University course timetabling and the requirements: Survey in several universities in the east-coast of Malaysia

General University Course Timetabling Mathematical Model to a Malaysian Public University Problem

“…The authors have successfully constructed a university course timetabling model that includes constraints that are found to be essential. As a continuation from the work, Abdul Aziz and Aizam [16] have conducted a survey on other requirements, which consist on the demands from users to be considered in the model. They observed, analyzed research articles and did their survey in the process of determination.…”

“…No lecturer should teach more than one lecture in any timeslot (Conflict of lecturer) (8) Each lecturer cannot teach more than the limited number of their workload per day (Workload of lecturers per day) (9) Each student group cannot attend more than the limited number of their workload per day (Workload of student groups per day) (10) Each lecturer cannot have more than the maximum number of consecutive lectures per day (11) Each student group cannot have more than the maximum number of consecutive lectures per day (12) Some lectures of the same course are to be scheduled on the same day (Same day) (13) Some lectures of the same course must not be scheduled on the same day (Not same day) (14) Some lectures of the same course are to be scheduled consecutively (Consecutive courses) (15) Some lectures cannot be scheduled consecutively (Non-consecutive lectures) (16) Interval between two lectures (morning and afternoon sessions) (17) Lectures with a large number of students are to be scheduled simultaneously (Simultaneously)…”

“…This occurs to pairs of courses for MKP3100 and MKP3200; MKP4300 and MKP3600. The requirement is fulfilled by constraint (16). Courses with a large number of students are divided into several student groups.…”

“…Detailed results of the survey can be found in Abdul Aziz and Aizam [16]. Thus, from both works carried out, we have come up with a brief report (Aziz and Aizam [17]).…”

An Application of Integer Linear Programming Towards Universiti Malaysia Terengganu Course Scheduling Problem

“…It is not necessary to satisfy soft constraints, but the more of the model addresses them, a better outcome (timetable) is obtained. Some of the common constraints employed in most of the mathematical models found in the literature (Aizam & Caccetta, 2014;Aziz & Aizam, 2017;Aziz & Aizam, 2018;Arratia-Martinez, 2021) are listed:…”