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78303-01 - Practical course: Introduction to Machine Learning in Python for HSS Research (3 CP)

Semester spring semester 2026
Course frequency Irregular
Lecturers

 

Admission requirements The number of participants is limited. In case of over-subscription, students of Digital Humanities will be given priority.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Thursday 12.15-14.00 Kollegienhaus, Hörsaal 119

Dates

Date Time Room
Thursday 26.02.2026 12.15-14.00 Fasnachtsferien
Thursday 05.03.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 12.03.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 19.03.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 26.03.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 02.04.2026 12.15-14.00 Ostern
Thursday 09.04.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 16.04.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 23.04.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 30.04.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 07.05.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 14.05.2026 12.15-14.00 Auffahrt
Thursday 21.05.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Thursday 28.05.2026 12.15-14.00 Kollegienhaus, Hörsaal 119
Modules Doktorat Digital Humanities: Empfehlungen (PhD subject: Digital Humanities)
Modul: Humanities and Social Science Coding (Master's degree subject: Digital Humanities)
Module: Research and Extension (Master's degree program: Language and Communication)
Module: Societal Approaches (Master's Studies: European Global Studies)
Assessment format continuous assessment
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 Digital Humanities Lab

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