Course Coordination In Academic Sector: An Expert System Foundation
DOI:
https://doi.org/10.21015/vtse.v3i1.117Abstract
Artificial Intelligence (AI) has come out from science fiction movies and it is now enabling machines to behave like human experts. Computers have some advantages over human beings because of their immunity toward perturbation factors. These factors include fatigue, stress and diminished attention. This ability makes computers more efficient and reliable in decision making. The real goal of AI is to computerize human intelligence. In this paper we explored “Expert Systems” that is one of the most important branches of AI. In expert systems, we simulate expertise of domain experts in computer systems. Machines can work like doctors, engineers and consultants and can be able to learn and use their judgmental power to conclude the situations. In academia, many subjects are being offering in every degree programs. A course coordinator is an expert who allot related subject to instructors by using some factual and heuristic knowledge. The real task is to simulate the judgment ability that he obtained after many years of experience. We proposed an expert system that will stimulates the intelligence of course coordinator and will make reliable decisions.Downloads
Published
2014-01-31
How to Cite
KHAN, W. A., AHMED, M. N., & KHAN, M. T. (2014). Course Coordination In Academic Sector: An Expert System Foundation. VFAST Transactions on Software Engineering, 2(1), 8–14. https://doi.org/10.21015/vtse.v3i1.117
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-By) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
This work is licensed under a Creative Commons Attribution License CC BY