Many experiments in engineering, science and business involve several factors. This course is an introduction to these types of multifactor experiments. The appropriate experimental strategy for these situations is based on the factorial design, a type of experiment where factors are varied together. This course focuses on designing these types of experiments and on using the ANOVA for analyzing the resulting data. These types of experiments often include nuisance factors, and the blocking principle can be used in factorial designs to handle these situations. As the number of factors of interest grows full factorials become too expensive and fractional versions of the factorial design are useful. This course will cover the benefits of fractional factorials, along with methods for constructing and analyzing the data from these experiments.
AA
thanks montgomery sir, and thanks to arizona state university
LC
The course was very nice. The only issues I encountered concerned the fact that the questions in the quiz were not always matching with what was explained in the lectures.
JH
Textbook is needed and will be a good foundation for this course. Special thanks to Professor and Example instructor.
AG
New ways of understanding it, beyond the textbook, thanks to Professor Montgomery
SH
Dense, very to the point and extremely useful course for me. I only wish there was more example videos in JMP.
DR
Gain valuable insights into the Design of Experiments.
SK
Great course for reasearcers and scientists who want perform experiments in a scientific way
显示：20/20
Out of the four courses belonging to the DoE specialization, this and the first are the ones giving you the most, in my opinion. That's because they are the most practical and it's easy to translate into exercises and examples what you learn.
thanks montgomery sir, and thanks to arizona state university
Gain valuable insights into the Design of Experiments.
Excellent!
Wasnt able to access the JMP pro software that is required for the class. No help from course teachers, nor from Coursera.
Dense, very to the point and extremely useful course for me. I only wish there was more example videos in JMP.
peer assessment is poor, but teaching JMP how to use is great.
I think this would be a more effective course if there was a way to communicate with an instructor or TA for help on assginment questions.
This class was really well done. Dr. Montgomery is a great presenter. Some of the terminology I have not encountered in my discipline (i.e., I haven't heard of the the factor levels referred to a, b, ab, etc. in survey design), and it would have been nice to repeat the meaning of those letters in some lessons to provide additional clarity. That's a small critique, and otherwise have only praise. Highly recommend the class to anyone interested in DOE.
Textbook is needed and will be a good foundation for this course. Special thanks to Professor and Example instructor.
Great course for reasearcers and scientists who want perform experiments in a scientific way
New ways of understanding it, beyond the textbook, thanks to Professor Montgomery
Great course with precious materials and knowlegde for R&D process.
La información abordada es muy novedosa y útil en varios aspectos.
Objective and practical course, EXCELLENT.
Excelente curso para aprender mucho mas
Exc elent course!
mlkml
The course was very nice. The only issues I encountered concerned the fact that the questions in the quiz were not always matching with what was explained in the lectures.
Good course. I enjoyed it.