Decision Support & Intelligent System detail syllabus for Production Engineering & Industrial Production Engineering (PE & IPE), 2019-20 scheme is taken from AKTU official website and presented for AKTU students. The course code (RPI076), and for exam duration, Teaching Hr/Week, Practical Hr/Week, Total Marks, internal marks, theory marks, and credits do visit complete sem subjects post given below.
For all other pe & ipe 7th sem syllabus for b.tech 2019-20 scheme aktu you can visit PE & IPE 7th Sem syllabus for B.Tech 2019-20 Scheme AKTU Subjects. For all other Departmental Elective-4 subjects do refer to Departmental Elective-4. The detail syllabus for decision support & intelligent system is as follows.
Unit I
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Unit II
Decision Support Systems:
DSS Configurations; What Is a DSS? Characteristics and Capabilities of DSS; Components of DSS; The Data Management Subsystem.
The Model Management Subsystem; The User Interface (Dialog) Subsystem; The Knowledge-Based Management Subsystem; The User; DSS Hardware; DSS Classifications.
Modelling and Analysis:
Modelling; Static and Dynamic Models; Certainty, Uncertainty, and Risk; Influence Diagrams; MSS Modelling with Spreadsheets; Decision Analysis of a Few Alternatives.
The Structure of MSS Mathematical Models; Mathematical Programming Optimization; Multiple Goals, Sensitivity Analysis, What-If, and Goal Seeking.
Problem-Solving Search Methods; Heuristic Programming; Simulation; Visual Interactive Modelling and Visual Interactive Simulation; Quantitative Software Packages; Model Base Management.
Decision Support System Development:
Introduction to DSS Development; The Traditional System Development Life cycle; Alternative Development Methodologies.
Prototyping: The DSS Development Methodology; Change Management; DSS Technology Levels and Tools; DSS Development Platforms; DSS Development Tool Selection; Team-Developed DSS; End User Developed DSS; Putting the DSS together.
Unit III
Knowledge Management:
Introduction to Knowledge Management; Organizational Learning and Transformation; Knowledge Management Initiatives; Approaches to Knowledge Management; Information Technology in Knowledge Management.
Knowledge Management Systems Implementation; Roles of People in Knowledge Management; Ensuring Success of Knowledge Management.
Unit IV
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Unit V
Advanced Intelligent Systems:
Machine-Learning Techniques; Case-Based Reasoning; Basic Concept of Neural Computing; Learning in Artificial Neural Networks; Developing Neural Network-Based Systems.
Genetic Algorithms Fundamentals; Developing Genetic Algorithm Applications; Fuzzy Logic Fundamentals; Developing Integrated Advanced Systems.
Intelligent Systems over the Internet:
Web-Based Intelligent Systems; Intelligent Agents: An Overview; Characteristics of Agents; Why Intelligent Agents?
Classification and Types of Agents; Internet-Based Software Agents; DSS Agents and Multi-Agents; Semantic Web: Representing Knowledge for Intelligent Agents; Web-Based Recommendation Systems; Managerial Issues of Intelligent Agents.
Books and References:
- 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 and DursunDelen.
- 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 J Power.
- Fuzzy Sets, Decision Making, and Expert Systems (International Series in Management Science Operations Research) by Hans-Jurgen Zimmermann.
- Decision Support Systems for Business Intelligence by Vicki L. Sauter.
For detail syllabus of all other subjects of B.Tech Pe & Ipe, 2019-20 regulation do visit Pe & Ipe 7th Sem syllabus for 2019-20 Regulation.
Don’t forget to download iStudy for the latest syllabus, results, class timetable and more.