- 来自www.coursera.org
Designing, Running, and Analyzing Experiments
课程
en
英语
90 时
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- 9 序列
- 等级 中级
课程详情
教学大纲
- Week 1 - Basic Experiment Design Concepts
In this module, you will learn basic concepts relevant to the design and analysis of experiments, including mean comparisons, variance, statistical significance, practical significance, sampling, inclusion and exclusion criteria, and informed consent. You’ll a... - Week 2 - Tests of Proportions
In this module, you will learn how to analyze user preferences (or other tallies) using tests of proportions. You will also get up and running with R and RStudio. Topics covered include independent and dependent variables, variable types, exploratory data anal... - Week 3 - The T-Test
In this module, you will learn how to design and analyze a simple website A/B test. Topics include measurement error, independent variables as factors, factor levels, between-subjects factors, within-subjects factors, dependent variables as responses, response... - Week 4 - Validity in Design and Analysis
In this module, you will learn about how to ensure that your data is valid through the design of experiments, and that your analyses are valid by understanding and testing for their assumptions. Topics include how to achieve experimental control, confounds, ec... - Week 5 - One-Factor Between-Subjects Experiments
In this module, you will learn about one-factor between-subjects experiments. The experiment examined will be a between-subjects study of task completion time with various programming tools. You will understand and analyze data from two-level factors and three... - Week 6 - One-Factor Within-Subjects Experiments
In this module, you will learn about one-factor within-subjects experiments, also known as repeated measures designs. The experiment examined will be a within-subjects study of subjects searching for contacts in a smartphone contacts manager, including the ana... - Week 7 - Factorial Experiment Designs
In this module, you will learn about experiments with multiple factors and factorial ANOVAs. The experiment examined will be text entry performance on different smartphone keyboards while sitting, standing, and walking. Topics include mixed factorial designs, ... - Week 8 - Generalizing the Response
In this module, you will learn about analyses for non-normal or non-numeric responses for between-subjects experiments using Generalized Linear Models (GLM). We will revisit three previous experiments and analyze them using generalized models. Topics include a... - Week 9 - The Power of Mixed Effects Models
In this module, you will learn about mixed effects models, specifically Linear Mixed Models (LMM) and Generalized Linear Mixed Models (GLMM). We will revisit our prior experiment on text entry performance on smartphones but this time, keeping every single meas...
先决条件
没有。
讲师
Scott Klemmer
Professor
Cognitive Science & Computer Science
Jacob O. Wobbrock
Professor
The Information School
编辑
加州大学圣地亚哥分校是位于加利福尼亚州圣地亚哥的一所公立赠地研究型大学。加州大学圣地亚哥分校成立于 1960 年，位于斯克里普斯海洋学研究所附近，是加州大学十个校区中最南端的一个，提供 200 多个本科和研究生学位课程，在校本科生 33,096 人，研究生 9,872 人。
加州大学圣地亚哥分校被认为是世界上最好的大学之一。多份出版物将加州大学圣地亚哥分校的生物科学系和计算机科学系评为世界前十名。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
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