SEE326 - Artificial Intelligence for Autonomous Systems

Year:

2020 unit information

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

SIT172

Corequisite:

Nil

Incompatible with: SEE435
Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

3 hours of class/seminar per week (weeks 1-5) and 1 x 3 hour practical per week (weeks 6-11).

Scheduled learning activities - cloud (online)

Independent and collaborative learning activities including pre-recorded videos and sample code.

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, reactive and dynamic, goal based, fuzzy logic, rule-base, probability, behaviour and finite state machine techniques.  It then looks at the practical application of AI.

Unit Fee Information

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