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Avis et commentaires pour l'étudiant pour Expériences pour des améliorations par Université McMaster

4.8
509 notes
142 avis

À propos du cours

We are always using experiments to improve our lives, our community, and our work. Are you doing it efficiently? Or are you (incorrectly) changing one thing at a time and hoping for the best? In this course, you will learn how to plan efficient experiments - testing with many variables. Our goal is to find the best results using only a few experiments. A key part of the course is how to optimize a system. We use simple tools: starting with fast calculations by hand, then we show how to use FREE software. The course comes with slides, transcripts of all lectures, subtitles (English, Spanish and Portuguese; some Chinese and French), videos, audio files, source code, and a free textbook. You get to keep all of it, all freely downloadable. This course is for anyone working in a company, or wanting to make changes to their life, their community, their neighbourhood. You don't need to be a statistician or scientist! There's something for everyone in here. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Over 1000 people have completed this online course. What have prior students said about this course? "This definitely is one of the most fruitful courses I have participated at Coursera, considering the takeaways and implementations! And so far I finished 12 [courses]." "Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto." "I wish I had enrolled in your course years ago -- it would have saved us a lot of time in optimizing experimental conditions." Jason Eriksen, 3 Jan 2017 "Interesting and developing both analytical and creative thinking. The lecturer took care to bring lots of real live examples which are fun to analyze." 20 February 2016. "... love your style of presentation, and the examples you took from everyday life to explain things. It is very difficult to make such a mathematical course accessible and comprehensible to this wide a variety of people!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯...

Meilleurs avis

EB

Feb 19, 2018

Very good course,and an excellent instructor. Thank you very much Professor Kevin Dunn.\n\nI enjoyed your course, and I really appreciate the time and effort you put into those lessons

AC

Feb 19, 2018

Fantastic .. as i am studying to gain the black belt in Six Sigma training, I was stuck on the design of experiment, but with this course I solved it !!!!\n\nHtank you very much

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51 - 75 sur 140 Examens pour Expériences pour des améliorations

par Edgar C L

Apr 30, 2018

Very nice discussion on the method of steepest ascent/descent. Also, this course made me interested on how to come up with a code that is evolves as the experiment progresses so that the software/AI code will be the one to decide which path to take as the results are entered. :)

par Nurudeen D

Jun 29, 2018

Very well taught

par Carly M

Feb 22, 2018

Fantastic course for college engineering students or even recent grads whose program's, as they increasingly do, do not cover DOE in their required coursework.

par Michel A

May 14, 2017

Great entry level course

par Javier H

Aug 11, 2016

EXcellent course!!

par Pablo D G M

Sep 06, 2016

I

par Antonino C

Feb 19, 2018

Fantastic .. as i am studying to gain the black belt in Six Sigma training, I was stuck on the design of experiment, but with this course I solved it !!!!

Htank you very much

par James M

Jun 11, 2018

Excellent course that has wide applicability. The course leader explains concepts in very clear manner, and the case histories are interesting and very helpful.

par Hernán S

Jan 04, 2017

Ha estado genial. Jamás esperé que este curso fuera tan útil. Todo ha sido muy fácil de entender, y de seguro tomaría otro curso con el profesor Dunn.

par Jaime A A C

Jul 17, 2017

muy bueno

par Daniel M G

Jan 26, 2016

Excelente curso, flexible y con suficiente material didáctico fácilmente digerible y cómodo. No importa si se tiene pocas bases matemáticas o estadísticas, el curso proporciona casi toda explicación necesaria para un entendimiento alto.

Ideal para ingenieros en calidad y toda aquella persona que busque el mejoramiento y mejor rendimiento de negocio, procesos, investigación, etc. Apto para TODA persona además curiosa y con ganas de aprender algo nuevo.

par Rodrigo P G

Nov 26, 2017

Awesome!

par Lalo P

Dec 13, 2017

Covers the most important and practical aspects of experimentation, and the use of R really is a plus here. I would definitely recommend this either if you're new to experimentation or if you have some background, a great way to learn from processes and improve them, and the case studies really emphasize the practical aspect in this course.

par Igor V S

Jul 31, 2017

Exelent course!

par Milenko B

Dec 29, 2016

I love this course. The content helped me a lot to get more clarity on this area.

The content is structured in six weekly modules and every section is very well prepared. The videos are interesting and have the right length (not too long) and helped me to stay on track.

par Viktor Z

Feb 28, 2016

Superb

par ALBERTO F

Jan 24, 2018

I like the didactic that results and how they are reviewing concepts during the course. A very well organized course that I definitely recommend.

par Marvin T O

Nov 19, 2015

That was the best course I have taken at coursera. though, it could be better with the next one.

par Carlos O

Feb 04, 2018

Fantastic course. I am just amazed on how simple the concept are explained and the widespread applicability it has. Thank Coursera and in special to Kevin Dunn. You are a wonderful profesor and I am grateful for all you have taught me!

par Raheel S

Nov 30, 2015

Love this course. Very useful.

par Denis B W

Aug 06, 2017

he course offered fast and practical enough tools for self-learning

par Felipe S

Nov 14, 2015

Very informative and easy to understand.

par Ramiro B

Aug 15, 2017

Excellent course. It really looked like the professor and people in charge of the course took the time to provide good material and experience, excellent.

par Erik J

Jan 15, 2017

I really enjoyed this course. It was my first introduction to Design of Experiments topics and I am taking away a lot of knowledge! The pace is just right and the material is covered in a clear manner.

par chintan

Jan 07, 2017

This course is an excellent starting platform for those, who wants to learn more about process optimization. The designing, of course, is excellent and examples are straightforward and easy to understand in each module. I hope tutor, of course, Kevin Dunn, will come with some more advanced course for same. I will like to thank Dr. Kevin Dunn and his team for such making such course.