| Area: |
Department of Computing |
| Credits: |
25.0 |
| Contact Hours: |
4.0 |
| |
| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
| |
| Workshop: |
1 x 4 Hours Weekly |
| Prerequisite(s): |
5396 (v.8) Software Technology 502 or any previous version
|
| |
| Syllabus: |
Introductions to knowledge based systems, tools and languages, prolog and clips, knowledge representation, controlling inference, KBS construction and expert system shells, explaining reasoning, knowledge acquisition, user interface and delivery vehicles and recent developments. |
| |
| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
| |
| Field of Education: | 20119 Artificial Intelligence |
| Funding Cluster: | 06 - Computing, Built Environment, Health |
| SOLT (Online) Definitions*: | Not Online
*Extent to which this unit or thesis utilises online information |
| Result Type: | Grade/Mark |
Availability |
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. |
