Zurück zur Auswahl
Semester | Herbstsemester 2025 |
Angebotsmuster | unregelmässig |
Dozierende | Rosa Lavelle-Hill (rosa.lavelle-hill@unibas.ch, BeurteilerIn) |
Inhalt | In this course, you'll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and implement your custom functions, test their accuracy, and handle errors. Lastly, you’ll learn to use modules in the Python Standard Library and other third-party libraries, as well as object-oriented programming with Python. In the exercise sessions, you will receive exercises about the topic of the day's lecture. You will be working on the exercises during the session and will receive guidance and feedback. |
Lernziele | By the end of this course, students will know both fundamental programming concepts and the Python programming language. Students will be able to develop their own Python code to automatically solve complex real world problems. This course is dedicated to core Python skills that will give you a solid base and allow you to pursue any further direction: using Python in academic and research projects, in data science, or a career as a developer. This course will prepare you for the successive "Advanced Python for the Humanities" course offered in the spring semesters. |
Literatur | - Learning Python, 5th Edition, Mark Lutz, published by O'Reilly Media, Inc. 2013 - Introducing Python, 2nd Edition, Bill Lubanovic, published by O'Reilly Media, Inc. 2019. - Learn Python Programming - Third Edition, Fabrizio Romano, Heinrich Kruger, published by Packt Publishing, 2021. |
Bemerkungen | This course has a learning-by-doing format. Students must bring their own laptops to the course. Only three absences are permitted; medical attestation is required for further absences! |
Teilnahmevoraussetzungen | The course is capped at 33 students. If enrollment exceeds this limit, priority will be given to Digital Humanities students. |
Anmeldung zur Lehrveranstaltung | No prior programming knowledge is required. Participation in both lecture and exercise sessions is mandatory. |
Unterrichtssprache | Englisch |
Einsatz digitaler Medien | kein spezifischer Einsatz |
Intervall | Wochentag | Zeit | Raum |
---|---|---|---|
wöchentlich | Dienstag | 10.15-14.00 | Kollegienhaus, Seminarraum 212 |
Datum | Zeit | Raum |
---|---|---|
Dienstag 23.09.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 30.09.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 07.10.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 14.10.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 21.10.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 28.10.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 04.11.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 11.11.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 18.11.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 25.11.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 02.12.2025 | 10.15-14.00 Uhr | Kollegienhaus, Hörsaal 115 |
Dienstag 09.12.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Dienstag 16.12.2025 | 10.15-14.00 Uhr | Kollegienhaus, Seminarraum 212 |
Module |
General Electives in Business and Economics: Zusätzliches Lehrangebot (Masterstudium: Wirtschaftswissenschaften) General Electives in Business and Technology: Zusätzliches Lehrangebot (Masterstudium: Business and Technology) Modul: Erweiterung Methodenkenntnisse MA (Master Studienfach: Religionswissenschaft) Modul: Forschungspraxis und Vertiefung (Master Studiengang: Sprache und Kommunikation) Modul: Humanities and Social Science Coding (Master Studienfach: Digital Humanities) Modul: Kulturtechnische Dimensionen (Master Studiengang: Kulturtechniken) Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies) Modul: Transfer: Digital History (Master Studiengang: Europäische Geschichte in globaler Perspektive ) |
Prüfung | Lehrveranst.-begleitend |
Hinweise zur Prüfung | The final evaluation will be based on the solutions submitted for the weekly exercises. To pass the course, you may fail no more than three exercises and have no more than three absences. |
An-/Abmeldung zur Prüfung | Anmelden: Belegen; Abmelden: nicht erforderlich |
Wiederholungsprüfung | keine Wiederholungsprüfung |
Skala | Pass / Fail |
Belegen bei Nichtbestehen | beliebig wiederholbar |
Zuständige Fakultät | Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch |
Anbietende Organisationseinheit | Digital Humanities Lab |