SIG789 - Robotics, Computer Vision and Speech Processing
| Year: | 2026 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Great Learning |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | Nil |
| Corequisite: | Must be enrolled in S732 Master of Applied Artificial Intelligence (Global) |
| Incompatible with: | SIT789, SIT332 |
| 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 - online: | Online independent and collaborative learning including optional scheduled activities as detailed via the Great Learning platform. |
| Note: | This unit is part of the Master of Applied Artificial Intelligence (Global) program and is restricted to international online students who reside outside Australia. |
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 requirements
To be eligible to obtain a pass in this unit, students must meet certain milestones as part of the Learning Portfolio.