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SEE326 - Artificial Intelligence for Autonomous Systems

Enrolment modes:Trimester 2: Waurn Ponds (Geelong), Cloud (online)
Credit point(s):1
EFTSL value: 0.125
Unit chair:

Matthew Joordens

Prerequisite:SIT172
Corequisite:

Nil

Incompatible with: SEE435
Contact hours:

1 x 2 hour class (weeks 1-6), 1 x 1 hour seminar(weeks 1-6), 1 x 3 hour practical (weeks 7-11).  Compulsory campus attendance requirement for all students either at scheduled sessions on multiple days during the trimester or on a single scheduled day during Week 8.   Typically Waurn Ponds (Geelong) enrolled students will attend the compulsory activities for this unit at scheduled sessions on multiple days during the trimester and Cloud (online) enrolled students will attend the compulsory activities for this unit on a single scheduled day during Week 8.

Note: You will need to access substantial learning resources and experiences in CloudDeakin (Deakin’s online learning environment). Compliance with the Standards in computing, connectivity and student capability are a condition on your enrolment.

Content

This unit introduces the fundamentals behind Artificial Intelligence (AI) and the different AI applications. It examines the various AI methods including: "A*" and other path finding systems, flocking, pattern, fuzzy logic, rule-base, probability, Bayesian techniques, neural networks and genetic algorithms.

Assessment

Three assignments (20%, 30%, 50%) 100%.  To be eligible to obtain a pass in this unit students must achieve at least 50% in the project demonstration (this includes an oral component that must be passed).  To be eligible to obtain a pass in this unit compulsory attendance is required by all students to unit-specific activities at Waurn Ponds (Geelong). These unit-specific activities may be undertaken either at scheduled sessions on multiple days during the trimester or during a single day of unit-specific activities scheduled during Week 8.

Unit Fee Information

Unit fee information available soon

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