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COMP SCI 7317 - Using Machine Learning Tools PG

Career: Postgraduate Coursework
Units: 3
Term: 4336
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
Syllabus:

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

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
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.

Units
 EFTSL
Amount
3
 0.125
          
  


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
4336 Mon 05/06/2023 Thu 08/06/2023 Fri 21/07/2023 Wed 16/08/2023


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
33074 WR01 31 FULL 25 May - 17 Aug Thursday 2pm - 4pm Engineering & Mathematics, EM106, Computer Suite
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
33349 WR02 68 13 22 May - 14 Aug Monday 12pm - 2pm Ingkarni Wardli, B23, CAT Suite
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
33361 WR03 31 1 26 May - 18 Aug Friday 11am - 1pm Engineering & Mathematics, EM106, Computer Suite
Related Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
33075 LE01 160 44 26 May - 18 Aug Friday 10am - 11am Engineering Nth, N158, Chapman 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.