:\n- Advise the student to improve the research proposal,\n- Monitor the progress of the student\n- Improve the research plan.\n* Applicable to all international candidates.\n** Applicable to international candidates writing their dissertation in languages other than English.\n\nKeywords: all, applicable, appointed, candidates, dissertation, examiner, improve, internal, international, member, panel, submission"}
+{"kb_id": "RAGKB-0511", "knowledge_group_id": "KG-0041", "source_chunk_id": "SC-00511", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Research Methodology / Course Contents", "title": "Master of Computer Science (By Research) - Research Methodology / Course Contents - chunk 1", "pages": [118], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 0, "linked_index_ids": [], "group_canonical_questions": [], "chunk_question_variants": ["Could you tell me what research methodology content is mentioned for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000803"], "grounded_answer_bank": ["The research methodology content for the Master of Computer Science by Research includes WOX7001 Research Methodology and a dissertation component. Research Methodology covers review of literature, problem statements, research questions and objectives, method selection, research planning and management, research tools, data analysis, and writing and presentation strategies. The dissertation is the core of the programme and requires independent supervised research in a chosen computer science area, with milestones such as proposal defence, candidature defence, and dissertation submission."], "retrieval_keywords": ["Master of Computer Science (By Research)", "able", "analysis", "answering", "approach", "appropriate", "areas", "assessment", "attitude", "carried", "course", "course content", "questions", "research", "research methodology"], "retrieval_tags": ["master_of_computer_science_by_research", "postgraduate", "research_methodology_content"], "source_text": "LIST OF COURSES &\nCONTENTS\noo Ss +2\nWOX7001 —_- Research Methodology\nCourse Learning Outcomes\n‘At the end of the course, students are able to\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a pan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer science\nand information technology research\n‘Synopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statements, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment 100%\nFinal Examination 1 0%\nWOX7002 _ Dissertation", "retrieval_text": "Title: Master of Computer Science (By Research) - Research Methodology / Course Contents - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Research Methodology / Course Contents\n\nQuestion variants:\n- Could you tell me what research methodology content is mentioned for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- The research methodology content for the Master of Computer Science by Research includes WOX7001 Research Methodology and a dissertation component. Research Methodology covers review of literature, problem statements, research questions and objectives, method selection, research planning and management, research tools, data analysis, and writing and presentation strategies. The dissertation is the core of the programme and requires independent supervised research in a chosen computer science area, with milestones such as proposal defence, candidature defence, and dissertation submission.\n\nSource chunk text:\nLIST OF COURSES &\nCONTENTS\noo Ss +2\nWOX7001 —_- Research Methodology\nCourse Learning Outcomes\n‘At the end of the course, students are able to\n1. Describe appropriate methodologies used in computer science and information technology\nresearch.\n2. Devise a pan to be carried out within a feasible duration for answering research problems and\nquestions identified.\n3. Demonstrate attitude and character in line with professional and ethical codes in computer science\nand information technology research\n‘Synopsis of Course Content\nThis course gives an overview of the dimensions of research in computer science and information\ntechnology. Major considerations and tasks in conducting research in the areas such as review of\nliterature, identify problem statements, formulate research questions and objectives, select an\nappropriate approach or method to the research, plan and manage the research, tools for research,\ndata analysis, and writing and presentation strategies, will be discussed too.\nEvaluation and Weightage\nContinuous Assessment 100%\nFinal Examination 1 0%\nWOX7002 _ Dissertation\n\nKeywords: Master of Computer Science (By Research), able, analysis, answering, approach, appropriate, areas, assessment, attitude, carried, course, course content, questions, research, research methodology"}
