Data and Decisions Analysis
'This course is designed to introduce undergraduate business students to fundamental quantitative methods of using data to make informed management decisions. Topics covered 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. The implementation of management science tools has been facilitated by the intensive use of Excel spreadsheet models. '