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University Course Timetabling Problem with Professor Assignment

Author

Listed:
  • Nancy Maribel Arratia-Martinez
  • Cristina Maya-Padron
  • Paulina A. Avila-Torres

Abstract

One of the decision problems in many organizations and institutions is to decide how to schedule different tasks, in particular, in higher education institutions. One of the main problems is the university course timetabling problem (UCTP): this problem consists of the allocation of events (courses, professors, and students) to a number of fixed time slots and rooms, this at the beginning of each academic period of the universities. The existent formulations include particular requirements from different educational levels and institutions, as in our case. In this paper, we focus on the university course timetabling problem with the assignment of professor-course-time slot for an institution in Mexico. Timetabling is constructed for the disciplinary courses that are offered by one of the academic departments. The main characteristics are as follows: (1) there are full-time and part-time professors; (2) a mandatory fixed number of courses has to be assigned to each full-time professor according to their academic profile; (3) there is a maximum number of courses assigned to part-time professors; (4) a professor-course matrix that specifies the valid assignation is defined; and (5) mandatory time periods for courses in different semesters are established and other traditional constraints. We present the integer linear programming model proposed to solve the case studied. The optimal solution was obtained with low computational effort through the classical branch-and-bound algorithm. We describe the complete timetable to show the model effectiveness.

Suggested Citation

  • Nancy Maribel Arratia-Martinez & Cristina Maya-Padron & Paulina A. Avila-Torres, 2021. "University Course Timetabling Problem with Professor Assignment," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, January.
  • Handle: RePEc:hin:jnlmpe:6617177
    DOI: 10.1155/2021/6617177
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