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Designing, Running, and Analyzing Experiments, University of California San Diego

3.6
357 calificaciones
131 revisiones

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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....

Principales revisiones

por DS

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!

por ZW

Jul 26, 2017

Have to watch three times to keep up because it is really hard for people without former experiences... Anyway it is worth it

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126 revisiones

por Julie B

Oct 17, 2018

This course was extremely helpful in understanding which statistical test to use when, with applications specifically for interaction design, which is what I need :) I appreciated the clear relationship between the lectures and the quizzes & assignments. The lectures also were clear. The course was broken up into doable chunks that made it easy to take while still having a full-time job.

por Luis Piedrahita

Oct 05, 2018

Very boring, and not useful for the normal work market

por Alwin Kokta

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.

por Guyin Lauren Yu

Aug 31, 2018

More comprehensive than in-depth.

por Audree Lapierre

Aug 11, 2018

I was enthusiastic about this class but it ended up being useless to me. While the structure allowed me to jump right in R, I felt like without any prior knowledge of statistics, I was just copy pasting without really understanding the tests, and why to use one rather than another. I guess going deeper into what things mean, or adding more context to the tests would help for designers with little background of stats. For example, even though it was explained, it would have been nice that every time we had a new dataset, to take the time to explain what type of survey it was, vs the previous ones, and to map it to the grid. This was assumed as a given, but I feel I would still have trouble figuring out which test to use on my own. So overall this was a good class but missing some content for the beginners.

por Maisa Dalben

Aug 09, 2018

Really hard, but really great!

por Noor Shazwanee Razali

Aug 01, 2018

Should cover how to select sample for experiments and perform experimental design test

por Vin

Jul 29, 2018

Great course, a little too long compared to other courses

por ctvv3010

Jul 10, 2018

it's a little too much materials. I wish the course materials are less dense, though I really appreciate the efforts of the instructors creating this course

por Md Hasan Shahriar Simanto

Jul 04, 2018

Awesome Course! Thanks to Dr. Wobbrock for his clear explanations!