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Computational Social Science

SoSe 2018


VAK: 03-ME-899.99b

Termin: wöchentlich Do 10:00 - 14:00

Raum: MZH 6340

CP: 6



Computational Social Science is an umbrella term for the adoption of computational methods by social scientists. Lazer et al. characterized computational social science as a field that leverages the capacity to collect and analyze data at a scale to examine patterns of individual and group behaviors and to enhance our understanding of individuals and collectives.

In this course, you will learn about the questions and methods of social scientists and how they can benefit from computational methods. You will read and present scientific papers and actively contribute to the ongoing computational social science research at the University of Bremen. The course covers a broad range of topics, including the philosophy of social science, basic statistics, social network analysis, machine learning, text mining, user-centered design, and co-creation.

During this course, you will learn to work together with social scientists, identify and analyze their requirements, apply computational methods to address their problems and evaluate your product using appropriate methods.

The course is open to computer scientists as well as students of the social sciences. No formal background in social science or data science is required.


Prof. Dr. Andreas Breiter

Hendrik Heuer