IM3010 DECISION SUPPORT AND INTELLIGENT SYSTEMS SYLLABUS | ANNA UNIVERSITY BE INDUSTRIAL ENGINEERING AND MANAGEMENT 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E INDUSTRIAL ENGINEERING AND MANAGEMENT DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IM3010 DECISION SUPPORT AND INTELLIGENT SYSTEMS L T P C
3 0 0 3 OBJECTIVE:
To impart knowledge on basics of DSS and Knowledge based systems
UNIT I INTRODUCTION 5
Managerial decision making, system modeling and support-preview of the modeling
process-phases of decision making process.
UNIT II ANALYSIS 10
DSS components- Data warehousing, access, analysis, mining and visualizationmodeling
and analysis-DSS development.
UNIT III TECHNOLOGIES 10
Group support systems- enterprise DSS- supply chain and DSS-knowledge
management methods, technologies and tools.
UNIT IV EXPERT SYSTEMS 10
Artificial intelligence and expert systems-concepts, structure, types-knowledge
acquisition and validation-difficulties, methods, selection.
UNIT V SEMANTIC NETWORKS 10
Representation in logic and schemas, semantic networks, production rules and
frames, inference techniques, intelligent system development, implementation and
integration of management support systems.
TOTAL: 45 PERIODS
REFERENCES
1. Efraim Turban and Jay E Aronson, Decision Support and Intelligent Systems,
Pearson education Asia, Sixth edition, 2002.
2. S S Mitra, Decision support systems, tools and techniques, John Wiley, 1996.
3. Elain Rich and Kevin Knight, Artificial intelligence, TMH,1993.
IM3010 DECISION SUPPORT AND INTELLIGENT SYSTEMS L T P C
3 0 0 3 OBJECTIVE:
To impart knowledge on basics of DSS and Knowledge based systems
UNIT I INTRODUCTION 5
Managerial decision making, system modeling and support-preview of the modeling
process-phases of decision making process.
UNIT II ANALYSIS 10
DSS components- Data warehousing, access, analysis, mining and visualizationmodeling
and analysis-DSS development.
UNIT III TECHNOLOGIES 10
Group support systems- enterprise DSS- supply chain and DSS-knowledge
management methods, technologies and tools.
UNIT IV EXPERT SYSTEMS 10
Artificial intelligence and expert systems-concepts, structure, types-knowledge
acquisition and validation-difficulties, methods, selection.
UNIT V SEMANTIC NETWORKS 10
Representation in logic and schemas, semantic networks, production rules and
frames, inference techniques, intelligent system development, implementation and
integration of management support systems.
TOTAL: 45 PERIODS
REFERENCES
1. Efraim Turban and Jay E Aronson, Decision Support and Intelligent Systems,
Pearson education Asia, Sixth edition, 2002.
2. S S Mitra, Decision support systems, tools and techniques, John Wiley, 1996.
3. Elain Rich and Kevin Knight, Artificial intelligence, TMH,1993.
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