+{"kb_id": "RAGKB-0512", "knowledge_group_id": "KG-0041", "source_chunk_id": "SC-00512", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Master of Computer Science (By Research)", "subsection": "Research Methodology / Course Contents", "title": "Master of Computer Science (By Research) - Research Methodology / Course Contents - chunk 2", "pages": [118], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 0, "linked_index_ids": [], "group_canonical_questions": [], "chunk_question_variants": ["What research methodology content is mentioned for Master of Computer Science (By Research)?"], "matched_qa_ids": ["qa_000255"], "grounded_answer_bank": ["The research methodology content for the Master of Computer Science by Research includes WOX7001 Research Methodology and a dissertation component. Research Methodology covers review of literature, problem statements, research questions and objectives, method selection, research planning and management, research tools, data analysis, and writing and presentation strategies. The dissertation is the core of the programme and requires independent supervised research in a chosen computer science area, with milestones such as proposal defence, candidature defence, and dissertation submission."], "retrieval_keywords": ["Master of Computer Science (By Research)", "ability", "apply", "area", "candidature", "careers", "chosen", "conduct", "content", "course content", "defence", "dissertation", "proposal", "research", "research methodology"], "retrieval_tags": ["master_of_computer_science_by_research", "postgraduate", "research_methodology_content"], "source_text": "‘Synopsis of Course Content\nThe dissertation is the core of the Master of Computer Science by Research, where students conduct\nindependent research under supervision in a chosen area of computer soience. Through milestones\nsuch as proposal defence, candidature defence, and thesis submission, students demonstrate theit\nability to solve research problems, apply suitable methodologies, and contribute original findings.\nEmphasis is placed on scholarly writing, publication, and the development of critical thinking and\nresearch skills, preparing graduates for doctoral studies or research-oriented careers.\nEvaluation\nProposal Defence\nCandidature Defence\nDissertation Report", "retrieval_text": "Title: Master of Computer Science (By Research) - Research Methodology / Course Contents - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Master of Computer Science (By Research)\n\nSubsection: Research Methodology / Course Contents\n\nQuestion variants:\n- What research methodology content is mentioned for Master of Computer Science (By Research)?\n\nGrounded answer bank:\n- The research methodology content for the Master of Computer Science by Research includes WOX7001 Research Methodology and a dissertation component. Research Methodology covers review of literature, problem statements, research questions and objectives, method selection, research planning and management, research tools, data analysis, and writing and presentation strategies. The dissertation is the core of the programme and requires independent supervised research in a chosen computer science area, with milestones such as proposal defence, candidature defence, and dissertation submission.\n\nSource chunk text:\n‘Synopsis of Course Content\nThe dissertation is the core of the Master of Computer Science by Research, where students conduct\nindependent research under supervision in a chosen area of computer soience. Through milestones\nsuch as proposal defence, candidature defence, and thesis submission, students demonstrate theit\nability to solve research problems, apply suitable methodologies, and contribute original findings.\nEmphasis is placed on scholarly writing, publication, and the development of critical thinking and\nresearch skills, preparing graduates for doctoral studies or research-oriented careers.\nEvaluation\nProposal Defence\nCandidature Defence\nDissertation Report\n\nKeywords: Master of Computer Science (By Research), ability, apply, area, candidature, careers, chosen, conduct, content, course content, defence, dissertation, proposal, research, research methodology"}
