Dsgn Exp (DOE) II Advanced — Building on the foundations of factorial experimental design from DOE I, this course will provide techniques and practical advice for dealing with the reality of complex experiments. Through a process of discovery and critical thinking, students will uncover reliable tools for recovering from lost data, identifying outliers, using random factors, interpreting sophisticated statistical plots, using binary responses, evaluating experimental designs holistically, and much, much more! The aim of this course is to turn a technical professional who knows how to create relatively basic experimental designs into a true DOE expert and practitioner who has the newfound confidence to tackle any manner of complex systems. Using a Socratic teaching method alongside class examples, case studies, manipulatives, and software practice, the goal is to excite technical professionals about experimental design in such a way that they finish the course saying, “let’s characterize everything!”
No prereqs
Taught by nobody this semester.