This unit will only have online classes in 2022. All lectures and tutorials will be available online only.
This unit is designed to give students an insight into a range of Artificial Intelligence (AI) techniques. AI is an emerging branch of Information and Communication Technology which has created an array of disruptions in multiple industries. The AI techniques leverage the computational power of machines to deal with complex tasks which normally require human intelligence. Students will learn the two main streams of AI including Knowledge-Driven AI and Data-Driven AI as well as current advanced AI techniques which have been used by giant tech companies like Google, Amazon, IBM and Microsoft.
With the technologies discussed in the lecture, it brings together the state-of-the-art research and practical techniques in AI, providing students with the knowledge and capacity to conduct AI research and to develop AI applications. Students will have a chance to master advanced AI tools and APIs to explore and specialise their understanding, and also be required to use these technologies to develop an AI application.
At the end of this unit, a student should understand the fundamental AI technologies and be able to provide design recommendations for a particular AI application.
|Unit name||Introduction to Artificial Intelligence|
|College/School||College of Sciences and Engineering
School of Information and Communication Technology
|Discipline||Information & Communication Technology|
|Coordinator||Professor Byeong Kang|
|Delivered By||University of Tasmania|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
|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 concepts of Artificial Intelligence (AI) and its application in society currently and in the future
- Create and evaluate AI applications using AI development techniques and tools
- Explain the human intelligence approaches behind various AI techniques
|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.
|Assessment||Weekly tests (15%)|Tutorial Exercises (15%)|Examination (40%)|Assignment (30%)|
|Timetable||View the lecture timetable | View the full unit timetable|
Required readings will be listed in the unit outline prior to the start of classes.
|Links||Booktopia textbook finder|
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