A Mathematical Model for Course Timetabling Problem With Faculty-Course Assignment Constraints

University course timetabling problem (UCTP) includes the challenging task of generating an automated timetable for courses under resource limitations. Manual generated timetables might hold some errors and consume a long time to create feasible solutions. Thus, there is need find optimal fast solutions this problem. The difficulty further increased when tackling faculty-related constraints, according their requirements, preferences, availability. student-related constraints are usually focus UCTP solutions, in which faculty limited teaching load or preferences. This paper proposes multi-objective mixed-integer programming model preregistration UCTP, combined with constraints. goal maximize events assignments faculty-members preferences satisfaction while balancing university requirements. At same time, student learning days unassigned minimized. tested eight real-world instances. Computational experiments carried out show efficiency model. proposed method can generate all instances that satisfy