Design of Experiments

Catalog description

This course on Design of Experiments (DOE) provides experiences in planning, conducting, and analyzing statistically designed experiments. The methods of DOE may be applied to design or improve products and processes. Analysis of variance (ANOVA), test of hypothesis, confidence interval estimation, response surface methods, and other statistical methods are applied in this course to set values for design, process, or control factors so that one or more responses will be optimized, even when noise factors are present in the system. This course is designed to teach the nuts and bolts of DOE as simply as possible. Components: Class Prereqs/Coreqs: P: ENGRG 6050 or a calculus-based statistics course or consent of the instructor Typically Offered: Fall - Spring