UnitLevel 1Undergraduate

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

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Requisites

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 periodCampusMode
First semesterClaytonFlexible
First semesterMalaysiaOn campus
Second semesterClaytonFlexible
Second semesterMalaysiaOn campus

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Explain how calculus and linear algebra concepts support computational models, algorithms, data representations and artificial intelligence methods;

  2. 2

    Interpret and work with structured data using mathematical representations, including vectors, matrices, functions and numerical summaries, to support computational analysis;

  3. 3

    Use computational tools to explore, visualise and apply mathematical concepts involving vectors, matrices, functions, derivatives, integrals and optimisation;

  4. 4

    Communicate mathematical reasoning and computational interpretations using appropriate notation, terminology, worked solutions and visual representations;

  5. 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