This study titled "Development of an Automated Class Scheduling System" aims to address the challenges associated with manual class scheduling processes in MMSU. The rationale behind this study is to streamline and automate the scheduling process to improve efficiency, reduce errors, and optimize resource utilization.

By developing an automated class scheduling system, the research aims to eliminate time-consuming and error-prone manual scheduling tasks. The system will utilize advanced algorithms and intelligent scheduling techniques to generate optimal class schedules based on various constraints such as room availability, faculty preferences, and course requirements.

The automated system will also provide real-time updates and notifications, enabling quick adjustments and changes to the schedule when necessary. Additionally, it will consider factors like optimal room allocation to maximize the utilization of resources and minimize conflicts. 

The expected output of this study is an improved class scheduling system that minimizes conflicts of schedules while maximizing university resources.