UnitLevel 9Postgraduate

MAT9004 Mathematical foundations for data science and AI

Faculty of Information Technology

MAT9004 Mathematical foundations for data science and AI is a level 9, 6-credit-point, postgraduate 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 9 units, leading on to 30 units in all.

Credit points
6
Offered in 2027
Semester 1, Semester 2
Clayton, Malaysia
Assessment
Exam 60%
and 1 other task
Workload
144 hours
per semester

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Requisites

Overview

Mathematical topics fundamental to computing and statistics including trees and other graphs, counting in combinatorics, principles of elementary probability theory, linear algebra, and fundamental concepts of calculus in one and several variables.

Offerings in 2027

Teaching periodCampusMode
First semesterClaytonFlexible
First semesterMalaysiaOn campus
Second semesterClaytonFlexible
Second semesterMalaysiaOn campus

Assessment

  • Continuous assessmentQuiz / Test
    40%
  • Scheduled final assessment (3 hours and 10 minutes)Examination
    60%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

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

  1. 1

    Use trees and graphs to solve problems in computer science;

  2. 2

    Apply counting principles in combinatorics;

  3. 3

    Describe the principles of elementary probability theory, evaluate conditional probabilities and use Bayes' Theorem;

  4. 4

    Demonstrate basic knowledge and skills of linear algebra, including the manipulation of matrices, solution of linear systems, and evaluate and apply determinants;

  5. 5

    Explain fundamental concepts in calculus including basic differentiation and integration, and composite, inverse and parametric functions;

  6. 6

    Perform key skills in the calculus of functions of several variables including the calculation of partial derivatives, find tangent planes and identify stationary points, root findings and convexity for optimisation.

Workload and teaching

  • Applied sessions22 hours
  • Seminars36 hours
  • Teaching approachPeer assisted learning

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. Scheduled activities may include a combination of teacher directed learning and online engagement.

On-campus

Learning resources

Recommended resources

This unit covers many standard mathematical skills, so you'll find many useful resources online.

We recommend the following sections of Strang's "Calculus"

Functions: 1.1, 1.2
Single variable calculus: 1.3, 2.1, 2.2, 3.2, 5.1, 5.2, 6.2, 6.4
Linear algebra: 11.2, 11.4, 11.5, 16.1
Multivariable calculus: 13.1, 13.2, 13.4
Probability: 8.4
Graphs and combinatorics: 16.3

Contacts

Chief Examiners
Dr Gregory Markowsky
Unit Coordinators
Ms Wong Foong Wei
Dr Sheila Ilangovan

Common questions

What are the prerequisites for MAT9004?

MAT9004 has no prerequisites.

What can I take after MAT9004?

MAT9004 is a prerequisite or corequisite for 9 units, including FIT5047, FIT5197, FIT5201, FIT5215, FIT5222 and FIT5226. Those lead on to 30 units in all.

When is MAT9004 offered?

In 2027, MAT9004 runs in Semester 1 and Semester 2 at Clayton and Malaysia.

How much work is MAT9004?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does MAT9004 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 1 other task.

More details

Credit points
6
Level
9
Study level
Postgraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available