Preparing optimal examination timetables is extremely important for the universities, students, and teachers. Nevertheless, this is a complex task to be done manually as many constraints, regarding students, teachers, and facilities, need to be considered. Therefore, it is quite interesting, from the scientific perspective, as well as from practical point of view at the universities, to look at how such timetables could be generated in an automated manner.
The objective of this project is to precisely deal with this challenge, by developing new optimisation methods based on metaheuristics and artificial intelligence techniques for the problem of examination timetabling at the Faculty of Electrical and Computer Engineering, University of Prishtina, as well as for the existing variants of the examination problems in the literature. We aim to develop hybrid optimisation methods and automated algorithm selection for this envisioned problem. In addition, we shall develop a protype implementation for the examination timetabling at the Faculty of Electrical and Computer Engineering, University of Prishtina.
The project will contribute to the area of examination timetabling and will enable to boost the cooperation between University of Prishtina, University of Sarajevo and TU Wien. In addition, this project will represent a huge opportunity to young Kosovar and Bosnian researchers to improve their research background in the fields of artificial intelligence, optimisation, and automated timetabling.