FIT2131 · Monash University
Practical artificial intelligence application and development
- Credit points
- 6
- Level
- 2
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
In this unit, you will develop a foundational understanding of key Artificial Intelligence paradigms, from early symbolic approaches to modern machine learning and deep learning. You will examine how historical efforts to build intelligent machines have reshaped our understanding of what “intelligence” means, alongside the ethical questions these shifts raise. You will explore a range of AI applications, such as game-playing systems, chatbots, recommender systems, and robotics, while analysing their capabilities, limitations, and explainability. Through guided hands-on activities, you will build a small AI system using contemporary tools and critically consider issues of bias, governance, and responsible AI use.
Assessment
| Task | Type | Weight |
|---|---|---|
| Learning project portfolio | Portfolio | 100% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Flexible |