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| Semester | spring semester 2019 |
| Course frequency | Once only |
| Lecturers | Gerhard Lauer (gerhard.lauer@unibas.ch, Assessor) |
| Content | R is a powerful tool to do statistics and text analysis. Understanding the vocabulary used in texts, the syntactic structure, or to compare large sets of texts, R is a good choice to do the analysis. However, R has a steep learning curve. To learn the first steps, the seminar will introduce anyone without prior knowledge into learning R from the scratch, from installation to the details of text analysis. The seminar will be taught together with Freiburg within the EUCOR framework and will be therefore taught in blocs. |
| Learning objectives | The course is an introduction into the use of R for doing statistics and text analysis. |
| Comments | The exact dates of the block seminar will follow. |
| Admission requirements | No prior knowledge of R is necessary, however, a profound curiosity to learn the scripting language R is welcome. Be aware the learning curve might be steep. |
| Course application | Anmeldung über ADAM oder an gerhard.lauer@unibas.ch |
| Language of instruction | German |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Doctorate Biomedical Ethics: Recommendations (PhD subject: Biomedical Ethics) Doctorate Medical and Health Ethics: Recommendations (PhD subject: Medical and Health Ethics (Start of studies before 01.02.2015)) Doktorat Digital Humanities: Empfehlungen (PhD subject: Digital Humanities) Doktorat Politikwissenschaft: Empfehlungen (PhD subject: Political Science) Modul: Erweiterung Gesellschaftswissenschaften B.A. (Bachelor's degree subject: Political Science) Modul: Erweiterung Gesellschaftswissenschaften M.A. (Master's degree subject: Political Science) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) |
| Assessment format | continuous assessment |
| Assessment details | You can get 3 credit points. Work hard on learning R and write a short markdown summary of your work. |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | no repetition |
| Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
| Offered by | Digital Humanities Lab |