Units / MAT1003
MAT1003 · Mathematics for algorithms and models
2027 Handbook6 credit pointsLevel 1Faculty of Information Technology
Overview
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.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Some activities have a choice of on-campus or online teaching activities (FLEXIBLE) |
| Clayton | Second semester | Some activities have a choice of on-campus or online teaching activities (FLEXIBLE) |
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook publishes no assessment items for this unit yet.
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Explain how calculus and linear algebra concepts support computational models, algorithms, data representations and artificial intelligence methods;
- Interpret and work with structured data using mathematical representations, including vectors, matrices, functions and numerical summaries, to support computational analysis;
- Use computational tools to explore, visualise and apply mathematical concepts involving vectors, matrices, functions, derivatives, integrals and optimisation;
- Communicate mathematical reasoning and computational interpretations using appropriate notation, terminology, worked solutions and visual representations;
- Plan, monitor and reflect on your development of mathematical fluency through focused practice, feedback and responsible use of learning supports.
Workload
No workload detail published.
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