COMP SCI 7327 - Concepts in Artificial Intelligence and Machine Learning
Career: | Postgraduate Coursework |
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Units: | 3 |
Term: | Trimester 1 |
Campus: | North Terrace |
Contact: | Up to 4 hours per week |
Available for Study Abroad and Exchange: | No |
Available for Non-Award Study: | No |
Incompatible: | COMP SCI 3007 |
Assessment: | Practical exercises, workshops, case studies and/or 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
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.
EFTSL | |||
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0.125 |
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Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
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Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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Trimester 1 | Mon 13/02/2023 | Thu 16/02/2023 | Fri 31/03/2023 | Wed 26/04/2023 |
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Class Details
Enrolment Class: Computer Exercise | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
30086 | CO01 | 44 | 6 | 3 Feb - 12 May | Friday | 3pm - 5pm | Ingkarni Wardli, B15, CAT Suite | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. |
Related Class: Practical | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
30154 | PR01 | 44 | 6 | 30 Jan - 8 May | Monday | 2pm - 4pm | Benham, G25, Peter Martin Room | Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled. |
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