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| Semester | Herbstsemester 2023 |
| Angebotsmuster | einmalig |
| Dozierende | Sepideh Alassi (sepideh.alassi@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 document your custom functions, write scripts, and handle errors. Lastly, you’ll learn to use modules in the Python Standard Library and other third-party libraries. |
| 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. |
| 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 | The format of this course is learning by doing. Students will need to bring their own laptop to the course. |
| Teilnahmebedingungen | The number of available places is limited, and students of digital humanities will be given priority to this course. |
| Anmeldung zur Lehrveranstaltung | No prior programming knowledge is required. This course has a tutor who will assist with questions and assignments, the tutor sessions will be held on Wednesdays 13:00 to 14:00. It is highly recommended that you attend the tutor sessions. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | wöchentlich |
| Datum | 29.09.2023 – 22.12.2023 |
| Zeit |
Freitag, 14.15-16.00 Kollegienhaus, Hörsaal 119 |
| Datum | Zeit | Raum |
|---|---|---|
| Freitag 29.09.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 06.10.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 13.10.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 20.10.2023 | 14.15-16.00 Uhr | Kollegienhaus, FÄLLT AUS |
| Freitag 27.10.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 03.11.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 10.11.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 17.11.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 115 |
| Freitag 24.11.2023 | 14.15-16.00 Uhr | Dies Academicus |
| Freitag 01.12.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 08.12.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 15.12.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Freitag 22.12.2023 | 14.15-16.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Module |
General Electives in Business and Economics: Zusätzliches Lehrangebot (Masterstudium: Wirtschaftswissenschaften) General Electives in Business and Technology: Zusätzliches Lehrangebot (Masterstudium: Business and Technology) 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) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The final evaluation will be based on submitted solutions to the exercises. |
| An-/Abmeldung zur Leistungsüberprüfung | Anmelden: Belegen; Abmelden: nicht erforderlich |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Wiederholtes Belegen | nicht wiederholbar |
| Zuständige Fakultät | Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch |
| Anbietende Organisationseinheit | Digital Humanities Lab |