Possible topics include: Data mining / machine learning (including neural networks), computer vision, genetic algorithms, real-time aspects of AI, knowledge based systems and robotics.
|Unit name||Topics in Artificial Intelligence (Elite)|
|Faculty/School||Faculty of Science, Engineering & Technology
School of Engineering & ICT
|Discipline||Computing and Information Systems|
|Available as student elective?||Yes|
|Location||Study period||Attendance options||Available to|
|Hobart||Intensive Session Jun||On-Campus||International||Domestic|
- 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.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
|Intensive Session Jun||22/6/2015||26/6/2015||2/7/2015||12/7/2015|
* 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 2015 are indicative and subject to change. Finalised census dates for 2015 will be available from the 1st October 2014.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2015: $1,096.00||2015: $2,065.00||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.
- DN/HD in KIT205 or KXT201 or KIT206 or KIT307 or KIT305 or KXT304 or KXT305) and (KXT306 or KIT108)
You cannot enrol in this unit as well as the following:
|Teaching Pattern||Two weeks of intensive classes (one week for each topic), with extra classes for interactive assessment tasks.|
|Assessment||100% in-semester (50% of assessment will be devoted to each topic, assessment tasks will include reports and development)|
|Timetable||View the lecture timetable | View the full unit timetable|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.