MEC3822 · Monash University
Artificial intelligence in manufacturing
- Credit points
- 6
- Level
- 3
- Workload
- ≈ 12 h / week
- Faculty
- Engineering
What it covers
This unit aims to provide an understanding of how artificial intelligence (AI) techniques can be used to solve manufacturing problems. The topic covers various fundamental aspects of artificial intelligence such as heuristic, fuzzy logic, machine learning and genetic algorithms, along with their applications in manufacturing. Programming techniques will be used to construct practical solutions based on the appropriate AI techniques.
Assessment
| Task | Type | Weight |
|---|---|---|
| Lab 4: Neural networkshurdle | Written | 10% |
| Lab 5: Genetic algorithmshurdle | Written | 10% |
| Lab 1: Heuristic and search-based problem-solvinghurdle | Written | 10% |
| Final assessmenthurdle | Examination | 50% |
| Lab 2: Fuzzy logichurdle | Written | 10% |
| Lab 3: Introduction to machine learninghurdle | Written | 10% |
Hurdle tasks must be passed regardless of your overall mark.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On-campus |