The aim of The School of Business Systems is to provide teaching and research to develop computer-based methods for effective solutions to a wide range of strategic and operational problems that occur in every area of business activity.Advances in computing technology now enable the widespread use of sophisticated, computationally-intensive modelling technique in business. The focus of the subject is on the applications of intelligent techniques in the domain of business modelling.The subject is designed to fill the need for such studies in the post graduate offerings of the school. It addresses the strong demand in business and industry for technically sophisticated computer-literate graduates. It also responds to graduate demand for related, applied business analysis and modelling knowledge.The subject will provide students with the relevant core knowledge and skills to undertake further study with several established research groups in the School of Business Systems. The content of the subject will complement a significant element of the research agenda for those research groups in Business Systems.The subject will differ from BUS3750, Introductory Intelligent Techniques for Business Modelling in the following ways:

1. The student will understand the algorithm for each technique, rather than simply how to apply the technique;
2. The student will be required to embellish a known technique and justify this embellishment in the context of a business problem;
3. Mathematical analysis of the techniques will be undertaken;
4. Interpretation of the modelling results will be emphasized;
5. The assessment for BUS3750 will incorporate class tests worth 10% of the mark for the subject. BUS5750 has no class tests, instead, the assignment project will be more challenging and weighted more heavily.

Change of prerequisite: from "BUS5650 or equivalent" to "Completion of 24 points of postgraduate IT and/or finance units".

Addition of prerequisite BUS5650 Business Applications of Neural Networks or equivalent. Students who wish to take this elective must have good knowledgeskills on non-parametric modelling (e.g. neural network) and proceeds on to other intelligent techniques using Fuzzy-logic combined with evolutionary algorithms (such as GA, GP) and other parametric models. This is covered in the above unit, BUS5650.

The School of Business Systems already offers the unit BUS5650 Business Applications of Neural Networks. The proposed subject will cover business applications of other remaining main branches of intelligent techniques and hybrid intelligent systems. This will provide our students with an opportunity to look at the full spectrum of applied intelligent techniques and how a corporation uses them to improve its strategic advantages and competitiveness.

The unit addresses the strong demand in business and industry for technically sophisticated graduates who are well-versed in analytical and computing techniques. Students will benefit from exposure to the knowledge and application skills of intelligent technique-based modelling in the context of business and corporate settings.

• Software Title:
• Vendor:
• Version:
• OS: MS Windows XP ( ) and/or LINUX ( )
• License Details: (A valid software license certificate/s or Vendor permission must be available upon request if the software is to be installed for teaching)
• Are we currently licensed: Yes ( ) or No ( ) (If unsure, please check with your local IT support )
• If (Yes), who is the contact person for this software?:
• If (No), will the software license be arranged by: Staff member requesting the software ( ) or Technical Services* ( ) ? *If the latter is selected, please discuss your requirement/s with myself ASAP, prior to finalising your request, as there could be financial or resourcing implications.
• Is the software to be installed and accessed from a: Client/Workstation ( ), or Server ( ) ?
• Type of license: Site License ( ), Freeware ( ), FOSS (Free and Open Source Software) ( ), Shareware ( ), Lab based ( ) # of Licenses needed ____
• In what week will you commence using the software in class? Semester 1 (Week ___ ) and/or Semester 2 (Week ___ ):
• Nominated Staff For Acceptance Testing Software: (Name) (Phone) (Email)
• Additional Information: Special Requirements, Software Configuration/Installation Requirements, etc:

Software Title: NeuroShell

Completion of 24 points of postgraduate IT and/or finance units