Course Title: Intelligent Systems

Part A: Course Overview

Course Title: Intelligent Systems

Credit Points: 12.00

Terms

Course Code	Campus	Career	School	Learning Mode	Teaching Period(s)
ISYS1007	City Campus	Postgraduate	620H Business IT and Logistics	Face-to-Face	Sem 1 2006, Sem 1 2007
ISYS1008	Singapore Inst of Management	Postgraduate	620H Business IT and Logistics	Face-to-Face	Offsh 1 09

Course Coordinator: Dr. France Cheong

Course Coordinator Phone: +61 3 9925 5929

Course Coordinator Email: france.cheong@rmit.edu.au

Pre-requisite Courses and Assumed Knowledge and Capabilities

There are no formal prerequisites for this course. Students are assumed to possess basic computing skills.

Course Description

Intelligent Systems are applied artificial intelligence technologies that are used to enhance decision support systems to help decision makers make better decisions. This course introduces you to the area of Intelligent Systems for facilitating unstructured business decision making. You will be introduced to some of the techniques used by Intelligent Systems as well as issues associated with the development of these systems.

Objectives/Learning Outcomes/Capability Development

At the conclusion of this course, you should develop the following capabilities:
- Ability to research the state-of-the-art in specialized Information Systems for supporting unstructured business decision making
- Ability to identify and select appropriate specialised Information Systems for generating innovative business solutions
- Ability to design and implement specialised Information Systems for generating innovative business solutions

At the conclusion of this course, you should be able to:
- Analyse, design and prototype an Intelligent System to meet business requirements.
- Assimilate and synthesise existing knowledge in a specified area and development of academic writing skills.
- Critically evaluate appropriate Intelligent Systems technologies and architectures for solving business problems.
- Solve problems systematically, individually and in culturally diverse teams and to communicate the solution orally and as a business report/academic paper.

Overview of Learning Activities

In order to develop the stated course capabilities, you are expected to actively participate in the following learning activities:
- Regular attendance and active participation in scheduled lectures and workshops.
- Reading of course notes and other assigned reading materials.
- Satisfactory completion of assessment tasks.

While a minimum attendance standard is not compulsory in this course, satisfactory completion of the program is required. Most students will find that regular class attendance is needed to achieve the necessary standard to pass this course.

Overview of Learning Resources

You are expected to regularly visit the Learning Hub of the Distributed Learning System (DLS) located at http://www.rmit.edu.au/online. The DLS provides access to important announcements, staff contact details, teaching schedule, assessment timelines and a variety of important teaching and learning materials.
You are expected to purchase the prescribed text book. You are advised to contact Student Services for assistance with learning and information on a range of supports available to support your academic success.

Overview of Assessment

The assessment for this course is on the basis of satisfactory completion of assignments and class tests.
Should the course coordinator deem that variation to the assessment tasks is needed, then this will be discussed with the class and will only proceed with documented consent of 75 percent of the class.