SIT319 - Advanced Topics in Artificial Intelligence
| Year: | 2020 unit information |
|---|---|
| Offering information: | Offered from 2022 (Subject to final approval) |
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Cloud (Online) |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Prerequisite: | SIT114 and SIT215 and SIT292 |
| Corequisite: | Nil |
| 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 workshop per week |
| Scheduled learning activities - cloud (online) | 1 x 1 hour scheduled online workshop per week |
Content
This unit investigates several advanced topics in artificial intelligence (AI), including deep learning, reinforcement learning, natural language processing, and computer visions. In the practical components, you will design and implement AI solutions using a programming language such as Python.
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
Click on the fee link below which describes you: