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.
Prerequisite
( Student has satisfied all of the following Student has completed any of the following course(s) STATS 240 - Introduction to Statistics, STATS 250 - Applied Statistics And Student has satisfied all of the following Student has completed any of the following course(s) Undergraduate Mathematics 128 - 599 And Student has satisfied all of the following Student is a member of the Teachout BSBA Core End 2022 Student Cohort ) Or ( Student has satisfied all of the following Student has completed all of the following course(s) SBS 101 - Business Foundations Navigating the Fast-Paced Business Landscape, SBS 104 - Innovative Teaming, SBS 110 - Introduction to Business Communication And Student has satisfied all of the following Student has completed any of the following course(s) STATS 240 - Introduction to Statistics, STATS 250 - Applied Statistics )
Offered
Fall, Spring