BPI061 Decision Support & Intelligent System Syllabus — AKTU 2024-25

Syllabus

5 units · 40 lecture hours

Unit1

8 hrs

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.

Unit2

8 hrs

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.

Unit3

8 hrs

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.

Unit4

8 hrs

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.

Unit5

8 hrs

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.

Course Outcomes (COs)5 outcomes

After completion of the course student will be able to:

CO1Understand the fundamentals of decision support systems, computerized decision aids, expert systems and executive information systems.K2
CO2Understand the concept of hybrid support system for decision makingK2
CO3Understand different components of DSS like Data warehousing, Data mining, modeling and analysis.K2
CO4Understand the basics of Artificial intelligence and expert systems.K2
CO5Examine the uses of various mathematical models, heuristics and simulation as a subsystem of DSS.K3

Decision Support Systems and Intelligent Systems, Seventh Edition, Efraim Turban, Jay E. Aronson,Richard V. McCarthy, Prentice‐Hall of India, 2007.
Decision Support Systems, A Knowledge‐Based Approach, Clyde W. Holsapple and Andrew B.Whinston.
Business Intelligence and Analytics: Systems for Decision Support” by Ramesh Sharda andDursun Delen.
Decision Support and Business Intelligence Systems” by Efraim Turban and Ramesh E Sharda.
Decision Making and Knowledge Decision Support Systems” by Anna Maria Gil‐Lafuente and Constantin Zopounidis.
Decision Support, Analytics, and Business Intelligence (Information Systems Collection)” by Daniel JPower.
Fuzzy Sets, Decision Making, and Expert Systems (International Series in Management ScienceOperations Research)” by Hans‐Jürgen Zimmermann.
Decision Support Systems for Business Intelligence by Vicki L. Sauter

This subject is on page 44, 45 of the original AKTU PDF.