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49855-01 - Tutorial: Research Methods in Social and Political Science 2 CP

Semester fall semester 2023
Course frequency Every fall sem.
Lecturers Daniel Höhmann (daniel.hoehmann@unibas.ch, Assessor)
Content 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.
Comments 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.

 

Course application
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Thursday 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004

Dates

Date Time Room
Thursday 21.09.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 28.09.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 05.10.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 12.10.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 19.10.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 26.10.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 02.11.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 09.11.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 16.11.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 23.11.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 30.11.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 07.12.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 14.12.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Thursday 21.12.2023 08.15-09.45 Bernoullistrasse 14/16, Seminarraum 02.004
Modules Modul: Empirische Forschungsmethoden der Politikwissenschaft und der Gesellschaftswissenschaften (Master's degree subject: Political Science)
Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies)
Module: Fields: Knowledge Production and Transfer (Master's degree program: African Studies)
Module: Preparation Master's Thesis in Social Sciences (Master's Studies: Sustainable Development)
Assessment format continuous assessment
Assessment details 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.
Assessment registration/deregistration Reg.: course registration; dereg.: not required
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch
Offered by Fachbereich Politikwissenschaft

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