Zurück
| Semester | Herbstsemester 2019 |
| Angebotsmuster | unregelmässig |
| Dozierende | Moniek Kuijpers (moniek.kuijpers@unibas.ch, BeurteilerIn) |
| Inhalt | In the past decades interest has grown in scientific approaches to aesthetic artefacts, may they be literary texts, visual artworks, films or even performances. This interest stems from a desire to investigate these aesthetic objects in a more rigorous, scientific way. The results of such investigations help us cultivate a deeper understanding of aesthetic phenomena and, perhaps more importantly, what they mean to individuals and societies. With scientific approaches to the study of art – and of literature in particular – come statistical analyses of data gathered using said scientific approaches. This course will give an introduction to scientific approaches to literature (i.e., production, reception and evaluation of literature) and will teach students to use statistics to answer empirical research questions in various areas of scientific studies of literature. The students will receive instructions on how to utilize the open-source software program R to run statistical code. |
| Lernziele | Week 1: Introduction to Scientific Methods for the Humanities Week 2: Introduction to Statistics Week 3: Introduction to R Week 4: Data Collection in Experimental Studies Week 5: Data Collection in Big Data Research Week 6: Data Collection in Corpus Stylistics Week 7: Empirical Research Questions Week 8: Break > Students will collect their own data Week 9: Introduction to Descriptive Statistics Week 10: Graphic Visualization of Descriptive Statistics Week 11: Inferential Statistics Week 12: Communicating Statistical Results Week 13: Course Conclusion: Poster Session |
| Literatur | The reading list for this course will be made available 2 to 3 weeks before class. |
| Bemerkungen | In between seminars you can make an appointment to come in during office hours (Monday between 14:00 and 16:00 or Thursday between 11:00 and 13:00) to discuss your research project or any concerns or questions you might have. |
| Teilnahmebedingungen | Be advised that the course will be in English and that you will be asked to discuss, present and write in English. Also, be advised that your English does not have to be perfect. For this course, you will be required to bring your own laptop with the open source software R and R Studio installed on it. If you do not own a laptop or are experiencing problems downloading the required software, please contact me before the start of the course (24.09). |
| Anmeldung zur Lehrveranstaltung | Belegen |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|
Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul: Creating, Analyzing and Visualizing of Data (Master Studienfach: Digital Humanities) Modul: Forschungspraxis und Vertiefung (Master Studiengang: Sprache und Kommunikation) Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | Studens will be assessed on three different aspects: their participation in class (assessed through mini assignments) (30 %); the conception and completion of a small research project that includes data collection (30 %); and the communication of the results of their research project via a poster presentation (40 %). |
| 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 |