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.
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このコースについて
学習内容
Examine the history and current challenges faced by Social Science through the digital revolution.
Configure a machine to create a database that can be used for analysis.
Discuss what is artificial intelligence (AI) and train a machine.
Discover how social networks and human dynamics create social systems and recognizable patterns.
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カリフォルニア大学デービス校(University of California, Davis)
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
シラバス - 本コースの学習内容
Computational Social Science (CSS)
In this module, you will be able to examine the history and current challenges faced by social science through the digital revolution. You will be able to discuss the mystery at the core of society: social emergence. You will be able to recall the fundamental building blocks of the scientific method and how they apply to the new computational tools we now have available. You will be able to defend what people mean when they say that ‘social studies’ are currently maturing to become a ‘real science’.
Example of Computational Social Science: Data Science
In this module, you will be presented with an example of how computational social science is applied in the real world through a case study. You will be able to discuss examples of digital footprint and describe how computational social science is applied. You will practice an activity and be able to configure a machine to create a database that can later be used for analysis.
Examples of CSS: Machine Learning & AI
In this module, you will be able to discover how artificial intelligence can convert news stories into a real-time observatory of global unrest and potential terror attacks, and how brain scans can be used to reveal aspects of your moral values. You will be able to practice interacting with artificial intelligence that can interpret your art skills.
Examples of CSS: Social Networks and Computer Simulations
In this module, you will be able to discover how social networks and human dynamics create systems that are larger than you and me: social systems. You will be able to discuss how social networks and human dynamics follow recognizable patterns. You will be able to identify how social network analysis and computer simulations are currently quite successful in untangling some of the mysteries of social emergence.
レビュー
- 5 stars79.49%
- 4 stars14.38%
- 3 stars1.79%
- 2 stars2.15%
- 1 star2.15%
COMPUTATIONAL SOCIAL SCIENCE METHODS からの人気レビュー
Don't expect to dive deep into computational tools, but it's a great introductory course into Computational Social Science and the professors are great.
Amazing gateway to doing real science in social science. Thank you, Professor Hilbert!
Good overview of computational social science concepts and serves to ignite interest in this exciting field.
Got a rudimentary level understanding of the power of computational tools like ML, SNA and ABM can help in analysis of human dynamics
計算社会科学専門講座について
For more information please view the Computational Social Science Trailer

よくある質問
いつ講座や課題にアクセスできるようになりますか?
この専門講座をサブスクライブすると何を行うことができるようになりますか?
学資援助はありますか?
What do students say after completion?
Since this Specialization is a collective effort from all UC campuses, who teaches it?
さらに質問がある場合は、受講者ヘルプセンターにアクセスしてください。