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Special Topics in Intelligent Decision Support Systems (ISE6810) Responsible staff and department: Dr. W.H. Ip (Industrial and Systems Engineering) Pre-requisite: Nil Recommended background knowledge: Basic understanding of computing language and database is expected. Objectives: This subject aims to provide student with the advance modelling and methodology for integration of expert systems and artificial intelligence (AI) into decision support systems (DSS). Such as integration enables AI attached to DSS components, generating and sharing the decision making processes and to provide managerial, organization and business support systems. A spectrum of topics will be covered with emphasis on the industrial case studies and practical applications. Content: Intelligent DSS Design Multiple Goals and Sensitivity Analysis Decision Models Expert System Neural Computing Genetic Algorithm Case-Based Reasoning Heuristics Algorithm Inference Technology Intelligent DSS Prototyping Exclusion: Nil Learning approach: The student will engage in a guided study in the subject. No formal lecture will be given. The student is required by the supervisor to read specified monographs and journal publications. The student will perform several assignments to implement different Intelligent Decision Support Systems in different business environments. The student and supervisor will meet frequently to discuss the progress made by the student in the subject. The final assessment of the subject is based on the results of the assignments and a mini-project. Assessment: Coursework (assignment/case studies/lab. exercises) 40% Examination 60% Total 100% References: 1. 2. 3. 4. 5. 6. E.Turban and J.Aronson,”Decision Support Systems and Intelligent Systems”,Prentice Hall (2000). D.Berry and A.Hart,”Expert Systems:Human Issues”,New York:Chapman and Hall (1990) J.P. Bigus,”Data Mining with Neural Networks”,New York:McGraw-Hill (1996) K.F. Man,K.S.Tang and S.Kwong,”Genetic Algorithm”,Springer (1999). International Journal of Decision Support Systems, North-Holland. Journal of Management Decision,MCB University Press. Last updated on 19 June 03.