Lehrende: Felix Lennert
Veranstaltungsart: Seminar
Orga-Einheit: 06-Soziologie
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Semesterwochenstunden: 2
Unterrichtssprache: Englisch
Offizielle Kursbeschreibung: In recent years, a "computational turn" has taken hold of the social sciences. Digital data and novel methods which originate from the computer sciences offer important opportunities for sociology. The course starts with teaching practical skills to collect digital behavioral traces online (web scraping, API harvesting). As the lion’s share of these material is in textual format, the students will subsequently learn to evaluate large text archives in an automated way through machine learning techniques. The programming of these tools is performed in R, for which basic knowledge (as taught in the methods course of the institute) is required. Students can choose between writing an empirical paper that answers a sociologically relevant research question using at least one of the methods learned or presenting their own analyses of a given data set. The student projects will be presented and discussed in the course.