SIT332 - Robotics, Computer Vision and Speech Processing
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | SIT232 and SIT292 |
| Corequisite: | Nil |
| Incompatible with: | SIT789 |
| Study commitment | Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - campus | 1 x 3 hour seminar per week |
| Scheduled learning activities - online | Online independent and collaborative learning including 1 x 2 hour online seminar per week, weekly meetings. |
Content
Sensing and interacting with the environment in robotics is achieved using computer vision and speech processing techniques. In this unit, you will analyse various existing computer vision and speech processing algorithms and their application in robotics to navigate and act in a real-world scenario. You will investigate state-of-art machine learning techniques that can be used in the field and develop novel solution 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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