University Course Planner The University of Adelaide Australia

COMP SCI 7416 - Applied Machine Learning

Career: Postgraduate Coursework
Units: 3
Term: 4320
Campus: North Terrace
Contact: Up to 3 hours per week
Available for Study Abroad and Exchange:
Available for Non-Award Study: No
Assumed Knowledge: COMP SCI 7317
Assessment: Assignments; Group projects based.
Syllabus:

This course surveys the practical application of machine learning in modern organisations and society. Case studies will be used to demonstrate current best practice as well as common pitfalls. You will learn processes for tool-selection based on requirements and available resources; verifying and validating discovered models and how to apply results in real environments; and information resources for tracking technological advances.

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
4320 Mon 07/08/2023 Wed 16/08/2023 Fri 15/09/2023 Fri 27/10/2023


Class Details

Enrolment Class: Seminar
Class Nbr Section Size Available Dates Days Time Location
25430 SE01 90 16 25 Jul - 12 Sep Tuesday 2pm - 4pm Badger, G31, Macbeth Lecture Theatre
3 Oct - 24 Oct Tuesday 2pm - 4pm Badger, G31, Macbeth 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
20050 WR03 44 39 2 Aug - 2 Aug Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
16 Aug - 16 Aug Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
30 Aug - 30 Aug Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
13 Sep - 13 Sep Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
11 Oct - 11 Oct Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
25 Oct - 25 Oct Wednesday 3pm - 4pm Ingkarni Wardli, B17, Teaching Room
Note: This class is only available for face-to-face (on-campus) students.
20051 WR02 44 6 2 Aug - 2 Aug Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
16 Aug - 16 Aug Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
30 Aug - 30 Aug Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
13 Sep - 13 Sep Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
11 Oct - 11 Oct Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
25 Oct - 25 Oct Wednesday 2pm - 3pm Ingkarni Wardli, B17, Teaching Room
Note: This class is only available for face-to-face (on-campus) students.
20052 WR01 37 6 3 Aug - 3 Aug Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
17 Aug - 17 Aug Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
31 Aug - 31 Aug Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
14 Sep - 14 Sep Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
12 Oct - 12 Oct Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
26 Oct - 26 Oct Thursday 2pm - 3pm Barr Smith South, 2040, Teaching Room
Note: This class is only available for face-to-face (on-campus) students.