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Review of Computer Engineering Research

March 2019, Volume 6, 1, pp 24-34

Design of Automated Departmental Lecture Timetable System

Etuh, Emmanuel

,

Ajodoh, Onoja Friday

,

Yusuf, Serah Omolola

Etuh, Emmanuel 1

Ajodoh, Onoja Friday 2
Yusuf, Serah Omolola 3

  1. Department of Mathematics and Computer Science, Arthur Jarvis University, Cross River State, Nigeria 1

  2. St. Thomas Aquinas School, Lokoja, Kogi State, Nigeria. 2

  3. Department of Physics, Arthur Jarvis University, Cross River State, Nigeria 3

Pages: 24-34

DOI: 10.18488/journal.76.2019.61.24.34

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Article History:

Received: 12 December, 2018
Revised: 18 January, 2019
Accepted: 27 February, 2019
Published: 08 May, 2019


Abstract:

A lecture timetable is a tabular list showing the times which a particular lecture is scheduled to hold and the venue in each day of the week. Its content includes the course code for each course, the coded lecture venue, and the time for each lecture. A lecture timetable is designed every semester. In this era of technological advancement, virtually every aspect of human enterprise has been automated (the use of machines especially computers instead of human to accomplish a task). Now students can pay their school fee, register their courses and even check their results on the internet. This is the drive that gave birth to this research work: the design of an automated lecture timetable for the department of mathematical sciences, Kogi State University Anyigba. The project presents the automated design of lecture timetable. The principle of operation is simple and employs the use of computer technology. A program is written in Visual Basic which produces the output in an error free tabular form displaying the courses/venues for each particular lecture schedule.
Contribution/ Originality
The paper's primary contribution is the eradication of double scheduling, time clashing, and poor resources’ utilization in timetabling. The implementation employs the use of ICT to reduce the cost and time taken to design a timetable, eliminates the drawback of human error. Every semester, the application only needs an update of courses, and venues.

Keywords:

Automated, Courses, Credit Unit, Lecture timetable, Room capacity, Schedule, Timeslot, Venues.

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Funding:

This study received no specific financial support.

Competing Interests:

The authors declare that they have no competing interests.

Acknowledgement:

All authors contributed equally to the conception and design of the study.

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