An absorbing markov chain analysis of the enrollment of flow processes at the King Adbul Aziz University, 2016

Collection:
Atlanta University and Clark Atlanta University Theses and Dissertations
Title:
An absorbing markov chain analysis of the enrollment of flow processes at the King Adbul Aziz University, 2016
Creator:
Alsulami, Ghaliah
Date of Original:
2016-07-01
Subject:
Degrees, Academic
Dissertations, Academic
Location:
United States, Georgia, Fulton County, Atlanta, 33.749, -84.38798
Medium:
dissertations
theses
Type:
Text
Format:
application/pdf
Description:
Degree Type: thesis
Degree Name: Master of Science (MS)
Date of Degree: 2016
Granting Institution: Clark Atlanta University
Department/ School: Mathematical Sciences
The objective of the study is to apply Markov chain analysis to analyze student flow through King Abdul Aziz University (KAU) in Saudi Arabia, and to predict important metrics such as graduation and dropout rates. This objective arises from examination of the policies of KAU University. We begin with background information detailing the subject of study, then move into a general outline of stochastic processes. We then use these methods to construct a specific matrix of transition probabilities with data from the university student population. Finally, we discuss the calculation of the possibilities of transition between each level of study and the average time a student takes to complete each stage. The study uses Markov chains with these outcomes to analyze student retention data from the Department of Mathematics at KAU. From this analysis, the study will provide university policy recommendations that can be generalized to examine other universities.
Metadata URL:
http://hdl.handle.net/20.500.12322/cau.td:2016_alsulami_ghaliah
Language:
eng
Holding Institution:
Clark Atlanta University
Rights:
Rights Statement information

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