Exam Details
| Subject | decision support systems | |
| Paper | ||
| Exam / Course | mba | |
| Department | ||
| Organization | TKR Institute Of Management & Science | |
| Position | ||
| Exam Date | June, 2018 | |
| City, State | telangana, hyderabad |
Question Paper
FACULTY OF MANAGEMENT
M.B.A. III Semester (CBCS) Examination, May June 2018
Subject Decision Support Systems
Paper MB-304-4
Time 3 hours Max. Marks 80
PART A x 4 20 Marks)
(Short Answer Type)
1 Hardware
2 EIS
3 Expert Systems
4 Data Ware house
5 Data Mining
PART B x 12 60 Marks)
(Essay Answer Type)
6 What is DSS? Explain the evolution of DSS.
OR
Explain the need and benefits of DSS.
7 Explain the development and implementation of DSS.
OR
Explain the types of models in DSS.
8 What are the problems of Group Decision Making? Explain.
OR
What are the components of EIS? Explain.
9 Distinguish between Artificial Intelligence Vs Natural Intelligence.
OR
Explain the structure and benefits of ES.
10 What is Data Ware house? Explain the characteristics of Data Ware House.
OR
What is Data Mining? Explain the techniques Data Mining.
M.B.A. III Semester (CBCS) Examination, May June 2018
Subject Decision Support Systems
Paper MB-304-4
Time 3 hours Max. Marks 80
PART A x 4 20 Marks)
(Short Answer Type)
1 Hardware
2 EIS
3 Expert Systems
4 Data Ware house
5 Data Mining
PART B x 12 60 Marks)
(Essay Answer Type)
6 What is DSS? Explain the evolution of DSS.
OR
Explain the need and benefits of DSS.
7 Explain the development and implementation of DSS.
OR
Explain the types of models in DSS.
8 What are the problems of Group Decision Making? Explain.
OR
What are the components of EIS? Explain.
9 Distinguish between Artificial Intelligence Vs Natural Intelligence.
OR
Explain the structure and benefits of ES.
10 What is Data Ware house? Explain the characteristics of Data Ware House.
OR
What is Data Mining? Explain the techniques Data Mining.
Other Question Papers
Subjects
- accounting for management
- banking and insurance
- business analytics
- business communication
- business intelligence
- business law and environment
- business process reengineering
- business research methods
- compensation management (hr)
- compensation management (major)
- consumer behaviour (major)
- customer relationship management
- database management systems
- decision support systems
- e-business
- economic environment & policy
- entrepreneurial development
- financial accounting and analysis
- financial management
- financial risk management (f)
- financial risk management (major)
- financial services and systems (minor)
- fundamentals of technology management
- human resource management
- i.t. applications for management
- information technology applications for business
- innovation management
- international business
- international finance (f)
- investment management (major)
- labour laws and employee relations
- leadership and change management
- management and organizational behaviour
- managerial communication
- managerial economics
- marketing engineering
- marketing management
- operations management
- operations research
- organization development (hr)
- organizational development (minor)
- performance management (major)
- product & brand management (m)
- product and brand management (major)
- promotion & distribution management (m)
- promotion and distribution management (minor)
- research for marketing decisions
- retail management
- services and global marketing (minor)
- software project management
- startup management
- statistics for management
- strategic management
- strategic management accounting (minor)
- supply chain management
- talent and knowledge management (minor)
- total quality management