Chevron Left
Designing, Running, and Analyzing Experiments に戻る

カリフォルニア大学サンディエゴ校 による Designing, Running, and Analyzing Experiments の受講者のレビューおよびフィードバック



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....



Jun 04, 2017

This was really useful. The course was well structured and provided excellent real-life examples that are easily transferrable to other scenarios. Keep it up!


Jul 17, 2019

Very difficult content of the module, but the teacher explained the issues clearly. Tests were also helpful in understanding and mastering the material.


Designing, Running, and Analyzing Experiments: 151 - 152 / 152 レビュー

by Agnes K

Aug 22, 2016

Neither statistics nor R was covered in any meaningful way. At the end of the course, you are left with frustration for having to jump through the loops, but no understanding of the principles. I am a college instructor for Statistics, having graduated from a PhD program - even with that background I could not follow the instructor.

The course designer never considered the audience, and never identified the goals of this course. The instructor was lost between teaching R and teaching stats, so in the end he did neither. Worst course I have ever taken, both online and face-to-face.

by Alwin K

Sep 26, 2018

There are lots of issues with different version of R and the compatibility with some packages. Especially Mac users can't finish specific tasks.