IE 400 -
This course examines how to design experiments of physical, engineering or industrial sciences, carry them out, and analyze the data they yield. Concepts of simple comparative experiments, randomization, blocking, analysis of variance and covariance are discussed. The designs that are studied include Latin squares, factorial and fractional factorial designs as well as response surface methodology. Emphasis is given on engineering applications and case studies. The use of the statistical software SAS is essential for the course, but prior knowledge is not required. 3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: IE 300.