Course Title: Intelligent Systems

Part A: Course Overview

Course Title: Intelligent Systems

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


125H Electrical & Computer Engineering


Sem 2 2006,
Sem 2 2007,
Sem 2 2008


City Campus


125H Electrical & Computer Engineering


Sem 2 2008

Course Coordinator: Professor Xinghuo Yu

Course Coordinator Phone: +61 3 99255317

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

Basic knowledge of Advanced Calculus and Linear Algebra.

Ability to use one computational language is essential (e.g. Matlab, C/C++, Java, or equivalent).

Course Description

This course will introduce students to some of the fast growing and fascinating research areas in Intelligent Systems Technologies.

Students will gain a working knowledge of neural networks, fuzzy systems, evolutionary computation as well as some exposure to expert systems, and be capable of applying these techniques in a variety of engineering applications.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes:

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.

2.1 Application of established engineering methods to complex engineering problem solving.

2.2 Fluent application of engineering techniques, tools and resources

To gain basic understanding of the underlying principles and philosophy of computational intelligence systems technologies.

Be capable of constructing intelligent systems (in software) that perform useful engineering tasks.

Overview of Learning Activities

Understanding basic concepts and principles through case studies, mathematical analysis and computational implementation.

Overview of Learning Resources

A recommended textbook can be purchased from the RMIT bookshop.

There are also many good reference books at the Library which can be used. Internet is another good source of references.

Overview of Assessment

The assessment comprises two assignments and one closed book examination at the end of the semester.

In order to pass the course, you MUST pass the examination.