Punjab Technical University 2007-5th Sem M.B.A III/I ADVANCED ISION SUPPORT SYSTEMS - Question Paper

ADVANCED DECISION SUPPORT SYSTEMS
M.B.A
MB-544
IIIrd /IVth Semester (2096)

Time: three Hours Max Marks:75

Note: Part A is compulsory and have 15 short ans ques. of two marks every. Part B is consists of 12 long ans ques. of five marks each,out of which you have to attempt 9 ques..


Part A (15x2=30)

1.
a. Differentiate ranging from programmed and non programmed decisions.
b. What is data mining?
c. Define data manipulation?
d. Give the different stages of decision making in an organization.
e. What is meant by electronic data processing?
f. What is meant by normalization of data bases?
g. What are the advantages of database management systems?
h. What is the role of DSS in management decision making?
i. What is meant by Executive Support Systems?
j. What are the benefits of using statistical packages for DSS?
k. Enumerate the different steps for contructing a database.
l. Give the importance of DSS in Database.
m. Outline the different quantitative tools for decision making.
n. Give the different stages of model development in DSS.
o. What are the advantages and limitations of using an Expert System?


Section B
2. Discuss briefly the Simon’s model for Human info processing.
3. What is database? discuss the architecture of database management system.
4. What is an Expert System? explain the characteristics of an Expect System?
5. What is data warehousing? discuss the process of getting data into the data warehouse?
6. Define Decision Support Systems? elaborate the different components of DSS?
7. Explain different Forecasting packages used for DSS.
8. Outline the objectives and characteristics of an effective DSS?
9. Describe the different levels of Decision Support Systems. discuss the different tools used at every level?
10. What is the role of DSS in management decision making? explain different applications of DSS.
11. Compare and contrast DSS with EDP and MIS.
12. Write short note on Group Decision Support Systems.
13. Explain the different database models.

Earning:   Approval pending.