FIT1061 · Monash University
Artificial intelligence algorithm foundations
- Credit points
- 6
- Level
- 1
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
This unit introduces you to the field of Artificial Intelligence (AI) as a specialisation within Computer Science. It provides an overview of the foundations of AI, including the history, key concepts, and applications across diverse domains such as language, vision, and intelligent decision-making. You will explore introductory AI problem-solving techniques and develop a basic understanding of how AI systems are designed to emulate aspects of intelligence. In parallel, the unit equips you with the essential mathematical and computational foundations required for later AI units. These include fundamental concepts from linear algebra and vector calculus, introduced in the context of solving simple AI-related problems such as classification and optimisation. Practical labs emphasise hands-on engagement through simulations, mathematical reasoning, and basic AI model-building, along with reflection on the societal and ethical implications of AI technologies.
Assessment
| Task | Type | Weight |
|---|---|---|
| Portfoliohurdle | Portfolio | 100% |
| In class testshurdle | Quiz / Test | 0% |
Hurdle tasks must be passed regardless of your overall mark.
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On-campus |
| Clayton | On-campus | |
| Second semester | Clayton | On-campus |
| Malaysia | On-campus |