Data Science and Decision Making

Catalog description

Theoretical models and mathematical tools for quantitative analysis, statistics, decision theory, management. Students will learn how various business situations are modeled and optimized effectively using mathematical modeling and quantitative techniques. Examples include time-series analysis, regression, optimization (linear, nonlinear, and discrete), probabilistic modeling, decision analysis, and simulation.