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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(1): 47-51 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.384

Automated Course Advising System

Mohammad S. Laghari
Abstract—Student course registration is an important as well as a trivial process that may encounter unnecessary graduation delays. Electrical Engineering Department of the United Arab Emirates University (UAEU) is one such place where students have faced problems such as, a lack of a proper advising system, awareness and experience of advisers, students’ ability to seek good advice, inappropriate advising time schedules, etc. Students not advised fittingly may suffer with problems which may include, course selection with time conflicts, missing out on suitable courses for specific semesters, choosing electives bypassing track restrictions, selecting too many or less courses, selecting unnecessary and incorrect courses, etc. An Automated Course Advising System (ACAS) is devised to guide students in selecting appropriate courses suitable to register online with the Banner System. ACAS software is developed by using JAVA computer programming language. The system is easily operated and the outcome of the course selection is stored to show a complete typical plan.

Index Terms—Advising, automation, course planning, knowledge engineering, software package.

M. S. Laghari is with the Department of Electrical Engineering, UAE University, P. O. Box: 15551, Al Ain, United Arab Emirates (e-mail: mslaghari@uaeu.ac.ae).


Cite:Mohammad S. Laghari, "Automated Course Advising System," International Journal of Machine Learning and Computing vol.4, no. 1, pp. 47-51, 2014.

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