本课程是实验设计专项课程专项课程的一部分

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Douglas C. Montgomery

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实验设计专项课程亚利桑那州立大学

课程信息

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Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a process or system that are of primary important to the response. Once the set of important factors are identified interest then usually turns to optimization; that is, what levels of the important factors produce the best values of the response.  This course provides design and optimization tools to answer that questions using the response surface framework.  Other related topics include design and analysis of computer experiments, experiments with mixtures, and experimental strategies to reduce the effect of uncontrollable factors on unwanted variability in the response.

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第 3 门课程（共 4 门）

实验设计专项课程

中级

完成时间大约为13 小时

英语（English）

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您将学到的内容有

Conduct experiments w/computer models and understand how least squares regression is used to build an empirical model from experimental design data
Understand the response surface methodology strategy to conduct experiments where system optimization is the objective
Recognize how the response surface approach can be used for experiments where the factors are the components of a mixture
Recognize where the objective of the experiment is to minimize the variability transmitted into the response from uncontrollable factors

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 3 门课程（共 4 门）

实验设计专项课程

中级

完成时间大约为13 小时

英语（English）

对员工进行热门技能培训能否为您的公司带来益处？

体验 Coursera 企业版

授课教师

授课教师评分

4.7/5 （18 个评分）

Douglas C. Montgomery

Regents’ Professor of Engineering, ASU Foundation Professor of Engineering

School of Computing, Informatics, and Decision Systems Engineering

15,826 个学生

4 门课程

提供方

亚利桑那州立大学

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.

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授课大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 5 小时

Unit 1: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs

完成时间为 5 小时

12 个视频（总计 125 分钟）, 4 个阅读材料, 3 个测验

12 个视频

Instructor Introduction3分钟

Course Introduction 4分钟

More About Factorial and Fractional Factorial Designs15分钟

The 3^3 Design11分钟

The 3^k Factorial Design13分钟

Confounding17分钟

Fractional Replication of the 3^k Factorial Design11分钟

Factorials with Mixed Levels6分钟

Nonregular Fractional Factorial Designs14分钟

Use of an Optimal Design Tool17分钟

Syrup Loss Example4分钟

Unusual Blocking Example4分钟

4 个阅读材料

Course Description10分钟

Course Textbook and Resources10分钟

Best Practices in Online Learning (or How to Succeed in This Class)10分钟

Unit 1: Introduction10分钟

2 个练习

Unit 1: Concept Questions30分钟

Exercise 130分钟

周

周 2

完成时间为 2 小时

Unit 2: Regression Models

完成时间为 2 小时

7 个视频（总计 98 分钟）, 1 个阅读材料, 2 个测验

周

周 3

完成时间为 4 小时

Unit 3: Response Surface Methods and Designs

完成时间为 4 小时

14 个视频（总计 178 分钟）, 1 个阅读材料, 2 个测验

14 个视频

Response Surface Methodology7分钟

The Method of Steepest Ascent15分钟

Second-Order Models in RSM11分钟

Ridge Systems11分钟

Multiple Responses14分钟

Experimental Designs for Fitting Response Surfaces18分钟

Blocking in a Second-Order Design15分钟

The Adhesive Pull-Off Force Experiment9分钟

General Structure of a Definitive Screening Design with m Factors9分钟

Experiments with Computer Models16分钟

Mixture Experiments15分钟

Constraints10分钟

Chemical Process Example13分钟

Paint Formulation Example7分钟

1 个阅读材料

Unit 3: Introduction10分钟

2 个练习

Unit 3: Concept Questions30分钟

Exercise 330分钟

周

周 4

完成时间为 2 小时

Unit 4: Robust Parameter Design and Process Robustness Studies

完成时间为 2 小时

4 个视频（总计 39 分钟）, 1 个阅读材料, 2 个测验

审阅

4.7

14 条评论

5 stars
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4 stars
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2 stars
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来自RESPONSE SURFACES, MIXTURES, AND MODEL BUILDING的热门评论

由 AZ 提供Oct 9, 2021

DoE is an essential but forgotten initial step in the experimental work! This course gives a very good start and breaking the ice for higher quality of experimental work.

由 DR 提供Jul 25, 2020

It was a great experience for me to do the RSM model building an online course. I learned experimental designs for fitting response surfaces.

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关于实验设计专项课程

Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex experiments such as those with hard-to-change factors and unusual responses. There is thorough coverage of modern data analysis techniques for experimental design, including software. Applications include electronics and semiconductors, automotive and aerospace, chemical and process industries, pharmaceutical and bio-pharm, medical devices, and many others.

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Response Surfaces, Mixtures, and Model Building

课程信息

您将学到的内容有