SIT789 - Applications of Computer Vision and Speech Processing
| Year: | 2020 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Waurn Ponds (Geelong), Cloud (online) |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | SIT771 and SIT787 For students enrolled in S737: SIT787 |
| Corequisite: | SIT720 |
| Incompatible with: | Nil |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities - campus | 1 x 2 hour class per week, 1 x 2 hour seminar/workshop per week |
| Scheduled learning activities - cloud (online) | 1 x 1 hour scheduled online workshop per week |
Content
Computer Vision and Speech Processing are fields of Artificial Intelligence that look to extract information from images, videos, and audio to better help computers interact with the real world. In this unit you will explore the application of computer vision and speech processing algorithms to solve real world problems. You will draw upon current research and state of the art tools to propose and develop novel solutions involving computer vision and speech processing.
Hurdle requirement
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the portfolio.
Unit Fee Information
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