BIT · Semester VII
DSS and Expert System syllabus
Official TU syllabus for DSS and Expert System (BIT405): 10 units, 49 topics. Every unit links to its notes and solved questions.
1
Introduction to Decision Support Systems
1 Q- Definition and characteristics of DSS
- Historical evolution of DSS
- DSS vs traditional information systems
- Role of DSS in organizational decision-making
2
Strategic Applications and Competitive Advantage
2 Q- Competitive advantage through DSS
- Strategic DSS applications and examples
- Technology trends and DSS benefits
- Opportunities in DSS implementation
- Risks and challenges in DSS adoption
3
DSS Design and Development
1 Q- Key design issues in DSS
- Decision-oriented diagnosis
- Feasibility studies for DSS projects
- Development approaches and methodologies
- Project management in DSS implementation
- Role of participants in DSS projects
4
DSS Architecture and Components
1 Q- DSS architecture overview
- Data management subsystem
- Model management subsystem
- Knowledge management subsystem
- Networking issues in DSS architecture
5
User Interface and Dialog Design
1 Q- Significance of dialog design in DSS
- User interface design principles
- Human-computer interaction in DSS
- Usability considerations
6
Introduction to Expert Systems
1 Q- Definition and characteristics of Expert Systems
- Distinction from other information systems
- Historical context of Expert Systems
- Applications and use cases
7
Expert Systems Architecture and Components
1 Q- Architecture of Expert Systems
- Knowledge base structure
- Inference engine
- Explanation subsystem
- User interface components
8
Expert Systems Users and Interactions
1 Q- End users and their roles
- Knowledge engineers and responsibilities
- Domain experts and knowledge acquisition
- System developers and maintenance personnel
- Interaction patterns in Expert Systems
9
Knowledge-Driven Decision Support Systems
1 Q- Knowledge representation techniques
- Building knowledge-driven DSS
- Challenges in knowledge acquisition
- Knowledge validation and verification
- Integration of knowledge with DSS
10
Expert Systems Development and Evaluation
2 Q- Expert Systems Development Life Cycle
- Key phases of development
- Advantages of Expert Systems
- Disadvantages and limitations
- Sources of errors in development
- Testing and evaluation methodologies
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