Decision Support and Expert System (CSC-460)

Tribhuvan University

Institute of Science and Technology

Bachelor of Science in Computer Science and Information Technology

8th Semester

Course Title: Decision Support and Expert System

Course no: CSC-460                                                             Full Marks: 60+20+20

Credit hours: 3                                                                      Pass Marks: 24+8+8

Nature of course: Theory (3 Hrs.) + Lab (3 Hrs.)

Course Synopsis:  Use of Artificial Intelligence.

Goal:  This course introduces fundamental concept of decision support and expert systems and its application on neural networks.

Course Content:

Unit 1. Introduction to Management Support Systems                             2 Hrs.

Unit 2. Systems, Modeling, and Support for Decision Making                  2 Hrs.

Unit 3. Overview of Decision Support Systems (DSS)                             1 Hr.

Unit 4. DSS Data Management                                                                  2 Hrs.

Unit 5. Modeling and DSS Model Management                                          3 Hrs.

Unit 6. DSS User Interface                                                                        2 Hrs.

Unit 7. Constructing a DSS                                                                       1 Hr.

Unit 8. Organizational DSS (ODSS) and Advanced Topics                        3 Hrs.

Unit 9. Group Decision Support Systems (GDSS)                                     3 Hrs.

Unit 10. Distributed Group Support Systems                                            3 Hrs.

Unit 11. Executive Information and Support Systems                                3 Hrs.

Unit 12. Overview of Applied Artificial Intelligence (AI) and Problem Solving

         2 Hrs.

Unit 13. Fundamentals of Expert Systems                                                 1 Hr.

Unit 14. Knowledge Acquisition and Validation                                          3 Hrs.

Unit 15. Knowledge Representation                                                          4 Hrs.

Unit 16. Inference, Explanations, and Uncertainty                                     4 Hrs.

Unit 17. Building Expert Systems: Process and Tools                               4 Hrs.

Unit 18. Fundamentals of Artificial Neural Networks                                  3 Hrs.

Unit 19. Neural Network Applications                                                        2 Hrs.

Laboratory works:    Designing a simple decision support system tool

Text Books:

1. Decision Support and Expert Systems: Management Support Systems, Efriam Turban, 4^th Edition, 1995, Prentice-Hall. 
2. Developing Knowledge-Based Systems Using VP-Expert, Dorothy G. Dologite, 1993, Macmillan.

Homework

Assignment: Assignment should be given in throughout the semester.

Computer Usage:      No specific

Prerequisite:              C, C++, Data Structure

Category Content:    Science Aspect:           50%

                                    Design Aspect:            50%