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Learner Reviews & Feedback for Computational Social Science Methods by University of California, Davis

4.7
stars
332 ratings

About the Course

This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means. In this course we answer three questions: I. Why Computational Social Science (CSS) now? II. What does CSS cover? III. What are examples of CSS? In this last part, we take a bird’s-eye view on four main applications of CSS. First, Prof. Blumenstock from UC Berkeley discusses how we can gain insights by studying the massive digital footprint left behind today’s social interactions, especially to foster international development. Second, Prof. Shelton from UC Riverside introduces us to the world of machine learning, including the basic concepts behind this current driver of much of today's computational landscape. Prof. Fowler, from UC San Diego introduces us to the power of social networks, and finally, Prof. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the mysteries of social emergence....

Top reviews

TR

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The course was very well planned. The course does not need any prior specialization and anybody with diligence and intent can acquire the skill taught through this course with ease

DR

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Fantastic introduction to social network analysis and how modeling and machine learning are used to plan or predict future actions from past data.

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51 - 75 of 82 Reviews for Computational Social Science Methods

By Maribel M

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Sep 24, 2022

Very well structured! Clear explinations.

By Akhil S

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Aug 31, 2020

Good Overview, 10,000 ft bird's eye view ;)

By Angad P T

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Aug 18, 2020

Great learning experience! Thank you

By Yehkang C

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May 23, 2020

Not that hard but really fruitful.

By Benjamin P

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Mar 1, 2020

Excellent introduction!!!!

By Rosabell L A C

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Aug 29, 2021

me gustó mucho el curso

By Mauricio G G

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Sep 23, 2020

Excellent course

By Jiayi Q

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Sep 19, 2023

good course!

By Patricio V

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May 7, 2021

Outstanding

By ENER A B E

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Sep 1, 2023

todo claro

By عبدالرحمن ب ا م

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Sep 10, 2023

very good

By JOSE N

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Jul 23, 2023

Excelente

By Leen K

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Oct 3, 2020

Amazing!

By Cristian X V R

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Oct 2, 2022

its ok

By Mona A A

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Aug 1, 2020

good

By Ben B

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Nov 10, 2020

The specialization offers a great first overview of the field of computational social sciences. You will work with simple (and messy) tools which offer you the opportunity to get your hands dirty quickly. Most likely, you will not use these very tools later in your own research because they are just to limited and simple. Prof Hilbert is an entertaining lecturer and all the guest lectureres (or collaborators) in the specialization offer interesting insights. Be warned that the peer-review process might take a while (a couple of days). There are other learners but it seems that this course (and all courses of the specialization) are not that crowded.

By QUINIOU V

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Aug 9, 2020

Very insightful introduction to computational social science methods. I understand that modelling is not an easy stuff, and we have to very careful when manipulating them, or deduce and propose things. It is very fascinating to learn all the discoveries from Pr Fowler.

By Desirée O

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Aug 21, 2022

Very good, but I would have liked to know more about technical skills than theoretical anedotes. Thank you!

By Michael K

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Jul 7, 2021

good starting point, motivating and broad + some nice hands on example. really good

By G.W

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Jun 13, 2020

Good and comprehensive overview of computational social sciences

By Abhyudaya A

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May 14, 2020

Great course

By SADIQ T

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Aug 22, 2021

good

By Kevin S

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Jun 28, 2021

Nice overview with a few flaws in presentation and especially in the lack of hands-on activities.

By Robbie C (

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Apr 17, 2020

Great content! Quiz questions need to be reconsidered, and more projects would be useful

By Muhammad I R

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Nov 23, 2023

Overall a good course, Best part is web scrapping.