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University Course Planner The University of Adelaide Australia

COMP SCI 3317 - Using Machine Learning Tools

Career: Undergraduate
Units: 3
Term: Semester 1
Campus: North Terrace
Contact: Up to 3 hours per week
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

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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.

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
Semester 1 Mon 17/03/2025 Thu 27/03/2025 Fri 09/05/2025 Fri 13/06/2025


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
10183 LE01 310 28 3 Mar - 7 Apr Monday 1pm - 2pm Helen Mayo Nth, 103N, Florey Lecture Theatre
28 Apr - 2 Jun Monday 1pm - 2pm Helen Mayo Nth, 103N, Florey 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
10070 WR09 44 10 4 Mar - 8 Apr Tuesday 1pm - 2pm Ingkarni Wardli, B15, CAT Suite
29 Apr - 3 Jun Tuesday 1pm - 2pm Ingkarni Wardli, B15, CAT Suite
10184 WR01 32 1 5 Mar - 9 Apr Wednesday 5pm - 6pm Ingkarni Wardli, 236, CAT Suite
30 Apr - 4 Jun Wednesday 5pm - 6pm Ingkarni Wardli, 236, CAT Suite
10185 WR02 32 FULL 5 Mar - 9 Apr Wednesday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
30 Apr - 4 Jun Wednesday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
10371 WR03 32 FULL 4 Mar - 8 Apr Tuesday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
29 Apr - 3 Jun Tuesday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
12398 WR04 32 FULL 5 Mar - 9 Apr Wednesday 9am - 10am Ingkarni Wardli, 236, CAT Suite
30 Apr - 4 Jun Wednesday 9am - 10am Ingkarni Wardli, 236, CAT Suite
12399 WR05 31 1 4 Mar - 8 Apr Tuesday 4pm - 5pm Engineering & Mathematics, EM106, Computer Suite
29 Apr - 3 Jun Tuesday 4pm - 5pm Engineering & Mathematics, EM106, Computer Suite
13073 WR08 32 1 3 Mar - 7 Apr Monday 2pm - 3pm Ingkarni Wardli, 236, CAT Suite
28 Apr - 2 Jun Monday 2pm - 3pm Ingkarni Wardli, 236, CAT Suite
14506 WR06 32 FULL 3 Mar - 7 Apr Monday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
28 Apr - 2 Jun Monday 4pm - 5pm Ingkarni Wardli, 236, CAT Suite
14507 WR07 32 4 3 Mar - 7 Apr Monday 3pm - 4pm Ingkarni Wardli, 236, CAT Suite
28 Apr - 2 Jun Monday 3pm - 4pm Ingkarni Wardli, 236, CAT Suite