This course is part of Computational Social Science.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computational Social Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Examine social science evolution through digital revolution
Create and analyze databases using computational methods
Apply machine learning to social science research
Analyze social networks and human dynamics patterns
Skills you'll gain
This course includes:
5.1 Hours PreRecorded video
5 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores the intersection of computational methods and social science. Students learn about digital revolution's impact on social science, data collection through web scraping, artificial intelligence applications, and social network analysis. The curriculum covers practical applications of machine learning, computer simulations, and analysis of digital footprints in social research, taught by professors from across the UC system. The course emphasizes hands-on experience with computational tools while examining social emergence patterns.
Computational Social Science (CSS)
Module 1 · 3 Hours to complete
Example of Computational Social Science: Data Science
Module 2 · 3 Hours to complete
Examples of CSS: Machine Learning & AI
Module 3 · 2 Hours to complete
Examples of CSS: Social Networks and Computer Simulations
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Computational Social Science
Instructor
Leading Expert in Computational Social Science at UC Davis
Professor Martin Hilbert is a distinguished academic at the University of California, Davis, where he serves as the Chair of the Department of Computational Social Science. His research focuses on the impact of digital information and algorithms within complex social systems. Dr. Hilbert holds dual doctorates in Economics and Social Sciences (2006) and in Communication (2012), and he is affiliated with both the Communication and Computer Science departments at UC Davis. He is widely recognized for his groundbreaking study that quantified the amount of information in the world and for designing the first digital action plan in collaboration with Latin American and Caribbean governments at the United Nations. Additionally, he was one of the first to raise concerns about Cambridge Analytica's influence on elections before the scandal emerged. Prior to his academic career, Dr. Hilbert worked for 15 years as an Economic Affairs Officer at the United Nations, where he developed the Information Society Program for Latin America and the Caribbean, providing technical assistance to over 20 countries. His extensive research has been published in prestigious journals such as Science and World Development, and he is frequently featured in major media outlets including The Wall Street Journal and NPR. Fluent in five languages and having lived on four continents, Dr. Hilbert brings a truly international perspective to his work, having traveled to over 70 countries throughout his career.
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Frequently asked questions
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