Case Study: University Lecture Timetabling Without Pre-registration Data
This paper focuses on university lecture timetabling at Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaysia Sarawak (UNIMAS). In this case study, course pre-registration is not a practice. Therefore, there is no precise estimation on course registration and causes...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17119/ http://ir.unimas.my/id/eprint/17119/1/Case%20Study%20University%20Lecture%20Timetabling%20Without%20Pre-registration%20Data%20%28abstract%29.pdf |
| _version_ | 1848838213026709504 |
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| author | Sze, San Nah Bong, Chia Lih Chiew, Kangleng Tiong, Wei King Noor Alamshah, Bolhassan |
| author_facet | Sze, San Nah Bong, Chia Lih Chiew, Kangleng Tiong, Wei King Noor Alamshah, Bolhassan |
| author_sort | Sze, San Nah |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This paper focuses on university lecture timetabling at
Faculty of Computer Science and Information Technology
(FCSIT), Universiti Malaysia Sarawak (UNIMAS). In this case
study, course pre-registration is not a practice. Therefore, there
is no precise estimation on course registration and causes
faculty’s experienced planner to arrange the timetable by
curriculum-based. However, curriculum-based timetable will
create a lot of changes after the semester has started. Besides,
students are increasing consistently from semester to semester
although the number of venue resources remains the same. Due
to all these issues, the objective of this study is to develop a
computerised algorithm to minimise the clashes issue and
increase venue utilisation. Data pre-processing algorithm was
carried out to predict course registration. Then, a two-stage
heuristic method is proposed to solve the faculty course
timetabling problem by student-based. The simulator was
tested with three real semesters’ data from FCSIT. All the
timetable solutions generated by the simulator are no-clash
solution with minimum unallocated courses. In term of venue
utilisation, two-stage heuristic solution manages to allocate
exactly with the demand up to 98% but real solution can
perform best at only 75%. |
| first_indexed | 2025-11-15T06:51:58Z |
| format | Article |
| id | unimas-17119 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:51:58Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-171192017-08-09T01:31:59Z http://ir.unimas.my/id/eprint/17119/ Case Study: University Lecture Timetabling Without Pre-registration Data Sze, San Nah Bong, Chia Lih Chiew, Kangleng Tiong, Wei King Noor Alamshah, Bolhassan LB Theory and practice of education This paper focuses on university lecture timetabling at Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaysia Sarawak (UNIMAS). In this case study, course pre-registration is not a practice. Therefore, there is no precise estimation on course registration and causes faculty’s experienced planner to arrange the timetable by curriculum-based. However, curriculum-based timetable will create a lot of changes after the semester has started. Besides, students are increasing consistently from semester to semester although the number of venue resources remains the same. Due to all these issues, the objective of this study is to develop a computerised algorithm to minimise the clashes issue and increase venue utilisation. Data pre-processing algorithm was carried out to predict course registration. Then, a two-stage heuristic method is proposed to solve the faculty course timetabling problem by student-based. The simulator was tested with three real semesters’ data from FCSIT. All the timetable solutions generated by the simulator are no-clash solution with minimum unallocated courses. In term of venue utilisation, two-stage heuristic solution manages to allocate exactly with the demand up to 98% but real solution can perform best at only 75%. IEEE 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/17119/1/Case%20Study%20University%20Lecture%20Timetabling%20Without%20Pre-registration%20Data%20%28abstract%29.pdf Sze, San Nah and Bong, Chia Lih and Chiew, Kangleng and Tiong, Wei King and Noor Alamshah, Bolhassan (2017) Case Study: University Lecture Timetabling Without Pre-registration Data. International Conference on Applied System Innovation (ICASI), 2017. ISSN ISBN: 978-1-5090-4897-7 http://ieeexplore.ieee.org/abstract/document/7988533/ DOI: 10.1109/ICASI.2017.7988533 |
| spellingShingle | LB Theory and practice of education Sze, San Nah Bong, Chia Lih Chiew, Kangleng Tiong, Wei King Noor Alamshah, Bolhassan Case Study: University Lecture Timetabling Without Pre-registration Data |
| title | Case Study: University Lecture Timetabling Without Pre-registration Data |
| title_full | Case Study: University Lecture Timetabling Without Pre-registration Data |
| title_fullStr | Case Study: University Lecture Timetabling Without Pre-registration Data |
| title_full_unstemmed | Case Study: University Lecture Timetabling Without Pre-registration Data |
| title_short | Case Study: University Lecture Timetabling Without Pre-registration Data |
| title_sort | case study: university lecture timetabling without pre-registration data |
| topic | LB Theory and practice of education |
| url | http://ir.unimas.my/id/eprint/17119/ http://ir.unimas.my/id/eprint/17119/ http://ir.unimas.my/id/eprint/17119/ http://ir.unimas.my/id/eprint/17119/1/Case%20Study%20University%20Lecture%20Timetabling%20Without%20Pre-registration%20Data%20%28abstract%29.pdf |