+{"kb_id": "RAGKB-0513", "knowledge_group_id": "KG-0017", "source_chunk_id": "SC-00513", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Advanced Research Methods Course Content", "title": "Doctor of Philosophy - Advanced Research Methods Course Content - chunk 1", "pages": [120], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 0, "linked_index_ids": [], "group_canonical_questions": [], "chunk_question_variants": ["What advanced research methods content is described for Doctor of Philosophy candidates?", "Could you tell me what advanced research methods content is described for Doctor of Philosophy candidates?", "Quick check: what advanced research methods content is described for Doctor of Philosophy candidates?"], "matched_qa_ids": ["qa_000256", "qa_000804", "qa_000805"], "grounded_answer_bank": ["The course content for Doctor of Philosophy candidates includes WVX8001 Advanced Research Methods in Computer Science and Information Technology. It covers epistemological issues in research, approaches and issues in conducting computer science and IT research, advanced research designs, appropriate statistical techniques, and preparation of a viable doctoral-level proposal. The synopsis also mentions experimental research, survey research, grounded theory, phenomenological research, case studies, action research, the role of statistics in research, and the preparation of a research proposal."], "retrieval_keywords": ["Doctor of Philosophy", "able", "action", "advanced", "advanced research methods", "apply", "approaches", "appropriate", "aspects", "conducting", "content", "course", "issues", "research"], "retrieval_tags": ["advanced_research_methods_content", "doctor_of_philosophy", "postgraduate"], "source_text": "COURSE CONTENT\n‘WVX8001 Advanced Research Methods in Computer Science and Information\nTechnology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n14. Describe the epistemological issues underlying research in computer science and information\ntechnology.\n2. Explain the approaches and issues involved in conducting research in computer science and\ninformation technology.\n3. Employ appropriate advanced research designs when conducting computer science and information\ntechnology research\n4. Apply appropriate statistical techniques when conducting computer science and information\ntechnology research.\n5. Prepare a viable doctoral level proposal for a research degree in computer science and information\ntechnology.\n‘Synopsis of Course Content\nThis course covers the scope, types, basic skills and methodological aspects of computer science and\ninformation technology research. Topics include design of experimental research, survey research,\ngrounded theory and phenomenological research, case study, action research, role of statistics in", "retrieval_text": "Title: Doctor of Philosophy - Advanced Research Methods Course Content - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Advanced Research Methods Course Content\n\nQuestion variants:\n- What advanced research methods content is described for Doctor of Philosophy candidates?\n- Could you tell me what advanced research methods content is described for Doctor of Philosophy candidates?\n- Quick check: what advanced research methods content is described for Doctor of Philosophy candidates?\n\nGrounded answer bank:\n- The course content for Doctor of Philosophy candidates includes WVX8001 Advanced Research Methods in Computer Science and Information Technology. It covers epistemological issues in research, approaches and issues in conducting computer science and IT research, advanced research designs, appropriate statistical techniques, and preparation of a viable doctoral-level proposal. The synopsis also mentions experimental research, survey research, grounded theory, phenomenological research, case studies, action research, the role of statistics in research, and the preparation of a research proposal.\n\nSource chunk text:\nCOURSE CONTENT\n‘WVX8001 Advanced Research Methods in Computer Science and Information\nTechnology\nCourse Learning Outcomes\nAt the end of the course, students are able to:\n14. Describe the epistemological issues underlying research in computer science and information\ntechnology.\n2. Explain the approaches and issues involved in conducting research in computer science and\ninformation technology.\n3. Employ appropriate advanced research designs when conducting computer science and information\ntechnology research\n4. Apply appropriate statistical techniques when conducting computer science and information\ntechnology research.\n5. Prepare a viable doctoral level proposal for a research degree in computer science and information\ntechnology.\n‘Synopsis of Course Content\nThis course covers the scope, types, basic skills and methodological aspects of computer science and\ninformation technology research. Topics include design of experimental research, survey research,\ngrounded theory and phenomenological research, case study, action research, role of statistics in\n\nKeywords: Doctor of Philosophy, able, action, advanced, advanced research methods, apply, approaches, appropriate, aspects, conducting, content, course, issues, research"}
