Courses & Units

Artificial Intelligence KIT108

Note:

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	Professor Byeong Kang
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

Key

: On-campus
: Off-Campus
: International students
: Domestic students

Note

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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	20/2/2023	21/3/2023	10/4/2023	28/5/2023

* 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 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

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

Field of Education	Commencing Student Contribution ^1,3	Grandfathered Student Contribution ^1,3	Approved Pathway Course Student Contribution ^2,3	Domestic Full Fee ⁴
029999	$1,037.00	$1,037.00	not applicable	$2,522.00

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	Lectures: 2 hours/week Tutorials: 2 hours/week - 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)
Assessment	Quizzes (weekly) (15%)\|Examination (40%)\|Tutorial Exercises (15%)\|Software Application (30%)
Timetable	View the lecture timetable \| View the full unit timetable

Textbooks

Required	N/A
Recommended	N/A
Links	Booktopia textbook finder

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