MAT1003 Mathematics for algorithms and models
Faculty of Information Technology
MAT1003 Mathematics for algorithms and models is a level 1, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 1 and Semester 2 at Clayton and Malaysia. It has no prerequisites and unlocks 5 units, leading on to 13 units in all.
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Clayton, Malaysia
Reviews
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Requisites
Before MAT1003
No prerequisites or corequisites besides the enrolment rules below.
After MAT1003
5 units list MAT1003 as a prerequisite or corequisite.
- FIT2111Symbolic artificial intelligence and machine learningNo reviews yet
- FIT4047Computational modelling and simulationNo reviews yet
- FIT4050Knowledge representation, computational logic, and automated reasoningNo reviews yet
- FIT4051Advanced algorithms and data structuresNo reviews yet
- FIT5240Quantum computingNo reviews yet
Enrolment rules
Prerequisite: VCE Specialist Mathematics or Mathematical Methods units 3 and 4 with a study score of at least 25.
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 in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| First semester | Malaysia | On campus |
| Second semester | Clayton | Flexible |
| Second semester | Malaysia | On campus |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Explain how calculus and linear algebra concepts support computational models, algorithms, data representations and artificial intelligence methods;
- 2
Interpret and work with structured data using mathematical representations, including vectors, matrices, functions and numerical summaries, to support computational analysis;
- 3
Use computational tools to explore, visualise and apply mathematical concepts involving vectors, matrices, functions, derivatives, integrals and optimisation;
- 4
Communicate mathematical reasoning and computational interpretations using appropriate notation, terminology, worked solutions and visual representations;
- 5
Plan, monitor and reflect on your development of mathematical fluency through focused practice, feedback and responsible use of learning supports.
Where it fits
MAT1003 is part of 3 areas of study in the 2027 handbook.
Common questions
What are the prerequisites for MAT1003?
MAT1003 has no prerequisites, but enrolment rules apply.
What can I take after MAT1003?
MAT1003 is a prerequisite or corequisite for 5 units, including FIT2111, FIT4047, FIT4050, FIT4051 and FIT5240. Those lead on to 13 units in all.
When is MAT1003 offered?
In 2027, MAT1003 runs in Semester 1 and Semester 2 at Clayton and Malaysia.
Which majors and minors include MAT1003?
MAT1003 is part of Artificial intelligence algorithms and models; Computer science; and Data science.
More details
- Credit points
- 6
- Level
- 1
- Study level
- Undergraduate
- Faculty
- Faculty of Information Technology
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Available
- Handbook years
- 2027