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| Semester | Herbstsemester 2022 |
| Angebotsmuster | unregelmässig |
| Dozierende | Sepideh Alassi (sepideh.alassi@unibas.ch, BeurteilerIn) |
| Inhalt | R is a simple but powerful programming language and an optimal choice as a tool for text and data analysis. This course will offer an introduction into programming with R from the scratch; from installation and basics of R data objects, developing and implementing algorithms, control flow structures, writing functions and using package, working with data files, to analyzing real data with statistical tools and visualizing the results. |
| Lernziele | By the end of this course, the students will have a comprehensive knowledge of programming with R. |
| Literatur | - Learning R Programming, by Kun Ren, O’Reilly 2016. - Hands-On Programming with R: Write Your Own Functions and Simulations, by Garrett Grolemund, O’Reilly 2014. - Efficient R Programming, by Colin Gillespie, Robin Lovelace, O'Reilly 2016. - Text Mining with R, by Julia Silge, David Robinson, O’Reilly 2017. |
| Bemerkungen | The course will be taught in English. Before every session, the teaching material will be uploaded to the ADAM workspace of the course. Please make sure to download the files of every session and have them ready when attending the course. |
| Teilnahmebedingungen | No prior programming knowledge is required. The course will be consisted of hands on exercises therefore participants must bring their own laptops. To directly dive into learning R without losing time, please download R and RStudio in advance. Here are a few instructions: 1. Install R (latest version 4.2.1) Use the link below to download R from the CRAN mirror ETH Zürich https://stat.ethz.ch/CRAN/ Depending on the operating system you use, choose the package and continue with the installation. 2. Install RStudio: After installing R, you should install the RStudio that is an IDE for programming with R. Install the free version of the RStudio from the link below: https://www.rstudio.com/products/rstudio/download/ After choosing the free package, you will be taken to the download page. Depending on your operating system, choose the package to download and install the RStudio. The video in the link below shows the installation of both R and RStudio in step by step manner for Windows users. https://www.youtube.com/watch?v=X_Mxya2Fis0&ab_channel=StatistikamPC If you are a Mac OS or a Linux user, the installation is similar and far easier. Just download R and RStudio packages, and continue with the installation as any other package. The number of participants is limited. In case of over-subscription, students of Digital Humanities will be admitted preferentially. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Mittwoch | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 21.09.2022 | 16.15-18.00 Uhr | Rosshofgasse (Schnitz), Seminarraum S 01 |
| Mittwoch 28.09.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 120 |
| Mittwoch 05.10.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 12.10.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 19.10.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 26.10.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 02.11.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 09.11.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 16.11.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 23.11.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 30.11.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 07.12.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Mittwoch 14.12.2022 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Module |
Modul: Forschungspraxis und Vertiefung (Master Studiengang: Sprache und Kommunikation) Modul: Humanities and Social Science Coding (Master Studienfach: Digital Humanities) Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies) Modul: Transfer: Digital History (Master Studiengang: Europäische Geschichte in globaler Perspektive ) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The evaluation of the course will be based on solutions submitted to the weekly exercises. There will be no examination. |
| An-/Abmeldung zur Leistungsüberprüfung | Anmelden: Belegen; Abmelden: nicht erforderlich |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch |
| Anbietende Organisationseinheit | Digital Humanities Lab |