AKTU Decision Support & Intelligent System (BPI061) Syllabus PDF – B.Tech 3rd Year

Course Outcomes

UNIT‐1: (8-Hours) Management Support Systems: An Overview: Managers and Decision‐Making; Managerial Decision‐ Making and Information Systems; Managers and Computer Support; Computerized Decision Support and the Supporting Technologies.

A Framework for Decision Support; The Concept of Decision Support Systems; Group Support Systems; Enterprise Information Systems; Knowledge Management Systems; Expert Systems;

Advanced IntelligentDecision Support Systems; Hybrid Support Systems.

Decision‐Making Systems, Modelling, and Support: Decision‐Making: Introduction and Definitions; Systems; Models; Phases of the Decision‐Making Process.

UNIT‐2: (8-Hours) Decision Support Systems: Different types of Managerial Decision Problems and the Role of a DSS in solving them, DSS Configurations; Characteristics and Capabilities of DSS; Components of DSS; theData Management Subsystem.

Modelling and Analysis: Modelling; Classification of Models, Purpose of Modelling, Solution Techniques: Optimization, Heuristics, and Simulation, Desirable features for Models in DSS, Models and Managers Static and Dynamic Models; Certainty, Uncertainty, and Risk; Influence Diagrams;

MSS Modelling with Spreadsheets; Decision Analysis of a Few Alternatives.

Decision Support System Development: Introduction to DSS Development; The Traditional System Development Life cycle; Alternative Development Methodologies.

UNIT‐3: (8-Hours) Knowledge Management Introduction to Knowledge Management; Organizational Learning and Transformation; Knowledge Management Initiatives; Approaches to Knowledge Management; Information Technology in KnowledgeManagement.

Knowledge Management Systems Implementation; Roles of People in Knowledge Management;

Ensuring Success of Knowledge Management.

UNIT‐4: (8-Hours) Artificial Intelligence and Expert Systems: Representation in logic and schemas, semantic networks, production rules and frames, inference techniques – DSS applications.

Social networking: package choices‐ knowledge security, integrating with web ‐based and internal operational & support systems, change management, reward systems continuous improvement, Intellectual Property Rights.

UNIT‐5: (8-Hours) Advanced Intelligent Systems: Machine‐Learning Techniques; Case‐Based Reasoning; Basic Concept of Neural Computing; Learning in Artificial Neural Networks; Genetic Algorithms Fundamentals; DevelopingGenetic Algorithm Applications; Fuzzy Logic Fundamentals.

Intelligent Systems over the Internet: Web‐Based Intelligent Systems; Intelligent Agents: An Overview; Characteristics of Agents; need of Intelligent Agents; Classification and Types of Agents; Internet‐Based Software Agents; DSS Agents and Multi‐Agents.

Reference Books

1. Decision Support Systems and Intelligent Systems, Seventh Edition, Efraim Turban, Jay E. Aronson,Richard V. McCarthy, Prentice‐Hall of India, 2007.
2. Decision Support Systems, A Knowledge‐Based Approach, Clyde W. Holsapple and Andrew B.Whinston.
3. Business Intelligence and Analytics: Systems for Decision Support” by Ramesh Sharda andDursun Delen.
4. Decision Support and Business Intelligence Systems” by Efraim Turban and Ramesh E Sharda.
5. Decision Making and Knowledge Decision Support Systems” by Anna Maria Gil‐Lafuente and Constantin Zopounidis.
6. Decision Support, Analytics, and Business Intelligence (Information Systems Collection)” by Daniel JPower.
7. Fuzzy Sets, Decision Making, and Expert Systems (International Series in Management ScienceOperations Research)” by Hans‐Jürgen Zimmermann.
8. Decision Support Systems for Business Intelligence by Vicki L. Sauter Curriculum & Evaluation Scheme V&VI semester Semester – VI Open Elective – I