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Applied intelligent techniques for business modelling (6 points)


Leader: Cheng Lee

Clayton Second semester 2003 (Day)
Clayton Second semester 2004 (Day)

Synopsis: This unit will provide core knowledge of, and the basic skills for, using intelligent techniques for business modelling. Intelligent techniques and systems considered will include evolutionary computing, neurocomputing, fuzzy techniques, evolutionary neural systems; neurofuzzy systems, fuzzy expert systems, and hybrid intelligent and conventional systems. Students will apply the acquired techniques to develop models for solving real business problems in tutorials and an assignment, and gain hands-on experience with current industry standard intelligent techniques software packages.

Assessment: Examination (2 hours): 60% + Assignment: 40% + Students must pass the examination in order to pass the unit

Contact Hours: One 2-hour lecture and one 1-hour laboratory per week

Prerequisites: BUS5650 or equivalent

Prohibitions: BUS3750, GCO4015, CSE5301

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