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66152-01 - Übung: Advanced Python for Humanities 4 KP

Semester Frühjahrsemester 2023
Angebotsmuster unregelmässig
Dozierende Sepideh Alassi (sepideh.alassi@unibas.ch, BeurteilerIn)
Inhalt In this course, students will learn how to use Python for:
- Data Analysis
- Data Visualization
- Image Processing
- Text Analysis
- Natural Language Processing
- Designing GUIs and creating Python applications
- Advance Object Oriented Programming
- Data Serialization and Interaction with APIs through HTTP requests
- Web Scraping
- working with HTML and XML data
Lernziele At the end of this course, students will have a deep knowledge of programming with Python and proficiency in using different Python packages and understanding of how to employ existing algorithms for their projects and developing new ones.
Literatur Supporting material and further reading sources will be announced every session in the lecture notes.
Bemerkungen The course will be in practical form, therefore the presence is obligatory. Only 3 absences are allowed, further absences should be supported with a medical attest otherwise no credit point for the course will be granted.

You should bring your own laptop to the course with Python 3.11 or 3.10 installed. I also recommend that you install PyCharm IDE to facilitate your programming process. You can download the professional edition of it for free by registering as a student (i.e. use your unibas email address for registeration on jetbrains). See download link below:


Teilnahmebedingungen The number of participants is limited. In case of over-subscription, students of Digital Humanities will be given priority.

This course is designed for students with prior Python Knowledge, especially those who have successfully completed the "Introduction to Python for Humanities" course on spring semester 2022.

If you have not attended the mentioned course in spring semester 2022 but have experience programming with Python and know the basics, contact Dr. Sepideh Alassi to confirm that you meet the prerequisites of this course.
Anmeldung zur Lehrveranstaltung There is a tutorial session accompanied with the course held on Wednesdays 13:00-14:00. Participation is not mandatory but highly recommended. I suggest that the participants consider the tutorial session as well in the plannings for the semester if registered for this course.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz


Intervall wöchentlich
Datum 23.02.2023 – 01.06.2023
Zeit Donnerstag, 14.15-16.00 Kollegienhaus, Hörsaal 119
Datum Zeit Raum
Donnerstag 23.02.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 02.03.2023 14.15-16.00 Uhr Fasnachstferien
Donnerstag 09.03.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 16.03.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 23.03.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 30.03.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 06.04.2023 14.15-16.00 Uhr Ostern
Donnerstag 13.04.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 20.04.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 27.04.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 04.05.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 11.05.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 18.05.2023 14.15-16.00 Uhr Auffahrt
Donnerstag 25.05.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 01.06.2023 14.15-16.00 Uhr Kollegienhaus, Hörsaal 119
Module Modul: Erweiterung Gesellschaftswissenschaften B.A. (Bachelor Studienfach Politikwissenschaft)
Modul: Erweiterung Gesellschaftswissenschaften M.A. (Master Studienfach Politikwissenschaft)
Modul: Forschungspraxis und Vertiefung (Master Studiengang Sprache und Kommunikation)
Modul: Humanities and Social Science Coding (Master Studienfach Digital Humanities)
Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies)
Modul: Methoden der Near & Middle Eastern Studies und der Gesellschaftswissenschaften (Master Studienfach Near & Middle Eastern Studies)
Modul: Transfer: Digital History (Master Studiengang Europäische Geschichte in globaler Perspektive )
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung At the end of each session, students will get a set of exercises to solve in a group. The solutions should be submitted within two weeks. The evaluation of the course will be based on the solutions submitted to exercises. To pass the course 65% of the total points is required. There will not be any examination.
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