Faculty of Engineering

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

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

FacultyFaculty of Engineering
OfferedMalaysia First semester 2015 (Day)
Coordinator(s)S Parasuraman (Malaysia)


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.


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.


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

Workload requirements

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

See also Unit timetable information

Chief examiner(s)




ECE4708, ECE5708, GSE4703