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| Semester | Frühjahrsemester 2024 |
| 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 installed. I also recommend that you install PyCharm IDE to facilitate your programming process. You can download the professional edition for free by registering as a student (i.e. use your unibas email address for registeration on jetbrains). See the download link below: https://www.jetbrains.com/pycharm/download/?fromIDE=#section=mac |
| 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 completed the "Introduction to Python for Humanities" course 64429-01. If you have not attended the mentioned course above 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 | Students must register in ADAM. The number of participants is limited. In case of over-subscription, students of Digital Humanities will be given priority. 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 | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Donnerstag | 10.15-12.00 | Kollegienhaus, Hörsaal 117 |
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 29.02.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 07.03.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 14.03.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 21.03.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 28.03.2024 | 10.15-12.00 Uhr | Ostern |
| Donnerstag 04.04.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 11.04.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 18.04.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 25.04.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 02.05.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 09.05.2024 | 10.15-12.00 Uhr | Auffahrt |
| Donnerstag 16.05.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 23.05.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 30.05.2024 | 10.15-12.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Module |
General Electives in Business and Economics: Zusätzliches Lehrangebot (Masterstudium: Wirtschaftswissenschaften) General Electives in Business and Technology: Zusätzliches Lehrangebot (Masterstudium: Business and Technology) Modul: Electives in Data Science (Masterstudium: Data Science) 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 |