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Вернуться к Experimental Design Basics

Отзывы учащихся о курсе Experimental Design Basics от партнера Университет штата Аризона

Оценки: 160
Рецензии: 41

О курсе

This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively. All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course....

Лучшие рецензии

21 мар. 2021 г.

I have used Dr. Montgomery's book off and on since the early 1990s! It is an enjoyment to watch his lectures. The only caveat is that it is a short course, which should have been obvious to me.

21 сент. 2020 г.

The peer review assignment is daunting as you are completely at the mercy of your classmates who might leave proper feedback on what you actually did wrong. Apart from that, great class.

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26–42 из 42 отзывов о курсе Experimental Design Basics

автор: Mariana A M

13 мая 2021 г.

Great course, very engaging! I highly recommend it!

автор: ANKIT G

17 нояб. 2020 г.


автор: Allan G V

18 дек. 2021 г.

Professor Montgomery definitely makes it amazing

автор: Dayana G

6 авг. 2020 г.

Excellent course, very practical and applicable

автор: Anna B

9 сент. 2020 г.

Great course, highly recommend!

автор: José M P C

29 июля 2020 г.


автор: Raghul S

28 июля 2021 г.


автор: Hernan D S R

11 мар. 2021 г.


автор: Irene F R S

30 авг. 2020 г.


автор: sharad k c

10 июля 2020 г.


автор: Juan F

1 сент. 2021 г.

This course introduced me to the language and tools used by DoE practitioners. I recommend this course to any professionals who lack any formal DoE courses and work in any field were experimentation is required.

Why not 5 stars? I am not a fan of the course's reliance on JMP. My ability to apply what I've learned will be severely limited if I expect my employer to purchase the software. As an alternative, I did all the computational work using the "statsmodel" library in Python, but this required a significant amount of additional research.

автор: JOEL L S M

25 мар. 2021 г.

El material ha sido excelente! Aunque me fue dificil por no tener un dominio de inglés. Esto me ha llevado a decidir que aprenderé bien el ingles para seguir llevando los demás módulos y ser un especialista en Diseño de experimentos de ingeniería.

автор: Raul Z

13 янв. 2021 г.

pretty good course , it would have been great to have pdf or brief with the material, the book is great too , class notes would have been great.

автор: Nik B B

4 янв. 2021 г.

Good material but slow and dry. Assignments were bad and in a non-standard programming language.

автор: Fernando M

14 сент. 2020 г.

Nice course.

автор: Rakesh M

12 нояб. 2021 г.

I​t is good if you want theoretical understanding from 1970s book.

автор: Rómulo R Y L

15 окт. 2021 г.