Introduction to Management Science for Business Decisions
| Code | School | Level | Credits | Semesters |
| BUSI2124 | Nottingham University Business School China | 2 | 10 | Autumn China |
- Code
- BUSI2124
- School
- Nottingham University Business School China
- Level
- 2
- Credits
- 10
- Semesters
- Autumn China
Summary
This module provides a basic introduction to approach business issues using management science techniques. Commonly used techniques in business decision making are introduced. The module uses examples relevant to business and industry.
The topics covered include:
Introduction to managerial decision making using management science models, linear programming, sensitivity analysis, duality, goal programming, applications, transportation and network modules, project management, integer programming, queuing (waiting line) models and simulation.
Target Students
IBE, IBM, IBC, IBL
Classes
- One 2-hour lecture each week for 10 weeks
- One 2-hour computing each week for 2 weeks
Assessment
- 30% Computer-based assessment
- 70% Exam 1 (2-hour): One 2-hour examination
Educational Aims
To introduce some interesting and useful management science techniques and show how they can be used to approach day-to-day issues faced by the business community. On completion of this module students will be able to approach specific business problems using management science techniques and identify solutions with and without using computers.Learning Outcomes
Knowledge and understanding
This module develops a knowledge and understanding of:
•The use of accounting and other information systems for managerial applications.
•The management of resources and operations.
Intellectual skills
This module develops:
•The cognitive skills of critical thinking, analysis and synthesis, including the ability to identify assumptions, evaluate statements in terms of evidence, to detect false logic or reasoning, to identify implicit values, and to define terms adequately and to generalise appropriately.
•Effective quantitative problem solving and decision making skills.
•The ability to create, evaluate and access a range of options, together with the capacity to apply ideas and knowledge to a range of business and other situations.
Professional practical skills
This module develops:
•Numeracy and quantitative skills including data analysis, interpretation and extrapolation.
•The ability to apply business models to business problems and phenomena.
•The ability to conduct research into business and management issues, either individually or as part of a team, including a familiarity with a range of business data and research resources and appropriate methodologies.
Conveners
- Dr Jing Dai