Experimentation for Improvement

所在平台: Coursera

课程主页: https://www.coursera.org/learn/experimentation

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课程简介

课程名称：实验改进 课程概述：我们总是在用实验来改善生活、社区和工作。你是否效率地进行这些实验？还是在不断尝试单一变量并寄希望于结果？本课程将教你如何计划高效的实验，测试多个变量，以便用较少的实验找到最佳结果。课程的一个关键部分是如何优化系统。 我们使用简单工具：从手动快速计算开始，随后介绍如何使用免费的软件。 本课程提供幻灯片、所有讲座的讲义文本、字幕（英文、西班牙文和葡萄牙文；部分中文和法文）、视频、音频文件、源代码及一本免费的教科书。所有材料均可自由下载，供学员永久保存。 该课程适合任何在公司工作或希望改变自己生活、社区或邻里的人员，不需要具备统计学或科学背景！这里有适合每个人的内容。 课程大纲： 1. 介绍：我们会讲解课程使用的术语，以示例分析实验，并指出如何避免错误地进行实验。 2. 手动分析实验：重点在于手动计算，帮助理解高效实验的基本组成部分，分析包含2至3个变量的系统。 3. 使用计算机软件分析实验：使用免费软件来处理实验数据，分析含2至4个因素的系统，同时关注软件的解释。 4. 用更少的实验获取更多信息：这部分挑战性较强，旨在理解如何在进行最少实验的情况下收集最多信息。 5. 响应面法（RSM）优化任何系统：开始优化包含1个因素的系统，学习为何逐个优化因素可能存在误导，并用视频展示如何优化包含2个变量的系统。 6. 课程总结与未来方向：总结课程内容并指出后续学习的步骤。 超过1500人完成了这一在线课程。学生们评价该课程为他们最有成效的学习经历之一，认为其讨论的实际案例生动有趣，内容易于理解。

课程大纲

Name:Introduction

Description: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".

Name:Analysis of experiments by hand

Description: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.

Name:Using computer software to analyze experiments

Description: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.

Name:Getting more information, with fewer experiments

Description: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.

Name:Response surface methods (RSM) to optimize any system

Description: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.

Name:Wrap-up and future directions

Description:We close up the course and point out the next steps you might follow to extend what you have learned here.

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