This course is based on classical design of experiment theory. It provides a structured design of experiments framework which includes the planning, conducting, analyzing and interpreting of data. Discussions on distributions and the application of different experimentation strategies to achieve set objectives; such as simple comparative, single factor, completely randomized blocking, full factorial, and fractional factorial designs are covered.
Not all courses are offered each term.Winter 2023 registration opens November 28, 2022. Spring 2023 registration opens February 27, 2023.
In person: classes held in person on a campus/site in a classroom/lab/shop/studio for the course duration
Online - Asynchronous: 100% online delivery, no scheduled day or time course requirements with the instructor, assigned due dates
Online - Synchronous: 100% online delivery, scheduled day and time course requirements with the instructor, assigned due dates
Hybrid: any combination of in person, timetabled, on campus, online, and hyflex delivery