Afolabi, I. T. and Adebiyi, A. A. and Excel, G.C. and Igbokwe, C.P. (2017) Decision Support System for Final Year Project Management. The World Congress on Engineering and Computer Science (WCECS 2017). (In Press)
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (263kB) |
Abstract
Abstract— In a university system, the final year project is a synthesis of all the knowledge the students have acquired throughout the different years of their stay in the university. This knowledge must be used to solve a specific problem. Finding and selecting the appropriate project topic and supervisor to supervise the students, presently is in most cases very subjective. This paper presents a web based decision support system that automates efficiently the management of final year projects. The main contribution of the research is to recommend project supervisors and project topic based Naïve Bayes prediction. The decision support framework is web based, developed using JSP (Java-Server Pages), which integrates machine-learning algorithms to allocate final year projects and supervisor. The developed system has been able to provide a platform that maximizes the potentials of students and faculties particularly to solve industry and community related problems. This research has provided a platform to improve the quality of final year research project in the higher institutions of learning. It has also provided a rich platform for available project prototypes and help to eliminate the problems peculiar to lack of automation in final year project management and decision making.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | UNSPECIFIED |
| Depositing User: | Dr ibukun Afolabi |
| Date Deposited: | 01 Sep 2017 10:30 |
| Last Modified: | 28 Dec 2017 20:56 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/9011 |
Actions (login required)
 |
View Item |
