University Course Planner The University of Adelaide Australia

COMP SCI 3317 - Using Machine Learning Tools

Career: Undergraduate
Units: 3
Term: 4210
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.

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
4210 Tue 15/03/2022 Thu 24/03/2022 Fri 06/05/2022 Fri 10/06/2022


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
20248 LE01 70 FULL 28 Feb - 4 Apr Monday 5:30pm - 6:30pm MyUni, OL, Online Class
25 Apr - 30 May Monday 5:30pm - 6:30pm MyUni, OL, Online Class
Note: This class is delivered entirely online.
Related Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
20249 WR01 31 FULL 1 Mar - 5 Apr Tuesday 9am - 10am Ingkarni Wardli, 234, CAT Suite
26 Apr - 31 May Tuesday 9am - 10am Ingkarni Wardli, 234, CAT Suite
Note: This class is only available for face-to-face (on-campus) students.
20250 WR02 39 FULL 3 Mar - 7 Apr Thursday 1pm - 2pm MyUni, OL, Online Class
28 Apr - 2 Jun Thursday 1pm - 2pm MyUni, OL, Online Class
Note: This class is for offshore / interstate students only. Where this requirement is not met, students risk being removed from this class. Please refer to MyUni for details once enrolled.