Chevron Left
返回到 设计,运行和实验分析

學生對 加州大学圣地亚哥分校 提供的 设计,运行和实验分析 的評價和反饋

3.6
489 個評分
178 條評論

課程概述

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....

熱門審閱

MP

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.

KN

Jul 05, 2020

Great and Challenging course material. The course will make it easy for you to understand what kind of experiments to conduct in different scenarios.

篩選依據:

26 - 设计,运行和实验分析 的 50 個評論(共 173 個)

創建者 Dimitra R

Mar 29, 2020

I'm sure it's a very helpful course for people who specifically need R training or are familiar with statistical computing , but it shouldn't have been part of the Interaction Design specialization. It's extremely complicated, assumes a lot of previous knowledge, and feels hardly applicable or related to the previous courses. It was a complete pain from start to finish, like being back in school in an obscure math class you have zero interest in, especially after completing 6 interesting design courses full of practical assignments. Even the title is misleading as there was nothing about designing, running and analyzing experiments (that actually sounds interesting) - this course is more like 'running data analysis tasks on Rstudio' and that's about it. If we did need some kind of glimpse into this world for the specialization, a simple 'Introduction to Social Statistics' or somethings similar would have gone a long way.

創建者 cristina m

Jun 25, 2020

This course requires significant knowledge of statistics and coding. It is not a class you can just jump into to learn as a beginner. The teacher doesn't explain anything well - he assumes you already know what he's talking about and he is not helpful in his Discussion Forums often blaming students for not already knowing what he's talking about. This class should not be part of this series.

創建者 Tania C

Jan 09, 2017

NOT FOR PEOPLE WHO DON'T KNOW R TOOL!

This course needs an interesting approach to keep students wanting to study. The teaching method was boring. The professor was reading things from the screen 90% of the times (he looked bored himself). The topics covered in this course need more time for students to understand 10 weeks are insufficient.

創建者 Gabriella F

Apr 06, 2017

This is the specialisation that sucks all joy out of the entire course. 6 month on and I am still on week 2. The software and the provided files are not fully working, something is always missing, constant error messages... If you don't have background in statistics, you will have a very difficult time.

創建者 Christoph H

Apr 03, 2016

Overall the videos related to the quizzes are to vague and un detailed, I more often than not feel lost.

Also this should not be part of the interaction design specialisation, and just be a small part of another course.

Not once have I needed R or statistic in my 7 year design career.

創建者 Jayneil D

Nov 06, 2017

The course content is really valuable but the follow up exercises are really difficult to solve on your own. There is not enough explanation given in the lectures by the professor and its really difficult. Some of the answers are incorrect yet no explanation is given.

創建者 Jorge E

Apr 04, 2016

Disappointed ... very technical course and not so practical for today's world, there is a lot of terms and subjects that you require a good background in statistics analysis to understand well. It is a shame that this take part of the specialization program.

創建者 Orit S

Apr 11, 2017

Too much statistics, too much coding and inadequate instruction. This is not a coding specialization and if I wanted to learn coding I would have taken a coding course! This 9 weeks course has been a nightmare!

創建者 Katie T

Jun 03, 2017

This class was terrible. The homework took significant leaps beyond the in-class exercises, it was hard to follow, and definitely overwhelming for someone without R, programming, or statistics experience.

創建者 Anastasiya S

Oct 23, 2017

I have no statistics background so I'm struggling to make any sense out of this course. I wish I could skip it but it is mandatory to proceed to capstone project of the specialization.

創建者 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.

創建者 Muhammad Q

Oct 19, 2017

not helpful , extremely difficult for non programming background people , out of context of the course , bad teaching material and approach

創建者 Wendy B

Mar 24, 2016

Not recommended. Not clear why we need to use R and learn all this statistics. Not practical for use in UX design.

創建者 Keenan W

Mar 20, 2016

Little to no use for me. Should not be included in the specialization... I didn't sign up for a data class...

創建者 Fernando B G

Apr 22, 2018

Needed to much knowledge of the R language and has little to do with design

創建者 Alex K

Aug 29, 2017

This has been the most frustrating experience of my digital life.

創建者 Daryna A

Dec 16, 2016

Too much theory less practical things.

創建者 Carlos M D

Sep 23, 2016

Amazing class. Covers a great deal of statistical methods and explains them in a plain/clear/accessible way with good examples.

It cuts through the chase and gives you what you need to know (the real essentials) from a practical standpoint. You will not get a lot of theory (for that, there are plenty additional courses) but you will get enough theory to select the right method for each scenario.

It will not teach you to program in R from zero (for that there are many other courses) but it will jump start you with snippets of code that you can read, understand, modify, and use.

Real useful stuff... done the proper way...

創建者 Juliana E R

Jun 07, 2017

I could immediatly implement the concepts and instruments provided in this course to my professional activity. I must say that I have a poor training in statistics and a superficial knowledge of R, but I needed to implement more professional usertests (I'm an instructional designer with a background on education).

I really enjoyed the clear explanations; above all, how the concepts where linked to R practice, which was thrilling to me.

Thanks to the team! Great course!

Juliana

創建者 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.

創建者 Anastasia T

Jun 08, 2016

That course was going to drive me mad but it's one of the most useful parts of the specialization. I already know where to use it in my job as most people listen to numbers more. I think that the problems that appeared in the process of calculating the results are some bugs in R and have nothing to do with the design of the course. Good job, Jacob and Scott! You're great, guys!

創建者 Victoria

Aug 13, 2019

Great course on experimental design providing a detailed overview of running and interpreting factorial ANOVAs beyond the 'standard' t-test and chi-squared test. Given that the bulk of the assessment is based on analysis of experiment data in the R programming environment , I can see why this course may be challenging for those without programming or statistical knowledge.

創建者 Gez Q

Oct 02, 2016

Excellent course. Very well organised. Challenging yet satisfying. Jacob Wobbrock is a very good tutor and despite the complex nature of the course material, he is engaging and thorough in his approach but leaving just enough for the student to explore and practice on their own. Very enjoyable. Thanks

創建者 Timo S

Mar 03, 2018

This course was an deep dive into data analytics and designing experiments for analytics. Although there was a great requirement to perform the tests by yourself - which i guess some designers don't appreciate - it still was an exciting and challenging experience!

創建者 Lance F

Mar 18, 2018

Great course! Very applied and less theoretical which is great in understanding how to analyze experiments without getting too deep into the theory. Would love a follow up course that dives deeper into the mechanics of the functions used in this course!