IFN580 Machine Learning

Machine Learning, a core discipline in data science, powers everyday products such as movie selection, spam filters, and social media feeds. Machine learning involves automatically constructing models to explain and generalise datasets, integrating elements of statistics and algorithm development. Initially rooted in Artificial Intelligence, it encompasses various learning approaches. This unit provides students with the fundamental principles of machine learning, enabling them to apply supervised, unsupervised and semi-supervised learning methods, explore basic deep learning principles, and gain practical experience in solving industry-relevant data-driven problems. This introductory unit is suitable for students with diverse backgrounds in data science and other majors. It provides hands-on experience and empowers you with the essential skills and knowledge necessary to excel in an era driven by data and Artificial Intelligence.

Unit information

Unit code: IFN580
Faculty: Faculty of Science
School/Discipline: School of Computer Science
Study area: Science
Credit points: 12

Dates and locations

Teaching period	Dates	Locations
Semester 1, 2025	24 February 2025 - 21 June 2025	Gardens Point
Semester 2, 2025	21 July 2025 - 15 November 2025	Gardens Point

See all available class timetables for this unit

Fees

Commonwealth supported place (CSP) student contribution amount: 2025: $1,164
Domestic fee-paying student fee: 2025: $3,816
International student fee (excluding study abroad students): 2025: $5,352

Guide to fees

Commonwealth supported place (CSP) student contribution amount

For Australian citizens, permanent visa holders and permanent humanitarian visa holders, and New Zealand citizens who study this unit:

as part of a QUT course and are eligible for a Commonwealth supported place (CSP)
as a cross-institutional student who has a Commonwealth supported place at their home university.

Domestic fee-paying student fee

For Australian citizens, permanent visa holders and permanent humanitarian visa holders, and New Zealand citizens, who study this unit:

as part of a QUT course and are not eligible for a Commonwealth supported place (CSP)
as a cross-institutional student who does not have a Commonwealth supported place at their home university
as a single-unit study student.

International student fee

For international students who study this unit:

as part of a QUT course
as a cross-institutional student.

Previous study requirements

Prerequisites: ( IFN581 or IFN509 or IFN556 or IFQ556 or IFN555 or IFQ555) OR (192cps in IV04 or IV05 or EV08 or EV07) OR (admission into IV54 or IV59 or IV58 or IV60) OR (admission into IN17).

Guide to previous study requirements

Prerequisites: To enrol in this unit, you must have completed these prerequisite units (or have credit, advanced standing or exemption for them), or be able to demonstrate that you have equivalent background knowledge.
Anti-requisites: You can’t enrol in this unit if you have completed any of these anti-requisite units.
Co-requisites: To enrol in this unit, you must have already completed these co-requisite units, or you must enrol in them at the same time.
Equivalents: You can’t enrol in this unit if you have completed any of these equivalent units.
Assumed knowledge: We assume that you have a minimum level of knowledge in certain areas before you start this unit.

Unit outlines

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Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.