SIT789 - Robotics, Computer Vision and Speech Processing
| Year: | 2025 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Waurn Ponds (Geelong), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | SIT771 and SIT787. |
| Corequisite: | SIT720 |
| Incompatible with: | SIT332 |
| 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
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
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.