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Automated Timetabling Improves Course Scheduling at UCLA

Author

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  • Jan Stallaert

    (Department of Management Science and Information Systems CBA 5.202, College and Graduate School of Business, University of Texas, Austin, Texas 78712)

Abstract

Every school must generate a timetable for its courses. If the number of classes is large—say 100 or more—and constraints and preferences are involved, this problem becomes too time-consuming to do manually. I implemented a course timetabling system for the Anderson School of Management at UCLA. I divided the overall problem into two subproblems: first to schedule the core courses using an integer-programming algorithm, and second to generate a timetable by using a heuristic algorithm to solve a variant of a quadratic assignment problem. The administrators have been using this decision support system over the past three years to schedule the courses every quarter and state that it generates timetables as good as the manual ones but a lot faster.

Suggested Citation

  • Jan Stallaert, 1997. "Automated Timetabling Improves Course Scheduling at UCLA," Interfaces, INFORMS, vol. 27(4), pages 67-81, August.
    • Handle: RePEc:inm:orinte:v:27:y:1997:i:4:p:67-81
    DOI: 10.1287/inte.27.4.67
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    Citations

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    Cited by:

    1. Ciamac C. Moallemi & Utkarsh Patange, 2024. "Hybrid Scheduling with Mixed-Integer Programming at Columbia Business School," Interfaces, INFORMS, vol. 54(3), pages 222-240, May.
    2. Jaime Miranda, 2010. "eClasSkeduler: A Course Scheduling System for the Executive Education Unit at the Universidad de Chile," Interfaces, INFORMS, vol. 40(3), pages 196-207, June.
    3. R. Alan Bowman, 2021. "Developing Optimal Student Plans of Study," Interfaces, INFORMS, vol. 51(6), pages 409-421, November.
    4. Al-Yakoob, Salem M. & Sherali, Hanif D., 2007. "A mixed-integer programming approach to a class timetabling problem: A case study with gender policies and traffic considerations," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1028-1044, August.
    5. Boronico, Jess, 2000. "Quantitative modeling and technology driven departmental course scheduling," Omega, Elsevier, vol. 28(3), pages 327-346, June.
    6. Timothy R. Hinkin & Gary M. Thompson, 2002. "SchedulExpert: Scheduling Courses in the Cornell University School of Hotel Administration," Interfaces, INFORMS, vol. 32(6), pages 45-57, December.
    7. Amy B. Gore & Mary E. Kurz & Matthew J. Saltzman & Blake Splitter & William C. Bridges & Neil J. Calkin, 2022. "Clemson University’s Rotational Attendance Plan During COVID-19," Interfaces, INFORMS, vol. 52(6), pages 553-567, November.
    8. Cristian D. Palma & Patrick Bornhardt, 2020. "Considering Section Balance in an Integer Optimization Model for the Curriculum-Based Course Timetabling Problem," Mathematics, MDPI, vol. 8(10), pages 1-12, October.
    9. Urban, Timothy L. & Russell, Robert A., 2003. "Scheduling sports competitions on multiple venues," European Journal of Operational Research, Elsevier, vol. 148(2), pages 302-311, July.
    10. Raza, Syed Arshad, 2021. "Managing ethical requirements elicitation of complex socio-technical systems with critical systems thinking: A case of course-timetabling project," Technology in Society, Elsevier, vol. 66(C).
    11. Leo Lopes & Meredith Aronson & Gary Carstensen & Cole Smith, 2008. "Optimization Support for Senior Design Project Assignments," Interfaces, INFORMS, vol. 38(6), pages 448-464, December.

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