Courses & Units
Artificial Intelligence KIT108
Introduction
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.
Summary
| Unit name | Artificial Intelligence |
|---|---|
| Unit code | KIT108 |
| 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 |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Introductory |
Availability
| 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 | ||
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
Enrolment in units available at ECA Melbourne, Hong Kong Universal Ed, and Shanghai Ocean University is only available to eligible students studying at those corresponding locations.
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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.
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).
Learning Outcomes
- Explain the fundamental concepts of Artificial Intelligence (AI) and its application in society currently and in the future
- Analyse and apply techniques to develop AI solutions to solve practical problems.
- 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
| Teaching Pattern | On-Campus Melbourne teaching arrangements may differ and will be advised by your teaching team. On-Campus enrolments in Hobart and Launceston: Lectures ("Seminars"): 2 hours/week For this unit, students are expected to attend lectures and on-campus lab classes (tutorials) and are expected to remain up-to-date with content delivered asynchronously online. |
|---|---|
| Assessment | Quizzes (weekly) (15%)|Tutorial Exercises (15%)|Software Application (30%)|Examination (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
N/A |
|---|---|
| Recommended | N/A | Links | Booktopia textbook finder |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.