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): |
10163 (v.8) Introduction to Programming Environments 152 or any previous version
|
| |
Syllabus: |
Introduction to neural networks. Introduction to machine learning, constraint propagation, probabilistic reasoning, planning and problem solving paradigms. |
| |
| ** 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: |
20100 Computer Science (Narrow Grouping) |
HECS Band (if applicable): |
2 |
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Extent to which this unit or thesis
utilises online information: |
Not Online |
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. |