+{"kb_id": "RAGKB-0514", "knowledge_group_id": "KG-0017", "source_chunk_id": "SC-00514", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Advanced Research Methods Course Content", "title": "Doctor of Philosophy - Advanced Research Methods Course Content - chunk 2", "pages": [120], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 0, "linked_index_ids": [], "group_canonical_questions": [], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["art", "assessment", "continuous", "evaluation", "examination", "final", "preparing", "proposal", "research", "thesis", "weightage", "wvx8002"], "retrieval_tags": [], "source_text": "research and art of preparing a research proposal\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nwvx8002 —- Thesis.", "retrieval_text": "Title: Doctor of Philosophy - Advanced Research Methods Course Content - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Advanced Research Methods Course Content\n\nSource chunk text:\nresearch and art of preparing a research proposal\nEvaluation and Weightage\nContinuous Assessment : 100%\nFinal Examination : 0%\nwvx8002 —- Thesis.\n\nKeywords: art, assessment, continuous, evaluation, examination, final, preparing, proposal, research, thesis, weightage, wvx8002"}
+{"kb_id": "RAGKB-0515", "knowledge_group_id": "KG-0021", "source_chunk_id": "SC-00515", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Programme Education Objectives", "title": "Doctor of Philosophy - Programme Education Objectives - chunk 1", "pages": [121], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 5, "linked_index_ids": ["UMI-0046", "UMI-0257"], "group_canonical_questions": ["What are the programme education objectives for Doctor of Philosophy?", "What research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?"], "chunk_question_variants": ["What are the programme education objectives for Doctor of Philosophy?", "What research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?", "Could you list the programme education objectives for Doctor of Philosophy?", "Quick check: what are the programme education objectives for Doctor of Philosophy?", "Could you tell me what research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?"], "matched_qa_ids": ["qa_000046", "qa_000257", "qa_000486", "qa_000487", "qa_000806"], "grounded_answer_bank": ["The programme education objectives for Doctor of Philosophy include fostering innovation in new ideas, methods, and techniques in relevant research fields.", "The Doctor of Philosophy programme education objectives are to foster innovation in new ideas, methods, and techniques in relevant research fields; lead research and build a career as a skilled researcher and/or practitioner; and disseminate research output while providing expert advice through appropriate mechanisms in an ethical and professional manner."], "retrieval_keywords": ["Doctor of Philosophy", "advice", "and/or", "career", "disseminate", "education", "establish", "ethical", "expert", "fields", "foster", "peo", "programme education objectives", "research"], "retrieval_tags": ["doctor_of_philosophy", "postgraduate", "programme_education_objectives"], "source_text": "PROGRAMME EDUCATION\nOBJETIVES\noe\nPEO 1:\nFoster innovation of new ideas, methods and techniques in relevant research fields\nPEO 2:\nLead research and establish a career as a skilled researcher and/or practitioner\nPEO 3.\nDisseminate research output and provide expert advice through various mechanisms in an\nethical and professional manner", "retrieval_text": "Title: Doctor of Philosophy - Programme Education Objectives - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Programme Education Objectives\n\nCanonical questions:\n- What are the programme education objectives for Doctor of Philosophy?\n- What research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?\n\nQuestion variants:\n- What are the programme education objectives for Doctor of Philosophy?\n- What research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?\n- Could you list the programme education objectives for Doctor of Philosophy?\n- Quick check: what are the programme education objectives for Doctor of Philosophy?\n- Could you tell me what research or scholarly capabilities are emphasized in the programme education objectives for Doctor of Philosophy?\n\nGrounded answer bank:\n- The programme education objectives for Doctor of Philosophy include fostering innovation in new ideas, methods, and techniques in relevant research fields.\n- The Doctor of Philosophy programme education objectives are to foster innovation in new ideas, methods, and techniques in relevant research fields; lead research and build a career as a skilled researcher and/or practitioner; and disseminate research output while providing expert advice through appropriate mechanisms in an ethical and professional manner.\n\nSource chunk text:\nPROGRAMME EDUCATION\nOBJETIVES\noe\nPEO 1:\nFoster innovation of new ideas, methods and techniques in relevant research fields\nPEO 2:\nLead research and establish a career as a skilled researcher and/or practitioner\nPEO 3.\nDisseminate research output and provide expert advice through various mechanisms in an\nethical and professional manner\n\nKeywords: Doctor of Philosophy, advice, and/or, career, disseminate, education, establish, ethical, expert, fields, foster, peo, programme education objectives, research"}
