Engineering Analytics

Catalog description

This course is designed to provide engineering managers with a basic foundation for data-driven decision making. Decisions by modern engineering managers increasingly require a range of statistical skills including gathering and describing data, designing samples and experiments, drawing statistical inferences and conclusions, evaluating the confidence of conclusions, developing regression and other empirical models for anticipating future behavior and use of statistical quality control and six Sigma to drive process improvement. The course will also cover selected recent developments in data analytics with applications in engineering and technology contexts.