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COMP SCI 7317 - Using Machine Learning Tools PG

Career: Postgraduate Coursework
Units: 3
Term: 4236
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
4236 Mon 06/06/2022 Thu 09/06/2022 Fri 22/07/2022 Wed 17/08/2022


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
33260 WR01 40 1 26 May - 18 Aug Thursday 11am - 1pm 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.
Related Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
33261 LE01 40 1 24 May - 16 Aug Tuesday 2pm - 3pm 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.