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Learner Reviews & Feedback for Designing, Running, and Analyzing Experiments by University of California San Diego

3.6
stars
581 ratings

About the Course

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....

Top reviews

PK

Nov 17, 2020

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.

MS

Nov 28, 2020

Great course.

Highly recommended. It was very clear and I'm very thakful because there were many subjects I only understood partially before this course but are now very clear to me.

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151 - 175 of 218 Reviews for Designing, Running, and Analyzing Experiments

By Muhammad A I

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Jul 16, 2017

Too technical for my taste. I understood the concepts but as we progressed, the code itself was extremely complicated with A LOT to grasp within a weeks time. I relied on the hints and code keys provided in examinations. I would highlighy recommend either rethinking if code should be part of this. Or improve how we can test/ increase the friendliness. No offence intended, just want to help :)

By michele w

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Nov 12, 2016

This module took me on an interesting journey with lots of twists and turns. While I love challenges and learning otherwise I wouldn't have taken this course. I'd like to suggest the following: mentor to assist students, review of codes I found lots of glitches, one quiz rather than two, cut back on timeframe. I'd like to give more stars but am being generous with 3 stars.

By Tin M

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Feb 12, 2019

This is a very interesting and an important area in the Interaction Design Specialisation. This should have a dedicated specialisation on its own. While the exercises and the lectures are pretty decent,I don't think it's adequate to really grasp and master this subject. However, it's still a pretty good introduction enough to give someone a basic working knowledge.

By Raluca M

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Aug 7, 2019

Very, very, difficult. I'm finding myself having a harder time to pass this than structural design in architecture university, and that says a lot. At least in school we had the option to ask other students, but online, this resource is way less present. I did start getting some principles, but this needs rebalancing in my view.

By Alexa B

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Dec 28, 2021

This one felt really out of place with the rest of the courses. I feel like 2-3 weeks tops would have got me the basic knowledge, I've also heard from multiple people that Python would be preferable to learn for statistic analysis over R. Overall, just SO happy to have this one done so I don't have to keep stumbling through R.

By Mirjana P

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Apr 27, 2016

I was able to follow the course and keep the pace but I got lost on factorial ANOVA. The professor is great but the course feels rushed through. It would be great if more time was spent on actual explanation of main concepts, since many here are the beginners in stats. I will try again, hopefully will get it this time.

By Hossein R

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Jun 14, 2017

Great overview of different analysis, however I would not be able to do the tests without trail and error, and the available codes! 9 weeks, but it went too fast through the course, i would suggest to either make the course shorter to go deep in a few concepts, OR make it much longer so learners can understand.

By Amy B

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Jun 22, 2020

This came slightly unexpected, and was quite challenging which is good. It was a lot condensed into a short period. It would have been nice if it was updated as their were a few issues because of it but not a huge deal - the forums were helpful.

By Sofía

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May 11, 2017

There is alot o f bugs on the exams and some questions are really confusing about what the point is about. I liked the way the professor explain every thing and theme was so simple even for someone that has not a background in coding like me.

By Chris C

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Apr 24, 2016

I think the course requires some basic statistic knowledge which I do not know anything about, it is tough to keep out. If providing some basic reading or keynote before hand would be really helpful!

By Jeffrey K

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Jul 8, 2021

I would give it a 3.5 if there were half scores. This course requires way too much time and is quite tedious, however, the instructor explains the somewhat "dry" material very well.

By Guillermo

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Sep 20, 2021

The truth is that I expected more. It is one of the most complex parts that I will have to reinforce because there are many things that have not been clear to me

By Tam N

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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

By Juan C D

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Jul 23, 2017

It's really interesting to learn it but it's not easy at all. Maybe you will need an statistic professor to understand it perfectly.

By Nate L

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May 24, 2017

Way to much stuff for students who haven't learned statistic before.

9 weeks are just too short for these abundant material.

By Ymmannuelle V

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Jul 27, 2017

While it's a fun course (and challenging), retaining all the information could be a challenge if not put into practice.

By Candice L

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May 6, 2016

Not finding it very useful, but it's good to know about the concepts and theories for each type of experiments.

By Emerson W

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Mar 17, 2019

This should really be broken up into several separate classes. It is a whole lot at 1 time.

By Justina

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Jul 20, 2017

I would have rather gone deeper into the tests, than quickly run through them.

By Jared B

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May 16, 2016

Quite advanced in contrast to the rest of this specialization!

By xue z

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Jun 13, 2019

It requires a lot of knowledge of R and statistic

By Varaga P

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May 11, 2020

Nothing to do with the overall specialization

By XIE Y

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Aug 26, 2017

Content a bit too hard

By Estefania W

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Aug 21, 2019

Very hard

By Kolesova V

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Feb 16, 2017

difficult