Design of Industrial Systems and Processes

Catalog description

This course covers advanced topics in Applied Engineering Statistics. It includes the introduction to linear regression analysis, simple linear models, multiple linear models, residual analysis, indicator variables, variable selection process, ANOVA, introduction to design of Industrial systems and processes, basic designs, factorial designs, fractional factoral designs, blocking, Taguchi designs, and response surface methodology. Extensive use of statistical software will be introduced throughout the course. Students with a semester level of Freshman 1, Freshman 2 or Sophomore 1 may not enroll.