Course description

This course provides a sequential nature of most experimentation and the importance of response surface methods for the modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response in different types of processes. Learners will explore and apply optimal designs for experiments in mixture regions.

Course details

Hours: 6
Credits: 1
Prerequisites: None
Corequisites: None

Build courses into a credential

This course is part of the following micro-credential(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.

Spring 2025 registration is now open.
Fall 2025 registration opens July 21, 2025.

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

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