Decision Support System detailed syllabus scheme for Information Technology (IT), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 6th Sem Scheme of Information Technology (IT), 2019-20 Onwards, do visit IT 6th Sem Scheme, 2019-20 Onwards. For the Elective-V scheme of 6th Sem 2019-20 onwards, refer to IT 6th Sem Elective-V Scheme 2019-20 Onwards. The detail syllabus for decision support system is as follows.
Decision Support System Syllabus for Information Technology (IT) 3rd Year 6th Sem 2019-20 DBATU
Course Objectives:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
.
Course Outcomes:
After learning the course the students should be able:
- To recognize the relationship between business information needs and decision making
- To appraise the general nature and range of decision support systems
- To appraise issues related to the development of DSS
- To select appropriate modeling techniques
- To analyze, design and implement a DSS
Unit I
Basic Concepts: Decision making systems, Modeling and support, Basics and definition Systems models, Modeling process, Decision making, intelligence phase, Design phase choice phase, Evaluation, implementation phase, Alternative decision making models, Decision support systems, Decision makers, Case applications.
Unit II
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
Unit III
Knowledge Management: Organizational learning and memory, Knowledge management, Development Methods, Technologies and tools, Success , Knowledge management and artificial intelligence, Electronic Document Management, Knowledge Acquisition and Validation, Knowledge Engineering – Scope, Acquisition Methods, Interviews, Tracking Methods, Observation and other Methods, Grid Analysis, Machine Learning, Rule Induction, Case-Based Reasoning, Neural Computing, Intelligent Agents, Selection of an appropriate Knowledge Acquisition Methods, Multiple Experts, Validation and Verification of the Knowledge Base-Analysis, Coding, Documenting, and Diagramming, Numeric and Documented.
Unit IV
Knowledge Acquisition, Knowledge Acquisition and the Internet/Intranets, Knowledge Representation Basics, Representation in Logic and other Schemas, Semantic Networks, Production Rules, Frames, Multiple Knowledge Representation, Experimental Knowledge Representations, Representing Uncertainty. Intelligent System Development: Inference Techniques, Reasoning in Artificial Intelligence, Inference with Rules, Inference Tree, Inference with Frames, Model Based and Case Based Reasoning, Explanation and Meta Knowledge, Inference with Uncertainty, Representing Uncertainty, Probabilities and Related Approaches, Theory of Certainty, Approximate Reasoning using Fuzzy Logic
Unit V
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier..
Unit VI
Management Support Systems: Implementing and Integrating Management Support Systems, Implementation, Major Issues, Strategies, System Integration, Generic Models MSS, DSS-ES, Integrating EIS, DSS and ES, Global Integration, Intelligent DSS, Intelligent Modeling and Model Management, Examples of Integrated Systems, Problems and Issues in Integration.
Text Books:
- Efrain Turban and Jay E. Aronson, Decision Support Systems and Intelligent Systems, 6th Edition, Pearson Education, 2001.
Reference Book:
- Ganesh Natarajan and Sandhya Shekhar, Knowledge Management Enabling Business Growth, Tata McGraw Hill, 2002.
- George M. Marakas, Decision Support System, Prentice Hall, India, 2003.
- Efrem A. Mallach, Decision Support and Data Warehouse Systems, Tata McGraw, Hill, 2002.
- Kimiz Dalkir, Knowledge Management: Theory and Practice, Elsevier Science, 2005.
- Becerra Fernandez and Laidener, Knowledge Management: An Evolutionary View, PHI, 2009.
For detail syllabus of all subjects of Information Technology (IT) 6th Sem 2019-20 onwards, visit IT 6th Sem Subjects of 2019-20 Onwards.