К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Designing, Running, and Analyzing Experiments · LearnSpace
Назад в каталог
courseraПрограммирование

Designing, Running, and Analyzing Experiments

Курс от University of California San Diego
Средний≈ 15.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required, but you will be required to read, understand, and modify code snippets provided to you. By the end of the course, you will be able to knowledgeably design, run, and analyze your own experiments that give statistical weight to your designs.

Навыки, которые вы освоите

Statistical Hypothesis TestingStatistical AnalysisStatistical ModelingR ProgrammingLogistic RegressionData AnalysisData ValidationHuman Computer InteractionUser ExperienceStatistical ProgrammingUsabilityExperimentationStatisticsUser Experience DesignStatistical MethodsUsability TestingUI/UX ResearchData CollectionRegression Analysis

Программа курса

9 модулей · 51 учебных материалов

01Basic Experiment Design Concepts4 материалов

What You Will Learn in this Course

01. What You Will Learn in this CourseВидеоALL COURSE MATERIALSЧтение

Basic Experiment Design Concepts

02. Basic Experiment Design ConceptsВидео

Module 1 Assessment

Учитесь у экспертов

Scott Klemmer

Professor

Jacob O. Wobbrock

Professor

Designing, Running, and Analyzing Experiments
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 15.2 ч

9 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
Understanding the BasicsЗадание
02Tests of Proportions9 материалов

Description of a Study of User Preferences

03. Description of a Study of User PreferencesВидео

Getting Started with R and RStudio

04. Getting Started with R and RStudioВидео

Exploring Data and a First Test of Proportions

05. Exploring Data and a First Test of ProportionsВидео

Understanding and Reporting Your First Statistical Test

06. Understanding and Reporting Your First Statistical TestВидео

Exact Tests, Asymptotic Tests, and the Binomial Test

07. Exact Tests, Asymptotic Tests, and the Binomial TestВидео

More One-Sample Tests of Proportions

08. More One-Sample Tests of ProportionsВидео

Two-Sample Tests of Proportions

09. Two-Sample Tests of ProportionsВидео

Module 2 Assessment

Understanding Tests of ProportionsЗаданиеDoing Tests of ProportionsЗадание
03The T-Test4 материалов

Experiment Design Concepts in a Simple A/B Test

10. Experiment Design Concepts in a Simple A/B TestВидео

Analyzing a Simple A/B Test with a T-Test

11. Analyzing a Simple A/B Test with a T-TestВидео

Module 3 Assessment

Understanding Experiment DesignsЗаданиеDoing Independent-Samples T-TestsЗадание
04Validity in Design and Analysis6 материалов

Designing for Experimental Control

12. Designing for Experimental ControlВидео

Data Assumptions and Distributions

13. Data Assumptions and DistributionsВидео

Testing for ANOVA Assumptions

14. Testing for ANOVA AssumptionsВидео

Mann-Whitney, a Nonparametric T-Test

15. Mann-Whitney, a Nonparametric T-TestВидео

Module 4 Assessment

Understanding ValidityЗаданиеDoing Tests of AssumptionsЗадание
05One-Factor Between-Subjects Experiments5 материалов

Description of a Study for a Oneway ANOVA

16. Description of a Study for a Oneway ANOVAВидео

Analyzing and Reporting a Oneway ANOVA

17. Analyzing and Reporting a Oneway ANOVAВидео

Kruskal-Wallis, a Nonparametric Oneway ANOVA

18. Kruskal-Wallis, a Nonparametric Oneway ANOVAВидео

Module 5 Assessment

Understanding Oneway DesignsЗаданиеDoing Oneway ANOVAsЗадание
06One-Factor Within-Subjects Experiments7 материалов

Description of a Study for a Oneway Repeated Measures ANOVA

19. Description of a Study for a Oneway Repeated Measures ANOVAВидео

Counterbalancing Repeated Measures Factors

20. Counterbalancing Repeated Measures FactorsВидео

Long-Format and Wide-Format Data Tables

21. Long-Format and Wide-Format Data TablesВидео

The Paired T-Test and Wilcoxon Signed-Rank Test

22. The Paired T-Test and Wilcoxon Signed-Rank TestВидео

Analyzing a Repeated Measures ANOVA and Friedman Test

23. Analyzing a Repeated Measures ANOVA and Friedman TestВидео

Module 6 Assessment

Understanding Oneway Repeated Measures DesignsЗаданиеDoing Oneway Repeated Measures ANOVAsЗадание
07Factorial Experiment Designs6 материалов

Description of a Study for a Factorial ANOVA

24. Description of a Study for a Factorial ANOVAВидео

Understanding Interaction Effects

25. Understanding Interaction EffectsВидео

Analyzing a Factorial ANOVA

26. Analyzing a Factorial ANOVAВидео

The ART, a Nonparametric Factorial ANOVA

27. The ART, a Nonparametric Factorial ANOVAВидео

Module 7 Assessment

Understanding Factorial DesignsЗаданиеDoing Factorial ANOVAsЗадание
08Generalizing the Response4 материалов

Introduction to Generalized Linear Models

28. Introduction to Generalized Linear ModelsВидео

Analyzing Three Generalized Linear Models

29. Analyzing Three Generalized Linear ModelsВидео

Module 8 Assessment

Understanding Generalized Linear ModelsЗаданиеDoing Generalized Linear ModelsЗадание
09The Power of Mixed Effects Models6 материалов

Introduction to Mixed Effects Models

30. Introduction to Mixed Effects ModelsВидео

Analyzing a Linear Mixed Model

31. Analyzing a Linear Mixed ModelВидео

Analyzing a Generalized Linear Mixed Model

32. Analyzing a Generalized Linear Mixed ModelВидео

Course in Review

33. Course in ReviewВидео

Module 9 Assessment

Understanding Mixed Effects ModelsЗаданиеDoing Mixed Effects ModelsЗадание