Course description

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.

Course details

Hours: 36
Credits: 3
Prerequisites: None
Corequisites: None

Build courses into a credential

This course is part of the following program(s):


Credit transfer

Have you taken this course or an equivalent course? Contact the Credit Transfer Office.

Registration dates

Not all courses are offered each term.

Winter 2023 registration opens November 28, 2022. Spring 2023 registration opens February 27, 2023.

Delivery options

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