Questions
Syllabus
Qns. By Syllabus

Semester

Subject

Year

Tribhuwan University

Institute of Science and Technology

Model

Bachelor Level / Fourth Year / Seventh Semester / Science

Bachelors in Information Technology (BIT405)

(DSS and Expert System)

Full Marks: 60

Pass Marks: 24

Time: 3 Hours

Candidates are required to give their answers in their own words as for as practicable.

The figures in the margin indicate full marks.

Section A

Long Answers Questions

Attempt any TWO questions.
[2*10=20]
1.
Explore the role of Decision Support Systems (DSS) in gaining a competitive advantage for businesses. Provide examples of strategic DSS applications and discuss the opportunities and risks associated with incorporating DSS into Information Systems (IS) planning. [10]
2.
Analyze the key issues involved in designing and evaluating Decision Support Systems (DSS). Discuss decision-oriented diagnosis, feasibility studies, development approaches, and the role of project management and participants in DSS projects. [10]
3.
Define and elaborate on the features of Expert Systems. Discuss the architecture and components of Expert Systems, along with the individuals who interact with them. What are the advantages and disadvantages of Expert Systems? [10]
Section B

Short Answers Questions

Attempt any Eight questions.
[8*5=40]
4.
Discuss the historical evolution and introduction of Decision Support Systems (DSS). [5]
5.
Explain how technology trends contribute to gaining a competitive advantage with Decision Support Systems (DSS). [5]
6.
Discuss the significance of dialog and UI design in Decision Support Systems (DSS) user interfaces. [5]
7.
Examine the challenges and considerations in building Knowledge-Driven Decision Support Systems. [5]
8.
Explain the role of networking issues in the architecture of Decision Support Systems (DSS). [5]
9.
Explore the characteristics of Expert Systems that make them distinct from other information systems. [5]
10.
Discuss the persons who interact with Expert Systems and their roles in the decision-making process. [5]
11.
Elaborate on the Expert Systems Development Life Cycle, highlighting its key phases. [5]
12.
Identify and discuss potential sources of errors in the development of Expert Systems. [5]