Subject code CIE363 deals with semester VII of the Decision Support and Intelligent Systems Syllabus of Anna University based on regulation 2021. In this article, we would like to discuss the syllabus of Decision Support and Intelligent Systems. Let’s see.
We aim to provide the unit-wise CIE363 – Decision Support and Intelligent Systems syllabus. It will avoid confusion for students during the examination period. We added the required textbooks and references to the syllabus. I hope this information is useful. You better be quick to read the syllabus prior than the others and prepare well for examinations. Kindly read this article thoroughly and then share it with your classmates. A decent qualified certificate from the university will help you to reach heights The following syllabus will assist you.
If you want to know more about the syllabus of B.E. Industrial Engineering and Management connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E. Industrial Engineering and Management Syllabus Regulation 2021 Anna University.
Aim Of Objectives:
- To review and clarify the fundamental terms, concepts and theories associated with Decision Support Systems, computerized decision aids, expert systems, group support systems and executive information systems.
- To discuss and develop skills in the analysis, design and implementation of computerized Decision Support Systems.
- To examine the uses of various mathematical models, heuristics and simulation as a sub-system of DSS.
- To understand that most Decision Support Systems are designed to support rather than replace decision-makers and the consequences of this perspective for designing DSS.
CIE363 – Decision Support and Intelligent Systems Syllabus
Unit – I: Introduction
Managerial decision making, system modeling and support – preview of the modeling process- phases of decision-making process.
Unit – II: Analysis
DSS components – Data warehousing, access, analysis, mining and visualization – modeling and analysis – DSS development.
Unit – III: Technologies
Group support systems- Enterprise DSS- supply chain and DSS – Knowledge management methods, technologies and tools.
Unit – IV: Expert Systems
Artificial intelligence and expert systems – Concepts, structure, types – Knowledge acquisition and validation – Difficulties, methods, selection.
Unit – V: Semantic Networks
Representation in logic and schemas, semantic networks, production rules and frames, inference techniques, intelligent system development, implementation and integration of management support systems.
Text Books:
- Efraim Turban and Jay E Aronson, “Decision Support and Business Intelligent Systems”, PHI, Eighth edition, 2010.
- S SMitra, “Decision support systems, tools and techniques”, John Wiley, second 2011.
References:
- Elain Rich and Kevin Knight, “Artificial intelligence”, TMH, 1993.
- Vicki L. Sauter, “Decision Support Systems for Business Intelligence”, 2nd Edition, Wiley 2012.
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