+{"kb_id": "RAGKB-0516", "knowledge_group_id": "KG-0019", "source_chunk_id": "SC-00516", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Learning Outcomes", "title": "Doctor of Philosophy - Learning Outcomes - chunk 1", "pages": [122], "chunk_index": 1, "group_size_chunks": 1, "group_size_qas": 6, "linked_index_ids": ["UMI-0047", "UMI-0258"], "group_canonical_questions": ["What are the learning outcomes for Doctor of Philosophy?", "What research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?"], "chunk_question_variants": ["What are the learning outcomes for Doctor of Philosophy?", "What research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?", "Could you list the learning outcomes for Doctor of Philosophy?", "Real quick, what are the learning outcomes for Doctor of Philosophy?", "Could you tell me what research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?", "Hey, what research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?"], "matched_qa_ids": ["qa_000047", "qa_000258", "qa_000488", "qa_000489", "qa_000807", "qa_000808"], "grounded_answer_bank": ["The Doctor of Philosophy learning outcomes emphasise synthesising and contributing knowledge to the research field, adapting practical skills and research methodologies for innovative research, providing expert advice to relevant stakeholders, conducting independent research in line with legal, ethical, and professional codes, showing leadership through effective communication and collaboration, and critically addressing research problems using appropriate problem-solving and scientific skills."], "retrieval_keywords": ["Doctor of Philosophy", "adapt", "address", "adhere", "advice", "and/or", "appropriate", "based", "field", "learning outcomes", "research", "respective", "skills", "stakeholders"], "retrieval_tags": ["doctor_of_philosophy", "learning_outcomes", "postgraduate"], "source_text": "LEARNING OUTCOMES\nS56\nSynthesis and contribute knowledge in the respective research field.\nAdapt appropriate practical skills and research methodologies leading to innovative\nresearch.\nProvide expert advice to relevant stakeholders based on respective research output.\nConduct research independently and adhere to legal, ethical and/or professional codes of\npractice.\nDisplay leadership qualities through effective communication and collaboration with peers\nand stakeholders.\nAddress issues in the field of research critically by using appropriate problem solving and/or\nscientific skills", "retrieval_text": "Title: Doctor of Philosophy - Learning Outcomes - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Learning Outcomes\n\nCanonical questions:\n- What are the learning outcomes for Doctor of Philosophy?\n- What research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?\n\nQuestion variants:\n- What are the learning outcomes for Doctor of Philosophy?\n- What research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?\n- Could you list the learning outcomes for Doctor of Philosophy?\n- Real quick, what are the learning outcomes for Doctor of Philosophy?\n- Could you tell me what research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?\n- Hey, what research or scholarly capabilities are emphasized in the learning outcomes for Doctor of Philosophy?\n\nGrounded answer bank:\n- The Doctor of Philosophy learning outcomes emphasise synthesising and contributing knowledge to the research field, adapting practical skills and research methodologies for innovative research, providing expert advice to relevant stakeholders, conducting independent research in line with legal, ethical, and professional codes, showing leadership through effective communication and collaboration, and critically addressing research problems using appropriate problem-solving and scientific skills.\n\nSource chunk text:\nLEARNING OUTCOMES\nS56\nSynthesis and contribute knowledge in the respective research field.\nAdapt appropriate practical skills and research methodologies leading to innovative\nresearch.\nProvide expert advice to relevant stakeholders based on respective research output.\nConduct research independently and adhere to legal, ethical and/or professional codes of\npractice.\nDisplay leadership qualities through effective communication and collaboration with peers\nand stakeholders.\nAddress issues in the field of research critically by using appropriate problem solving and/or\nscientific skills\n\nKeywords: Doctor of Philosophy, adapt, address, adhere, advice, and/or, appropriate, based, field, learning outcomes, research, respective, skills, stakeholders"}
