For this course it is not possible to enrol via Campus Management. Please enrol via the form “Modul-, Lehrveranstaltungs- und Prüfungsanmeldung” when you decided to take the course. You can find the form on the website of the Studienbüro Geschkult. Please submit this document to the Studienbüro within the same time frame you would have to enrol in your courses via Campus Management. The workload of the course equals 150 hours: attendance 30 hours, preparation and wrap-up 60 hours, exam 60 hours. For questions regarding credits you will have to approach your BA- or MA advisor of your study program.” Please register also via email: wissensgeschichte@geschkult.fu-berlin.de For graded participation in this course, the Hausarbeit will need to be completed between the last session of the course and December 31, 2023. No extensions will be granted. Schließen

A proficient understanding of and skill in managing digital data are crucial in the era of Digital Humanities. R, a widely utilized tool, serves this purpose effectively. This block seminar offers students a comprehensive introduction to the functions and capabilities of the statistical software and programming language R. The primary objective is to empower students to independently conduct scientific data analyses. Upon completion, participants shall be able to apply the acquired knowledge to their own research (Hausarbeiten and Bachelor/Master theses). Key topics covered in the course include data import, object creation, object indexing, creating graphics, performing statistical evaluations, and programming in R. For graded participation in this course, the Hausarbeit will need to be completed between the last session of the course and December 31, 2023. No extensions will be granted. Schließen