Courses & Units

Topics in Artificial Intelligence (Elite) KIT315



This unit might be offered in 2017, subject to enrolment numbers


This unit will extend the treatment of two or three of the areas of AI introduced in KIT108, adding more depth and having a more technical focus. The specific topics may vary between years, reflecting the expertise of the staff involved in offering the unit in particular years. Students should contact the unit coordinator each year to find out the topics for that year.  Possible topics include: Data mining / machine learning (including neural networks), computer vision, genetic algorithms, real-time aspects of AI, knowledge based systems and robotics, AI in Games.


Unit name Topics in Artificial Intelligence (Elite)
Unit code KIT315
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Technology, Environments and Design
Discipline Information & Communication Technology
Teaching staff

Byeong Kang

Level Advanced
Available as student elective? Yes
Breadth Unit? No


Location Study period Attendance options Available to
Hobart Intensive Session Jun On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Intensive Session Jun 24/6/2019 28/6/2019 4/7/2019 14/7/2019

* 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 (see withdrawal dates explained for more information).

Unit census dates currently displaying for 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.

About Census Dates



Band CSP Student Contribution Full Fee Paying (domestic) Field of Education
2 2019: $1,169.00 2019: $2,321.00 029999

Fees for next year will be published in October. The fees above only apply for the year shown.

Please note: international students should refer to this page to get an indicative course cost.


KIT108 and DN/HD in KIT205 or KIT206 or KIT305 or KIT307

Mutual Exclusions

You cannot enrol in this unit as well as the following:

  • KIT415


Teaching Pattern

 Three weeks of intensive classes, with extra classes for interactive assessment tasks.


100% in-semester (3 assignments 30%, 30%, 40%)

TimetableView the lecture timetable | View the full unit timetable


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