+{"kb_id": "RAGKB-0517", "knowledge_group_id": "KG-0018", "source_chunk_id": "SC-00517", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Candidature Requirements", "title": "Doctor of Philosophy - Candidature Requirements - chunk 1", "pages": [123], "chunk_index": 1, "group_size_chunks": 2, "group_size_qas": 5, "linked_index_ids": ["UMI-0048", "UMI-0259"], "group_canonical_questions": ["What are the candidature requirements for Doctor of Philosophy?", "What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?"], "chunk_question_variants": ["What are the candidature requirements for Doctor of Philosophy?", "What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?", "Could you list the candidature requirements for Doctor of Philosophy?", "Hey, what are the candidature requirements for Doctor of Philosophy?", "Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?"], "matched_qa_ids": ["qa_000048", "qa_000259", "qa_000490", "qa_000491", "qa_000809"], "grounded_answer_bank": ["The candidature requirements for Doctor of Philosophy include a minimum candidature duration of 4 semesters, together with the university's language and related candidature conditions where applicable."], "retrieval_keywords": ["Doctor of Philosophy", "candidature", "candidature requirements", "defence", "fulfil", "later", "not", "present", "requirement", "research", "second", "semester", "than", "your"], "retrieval_tags": ["candidature_requirements", "doctor_of_philosophy", "postgraduate"], "source_text": "CANDIDATURE\nREQUIREMENTS\nDoctor of Philosophy Degree:\nNo Requirement\n1. _ | Fulfil the minimum candidature duration of 4 semesters.\n2, _| Fulfthe University language requirement (Bahasa Malaysia) not later than the\n\"| second (2\"4) semester of candidature.\nFulfil the residential requirement of 6 months\nCandidates are considered have fulfiled the residential requirement if they have\n3. | completed requirements 4, 5, 6 and 7 and including the following:\n(a) Face-to-face consultation with supervisor(s) as imposed by the faculty; and/or\n(b) Participation in any faculty activities as required by the faculty.\n‘Attend at least 3 credits of Research Methodology Course not later than the second\n4, | (2nd) semester of candidature.\nPresent your research proposal at Proposal Defence not later than the second (2nd)\n5. | semester of candidature.\nPresent your research progress at Candidature Defence not later than the fifth (6th)\n6. | semester of candidature.\nPresent your research progress at Thesis Seminar before the submission of thesis\n7. | for examination.", "retrieval_text": "Title: Doctor of Philosophy - Candidature Requirements - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Doctor of Philosophy?\n- What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?\n\nQuestion variants:\n- What are the candidature requirements for Doctor of Philosophy?\n- What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?\n- Could you list the candidature requirements for Doctor of Philosophy?\n- Hey, what are the candidature requirements for Doctor of Philosophy?\n- Could you tell me what academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?\n\nGrounded answer bank:\n- The candidature requirements for Doctor of Philosophy include a minimum candidature duration of 4 semesters, together with the university's language and related candidature conditions where applicable.\n\nSource chunk text:\nCANDIDATURE\nREQUIREMENTS\nDoctor of Philosophy Degree:\nNo Requirement\n1. _ | Fulfil the minimum candidature duration of 4 semesters.\n2, _| Fulfthe University language requirement (Bahasa Malaysia) not later than the\n\"| second (2\"4) semester of candidature.\nFulfil the residential requirement of 6 months\nCandidates are considered have fulfiled the residential requirement if they have\n3. | completed requirements 4, 5, 6 and 7 and including the following:\n(a) Face-to-face consultation with supervisor(s) as imposed by the faculty; and/or\n(b) Participation in any faculty activities as required by the faculty.\n‘Attend at least 3 credits of Research Methodology Course not later than the second\n4, | (2nd) semester of candidature.\nPresent your research proposal at Proposal Defence not later than the second (2nd)\n5. | semester of candidature.\nPresent your research progress at Candidature Defence not later than the fifth (6th)\n6. | semester of candidature.\nPresent your research progress at Thesis Seminar before the submission of thesis\n7. | for examination.\n\nKeywords: Doctor of Philosophy, candidature, candidature requirements, defence, fulfil, later, not, present, requirement, research, second, semester, than, your"}
