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49855-01 - Tutorat: Research Methods in Social and Political Science 2 KP

Semester Herbstsemester 2023
Angebotsmuster Jedes Herbstsemester
Dozierende Daniel Höhmann (daniel.hoehmann@unibas.ch, BeurteilerIn)
Inhalt The tutorial will primarily serve to deepen the understanding of the principles and methods introduced during the course "Research Methods in Social and Political Science". In particular, the tutorials will give you a thorough introduction to R and illustrate how the different concepts and models introduced during the lecture can be implemented in R.
Participation in the tutorials is not mandatory, but strongly recommended. Particularly, if this is your first statistics class or if you have no prior experience with R, please use this opportunity to ask questions and to practice what you have learned during the lecture. The lab sessions are very important for your personal progress and for your ability to complete the problem sets (and to work with R, as the first three weeks in the lab sessions are used to bring students up to speed with that software).

Students studying political science are required to go to the lab sessions, which earns them an extra 2 credit points.
Bemerkungen The tutorial starts in the SECOND week of the semester: The first session takes place on 28th September 2023.

Participation in the tutorials is not mandatory (except for political science students), but strongly recommended. Particularly, if this is your first statistics class or if you have no prior experience with R, please use this opportunity to ask questions and to practice what you have learned during the lecture. The lab sessions are very important for your personal progress and for your ability to complete the problem sets (and to work with R, as the first three weeks in the lab sessions are used to bring students up to speed with that software). Students studying political science are required to go to the lab sessions, which earns them an extra 2 credit points.

Priority will be given to students of Political Science. If there are more students than places in this first session, we will distribute the places according the date of registration to the course in Mona.

 

Anmeldung zur Lehrveranstaltung
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Wochentag Zeit Raum
wöchentlich Donnerstag 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004

Einzeltermine

Datum Zeit Raum
Donnerstag 21.09.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 28.09.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 05.10.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 12.10.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 19.10.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 26.10.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 02.11.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 09.11.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 16.11.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 23.11.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 30.11.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 07.12.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 14.12.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Donnerstag 21.12.2023 08.15-09.45 Uhr Bernoullistrasse 14/16, Seminarraum 02.004
Module Modul: Empirische Forschungsmethoden der Politikwissenschaft und der Gesellschaftswissenschaften (Master Studienfach: Politikwissenschaft)
Modul: Fields: Knowledge Production and Transfer (Master Studiengang: African Studies)
Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies)
Modul: Vorbereitung Masterarbeit Gesellschaftswissenschaften (Masterstudium: Sustainable Development)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung To pass the tutorial, students have to complete two problem sets. The problem sets include basic analytical and statistical problems. For the most part, the problem sets involve hands-on data analysis using R.
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 Fachbereich Politikwissenschaft

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