Utilization of Timetable Management System to a Medium Scaled University

University timetable construction is hardworking and complicated task when there are large number of course arrays and limited resources. As a result, universities and some institutes tend to solve this issue manually even; the results may not always fully optimal. In this paper, we discuss about a framework of utilizing timetable management system to a medium scale university for resource optimization. Our endeavor through the overall research was to develop an automated timetable management system to the faculty of IT at university of Moratuwa to overcome the mentioned scheduling issues. We conducted a preliminary study and hypothesized it can be achieved by using Genetic Algorithm. In the solution, each individual called chromosome and it was evaluated using a fitness function in the implementation process. Five great Chromosomes with higher fitness value considered as optimal solution or timetable schedules. The timetable administrator can further refine the most suitable timetable. Tools such as PHP, Yii with MVC architecture and MYSQL were used in this system. Finally, this system was tested and evaluated in the university background and we suggest this framework is more desirable for medium scale universities.