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.
Please note: This course is offered through OntarioLearn. To review important information such as textbook, exam and grade information, visit the OntarioLearn Information web page.
This course is part of the following
Have you taken this course or an equivalent course? Contact the Credit Transfer Office.
Not all courses are offered each term.Fall 2023 registration opens July 24, 2023. Winter 2024 registration opens November 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