Math 447 Design of Experiments

Course Description

(3-0) 3 credits. Prerequisite: MATH 382 or MATH 441 or permission of instructor. Single and multifactor experiments, analysis of variance, factorial designs, the use of multiple regression, and response surface methodology. Topics may include nonparametric and permutation / randomization alternatives to the traditional parametic tests. Students enrolled in MATH 557 will be held to a higher standard than those enrolled in MATH 457.

Course Learning Outcomes

A student who successfully completes this course should be able to:

  1. conduct single- and multi-factor experiments from given data
  2. build multiple regression models in support of the design of experiments (e.b. response surface modeling)
  3. reasonable verify model assumptions (e.g. normality) in various design of experiments settings
  4. Demonstrate an understanding of the following principles: randomization and blocking, confounding with blocking, and aliasing (in fractional factorial designs)
  5. implement the use of some type of software to solve problems related to the design of experiments
  6. implement the language and notation associated with the design of experiments