Monash University Handbook 2011 Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Synopsis

This unit provides a systematic approach of solving a variety of engineering problems using artificial intelligence techniques including fuzzy logic, artificial neural networks and genetic algorithms. The theory and applications of these soft computing techniques will be considered. Students will learn AI methods of problem solving. The AI language LISP will be introduced. The Matlab fuzzy logic, neural network and genetic algorithm toolboxes will be used to solve engineering problems.

Objectives

The aim of this unit is to introduce the principles of artificial intelligence and soft computing techniques and shows how these techniques can be applied to solve a wide variety of engineering problems. Students will develop an understanding of and confidence in applying such artificial intelligence techniques as neural networks, fuzzy logic systems and genetic algorithms.

Assessment

Mid semester test: 10%
Practice assessment(lab): 20%
Examination (3 hours): 70%

Chief examiner(s)

Associate Professor Bijan Shirinzadeh

Contact hours

2 hours of lectures, 3 hours of practice classes and 7 hours week of private study by the student

Prerequisites

TRC3300

Prohibitions

ECE4708, ECE5708, GSE4703