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Opiniones y comentarios de aprendices correspondientes a Computational Social Science Methods por parte de Universidad de California, Davis

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54 calificaciones
13 revisiones

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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....

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1 - 13 de 13 revisiones para Computational Social Science Methods

por Jesús P

May 29, 2020

I thank Coursera and the community of teachers, especially Professor Hilbert for the knowledge and training provided. It is an excellent introductory course in Computational Social Sciences. It illustrates very well the new possibilities that we have to investigate in Social Sciences taking full advantage of new tools and methods, in addition to a new theoretical field that is recast with the knowledge obtained by researchers before the digital revolution. The course has practical exercises with which you begin to develop skills to identify sources of information, extract, and process the data available on the internet. The concepts are approached from different perspectives facilitating their learning. Well, you can watch videos, read and observe mind maps.

por Guan-Yuan W

May 31, 2020

This course gave me an overview of the core concepts of computational social science, including big data, machine learning, social network and computer simulation and so forth. Nowadays, owing to massive digital footprints left behind today’s social interactions, there are more and more researches done effectively and accurately by computational means, for example, helping governmental policymaker to make better decisions via data science, studying human behaviour to help our lives better via social network analysis, etc. Thus, as an economics master student, I'd like to apply this sort of tools to develop my personal research.

por OLAYEMI H R

May 03, 2020

I have benefited a lot in this course so far. A lot of concepts i have not heard before and the ones i didn't have clear pictures on before are now clearer. The web scraping was so interesting such that I started developing interest in learning how to web scrape using python. The machine learning tool also, though not really deep, but I enjoyed it. Learning how to use digital footprint for detecting poverty level was really amazing, it boost my moral in understanding how big data is so important in this 21st century. The knowledge garnered in social networking analysis was quite massive. I am happy I took this course.

por Amelia S

May 20, 2020

The lectures are very well structured and the flow of each lectures flows great; reference support and reading material is very satisfying; Presentation support such as drawings, slides, cartoons is very interesting; the way the lecturer teaches is very passionate and very interesting; the speed of the lecturer is suitable to my ability to listen and comprehend; the voice and pronunciation are clear and easy to understand; the material taught is very useful, interesting and up to date; this lecture will be very useful for my career in the future; this lecture will be very useful for real life in the future

por Maria X R

May 27, 2020

I was really impressed by how relevant the topics presented were, and especially by the variety of fields that are shown. This would not have been possible if professors from different backgrounds had not collaborated to create such a rich course like this one. After this course, I am really looking forward to the upcoming courses in the specialization.

por Muxin L

Mar 23, 2020

Great introduction to the specialization series on computational social science. Some technical tools are introduced but the course is largely a primer to what's currently possible in the digital age. Recommend for anyone curious about what this discipline is.

por Malla V

Apr 22, 2020

Got a rudimentary level understanding of the power of computational tools like ML, SNA and ABM can help in analysis of human dynamics

por Sukanto M

Feb 24, 2020

A much needed course in the current scenario.

por Yeh-Kang C

May 23, 2020

Not that hard but really fruitful.

por Benjamin P

Mar 02, 2020

Excellent introduction!!!!

por Noor Q

Mar 07, 2020

This is a really fun course, even though I had some knowledge in the topic it is presented in a fun creative way that I learned a lot and never felt bored.

There were few issues though, the peer graded assessment asks for 5 pictures and then awards people who post more than 5 without saying that is the case in the instructions, as a teacher myself I would never expect students to provide more than they are asked for and penalize them if they don't.

I also found some of the machine learning lecture in week 3 confusing, especially considering I had some background which made me able to keep up, others might struggle.

por Abhyudaya A

May 14, 2020

Great course

por ROBERT C

Apr 17, 2020

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