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SEE326 - Artificial Intelligence for Autonomous Systems

Unit details

Year2016 unit information
Offering information:

SEE326 will be offered in Trimester 1 from 2017

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

Matthew Joordens

Prerequisite:

SIT172

Prerequisite from 2017: SER202

Corequisite:

Nil

Incompatible with: SEE435
Contact hours:

Campus: Weeks 1-5: 3 hours per week of class/seminar per week.  Weeks 6-11: 1x3 hour practical per week.

Cloud (online): Learning experiences are via CloudDeakin.

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

Progress Report 20%, Project 50%, Final Report 30%.

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