Course Descriptions

The curriculum of the program in the Department of Mathematics is designed to provide a broad education in both theoretical and applied mathematics. It also develops the scientific knowledge and the problem solving, computing, and communications skills that are critical to a successful mathematically based career.

MA 387 - Statistical Methods in Six Sigma

Credit Hours: 4R-0L-4C
Term Available: -
Prerequisites: MA 223 - Engineering Statistics I or MA 382 - Introduction to Statistics with Probability
Corequisites: None

A course on statistical methods used in the Six Sigma /DMAIC (Define, Measure, Analyze, Improve, Control) paradigm. Topics will include, but are not limited to, gauge repeatability and reproducibility, control charts, regression, design of experiments, and response surface optimization.