Experimentation for Improvement

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Description

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 hand calculations, 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 …

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Didn't find what you were looking for? See also: French, Software testing, Spanish, Hour of Code, and Full time MBA.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

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 hand calculations, 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. ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ 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!" ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯

Created by:  McMaster University
  • Taught by:  Kevin Dunn, Assistant Professor

    Chemical Engineering
Level Intermediate Commitment 2 to 3 hours of lectures and assessments per week, over 5 weeks of study Language English, Subtitles: Spanish, Portuguese (Brazilian) Hardware Req You will require a computer with a web browser in module 3, 4 and 5 of the course. How To Pass Pass all graded assignments to complete the course. User Ratings 4.8 stars Average User Rating 4.8See what learners said 课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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证书

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McMaster University Founded in 1887, McMaster University is committed to creativity, innovation, and excellence by inspiring critical thinking, personal growth, and a passion for learning. Ranked amongst the Top 100 universities in the world, McMaster pioneered a learner-centred, problem-based, interdisciplinary approach to learning that is now known worldwide as the “McMaster Model”.

Syllabus


WEEK 1


Introduction
We perform experiments all the time, so let's learn some terminology that we will use throughout the course. We show plenty of examples, and see how to analyze an experiment. We end by pointing out: "how not to run an experiment".


5 videos, 1 reading, 1 practice quiz expand


  1. Video: Promotional video for this course
  2. 阅读: Materials for this section
  3. Video: 1A: Why experiments are so important
  4. Video: 1B: Some basic terminology
  5. Video: 1C: Analysis of your first experiment
  6. Video: 1D: How NOT to run an experiment
  7. 练习测验: Ungraded practice quiz 1

Graded: Module 1 quiz

WEEK 2


Analysis of experiments by hand
The focus is on manual calculations. Why? Because you have to understand the most basic building blocks of efficient experiments. We look at systems with 2 and 3 variables (factors). Don't worry; the computer will do the work in the next module.


5 videos, 1 reading, 1 practice quiz expand


  1. 阅读: Materials for this section
  2. Video: 2A: Analysis of experiments in two factors by hand
  3. Video: 2B: Numeric predictions from two-factor experiments
  4. Video: 2C: Two-factor experiments with interactions
  5. Video: 2D: In-depth case study: analyzing a system with 3 factors by hand
  6. 练习测验: Ungraded practice quiz 2
  7. Video: Enrichment: Made for you by Madeleine: an interview with Joy

Graded: Module 2 quiz

WEEK 3


Using computer software to analyze experiments
Now we use free software to do the work for us. You can even run the software through a website (without installing anything special). We look at systems with 2, 3 and 4 factors. Most importantly we focus on the software interpretation.


5 videos, 1 reading, 1 practice quiz expand


  1. 阅读: Materials for this section
  2. Video: 3A: Setting up the least squares model for a 2 factor experiment
  3. Video: 3B: Solving the mathematical model for a 2 factor experiment using software
  4. Video: 3C: Using computer software for a 3 factor experiment
  5. Video: 3D: Case study: a 4-factor system using computer software
  6. 练习测验: Ungraded practice quiz 3
  7. Video: Enrichment: Dr. Soo Chan Carusone talks about experiments in a medical context

Graded: Module 3 quiz

WEEK 4


Getting more information, with fewer experiments



This is where the course gets tough and rough, but real. The quiz at the end if a tough one, so take it several times to be sure you have mastered the material - that's all that matters - understanding. We want to do as few experiments as possible, while still learning the most we can. Feel free to skip to module 5, which is the crucial learning from the whole course. You can come back here later. In module 4 we show how to do *practical* experiments that practitioners use everyday. We learn about important safeguards to ensure that we are not mislead by Mother Nature.


9 videos, 1 reading, 2 practice quizzes expand


  1. 阅读: Materials for this section
  2. Video: 4A: The trade-offs when doing half-fraction factorials
  3. Video: 4B: The technical details behind half-fractions - math warning!
  4. Video: 4C: A case study with aliasing in a fractional factorial
  5. Video: 4D: All about disturbances, why we randomize, and what covariates are
  6. 练习测验: Ungraded practice quiz 4: [4A,B,C,D]
  7. Video: 4E: All about blocking
  8. Video: 4F: Introducing aliasing notation
  9. Video: 4G: Using aliasing notation to plan experiments
  10. Video: 4H: An example of an analyzing an experiment with aliasing
  11. 练习测验: Ungraded practice quiz [4E, 4F, 4G, 4H]
  12. Video: Enrichment: My colleague, David, and his student Jeff, talk about water treatment experiments

Graded: Module 4 quiz [4A to 4H]

WEEK 5


Response surface methods (RSM) to optimize any system



This is the goal we've been working towards: how to optimize any system. We start gently. We optimize a system with 1 factor and we also show why optimizing one factor at a time is misleading. We spend several videos to show how to optimize a system with 2 variables.


8 videos, 1 reading, 2 practice quizzes expand


  1. 阅读: Materials for this section
  2. Video: 5A: Response surface methods (RSM): an introduction
  3. Video: 5B: Response surface methods (RSM): one variable
  4. Video: 5C: Why changing one factor at a time (OFAT) will mislead you
  5. Video: 5D: The concept of contour plots and which objectives should we maximize
  6. 练习测验: Ungraded practice quiz [5A, 5B, 5C, 5D]
  7. Video: 5E: RSM in 2 factors: introducing the case study
  8. Video: 5F: RSM case study continues: constraints and mistakes
  9. Video: 5G: RSM case study continues: approaching the optimum
  10. 练习测验: Ungraded practice quiz [5E, 5F, 5G]
  11. Video: Enrichment: An interview with Dr. Joe Kim (McMaster University)

Graded: Module 5 quiz [5A, 5B, 5C, 5D]
Graded: Module 5 quiz [5E, 5F, 5G]

WEEK 6


Wrap-up and future directions
We close up the course and point out the next steps you might follow to extend what you have learned here.


1 video, 1 reading, 1 practice quiz expand


  1. 阅读: Materials for this section
  2. Video: 6: The big picture (wrapping it up, and other topics)
  3. 练习测验: Final survey: your feedback and comments
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