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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/design-experiments
课程评论：没有评论
课程名称：实验设计专业化 课程概述：该系列课程专注于实验设计的基本原理与方法，旨在帮助学员掌握利用统计方法进行过程与产品改进的技巧。通过一系列系统的学习，学员将能够设计、实施和分析各种实验，以优化研究与开发过程。 课程大纲： 1. **实验设计基础** - 提供单位：亚利桑那州立大学 - 内容简介：此课程为设计实验及分析结果数据的基础课程，旨在帮助学员了解实验设计的基本概念和技术。学员可以免费注册课程。 - 课程链接：[实验设计基础](https://www.coursera.org/learn/introduction-experimental-design-basics) 2. **因子与分式因子设计** - 提供单位：亚利桑那州立大学 - 内容简介：许多工程、科学和商业实验涉及多个因素。该课程介绍了如何设计因子和分式因子实验，以提高实验的效率。学员可以免费注册课程。 - 课程链接：[因子与分式因子设计](https://www.coursera.org/learn/factorial-fractional-factorial-designs) 3. **响应面、混合物与模型构建** - 提供单位：亚利桑那州立大学 - 内容简介：响应面方法常用于因子筛选，即识别影响实验结果的因素子集。课程将教授相关的模型构建技巧。学员可以免费注册课程。 - 课程链接：[响应面、混合物与模型构建](https://www.coursera.org/learn/response-surfaces-mixtures-model-building) 4. **随机模型、嵌套与分割样本设计** - 提供单位：亚利桑那州立大学 - 内容简介：许多实验涉及随机选择因素的水平。本课程探讨了在这些情况下的设计方法和应用。学员可以免费注册课程。 - 课程链接：[随机模型、嵌套与分割样本设计](https://www.coursera.org/learn/random-models-nested-split-plot-designs) 通过这些课程，学习者将能够深入了解实验设计的多种方法，并在实际应用中灵活运用所学知识，以促进科研和产品开发的创新与改进。
Course Link: https://www.coursera.org/learn/introduction-experimental-design-basics
Name:Experimental Design Basics
Description:Offered by Arizona State University. This is a basic course in designing experiments and analyzing the resulting data. The course objective ... Enroll for free.
Course Link: https://www.coursera.org/learn/factorial-fractional-factorial-designs
Name:Factorial and Fractional Factorial Designs
Description:Offered by Arizona State University. Many experiments in engineering, science and business involve several factors. This course is an ... Enroll for free.
Course Link: https://www.coursera.org/learn/response-surfaces-mixtures-model-building
Name:Response Surfaces, Mixtures, and Model Building
Description:Offered by Arizona State University. Factorial experiments are often used in factor screening.; that is, identify the subset of factors in a ... Enroll for free.
Course Link: https://www.coursera.org/learn/random-models-nested-split-plot-designs
Name:Random Models, Nested and Split-plot Designs
Description:Offered by Arizona State University. Many experiments involve factors whose levels are chosen at random. A well-know situation is the study ... Enroll for free.
Experimental Designstatistical Methods for Process and Product improvementdesign of experimentsexperiment designdesigning experiments
