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Avis et commentaires pour d'étudiants pour Expériences pour des améliorations par Université McMaster

4.8
étoiles
849 évaluations
222 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 1500 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

SM

21 juil. 2020

It is one of the best course present on coursera. I would recommend everyone to take this course. It will not only help you to optimize your activities in work place but also in your personal life.

EB

18 févr. 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

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76 - 100 sur 223 Avis pour Expériences pour des améliorations

par Dr. V C

17 juin 2020

Very well planned course. If anybody is planning for research or experimentation, then this course is very useful.

par andrii c

2 oct. 2020

Good way to get complete and durable knowledge on basics of Experimentation Design. Pleasant manner of teaching.

par sunghyun j

2 janv. 2020

This course is more useful than I could ever imagine. I could earn systematic idea on how to design experiments.

par Nhabella C

26 juin 2019

it's good course because I mostly it's easy to understand and it help me in any fields related to experimental

par MATTIA R

6 janv. 2019

Excellent. Well structured with a lot of practical example. Strongly suggested to increase your DoE skills.

par Oscar B R

10 févr. 2016

Very interesting course for those who want to discover the worl of the experimental design. I recommend it!

par Haoqiang Z

8 nov. 2018

This is absolutely one of the best courses I have ever taken in Coursera, very useful, thank you so much!

par Nefer A V P

3 sept. 2017

Excelente taller, buenos ejemplos y pruebas con una dificultad que debe ser atendida para poder aprobar

par Alex O

15 janv. 2017

Great course. Sort of SW's Rogue One - the one after that you eant to study the univers of engenering.

par John Y

28 févr. 2016

Grounded in real world use. Prepares the student for immediate application of the concepts taught.

par Marvin T O

19 nov. 2015

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

par farrukh j

9 févr. 2016

great course. highly organized and well presented. additional resources are very useful. thanks.

par Michael Z

29 sept. 2019

This course has the best explanation of DOE and response surface methodology I've ever seen.

par Francisco P

18 août 2017

One of the best approaches to introduce into real life experimentation for optimizing process

par Josue R F G

28 avr. 2018

it's a great course, easy to understand even if you don't have and engineering background.

par jayakumar16

29 août 2018

very helpful for those are doing expensive experimental projects and higher studies .

par Juan D L R

10 juin 2018

This course is so good, it's helped me so much with my research. I highly recommend it!

par Vu D

12 avr. 2017

It's really useful and easy to understand for newbie person like me. Thank you so much!

par JennyL

6 mai 2020

Well organized course with applicable examples. Very helpful for experimental design.

par William J G

24 juin 2022

Exellent content and very relevant for making simple or not so simple improvements.

par Carlo D V

1 déc. 2019

Fantastic!!! the most important course about DOE I have done. Useful for mu carrer.

par Lucas F B

29 juin 2020

If you are looking for a straightforward course about RSM, you must take this one.

par Alberto-Javier O R

5 juil. 2019

The instructor explains the topic very well and uses easy to understand examples

par Hunter E

27 oct. 2017

Excellent start in Design of Experiments! I've pointed others to this course.

par K C

28 mai 2017

Great course! Very helpful in visualizing my data and discussing optimization.