Quantitative Analysis

Quantitative Analysis (MAT-303)
Location:
Various: distance learning format

Length:
Varies (self-study; self-paced)

Dates:
April 2019 - Present.

Subject Area:
Mathematics

Number of Credits:
3

Learner Outcomes:
Upon completion of this course, students will be able to: describe the use of modeling in quantitative analysis; develop useful and accurate decision trees; formulate and interpret characteristics of linear regression models; compute the economic order quantity (EOQ) and reorder point (ROP) for inventory problems; solve and interpret linear programming models both graphically and algebraically; model and solve maximal-flow, shortest-route, and minimal-spanning tree problems; describe the basic queuing system configurations and all three parts of a queuing system; and analyze simulation models as applied to inventory control and queuing theory.

Instructions:
This course provides students with a working knowledge of the most important basic concepts of quantitative analysis in business and management by teaching various modeling techniques for problems related to business and management. Topics include: decision trees, linear and multivariate regression, inventory methods, linear programming techniques, transportation and network problems, queuing theory, and simulation. Instructional methods include: Study guide, required readings, and a final exam.

Credit Recommendation:
In the lower division baccalaureate/associate degree category OR in the upper division baccalaureate degree category, 3 semester hours in Accounting, Business, Computer Science, Data Sciences, Economics, Finance, or Mathematics (4/19).