302974 (v.2) Machine Perception 562
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 |
| Practical: | 1 x 1 Hours Weekly |
| 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. |
| 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.