+{"kb_id": "RAGKB-0518", "knowledge_group_id": "KG-0018", "source_chunk_id": "SC-00518", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Candidature Requirements", "title": "Doctor of Philosophy - Candidature Requirements - chunk 2", "pages": [123], "chunk_index": 2, "group_size_chunks": 2, "group_size_qas": 5, "linked_index_ids": ["UMI-0048", "UMI-0259"], "group_canonical_questions": ["What are the candidature requirements for Doctor of Philosophy?", "What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["affiation", "affiliation", "and/or", "before", "board", "candidate", "candidate's", "candidates", "candidature", "must", "publication", "publications"], "retrieval_tags": [], "source_text": "The candidates must fulfil the following publication requirement before the Viva-Voce\nand the Examination Committee (Board) meeting:\n8. _ | Publication Requirements\n© Timing ~ Publications must be within the candidature of the candidate.\n© Topics of Publications — Publications must be related and conform to the\ncandidate's research in his/her thesis.\n* Affiation — Publications must carry the affiliation of the department and/or\nfaculty where the candidate is registered.", "retrieval_text": "Title: Doctor of Philosophy - Candidature Requirements - chunk 2\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Candidature Requirements\n\nCanonical questions:\n- What are the candidature requirements for Doctor of Philosophy?\n- What academic or administrative conditions are highlighted under candidature requirements for Doctor of Philosophy?\n\nSource chunk text:\nThe candidates must fulfil the following publication requirement before the Viva-Voce\nand the Examination Committee (Board) meeting:\n8. _ | Publication Requirements\n© Timing ~ Publications must be within the candidature of the candidate.\n© Topics of Publications — Publications must be related and conform to the\ncandidate's research in his/her thesis.\n* Affiation — Publications must carry the affiliation of the department and/or\nfaculty where the candidate is registered.\n\nKeywords: affiation, affiliation, and/or, before, board, candidate, candidate's, candidates, candidature, must, publication, publications"}
+{"kb_id": "RAGKB-0519", "knowledge_group_id": "KG-0022", "source_chunk_id": "SC-00519", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Proposed Graduate on Time (GOT) Schedule", "title": "Doctor of Philosophy - Proposed Graduate on Time (GOT) Schedule - chunk 1", "pages": [124], "chunk_index": 1, "group_size_chunks": 3, "group_size_qas": 6, "linked_index_ids": ["UMI-0049", "UMI-0260"], "group_canonical_questions": ["What is the proposed Graduate on Time schedule for Doctor of Philosophy?", "What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?"], "chunk_question_variants": ["What is the proposed Graduate on Time schedule for Doctor of Philosophy?", "What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?", "Could you explain the proposed Graduate on Time schedule for Doctor of Philosophy?", "Just asking, what's the proposed Graduate on Time schedule for Doctor of Philosophy?", "Could you tell me what key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?", "Low-key, what key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?"], "matched_qa_ids": ["qa_000049", "qa_000260", "qa_000492", "qa_000493", "qa_000810", "qa_000811"], "grounded_answer_bank": ["A Graduate on Time schedule for Doctor of Philosophy that maps the expected semester-by-semester milestones, including coursework progression, proposal or dissertation stages where relevant, and the expected outputs for timely completion."], "retrieval_keywords": ["Doctor of Philosophy", "GOT schedule", "analysis", "conduct", "course", "data", "defence", "existing", "milestones", "progress", "proposal", "publication", "report", "research", "submit"], "retrieval_tags": ["doctor_of_philosophy", "postgraduate", "proposed_graduate_on_time_got_schedule"], "source_text": "PROPOSED GRADUATE ON\nTIME (GOT) SCHEDULE\noe\nSemester Activities ‘Outputiilestone\n7 ‘= Met supervisor) ‘Completed Research Methodology\n‘© Tope Confirmation couse\n‘¢ Attend Research Methodology Course ‘© Fulfmert of language requirements\n‘tend Bahasa Melayu course” Preserted research proposal\n‘© Familiarization with and use of EndNote, Turnitin, editing sofware, data analysis, Submit Progress report\n‘and research tools\n'¢ Conduct Literature Review\n‘* Proposal Defence preparation and drafting (wating proposal and preparing slides)\n‘© Proposal Defence\n‘¢ Prepare for Publication 1\n‘© Ethics Approval if applicable)\n‘© Progress report