COS40007 · Swinburne University of Technology
Artificial Intelligence Engineering
- Credit points
- 12.5
- Level
- 4
- Workload
- ≈ 13 h / week
- Faculty
- Information Technology
What it covers
This unit of study aims to equip engineers with both theoretical knowledge and practical skills to design, implement, and evaluate Artificial Intelligence (AI) and Machine Learning (ML) solutions for complex engineering challenges. It emphasises developing proficiency in selecting suitable algorithms, optimising system performance, and considering ethical aspects, while bridging the gap between Artificial Intelligence (AI) theory and engineering applications. The course prepares professionals to deploy intelligent systems efficiently and communicate technical solutions across multidisciplinary teams.
Assessment
| Task | Type | Weight |
|---|---|---|
| Applied Project | Individual/Group | 60% |
| Portfolio | Individual | 60% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Semester 1 | Hawthorn | On campus |