Courses & Units

Introduction to Artificial Intelligence KIT509


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
Unit code KIT509
Credit points 12.5
College/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator Doctor Shuxiang Xu
Delivered By University of Tasmania
Level Postgraduate


Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic
Launceston Semester 1 On-Campus International Domestic
ECA Melbourne Semester 1 On-Campus International


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 26/2/2024 22/3/2024 15/4/2024 2/6/2024

* 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 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • 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

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
020119 $1,118.00 $1,118.00 not applicable $2,648.00

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.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.


Teaching Pattern

One hour lecture weekly, two hour tutorial weekly - For this unit, students are expected to attend on-campus tutorials; an online tutorial will be available for students with special circumstances (permission is required to attend the online tutorial)

AssessmentTutorial Exercises (15%)|Weekly tests (15%)|Assignment (30%)|Examination (40%)
TimetableView the lecture timetable | View the full unit timetable



Required readings will be listed in the unit outline prior to the start of classes.

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