ISOM-201 Data and Decisions Analysis
Introduces fundamental quantitative methods of using data to make informed management decisions. Topics include: decision modeling, decision analysis, regression, forecasting, optimization, and simulation, as it applies to the study and analysis of business problems for decision support in finance, marketing, service, and manufacturing operations. Practical business cases and examples drawn from finance, marketing, operations management, and other management areas are used to provide students with a perspective on how management science is used in practice. Excel spreadsheets are used extensively to implement decision models.
Offered
Fall, Spring