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Automated Course and Examination Timetabling: Enhancing Scheduling Efficiency

This project aims to develop an automated system for course and examination timetabling at Pondicherry Engineering College. It focuses on optimizing the scheduling of lectures and exams while addressing conflicts related to students, teachers, and resources. By leveraging innovative solutions, we seek to enhance flexibility, reduce preparation time, and ensure effective utilization of resources, resulting in an error-free, centrally monitored timetable. The implementation phases include studying existing constraints, developing databases, and applying optimization techniques for desired outcomes.

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Automated Course and Examination Timetabling: Enhancing Scheduling Efficiency

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  1. AUTOMATED COURSE AND EXAMINATION TIMETABLING Dr. S. KanmaniProfessor and Head Department of Information Technology Pondicherry Engineering College Puducherry --605 014 kanmani@pec.edu

  2. Course Timetabling • Course Timetabling is an event of scheduling of lectures for subjects in each course in the specified rooms and timeslots • The feasibility of Scheduling depends on the flexibility and effectiveness of assigning subjects for courses and teachers in a week • The resultant timetable must fulfill the constraints for feasibility and optimality

  3. Course Timetabling - constraints • Student conflict • Teacher conflict • Room conflict • Other soft constraints

  4. Examination Scheduling • Examination Timetabling is scheduling of Exam timings for various subjects of different courses in the specified rooms and in the allotted duration • The resultant timetable must fulfill the constraints for feasibility • Though a number of feasible solutions are possible the best optimal solution need to be identified

  5. Examination Scheduling - Constraints • Rooms • Resources • Examiners • Students

  6. Objectives • To design and implement the Course and Examination timetabling for the courses offered in 6 different disciplines • To improve the flexibility in assigning and changing the allotment based on the needs of teachers and students • By this automated scheduling, class hours will be evenly distributed without any bias and examinations could be scheduled without any violation • To minimize the Preparation time of the human resources • To implement error free scheduling • To have central monitoring, easy retrieval and uniform distribution of class hours for students / faculty members, laboratories and classrooms.

  7. Automated Timetabling Features • More than one Institution • Flexibility to change • Getting the best Always • Not trial and error • Minimum time • Effective utilization of resources • Easy monitoring / control • Even Distribution

  8. International / National Development • University of Nottingham, UK • www .nottingham. ac .uk /timetable • Napier University, Edinberg • www.napier.ac.uk • University of Technology Malaysia(UiTM) • www.uitm.edu • University Kebangsaan Malaysia • http://www.ftsm.ukm.my/ • IIT Kanpur , India • www.iitk.ac.in

  9. Courses to be considered

  10. Recurring Budget

  11. Non-Recurring Budget

  12. Implementation Phases Phase I : Study of the assumptions, conditions and constraints exist in the manual system in each of the institutions and generalization Phase II :Development of Data bases for common details (subjects, credits, etc) and specific details (faculty name, lab name, etc,..) Phase III :Applying suitable techniques to find the initial solution Phase IV :Experimenting the various optimization techniques Phase V :Optimization of the solution and identifying the best method

  13. Work Done • Class Timetabling for one UG Science course has been attempted with Artificial Intelligence • Course Timetabling is being explored now.

  14. THANK YOU

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