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Cornell University Uses Integer Programming to Optimize Final Exam Scheduling by Ye, Tinghan; Jovine, Adam; van Osselaer, Willem; Zhu, Qihan; Shmoys, David is a scholarly article available to read on EtoBox.

What is Cornell University Uses Integer Programming to Optimize Final Exam Scheduling about?

This paper presents an integer programming-based optimization framework designed to effectively address the complex final exam scheduling challenges encountered at Cornell University. With high flexibility, the framework is specifically tailored to accommodate a variety of different constraints, including the front-loading of large courses and the exclusion of specific time slots during the exam period. By generating multiple scheduling model variants and incorporating heuristic approaches, our framework enables comprehensive comparisons of different schedules. This empowers the University Registrar to make informed decisions, considering trade-offs in terms of schedule comfort measured by different levels of exam conflicts. Our results demonstrate significant advantage over the historical lecture time-based approach, providing time and effort savings for the university administration while enhancing student and faculty satisfaction.

Author

Ye, Tinghan; Jovine, Adam; van Osselaer, Willem; Zhu, Qihan; Shmoys, David

Published

2024

Language

EN