Education is commonly seen as an escape from poverty and a critical path to securing a better standard of living. This is especially relevant in the South African context, where the need is so great that in one instance people were trampled to death at the gates of a higher educational institution, whilst attempting to register for this opportunity. The root cause of this great need is a limited capacity and a demand, which outstrips the supply. This is not a problem specific to South Africa. It is however exaggerated in the South African context due to the country's lack of infrastructure and the opening of facilities to all people. Tertiary educational institutions are faced with ever-increasing applications for a limited number of available positions. This study focuses on a dataset from the Nelson Mandela Metropolitan University's Faculty of Engineering, the Built Environment and Information Technology - with the aim of establishing guidelines for the use of data modelling techniques to improve student admissions criteria. The importance of data preprocessing was highlighted and generalized linear regression, decision trees and neural networks were proposed and motivated for modelling. Experimentation was carried out, resulting in a number of recommended guidelines focusing on the tremendous value of feature engineering coupled with the use of generalized linear regression as a base line. Adding multiple models was highly recommended; since it allows for greater opportunities for added insight.

"No matter how good a portfolio manager is, she or he can not makes right investment decisions without the right information. It is all about data: how can many megabytes of data must be loaded into a continuously growing system, stored efficiently, and made easily accessible to all queries and to all applications? In this project, we build a decision database for managing a portfolio of fixed-income investments. We review the key features of the database architecture and describe key steps in processing the available date. In addition, we review some common analyses that are done by the portfolio manager by studying the report needed for a study of the investment duration at the sector level. "

No description available.

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 128-134).

Thesis (Ph.D.)--OGI School of Science & Engineering at OHSU, 2003. / Includes bibliographical references (leaves 174-181).

Thesis (M.S.)--West Virginia University, 2000. / Title from document title page. Document formatted into pages; contains viii, 131 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 62-63).

Thesis (M.S. in Computer Science) Naval Postgraduate School, March 1996. / Thesis advisor(s): David K. Hsiao, C. Thomas Wu. "March 1996." Includes bibliographical references. Also available online.

Thesis (M.S.) -- Worcester Polytechnic Institute. / Keywords: fixed-income; database design; architecture. Includes bibliographical references (p. 39).

No description available.

No description available.