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Decision Support Systems Syllabus
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1. M.I.S and Its Role In Organizations Open-Systems and Closed Systems
2. D.S.S Its Relation to M.I.S, Characteristic Role of D.S.S as Different From M.I.S in an Organization, Expert DSS and Its Role as an Aid to Management Decision Process.
3. Deterministic Models: Models Required to Cope With Uncertainty, Probabilistic Models and Fuzzy Sets, Fuzzy DSS and Fuzzy Expert DSS.
4. Application of DSS to Some Functional Areas of Management Like Finance, Marketing, Production Planning and Control Etc.
5. Non-Optimising Models of DSS, Simulation Techniques and Monte- Carlo Methods.
6. Application of DSS: Technical Feasibility and Financial Viability of DSS. Advantages and Limitations of DSS -Contemporary practices.
7. Introduction to Artificial Intelligence (AI): An Overview of AI- AI Technologies in Business, Domains in AI, Neural networks, Fuzzy logic systems in Business, Virtual Reality, Intelligent agents, expert system and its components, Applications of expert system, developing expert systems, value of expert systems.
8. Case Studies
1 Macllah: Decision Support Systems and Data Warehousing, TMH, 2003.
2 Turbon: DSS and Intelligent Systems, Pearson Education, 2001.
3 James A Obrien: Management Information systems-Managing information technology in the E-Business Enterprise, 5/e, TMH, New Delhi, 2002.
4 Janakiraman & Sarukesi: Decision Support Systems, PHI, New Delhi, 2002.
5 George M.Marakas: Decision Support Systems in the 21st Century, 2/e,Pearson Education, New Delhi, 2003.
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