STAT Topics S6820 Optimal Design of Experiments
STAT 5200
STAT 5200: Analysis of Design Experiments presents the Fisherian perspective on the topic which dates back to Ronald Fisher’s foundational 1935 work The Design of Experiments.
The optimal design paradigm predates this work with the first such publication in 1917. However, not until recent decades did computing become cheap enough, and algorithms become mature enough, to fully enable this perspective on design in practical applications.
This course is offered almost nowhere at any university, so take advantage!!
In this course you will:
• Learn the mathematical definition of optimal design
• Strengthen your ability to express regression and ANOVA models in vector-matrix form
• Be exposed to several optimality criteria and common algorithms used to optimize them
• Work through several case studies from the text Goos and Jones (2011) [see left]
• Practice your programming skills in R and Julia
• Receive a 12-month free student license and practice with JMP Statistical Discovery Software – a leading proprietary design of experiments utility.
Prerequisites: S5100/5200 (or equivalent). Linear Algebra and elementary probability.
MW 2:00PM – 3:15PM, 2-credits
Contact: Dr. Stephen J. Walsh steve.walsh@usu.edu