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AI-Based Tool for Curriculum-Based Course Timetabling at the University of Potsdam

12 pagesPublished: January 13, 2025

Abstract

Education is a fundamental component of universities and is linked with the non-trivial possibly time-consuming task of creating suitable timetables for teaching. The correspond- ing problem is known as Curriculum-Based Course Timetabling, which takes into account various constraints while seeking a conflict-free timetable. We addressed this problem by following a knowledge representation and reasoning approach, describing constraints and feasible assignments of courses to time slots. Possible assignments are gathered through a prototypical web interface, and the corresponding constraints are respected by automat- ically finding a timetable using an AI. We discuss the resolved redundancies, time saved and potential future benefits when comparing the traditional and new approach regarding the needs of teachers, students and administration at the University of Potsdam.

Keyphrases: ai based, asp, curriculum based course timetabling, knowledge representation and reasoning

In: Raimund Vogl, Laurence Desnos, Jean-François Desnos, Spiros Bolis, Lazaros Merakos, Gill Ferrell, Effie Tsili and Manos Roumeliotis (editors). Proceedings of EUNIS 2024 annual congress in Athens, vol 105, pages 188-199.

BibTeX entry
@inproceedings{EUNIS2024:AI_Based_Tool_Curriculum,
  author    = {Christian Dohrmann and Ulrike Lucke and Torsten Schaub and Sebastian Schellhorn},
  title     = {AI-Based Tool for Curriculum-Based Course Timetabling at the University of Potsdam},
  booktitle = {Proceedings of EUNIS 2024 annual congress in Athens},
  editor    = {Raimund Vogl and Laurence Desnos and Jean-François Desnos and Spiros Bolis and Lazaros Merakos and Gill Ferrell and Effie Tsili and Manos Roumeliotis},
  series    = {EPiC Series in Computing},
  volume    = {105},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/gwQb},
  doi       = {10.29007/t32z},
  pages     = {188-199},
  year      = {2025}}
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