Applied Machine Learning UG

Undergraduate | 2026

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Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
COMP 1045
Course ID icon
Course ID
205773
Campus icon
Campus
Adelaide City Campus East
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Comp Sc & IT
Course coordinator
Course coordinator
Qi Wu
Course level icon
Course level
1
Work Integrated Learning course
Work Integrated Learning course
No
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

This course surveys the practical application of machine learning in modern organisations and society. Case studies will be used to demonstrate current best practice as well as common pitfalls. You will learn processes for tool-selection based on requirements and available resources; verifying and validating discovered models and how to apply results in real environments; and information resources for tracking technological advances.

Course learning outcomes

  • Understand when and why machine learning tools are used in industries.
  • Select an appropriate method and tool for a given problem and data set
  • Distinguish problems and data sets that are amenable to machine learning methods from those that are not
  • Analyse results and solutions to verify their correctness and identify sources of error
  • Compare the significance and validity of solutions obtained by multiple methods
  • Design data management procedures to enable accurate application of machine learning

Availability

Census date Icon
Census date
Fri 04/09/2026
Enrol by date
Enrol by date
Fri 21/08/2026
Last day to W
Last day to W
Fri 18/09/2026
Last day to WF
Last day to WF
Fri 16/10/2026

Class details

Adelaide City Campus East

Class number
Class number 54699
Section
Section LE01
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
6 Aug - 24 Sep Thursday 11:10am - 1pm Adelaide City Campus East Horace Lamb, 1022
15 Oct - 12 Nov Thursday 11:10am - 1pm Adelaide City Campus East Horace Lamb, 1022
Class number
Class number 54700
Section
Section WS01
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
3 Aug - 21 Sep Monday 12:10pm - 1pm Adelaide City Campus East Playford, P5-34
12 Oct - 9 Nov Monday 12:10pm - 1pm Adelaide City Campus East Playford, P5-34

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed COMPSCI4416 Applied Machine Learning UG at the University of Adelaide

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

N/A

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Study Abroad student tuition fees are available here.

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.