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| Semester | Herbstsemester 2024 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Philippe Claude Cattin (philippe.cattin@unibas.ch, BeurteilerIn)
Carlo Seppi (carlo.seppi@unibas.ch) |
| Inhalt | The goal of the lecture is to prepare students to work with Python and various other tools. We will provide an overview of different useful tools, including Visual Studio, GitHub, and working with the console. Additionally, we will offer a crash course on important features and libraries of Python, such as classes, modules, numpy, pandas, and scikit-learn. We will also explore faster computation using PyTorch on the GPU and briefly discuss AI-assisted programming |
| Lernziele | 1. Understand Python fundamentals and gain proficiency in the language. 2. Learn essential tools for Python development, e.g., Visual Studio, GitHub, and consoles. 3. Explore important Python features and libraries, e.g., classes, modules, numpy, pandas, and scikit-learn. 4. Utilize PyTorch on the GPU for faster computations. 5. Discuss AI-assisted programming and its applications. 6. Apply Python and relevant tools in real-world scenarios. 7. Foster a foundation for further learning in Python and related technologies |
| Weblink | https://biomedicalengineering.ch/ |
| Teilnahmebedingungen | • Some programming experience is recommended • A laptop is required for this course |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Montag | 09.15-11.00 | Hegenheimermattweg 167B, Lecture Hall 02. 097 |
| Module |
Modul: Engineering Basics (Masterstudium: Biomedical Engineering) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | continous assessment 200 of 240 points in weekly exercises quiz |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Medizinische Fakultät |
| Anbietende Organisationseinheit | Departement Biomedical Engineering (DBE) |