University Course Planner The University of Adelaide Australia

COMP SCI 7317 - Using Machine Learning Tools PG

Career: Postgraduate Coursework
Units: 3
Term: Trimester 2
Campus: North Terrace
Contact: Up to 3 hours per week
Restriction: Students enrolled in Grad Cert, Grad Dipl and M Cyber Security, M Data Science, Grad Cert, Grad Dip and Master of Artif Intellig& Machine Learning, M Comp & Innovation or M Computer Science, GDip.Eng and M.Eng only
Available for Study Abroad and Exchange: No
Available for Non-Award Study: No
Pre-Requisite: COMP SCI 7202 or (COMP SCI 7210 and COMP SCI 7211); M. Computer Science students are exempted from this pre-req requirement
Assumed Knowledge: Programming experience
Assessment: Assignments & quizzes

In this course, the students will learn about the fundamentals of machine learning and how to utilise and apply some of the most commonly used tools. The students will learn how to create software that allows the use of pre-existing toolkits when appropriate in order to solve a variety of machine learning problems. The course will have a strong practical component, with case studies and worked examples being used to emphasise the importance of legitimate and verifiable solutions.

Course Fees

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Student Status


What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Postgraduate Coursework
Non Award

Program of Study

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 fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here

Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Trimester 2 Mon 03/06/2024 Thu 06/06/2024 Fri 19/07/2024 Wed 14/08/2024

Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
33064 LE01 150 21 22 May - 14 Aug Wednesday 1pm - 2pm Napier, G04, Lecture Theatre
Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled.
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
33002 WR02 50 19 23 May - 15 Aug Thursday 5pm - 7pm Ingkarni Wardli, 234, CAT Suite
33016 WR03 50 2 20 May - 12 Aug Monday 1pm - 3pm Ingkarni Wardli, 234, CAT Suite
33063 WR01 50 FULL 20 May - 12 Aug Monday 11am - 1pm Ingkarni Wardli, B23, CAT Suite