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CourseraDesign ThinkingFree courseCertificate

Experimentation for Improvement

Created by: Kevin Dunn

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Overall Score : 98 / 100

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Course Description

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 didActico fAcilmente digerible y cAmodo. No importa si se tiene pocas bases matemAticas o estadAsticas, el curso proporciona casi toda explicaciAn 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!"---------------

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Instructor Details

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Kevin Dunn is an assistant professor at McMaster University, in Hamilton, Ontario, Canada. He focuses on teaching students the foundations of chemical engineering. With a strong interest in teaching innovation, he investigates the use of software and novel teaching techniques in engineering education. Kevin also applies his knowledge and experience outside the university, advising companies on the use of databases, optimization and using experiments. He is the author of the textbook "Process Improvement Using Data".

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Reviews

4.9

139 reviews in total

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By Ricardo A on 9-Oct-19

Best MOOC ever! Courses starts from the basics and go on a step at time. Very easy to understand. I really enjoyed this course.

By PK M on 1-Oct-19

This course is great to learn how to make experiments. I am working as an Engineer in a company and i used this knowledge to resolve some problems.

By Ruiliang L on 29-Sep-19

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

By Abdullah on 11-Sep-19

Good course for all levels of students.

By Yuqing Z on 9-Aug-19

Thank you for a good experience!

By Robin S on 5-Jul-19

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

By Peter S on 27-Jun-19

Great course, I have learned a lot. The teacher is great and responds to your questions very quickly. The videos are great, crammed with real world examples. Very practical course and very interesting. This is a moneymaker for process improvers.

By Mohamed F on 26-Jun-19

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

By Chen N on 18-Jun-19

Un excelente y completo curso para mejorar experimentaciones

By Elvis S on 14-May-19

good

By Joey C on 10-May-19

Good way to learn about experimentation with a great and simple approach to R

By Raivis J on 10-May-19

This is one of the most useful courses around for every engineer, scientist, and researcher. However, it appears that this fundamental experimentation methodology is not being taught in every standard university curriculum. It was never covered in all my background in computer science, engineering, and research, neither at the bachelor's, nor postgraduate levels. A great addition! The course is very well taught, and provides extensive learning material, including lecture notes, and a PDF copy of a complete course manual by the author. Thank you very much, prof. Kevin Dunn.

Showing 12 of 139 reviews