| Code | Faculty | Department |
|---|---|---|
| 12245000 | Faculty of Engineering, Built Environment and Information Technology | Department: Informatics |
| Credits | Duration | NQF level |
|---|---|---|
| Minimum duration of study: 1 year | Total credits: 120 | NQF level: 08 |
Refer also to G16-G29.
Subject to the provisions of G18.3, a full-time student must complete his or her studies for an honours degree within two academic years (four semesters) and a part-time student within three academic years (six semesters) after first registration for the degree. However, the Dean may, on the recommendation of the relevant head of department, extend the period of study in both cases by a maximum of two semesters.
Refer also to G18 and G26.
The degree is conferred with distinction if students registered for the degree for the first time, complete the degree within the minimum prescribed time and pass all modules with a weighted average of 75% (not rounded).
Minimum credits: 120
Module content:
This module will be used to present special, relevant topics within the expertise of the department.
Module content:
Enterprise Architecture (EA) involves comprehensive business frameworks that capture the complexity of modern organisations, providing a blue-print for co-ordinating and integrating all components of an organisation. The module will illustrate all the aspects of EA, discuss the need for EA as well as various frameworks, methods and techniques of EA.
Module content:
This module will be used to present special, relevant topics within the expertise of the department.
Module content:
• Advanced database design
• Advanced database management
• Database architectures and languages
• Data warehousing and data marts
• Current trends
Module content:
Main emphasis will be on IS project management using a case study to get practical experience in project management.
Module content:
This module will be used to present special, relevant topics within the expertise of the department.
Module content:
In this information age a lot of data is captured every day and recorded in databases, but the wealth of this data is kept locked in the databases because relatively little mining is performed on this data. This module introduces you to data mining in terms of:
• The data mining process - how do you mine data?
• The data mining techniques - an overview of the data mining techniques that can be used;
• Practical data mining experience - a practical project mining real industry data to find unknown patterns; and
• Product overviews - product demonstrations by data mining vendors.
Module content:
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