闪播福利库

This course introduces students to advanced quantitative techniques employed in the graphical and statistical interpretation and analysis of data, using appropriate statistical software tools. Students will learn to implement effective descriptive techniques, to use probability to characterize uncertainty, to write and test statistically valid hypotheses, and to use forecasting models to help solve engineering management problems. Applies engineering management specific case studies. Applies non-parametric, advanced variable transformation for regression individually and in team environments to simulate engineering management tasks and work environment. Prerequisite: Must be admitted to Master of Science in Engineering Management, Master of Science in Engineering, Master of Science in Operations Management; proficient in Excel and undergraduate course in statistics, equivalent background or department consent. (Typically offered: Fall, Spring and Summer)