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)
中级
完成时间大约为13 小时
英语(English)
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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)
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 企业版提供方
授课大纲 - 您将从这门课程中学到什么
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
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
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
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
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