COMP SCI 3317MELB - Using Machine Learning Tools
Career: | Undergraduate |
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Units: | 3 |
Term: | 4310 |
Campus: | Melbourne |
Restriction: | Available only to University of Adelaide College Melbourne Campus students |
Available for Study Abroad and Exchange: | |
Available for Non-Award Study: | No |
Pre-Requisite: | COMP SCI 2009 or COMP SCI 2103 or COMP SCI 2202 |
Assessment: | Assignments and quizzes |
Syllabus: |
An introduction to the use and application of key machine learning tools. Students will learn to build software that uses pre-existing toolkits as appropriate to solve a variety of machine learning problems. The course will have a practical focus using case studies and worked examples, with an emphasis on ensuring that solutions are valid and verifiable. |
Course Fees
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.
EFTSL | |||
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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 |
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4310 | Tue 14/03/2023 | Thu 23/03/2023 | Fri 05/05/2023 | Fri 09/06/2023 |
Class Details
Enrolment Class: Lecture | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
20286 | LE01 | 20 | 17 | 28 Feb - 4 Apr | Tuesday | 8am - 9am | 370 Docklands, 315, Teaching Room |
25 Apr - 30 May | Tuesday | 8am - 9am | 370 Docklands, 315, Teaching Room | ||||
Automatic Enrolment Class: Workshop | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
20287 | WR01 | 20 | 17 | 28 Feb - 4 Apr | Tuesday | 9am - 10am | 370 Docklands, 315, Teaching Room |
25 Apr - 30 May | Tuesday | 9am - 10am | 370 Docklands, 315, Teaching Room |