Postgraduate supervision
Students who wish to be considered
for the Msc and PhD research topics must first of all
satisfy the EBIT faculty requirements available in the year book. Students who
wish to be considered for the Msc research topics
must have a Bsc honours degree in Computer Science
and should have studied and passed Mathematics or Statistics at the undergraduate
level up to the third year. Students who wish to be considered for the PhD research
topics must additionally have a masters degree in
Computer Science and a strong background in artificial intelligence methods or
statistical modeling or both. Students are also
expected to have successfully completed a course in research methods, or be
prepared to register for a course in research methods.
Two topics are available
on the comparison of binary classification methods for modeling
from large datasets.
Two topics are available
on methods for mining temporal data from large datasets, and the use of
artificial neural networks and support vector machines for classification modeling from large datasets.
1. An
explanatory case study of the factors affecting the effectiveness and efficiency
of the Lesotho Revenue Authority e-mail system (2010)
2. Data quality issues in
the banking supervisory information of SADC central banks (2010)
3.
Business intelligence adoption and utilization in the public sector of South
Africa (2010)
4. Exploring the extended
use of business intelligence tools in the South African Banking industry (2010)
5. An assessment of the
readiness for the successful implementation of business intelligence in a
developing country (2007)
6. The factors surrounding
the electronic commerce environment in a developing country (2007)
7. Enterprise Voice-overIP: An impact case study at Telkom SA (Pty) Ltd (2004)