APPLICATION OF GENETIC ALGORITHM IN MODELING UNIVERSITY ADMISSION DECISION SUPPORT SYSTEM
APPLICATION OF GENETIC ALGORITHM IN MODELING UNIVERSITY ADMISSION DECISION SUPPORT SYSTEM
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Date
2014-04
Authors
YUSUF, AMINAT BOLATITO
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Abstract
This thesis evaluates the impact of Universities’ entry qualification requirements and the
performance of students, in order to decide how these factors bring patterns that are best
for admission. The proposed model uses the defined University’s entry qualification as
input variables and the students’ first year performance to determine the best admission
requirements. Genetic algorithm was used as the searching technique to determine the
hidden relationship between the input and the associated performance. Students’
admission data and their corresponding first year results were obtained from the
department of Mathematics, Ahmadu Bello University, Zaria. The results indicated that
the observed performance of students whose admission into Mathematics Department
through the University Matriculation Examinations, Post University Tertiary
Matriculation Examinations and O’levels depends more on their respective mathematics
and physics average performance in all the three examinations than their entry scores in
the individual examination. A comparative study using a statistical model show that the
result obtained from the genetic algorithm approach were in line with the result of the
statistical model. The model was implemented using java programming language,
developed in Netbean environment.
Description
A THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES,
AHMADU BELLO UNIVERSITY, ZARIA
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF
MASTERS DEGREE IN COMPUTER SCIENCE.
DEPARTMENT OF MATHEMATICS,
FACULTY OF SCIENCE
AHMADU BELLO UNIVERSITY, ZARIA
NIGERIA
APRIL, 2014
Keywords
,APPLICATION,, GENETIC, ALGORITHM,, MODELING,, UNIVERSITY,, ADMISSION,, DECISION,, SUPPORT,, SYSTEM.