| Dozent/in |
Dr. Guy Schwegler |
| Veranstaltungsart |
Masterseminar |
| Code |
HS251619 |
| Semester |
Herbstsemester 2025 |
| Durchführender Fachbereich |
Soziologie |
| Studienstufe |
Master |
| Termin/e |
wöchentlich (Mo), ab 15.09.2025, 12:15 - 14:00 Uhr, HS 13 |
| Umfang |
2 Semesterwochenstunden |
| Inhalt |
The seminar offers a systematic introduction to R, the open-source programming language for statistical computing and data visualization. Students will learn the basic structure and functionality of the language, its integration with RStudio, and how its capabilities can be extended through packages. At the same time, this foundational knowledge will be connected to key aspects of statistical thinking and the practical challenges of everyday data analysis – from data preparation and management, to techniques such as regression modeling, to creating graphs and diagrams for reports, and even applying AI to write code. Ultimately, the seminar equips advanced students to apply their knowledge of quantitative social research in R, while also providing a solid basis for expanding their skills in future courses. |
| Voraussetzungen |
No experience with R is required. However, students should be on an advanced BA or MA level with basic knowledge in statistics. |
| Sprache |
Bilingue - Deutsch / Englisch |
| Anmeldung |
***Wichtig*** Um Credits zu erwerben ist die Anmeldung zur Lehrveranstaltung über das UniPortal zwingend erforderlich. Die Anmeldung ist ab zwei Wochen vor bis zwei Wochen nach Beginn des Semesters möglich. An- und Abmeldungen sind nach diesem Zeitraum nicht mehr möglich. Die genauen Anmeldedaten finden Sie hier: http://www.unilu.ch/ksf/semesterdaten |
| Abschlussform / Credits |
Aktive Teilnahme (mit wöchentlichen Aufgaben) / 4 Credits
|
| Hinweise |
Students are required to install the newest versions of R and RStudio and need to bring their computers to class (installation will, however, be discussed in the first session). |
| Kontakt |
guy.schwegler@unilu.ch |
| Material |
R and the GUI RStudio are both open source and freely available. |
| Literatur |
Mund, Fabian and Kenneth Horvath. 2025. R Essentials. Einführung in die moderne sozialwissenschaftliche Datenanalyse. Wiesbaden: Springer VS.
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd ed. Farnham: O’Reilly. |