SIT332 - Robotics, Computer Vision and Speech Processing
| Year: | 2025 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 teaching period 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. |
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
Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current Students website.