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. ** | |||||||||||||||||||||||||
Lecture: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||
Practical: |
1 x 2 Hours Weekly | ||||||||||||||||||||||||
Prerequisite(s): |
1922 (v.7) Software Technology 152 or any previous version AND 10163 (v.9) Introduction to Programming Environments 152 or any previous version |
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Syllabus: |
Image formation, binary images and their properties, edge detection, feature extraction, pattern recognition, model-based vision and interpretation, character and speech recognition and neural networks. | ||||||||||||||||||||||||
** 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 |
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