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| Semester | Herbstsemester 2024 |
| Angebotsmuster | unregelmässig |
| 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 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 tips 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! |
| 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. Participation in both lecture and exercise sessions is mandatory. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Donnerstag | 10.15-12.00 | Kollegienhaus, Hörsaal 119 |
| wöchentlich | Donnerstag | 14.15-16.00 | -- Anfrage zentraler Raum für Lehre- |
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 26.09.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 26.09.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 03.10.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 03.10.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 10.10.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 10.10.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 17.10.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 17.10.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 24.10.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 24.10.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 31.10.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 31.10.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 07.11.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 07.11.2024 | 14.15-16.00 Uhr | -- Anfrage zentraler Raum für Lehre-, -- |
| Donnerstag 14.11.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 14.11.2024 | 14.15-16.00 Uhr | -- Anfrage zentraler Raum für Lehre-, -- |
| Donnerstag 21.11.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 21.11.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 28.11.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 28.11.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 05.12.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 05.12.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 12.12.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 12.12.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| Donnerstag 19.12.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 119 |
| Donnerstag 19.12.2024 | 14.15-16.00 Uhr | Alte Universität, Seminarraum -201 |
| 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 ) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The final evaluation will be based on the solutions submitted to the exercises. The students will work on the exercises in groups of three and submit the solutions to the exercises as a group. The student's performance during the exercise sessions will also be considered part of the final evaluation. Students who perform poorly during the exercise sessions must take a final exam consisting of live coding questions. |
| 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 |