MTech Decision Support System syllabus for 2 Sem 2020 scheme 20SCE253

Module-1 Introduction to decision support systems 0 hours

Introduction to decision support systems:

DSS Defined, History of decision support systems, Ingredients of a DSS, Data and model management, DSS Knowledge base, User interfaces, User interfaces, The DSS user, Categories and classes of DSSs, Chapter Summary. Decisions and decision makers Decision makers: who are they, Decision styles, Decision effectiveness, How can a DSS help?, A Typology of decisions, Decision theory and simon’s model of problem solving, Bounded decision making, The process of choice, Cognitive processes, Biases and heuristics in decision making, Chapter summary.

Module-2 Decisions in the organization 0 hours

Decisions in the organization:

Understanding the organization, Organizational culture. Modelling decision processes: Defining the problem and its structures, Decision models, Types of probability, Techniques for forecasting probabilities, Calibration and sensitivity, Chapter summary

A d v e r t i s e m e n t
Module-3 Group decision support and groupware technologies 0 hours

Group decision support and groupware technologies:

Group Decision making, the problem with groups, MDM support technologies, Managing MDM activities, the virtual workspace, chapter summary. Executive information systems: What exactly is an EIS, Some EIS history, Why area top executives so different?, EIS components, Making the EIS work, The future of executive decision making and the EIS, chapter summary

Module-4 Designing and building decision support systems 0 hours

Designing and building decision support systems:

Strategies for DSS analysis and design, The DSS developer, DSS user interface issues, chapter summary. Implementing and integrating decision support systems: DSS implementation, System evaluation, The importance of integration, chapter summary.

Module-5 Creative decision making and problem solving 0 hours

Creative decision making and problem solving

What is creativity?, Creativity defined, The occurrence of creativity, Creative problem solving techniques, Creativity and the role of technology, chapter summary.

 

Course outcomes:

At the end of the course the student will be able to:

  • Recognize the relationship between business information needs and decision making
  • Appraise the general nature and range of decision support systems
  • Appraise issues related to the development of DSS
  • Select appropriate modeling techniques
  • Analyze, design and implement a DSS

 

Question paper pattern:

The SEE question paper will be set for 100 marks and the marks scored will be proportionately reduced to 60.

  • The question paper will have ten full questions carrying equal marks.
  • Each full question is for 20 marks.
  • There will be two full questions (with a maximum of four sub questions) from each module.
  • Each full question will have sub question covering all the topics under a module.
  • The students will have to answer five full questions, selecting one full question from each module.

 

Textbook/ Textbooks

1 Decision support system George M.Marakas PHI 2011

 

Reference Books

1 Decision Support Systems, 2Nd Edn Marakas, Pearson India, 2015,

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