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Experimentation for Improvement, 맥마스터대학교

4.8
(462개의 평가)

About this Course

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!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯...

최상위 리뷰

대학: 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

필터링 기준:

131개의 리뷰

대학: ABIN JOY

May 14, 2019

good

대학: Stéphane Simard

May 10, 2019

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.

대학: Francisco Astorga

May 10, 2019

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

대학: Asad nazir

May 07, 2019

Kevin Dunn sir i appreciate you effort

대학: Lin, Kai-Cheng

May 06, 2019

One of the best course for Design of Experiment.

대학: KALEEM ULLAH

May 06, 2019

outstanding

대학: Carlo Del Vecchio

Apr 27, 2019

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

대학: José de Jesús Aguayo Haro

Apr 19, 2019

Excelente Curso¡ Muy bien explicado, muy aterrizados cada uno de los conceptos, explicados con ejemplos sencillos, dentro de lo complejo que puede ser este tema. Feliciades a Kevin Dunn, un excelente profesor y colega Ingeniero Qúímico.

대학: Steven Zink

Apr 11, 2019

Satisfying course content and structure. Reasonable course speed. Nice, practical reference. Good introduction to design of experiments and response surface methods.

대학: Ali Bin Naveed

Mar 24, 2019

Very well designed course for individuals looking to understand RSM