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⇱ Response Surfaces, Mixtures, and Model Building | Coursera

Response Surfaces, Mixtures, and Model Building

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Response Surfaces, Mixtures, and Model Building

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Gain insight into a topic and learn the fundamentals.
4.7

67 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

67 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data

  • Understand the response surface methodology strategy to conduct experiments where system optimization is the objective

  • Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture

  • Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors

Details to know

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Assessments

8 assignments

Taught in English

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This course is part of the Design of Experiments Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response. This course provides design and optimization tools to answer that questions using the response surface framework. Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.

What's included

12 videos4 readings2 assignments1 app item1 discussion prompt

12 videos•Total 125 minutes
  • Instructor Introduction•3 minutes
  • Course Introduction •4 minutes
  • More About Factorial and Fractional Factorial Designs•15 minutes
  • The 3^3 Design•11 minutes
  • The 3^k Factorial Design•13 minutes
  • Confounding•18 minutes
  • Fractional Replication of the 3^k Factorial Design•12 minutes
  • Factorials with Mixed Levels•7 minutes
  • Nonregular Fractional Factorial Designs•14 minutes
  • Use of an Optimal Design Tool•17 minutes
  • Syrup Loss Example•5 minutes
  • Unusual Blocking Example•5 minutes
4 readings•Total 40 minutes
  • Course Description•10 minutes
  • Course Textbook and Resources•10 minutes
  • Best Practices in Online Learning (or How to Succeed in This Class)•10 minutes
  • Unit 1: Introduction•10 minutes
2 assignments•Total 60 minutes
  • Unit 1: Concept Questions•30 minutes
  • Exercise 1•30 minutes
1 app item•Total 60 minutes
  • JMP Virtual Lab•60 minutes
1 discussion prompt•Total 10 minutes
  • Meet the class•10 minutes

What's included

7 videos1 reading2 assignments

7 videos•Total 98 minutes
  • Linear Regression Models•16 minutes
  • Properties of the Estimators•10 minutes
  • Regression Analysis of a 2^3 Factorial Design•15 minutes
  • Hypothesis Testing in Multiple Regression•21 minutes
  • Confidence Intervals in Multiple Regression•18 minutes
  • Regression Model Diagnostics•13 minutes
  • Viscosity Example•4 minutes
1 reading•Total 10 minutes
  • Unit 2: Introduction•10 minutes
2 assignments•Total 30 minutes
  • Unit 2: Concept Questions•0 minutes
  • Exercise 2•30 minutes

What's included

14 videos1 reading2 assignments

14 videos•Total 178 minutes
  • Response Surface Methodology•7 minutes
  • The Method of Steepest Ascent•15 minutes
  • Second-Order Models in RSM•12 minutes
  • Ridge Systems•12 minutes
  • Multiple Responses•15 minutes
  • Experimental Designs for Fitting Response Surfaces•18 minutes
  • Blocking in a Second-Order Design•15 minutes
  • The Adhesive Pull-Off Force Experiment•10 minutes
  • General Structure of a Definitive Screening Design with m Factors•10 minutes
  • Experiments with Computer Models•17 minutes
  • Mixture Experiments•15 minutes
  • Constraints•11 minutes
  • Chemical Process Example•14 minutes
  • Paint Formulation Example•8 minutes
1 reading•Total 10 minutes
  • Unit 3: Introduction•10 minutes
2 assignments•Total 60 minutes
  • Unit 3: Concept Questions•30 minutes
  • Exercise 3•30 minutes

What's included

4 videos1 reading2 assignments

4 videos•Total 39 minutes
  • Robust Design•13 minutes
  • Analysis of the Crossed Array Design•5 minutes
  • Combined Array Designs and the Response Model Approach•13 minutes
  • Semiconductor Manufacturing Example•7 minutes
1 reading•Total 10 minutes
  • Unit 4: Introduction•10 minutes
2 assignments•Total 60 minutes
  • Unit 4: Concept Questions•30 minutes
  • Exercise 4•30 minutes

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Instructor

Instructor ratings
4.8 (25 ratings)
Arizona State University
6 Courses•30,298 learners

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Showing 3 of 67

DR
·

Reviewed on Jul 25, 2020

It was a great experience for me to do the RSM model building an online course. I learned experimental designs for fitting response surfaces.

AZ
·

Reviewed on Oct 9, 2021

DoE is an essential but forgotten initial step in the experimental work! This course gives a very good start and breaking the ice for higher quality of experimental work.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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