DESIGN AND IMPLEMENTATION OF A WEBBASED UNIVERSITY ADMISSION AND PLACEMENT NEURAL NETWORK MODEL
DESIGN AND IMPLEMENTATION OF A WEBBASED UNIVERSITY ADMISSION AND PLACEMENT NEURAL NETWORK MODEL
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Date
2008-08
Authors
AIGBE, PATIENCE ERINMA
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Abstract
Every year the number of applicants seeking admission into Nigerian Universities
increases by leaps and bounds although the Universities lack the commensurate
facilities to meet the challenges of admitting the high number of applicants. For this
reason, the admission officers have to manually evaluate every candidate’s data against
the set admission requirements to screen the applicants in order to select the number of
candidates that their universities can accommodate. The procedures involved are very
cumbersome, time consuming and prone to a lot of human errors and irregularities.
Many candidates miss out on the admission every year, and the most painful aspect of
this manual process is that many who are not qualified for a particular course end up
being given placement into such courses while the more qualified ones are left out.
Consequently, for lack of aptitude for the course, the students struggle through and
many even resort to cheating their way through examinations and then graduate out of
the Universities ill-equipped for the job market and the society. On the other hand,
some of the less fortunate but qualified ones who are not given University admission
year after year, become so frustrated over time and end up in hideous lifestyles.
Whichever way, the society suffers and national growth is hindered.
In this work, a web-based model was designed to considerably take care of the above
problems. The system was developed to provide a time-efficient, detailed and unbiased
automated procedure for selecting the most qualified candidates for admission into
universities, and ensure that qualified candidates, who fail to meet the requirements for
a particular course, are automatically placed into other courses for which they meet the
admission requirements and where vacancies exist, using neural network model. The
model also provides an avenue for students self-screening admission system.
The system design, implementation and results are presented in chapter four. The
implementation was based on AMP (Apache, MySQL, and PHP) open source solutions.
Description
A THESIS SUBMITTED TO THE POSTGRADUATE SCHOOL
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR
THE AWARD OF THE DEGREE OF MASTER OF SCIENCE IN
COMPUTER SCIENCE
DEPARTMENT OF MATHEMATICS
FACULTY SCIENCES
AHMADU BELLO UNIVERSITY
ZARIA
NIGERIA.
AUGUST, 2008
Keywords
DESIGN, IMPLEMENTATION OF A WEB, WEBBASED UNIVERSITY ADMISSION, WEBBASED UNIVERSITY ADMISSION