submission\nz ‘> Refine proposal based on feedback = Workable prototype existing\n‘© Conduct pot study / pian and set up experiment /start data collection methods\n‘© Stat development ‘© Generate preliminary resuits\n‘8 Reproduce existing methods ‘© Suamission of Publication 1 (review\n‘Begin data analysis paper / experimertal design)\n‘© Prepare for Candidature Defence ‘© Submit Progress report\n‘© Submit Publication 1\nProgress report submission", "retrieval_text": "Title: Doctor of Philosophy - Proposed Graduate on Time (GOT) Schedule - chunk 1\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Proposed Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the proposed Graduate on Time schedule for Doctor of Philosophy?\n- What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?\n\nQuestion variants:\n- What is the proposed Graduate on Time schedule for Doctor of Philosophy?\n- What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?\n- Could you explain the proposed Graduate on Time schedule for Doctor of Philosophy?\n- Just asking, what's the proposed Graduate on Time schedule for Doctor of Philosophy?\n- Could you tell me what key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?\n- Low-key, what key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?\n\nGrounded answer bank:\n- A Graduate on Time schedule for Doctor of Philosophy that maps the expected semester-by-semester milestones, including coursework progression, proposal or dissertation stages where relevant, and the expected outputs for timely completion.\n\nSource chunk text:\nPROPOSED GRADUATE ON\nTIME (GOT) SCHEDULE\noe\nSemester Activities ‘Outputiilestone\n7 ‘= Met supervisor) ‘Completed Research Methodology\n‘© Tope Confirmation couse\n‘¢ Attend Research Methodology Course ‘© Fulfmert of language requirements\n‘tend Bahasa Melayu course” Preserted research proposal\n‘© Familiarization with and use of EndNote, Turnitin, editing sofware, data analysis, Submit Progress report\n‘and research tools\n'¢ Conduct Literature Review\n‘* Proposal Defence preparation and drafting (wating proposal and preparing slides)\n‘© Proposal Defence\n‘¢ Prepare for Publication 1\n‘© Ethics Approval if applicable)\n‘© Progress report submission\nz ‘> Refine proposal based on feedback = Workable prototype existing\n‘© Conduct pot study / pian and set up experiment /start data collection methods\n‘© Stat development ‘© Generate preliminary resuits\n‘8 Reproduce existing methods ‘© Suamission of Publication 1 (review\n‘Begin data analysis paper / experimertal design)\n‘© Prepare for Candidature Defence ‘© Submit Progress report\n‘© Submit Publication 1\nProgress report submission\n\nKeywords: Doctor of Philosophy, GOT schedule, analysis, conduct, course, data, defence, existing, milestones, progress, proposal, publication, report, research, submit"}
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+{"kb_id": "RAGKB-0521", "knowledge_group_id": "KG-0022", "source_chunk_id": "SC-00521", "source_doc": "Complete Handbook", "scope_label": "postgraduate", "section": "Doctor of Philosophy", "subsection": "Proposed Graduate on Time (GOT) Schedule", "title": "Doctor of Philosophy - Proposed Graduate on Time (GOT) Schedule - chunk 3", "pages": [124], "chunk_index": 3, "group_size_chunks": 3, "group_size_qas": 6, "linked_index_ids": ["UMI-0049", "UMI-0260"], "group_canonical_questions": ["What is the proposed Graduate on Time schedule for Doctor of Philosophy?", "What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?"], "chunk_question_variants": [], "matched_qa_ids": [], "grounded_answer_bank": [], "retrieval_keywords": ["acceptance", "all", "applicable", "based", "candidates", "correction", "examiners", "external", "final", "internal", "international", "thesis"], "retrieval_tags": [], "source_text": "‘© Thesis correction and final thesis submission (based on internal and external Receive serate letter\nexaminers)\n‘© Journal acceptance\n“Applicable to all international candidates.", "retrieval_text": "Title: Doctor of Philosophy - Proposed Graduate on Time (GOT) Schedule - chunk 3\n\nScope: postgraduate\n\nSource document: Complete Handbook\n\nSection: Doctor of Philosophy\n\nSubsection: Proposed Graduate on Time (GOT) Schedule\n\nCanonical questions:\n- What is the proposed Graduate on Time schedule for Doctor of Philosophy?\n- What key milestones appear in the proposed Graduate on Time schedule for Doctor of Philosophy?\n\nSource chunk text:\n‘© Thesis correction and final thesis submission (based on internal and external Receive serate letter\nexaminers)\n‘© Journal acceptance\n“Applicable to all international candidates.\n\nKeywords: acceptance, all, applicable, based, candidates, correction, examiners, external, final, internal, international, thesis"}