Proceedings of the 4th edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Faso

Research Article

Resources’s Optimisation in Pedagogical Activities Scheduling

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  • @INPROCEEDINGS{10.4108/eai.11-11-2021.2317971,
        author={Boureima  KOUSSOUBE and Moustapha  BIKIENGA and Telesphore  TIENDREBEOGO},
        title={Resources’s Optimisation in Pedagogical Activities Scheduling},
        proceedings={Proceedings of the 4th edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Faso},
        publisher={EAI},
        proceedings_a={JRI},
        year={2022},
        month={5},
        keywords={timetabling scheduling pedagogical activities mathematical model},
        doi={10.4108/eai.11-11-2021.2317971}
    }
    
  • Boureima KOUSSOUBE
    Moustapha BIKIENGA
    Telesphore TIENDREBEOGO
    Year: 2022
    Resources’s Optimisation in Pedagogical Activities Scheduling
    JRI
    EAI
    DOI: 10.4108/eai.11-11-2021.2317971
Boureima KOUSSOUBE1,*, Moustapha BIKIENGA2, Telesphore TIENDREBEOGO1
  • 1: University Nazi BONI, Bobo Dioulasso, BURKINA FASO
  • 2: University Norbert ZONGO, Koudougou, BURKINA FASO
*Contact email: koussoubeboureima@hotmail.com

Abstract

The scheduling of pedagogical activities is a process that assigns a number of pedagogical activities to a limited set of resources and time slots, in accordance with a set of constraints. It is a complex and delicate task because it involves several educational activities and few resources, but also several constraints, some of which are contradictory, which must be satisfied as best as possible. Given the complexity of the problem, the use of computer tools becomes indispensable. The implementation of a tool most often requires the use of a mathematical model. This article proposes a binary model that allows to schedule pedagogical activities and optimize the use of resources (teachers and rooms) in a context of lack of resources and their availability. The resources’s optimization was possible by minimizing the difference between the availability sum of each resource and the courses sum in which the resource is involved