MAT1003 · Monash University
Mathematics for algorithms and models
- Credit points
- 6
- Level
- 1
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
Mathematics gives computing its ability to model, optimise and reason about the world. This unit develops the calculus and linear algebra needed to understand how computational models work, how algorithms represent change, and how data, systems and artificial intelligence methods can be described mathematically. You will learn to use vectors, matrices, functions, limits, derivatives, integrals and multivariable ideas in computing contexts such as classification, optimisation, simulation, graphics, data analysis and model behaviour. The unit emphasises mathematical reasoning, interpretation and problem solving, helping you connect symbolic, numerical, graphical and computational representations. Through guided practice and computational activities, you will develop confidence in applying mathematical tools to analyse problems, explain computational behaviour, and prepare for later study in algorithms, artificial intelligence, data science, computer graphics, simulation and optimisation.
Assessment
| Task | Type | Weight |
|---|---|---|
| Learning Portfolio | Portfolio | 100% |
| Test | Quiz / Test | 0% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| Malaysia | On-campus | |
| Second semester | Clayton | Flexible |
| Malaysia | On-campus |