Large Language Models and Applications

Postgraduate | 2026

Course page banner
Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
COMP 6012
Course ID icon
Course ID
201689
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
Mathematical Sciences
Course coordinator
Course coordinator
Elizabeth Tait
Course level icon
Course level
2
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.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes

Course overview

This course provides an in-depth exploration of large language models (LLMs), focusing on advanced principles underlying their architecture, development, and deployment. Students will engage in training, fine-tuning, and benchmarking LLMs, while critically analysing their capabilities and limitations across diverse downstream applications. Through extensive hands-on practicals, students will develop proficiency in building personalised AI agents with ethic consideration and adopt responsible approaches for their application in both industry and academia.

  • Foundations of Large Language Models
  • Training and Enhancing LLMs
  • Downstream Applications of LLMs

Course learning outcomes

  • Identify and explain the foundational principles of LLMs, including architecture, data sources, training pipelines, benchmarking, and ethical/societal considerations.
  • Critically evaluate existing LLM architectures and training strategies, identifying their capabilities, limitations, and emerging trends.
  • Apply practical techniques to train, fine-tune, and deploy LLMs, addressing performance limitations identified during evaluation.
  • Design methods to enhance inference speed and reasoning capabilities, and extend LLM knowledge through techniques such as prompting, augmentation, and chaining.
  • Develop and apply LLM-based solutions for real-world downstream applications across diverse domains and consider ethical/societal factors.

Availability

Census date Icon
Census date
Fri 27/03/2026
Enrol by date
Enrol by date
Fri 13/03/2026
Last day to W
Last day to W
Fri 10/04/2026
Last day to WF
Last day to WF
Fri 08/05/2026

Class details

Mawson Lakes

Class number
Class number 24960
Section
Section FR01
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
24 Feb - 14 Apr Tuesday 1:10pm - 3pm Mawson Lakes ,
5 May - 2 Jun Tuesday 1:10pm - 3pm Mawson Lakes ,
Class number
Class number 24074
Section
Section PR01
Size
Size 20
Available
Available 20
Dates Days Time Campus Location Instructor
4 Mar - 15 Apr Wednesday 1:10pm - 2pm Mawson Lakes Building P, P1-13
6 May - 3 Jun Wednesday 1:10pm - 2pm Mawson Lakes Building P, P1-13
Class number
Class number 24073
Section
Section PR02
Size
Size 20
Available
Available 20
Dates Days Time Campus Location Instructor
4 Mar - 15 Apr Wednesday 2:10pm - 3pm Mawson Lakes Building P, P1-13
6 May - 3 Jun Wednesday 2:10pm - 3pm Mawson Lakes Building P, P1-13

Adelaide City Campus East

Class number
Class number 24961
Section
Section FR01
Size
Size 60
Available
Available 60
Dates Days Time Campus Location Instructor
24 Feb - 14 Apr Tuesday 10:10am - 12pm Adelaide City Campus East MyUni, Online
5 May - 2 Jun Tuesday 10:10am - 12pm Adelaide City Campus East MyUni, Online
Class number
Class number 24962
Section
Section PR01
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
3 Mar - 14 Apr Tuesday 2:10pm - 3pm Adelaide City Campus East Engin and Maths Sciences, G13
5 May - 2 Jun Tuesday 2:10pm - 3pm Adelaide City Campus East Engin and Maths Sciences, G13
Class number
Class number 24963
Section
Section PR02
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
3 Mar - 14 Apr Tuesday 1:10pm - 2pm Adelaide City Campus East Ingkarni Wardli, 2.36
5 May - 2 Jun Tuesday 1:10pm - 2pm Adelaide City Campus East Ingkarni Wardli, 2.36

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

Mawson Lakes

Class number
Class number 55070
Section
Section FR01
Size
Size 40
Available
Available 40
Dates Days Time Campus Location Instructor
5 Aug - 23 Sep Wednesday 1:10pm - 3pm Mawson Lakes ,
14 Oct - 11 Nov Wednesday 1:10pm - 3pm Mawson Lakes ,
Class number
Class number 55071
Section
Section PR01
Size
Size 20
Available
Available 20
Dates Days Time Campus Location Instructor
13 Aug - 24 Sep Thursday 1:10pm - 2pm Mawson Lakes Building F, F1-13
15 Oct - 12 Nov Thursday 1:10pm - 2pm Mawson Lakes Building F, F1-13
Class number
Class number 55072
Section
Section PR02
Size
Size 20
Available
Available 20
Dates Days Time Campus Location Instructor
13 Aug - 24 Sep Thursday 2:10pm - 3pm Mawson Lakes Building F, F1-13
15 Oct - 12 Nov Thursday 2:10pm - 3pm Mawson Lakes Building F, F1-13

Adelaide City Campus East

Class number
Class number 55073
Section
Section FR01
Size
Size 60
Available
Available 60
Dates Days Time Campus Location Instructor
4 Aug - 22 Sep Tuesday 10:10am - 12pm Adelaide City Campus East MyUni, Online
13 Oct - 10 Nov Tuesday 10:10am - 12pm Adelaide City Campus East MyUni, Online
Class number
Class number 55074
Section
Section PR01
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
12 Aug - 23 Sep Wednesday 11:10am - 12pm Adelaide City Campus East Engin and Maths Sciences, 106
14 Oct - 11 Nov Wednesday 11:10am - 12pm Adelaide City Campus East Engin and Maths Sciences, 106
Class number
Class number 55075
Section
Section PR02
Size
Size 30
Available
Available 30
Dates Days Time Campus Location Instructor
12 Aug - 23 Sep Wednesday 10:10am - 11am Adelaide City Campus East Ingkarni Wardli, B.23
14 Oct - 11 Nov Wednesday 10:10am - 11am Adelaide City Campus East Ingkarni Wardli, B.23

Prerequisite(s)

  • must have completed all of COMP5002 Problem Solving and Programming Foundations/MATH5110 Mathematics for Data Analytics B

Corequisite(s)

N/A

Antirequisite(s)

N/A

Fee calculator

To display course fees, please select your status and program below:

We’re updating this Fee Calculator. It currently shows fees for programs only. Please check the relevant program for full fee details.

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.

Degree list
The following degrees include this course