Paper Title
College Course Timetabling Optimization Considering Instructor’s Workload

Abstract
Course timetabling for schools, colleges, and universities is normally a complex educational problem. Without any decision-making tools in management process, it definitely requires a long period of time to complete a practical and optimal timetable since there are various limitations to consider as well as a plenty of data such as the number of students, number of courses, teaching periods, classroom types, and instructor expertise, etc. In addition, the results from such timetable sometimes are unsatisfied including teaching workload among instructors which is always not well balanced. Therefore, this research aims to develop a nonlinear binary integer programming model for the timetabling problem of a technical college in order to minimize the variance of workload. Premium Solver is used to find an optimal solution which can also reduce time to generate a timetable. By the proposed approach, the results show that the variance of teaching workload is decreased by 10% and the time spent on scheduling decreased by 96% compared to the traditional approach. Index Terms - Timetabling Problem, Workload Balancing, Mathematical Model.