Computational Social Science Methods

Overzicht

Explore the cutting-edge intersection of technology and social sciences with the "Computational Social Science Methods" course, offered by the University of California, Davis, on Coursera. This comprehensive course delves into the vast opportunities and significant impact of computational social science (CSS) in our daily lives.

From the algorithms guiding the services of the globe's leading companies to the subtle manipulations of political and social movements, CSS is at the heart of understanding and shaping human behavior through computational means.

The curriculum is designed to address three critical questions:

the rationale behind the rise of CSS, the broad spectrum of topics it encompasses, and real-world applications that illustrate its potential. Highlighting the expertise of esteemed professors like Joshua Blumenstock, who reveals the insights gained from the digital trails of social interactions for international development, to Lindsey Shelton's introduction to machine learning's fundamental concepts.

Additionally, James Fowler's insights into the dynamics of social networks, and Paul Smaldino's exploration of computer simulations in understanding social emergence, provide learners with a comprehensive understanding of CSS's pivotal role.

Suitable for both beginners and experienced professionals interested in artificial intelligence, machine learning, computer science, data science, and social sciences, this course bridges the gap between advanced technology and societal studies. Unlock the potential to influence the world through computational social science by enrolling today.

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Computer Science Courses, Data Science Courses, Social Sciences Courses.

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Gegeven door

Martin Hilbert

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