Science, Engineering and Technology

KXT306

2012  KXT306  Artificial Intelligence

Unit Level: Advanced

Available as a Student Elective: Yes

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OFFERINGS

Unit Sem 1 Sem 2 Full Yr Spring Summer Winter KXT306 H,L Key Semester Dates Semester Campus Attendance Note Start Date Census Date Final WW Date* End Date Sem 1 H On Campus 27-FEB-2012 23-MAR-2012 16-APR-2012 01-JUN-2012 Sem 1 L On Campus 27-FEB-2012 23-MAR-2012 16-APR-2012 01-JUN-2012 *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). This unit can be taken in other courses About Census Dates

DESCRIPTION

This unit introduces the basic principles of knowledge representation and search which underlie symbolic Artificial Intelligence and illustrates these principles by enabling students to represent and manipulate knowledge in small AI systems, using the Prolog computer language. The unit also describes the application of these principles in AI sub-fields, including expert systems, natural language understanding, planning, machine learning, intelligent agents, computer vision and robotics. Students also study non-symbolic approaches to AI, including neural networks, behavioural robotics and artificial life techniques.

WEIGHT:  12.5%

ASSESSMENT: In-semester assignments (30%), 3-hour final examination (70%)

TEACHING PATTERN: 3 lectures, 1 tutorial weekly

FLEXIBLE & ONLINE STUDY OPTIONS
Note: Class attendance may still be required

   Web dependent - H,L
Some parts of this unit will be taught online
   Resource supported teaching & learning - H,L
Additional resources are provided for your optional use; e.g. audio taped lectures
About Flexible Study Options

REQUISITE INFO

Prereq	KXT102 or KXG162 and one intermediate KXT unit
M.Excl	KXT252 or KXT206

TEXTS
Launceston Co-op Bookshop Website - Semester (Sem 1)
Hobart Co-op Bookshop Website - Semester (Sem 1)

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