22:711:580Supply Chain Logistics (3) Gives an understanding of the variety and the importance of critical
decisions encountered in the practice of supply chains (integrated
business processes). It offers important quantitative techniques needed
for a continuous improvement of a company's operation efficiency,
product/service quality, and strategic position in the global
marketplace. Prerequisites: Fulfillment of calculus/statistics proficiency requirements. |
22:960:575Data Models (3) Introduces statistics as applied to managerial problems. Emphasis is on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as comprehensive packages, such as SPSS®. Topics include descriptive statistics, continuous distributions, confidence intervals for means and proportions, and regression. Application areas include finance, operations, and marketing. Introduces the basic concepts of model building and its role in rational decision making. Knowledge of specific modeling techniques, such as linear and nonlinear programming, decision analysis, and simulation, along with some insight into their practical application is acquired. Students are encouraged to take an analytic view of decision making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses. Students form groups to collect and analyze data, and to write and present a final report. Prerequisite: 22:135:572 with grade of B or better. |
