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Using Random Scheduling Technique with Crowd-Sourcing to Solve Exam Timetable
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 50 |
| Year of Publication: 2022 |
| Authors: Charles Roland Haruna, Elliot Attipoe, Isaac Armah Mensah, Kwame Opuni-Boachie Obour Agyekum |
10.5120/ijca2022921928
|
Charles Roland Haruna, Elliot Attipoe, Isaac Armah Mensah, Kwame Opuni-Boachie Obour Agyekum . Using Random Scheduling Technique with Crowd-Sourcing to Solve Exam Timetable. International Journal of Computer Applications. 183, 50 ( Feb 2022), 1-7. DOI=10.5120/ijca2022921928
Abstract
An examination timetable is arranging temporary, a set of meetings making sure that all given constraints are fulfilled. A university has many colleges, faculties and programs within departments, each having their plan about how, when and where their examination should be run. Students can offer courses from a combination of several programs in the same or different departments, from different faculties and or colleges. Thus, scheduling of an examination timetable is a large and complex assignment. Various university examination timetabling systems have been proposed and developed, but not all university examination timetables can be scheduled by machines only, for example in the case of the University of Cape Coast. Both machine and experts are required. In this paper, a case study is presented and a hybrid technique tailored to suit the University of Cape Coast examination timetable scheduling is proposed, where machines are first used then experts complete the scheduling. Real data set from the University is used in this research and the effectiveness of the proposed technique is presented by performing multiple experiments and the results of an examination timetable using real data sets from past academic years (semesters) from the University of Cape Coast are discussed.
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