Syllabus of University of Pune MCA Semester IV-Decision Support Systems

BME1 – Decision Support Systems

Objective : To learn DSS, DSS Tools, DSS implementation and impacts and
Enterprise DSS.
1 Decision Support Systems-An Overview
1.1 Decision Support Systems (DSS) Concept
1.2 DSS : Deterministic Systems
1.3 Artificial Intelligence
1.4 Knowledge Based Expert Systems
1.5 MIS and Role of DSS
2 Data warehouse , Access , Analysis ,
Mining and Visualization for DSS
2.1 Data warehousing , access ,analysis and
visualization
2.2 Data collection problems and quality
2.3 Internet and commercial database service
2.4 Database Mgt System for DSS
2.5 Database organization structure for DSS
2.6 Data warehousing
2.7 OLAP
2.8 Data mining
2.9 Data Visualization
2.10 GIS and virtual reality
2.11 Business Intelligence
3 DSS Development
3.1 Introduction to DSS development
3.2 Traditional system development life cycle
3.3 Alternate development methodologies
3.4 Prototyping :DSS Methodology
4 Tools for DSS development
4.1 DSS Technology levels and tools
4.2 DSS development platform
4.3 4.3 DSS development tools selection
4.4 Team – developed DSS
4.5 End user Developed DSS
4.6 Development of DSS : Putting system
together
4.7 DSS future
5 Enterprise Decision Support System
5.1 Enterprise system : Concept and definition
Evolution of executive and enterprise
information system
5.3 Characteristics and capabilities of ESS
5.4 Comparing and integrating EIS and DSS
5.5 EIS , data access, data warehousing,
OLAP , multidimensional analysis,
presentation
5.6 Including soft information in enterprise
systems
5.7 Organizational DSS
5.7 Supply and value chain and decision
support
5.9 Computerized systems – MRP , ERP ,
SCM
5.10 Frontline DSS
5.11 Future of DSS and EIS
6 Implementation , integration and impacts
6.1 Implementation : an overview
6.2 The major issues of implementation
6.3 Implementation strategies
6.4 System Integration: What and Why?
6.5 Generic models of MSS integration
6.6 Models of ES and DSS integration
6.7 Integration of EIS , DSS and ES
6.8 Intelligent DSS
6.9 Intelligent modeling
6.10 Examples of integrated systems

References :
1. Decision Support Systems and Intelligent systems by Efrain Turbon
2. Management Information Systems by W S Jawadekar

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Syllabus of University of Pune MCA Semester IV-Decision Support Systems

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