- De www.coursera.org
Designing, Running, and Analyzing Experiments
Curso
en
Inglês
90 h
Este conteúdo é classificado como 0 de 5
- Individualizado
- Acesso livre
- Certificado pago
- 9 sequências
- Intermediate Level
Detalhes do curso
Programa de Estudos
- 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...
Pré-requisito
Nenhum.
Instrutores
Scott Klemmer
Professor
Cognitive Science & Computer Science
Jacob O. Wobbrock
Professor
The Information School
Editor
A Universidade da Califórnia em San Diego é uma universidade pública de investigação em San Diego, Califórnia. Fundada em 1960 perto do já existente Scripps Institution of Oceanography, a UC San Diego é o mais meridional dos dez campus da Universidade da Califórnia e oferece mais de 200 programas de graduação e pós-graduação, matriculando 33.096 alunos de graduação e 9.872 alunos de pós-graduação.
A UC San Diego é considerada uma das melhores universidades do mundo. Várias publicações classificaram os Departamentos de Ciências Biológicas e Ciências da Computação da UC San Diego entre os 10 melhores do mundo.
Plataforma
A Coursera é uma empresa digital que oferece um curso on-line massivo e aberto, fundado pelos professores de computação Andrew Ng e Daphne Koller Stanford University, localizado em Mountain View, Califórnia.
O Coursera trabalha com as melhores universidades e organizações para disponibilizar alguns dos seus cursos on-line e oferece cursos em várias disciplinas, incluindo: física, engenharia, humanidades, medicina, biologia, ciências sociais, matemática, negócios, ciência da computação, marketing digital, ciência de dados. e outros assuntos.Cours
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