MGNT 622: Quantitative Methods
Prerequisite: MBA status or permission of the instructor
Credit Hours: (3)
Provides a study of the quantitative tools used in business production and service organizations. Topics include linear programming, integer programming, network analysis and stochastic programming.
Detailed Description of Content of Course
List of Major Topics:
- Introduction to Quantitative Methods
- Linear Programming, Computer Applications
- Integer Programming
- Network Models
- Queuing Models
- Stochastic Applications
Detailed Description of Conduct of Course
Instruction includes demonstrations, in-class exercises, problem assignments, and periodic exams (usually a midterm and a final). Outside reading and case applications are included to augment and apply problem solving skills. A project is undertaken primarily as a team exercise involving research and application of quantitative methods. This course is both theoretical and problem oriented with emphasis on decision making support. Computer applications are used extensively.
Goals and Objectives of the Course
At conclusion of course, student will be able to:
- Explain theoretical development of mathematical models and algorithms and demonstrate use of quantitative techniques for decision support.
- Apply scientific problem solving with appropriate computer software.
Graded assignments include homework problems, case analysis, computer applications, team projects, and exams.
Other Course Information
The discovery process is encouraged as students gain confidence in using quantitative tools.
Review and Approval
DATE ACTION APPROVED BY
March 1999 Revised