University Course Planner The University of Adelaide Australia

TECH 1004 - Artificial Intelligence Technologies

Career: Undergraduate
Units: 3
Term: 4120
Campus: North Terrace
Contact: Up to 4 hours per week
Restriction: Not available to BCompSci, B MathsCompSci, BCompSci(Adv) and BE(Hons)(Soft) students
Available for Study Abroad and Exchange: No
Available for Non-Award Study: Check with School
Assessment: Practical exercises, workshops, case studies and a final exam.
Syllabus:

This course will provide students with introductory knowledge and skills in the application of modern AI tools and techniques. The course introduces Python, a key language for developing modern AI applications. The course then demonstrates how to run, modify and build Python implementations of current AI technologies including, standard and new machine learning and deep learning tools. The course will have a strong emphasis how to best make use of the large range of materials, and tutorials that are released with new AI frameworks. In particular, the course will develop a high-level understanding of the key concepts and terminology allowing students to make use of new frameworks as they emerge. Assessment can include practical exercises, workshops, case studies and a final exam.

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
4120 Mon 09/08/2021 Wed 18/08/2021 Fri 17/09/2021 Fri 29/10/2021


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
21785 LE01 20 2 26 Jul - 13 Sep Monday 1pm - 2pm Napier, 208, Lecture Theatre
30 Jul - 17 Sep Friday 11am - 12pm Engineering Nth, N132, Teaching Room
4 Oct - 25 Oct Monday 1pm - 2pm Napier, 208, Lecture Theatre
8 Oct - 29 Oct Friday 11am - 12pm Engineering Nth, N132, Teaching Room
Note: These lectures are live-streamed and recorded. You have the option of participating during the live-streaming session or any time after they are published in MyUni. Please check MyUni once enrolled for details regarding when lectures will be published.
Related Class: Practical
Class Nbr Section Size Available Dates Days Time Location
21565 PR01 20 2 10 Aug - 10 Aug Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
17 Aug - 17 Aug Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
24 Aug - 24 Aug Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
31 Aug - 31 Aug Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
7 Sep - 7 Sep Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
14 Sep - 14 Sep Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
5 Oct - 5 Oct Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
12 Oct - 12 Oct Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
19 Oct - 19 Oct Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
26 Oct - 26 Oct Tuesday 9am - 11am Ingkarni Wardli, 236, CAT Suite
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.