Coopersmith Career Consulting | Evaluated Learning Experience
Quantitative Analysis (MAT-303)
Varies (self-study; self-paced).
April 2019 - Present.
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.
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.
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) (3/24 revalidation).