Zur Merkliste hinzufügen
Zurück

 

55237-01 - Seminar: Statistics for the Humanities Using R 3 KP

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 wöchentlich
Datum 24.09.2019 – 17.12.2019
Zeit Dienstag, 14.15-16.00 Kollegienhaus, Seminarraum 106
Datum Zeit Raum
Dienstag 24.09.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 01.10.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 08.10.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 15.10.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 22.10.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 29.10.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 05.11.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 12.11.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 19.11.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 26.11.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 03.12.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 10.12.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
Dienstag 17.12.2019 14.15-16.00 Uhr Kollegienhaus, Seminarraum 106
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

Zurück