The unit provides an introduction to many AI sub-fields, including: expert systems, machine learning, natural language processing, computer vision, intelligent agents. Students will be exposed to state-of-the-art examples as well as emerging technologies and get practical experience of solving interesting problems in each of these sub-fields.
The unit covers the definition of Artificial Intelligence and its subfields; introduces foundational logic and knowledge representation; and considers social, ethical, and philosophical consequences of the theory and practice of AI. Students will learn different perspectives on the approach to creating AI, its purpose, and its validity.
The unit will highlight the increasingly important social and economic roles of AI and will feature guest lectures from research and/or industry experts to highlight current research directions and deepen students' understanding of specific topics.
|Unit name||Artificial Intelligence|
|College/School||College of Sciences and Engineering
School of Information and Communication Technology
|Discipline||Information & Communication Technology|
|Coordinator||Professor Byeong Kang|
|Available as student elective?||Yes|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
- explain the local and global impact of AI on individuals, organisations, and society.
- adapt techniques for acquiring, representing, and reasoning with data, information, and knowledge.
- identify and apply techniques to develop AI solutions to solve practical problems.
- select and implement evaluation methods to identify suitable AI approaches for a problem.
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Lectures: 2 hours/week
|Assessment||Quizzes (weekly) (15%)|Examination (50%)|Tutorial Exercises (15%)|Software Application (20%)|
|Timetable||View the lecture timetable | View the full unit timetable|
|Links||Booktopia textbook finder|
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