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.
This course is part of the Interaction Design Specialization
About this Course
Skills you will gain
- Experimental Design
- Statistical Model
- R Programming
Syllabus - What you will learn from this course
Basic Experiment Design Concepts
Tests of Proportions
Validity in Design and Analysis
- 5 stars40.24%
- 4 stars19.86%
- 3 stars14.28%
- 2 stars9.23%
- 1 star16.37%
TOP REVIEWS FROM DESIGNING, RUNNING, AND ANALYZING EXPERIMENTS
This had been the hardest class ever. I don't even know how I passed but also I don't see how I can remember to use Rcode for future work within HCI
Great course. There is some mistakes in some of the quiz. Nevertheless, the professor gives swift feedback to the questions send.
Should cover how to select sample for experiments and perform experimental design test
One of the best courses I have taken in relation to UX. Very good design, engaging lectures and examples, and well designed exams. I learned alot and enjoyed listening to Dr. Webbrock. Kudos to him.
About the Interaction Design Specialization
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