4518 (v.5) Artificial and Machine Intelligence 351
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.9) 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: | 020119 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. | |
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Content Last Modified: January 27, 2006
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