4539 (v.7) Machine Perception 400
Note
Tuition Patterns
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.
Unit references, texts and outcomes
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.
| Area: | Department of Computing |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 3.0 |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Prerequisite(s): |
1922 (v.8)
Data Structures and Algorithms 120
or any previous version
AND 10163 (v.10) Unix and C Programming 120 or any previous version |
| Syllabus: | Introduction. Image Data Capture/ Processing. Data Compression, Biometrics. Video/ Image Processing. Speech Recognition. Syntactic Pattern Recognition - String/ Graph Matching. Statistical Pattern Recognition. Decision Trees (C4.5). Neural Networks. 3D Object Recognition. Object Tracking. |
| Field of Education: | 020119 Artificial Intelligence |
| 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.
