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55464-01 - Vorlesung: Machine Learning in Physics (2 KP)

Semester Herbstsemester 2026
Angebotsmuster unregelmässig
Dozierende Kai Hencken (k.hencken@unibas.ch, BeurteilerIn)
Inhalt Machine Learning and Artificial Intelligence are currently leading to changes in the way research is done in many fields.
This lecture wants to give an overview of ways this is used in different areas of physics.
An introduction to the basic approaches used in the field of machine learning is given, which is then followed by a discussion of examples from recent publications.
Using this example the general idea is then further discussed.
Examples are from the field of signal processing, statistical analysis, solving physical equations in the form of ODE and PDE, as well as methods for parameter estimation and inverse problems.
Lernziele The lecture will start with a (short) introduction to ML and AI and its different applications.
Afterwards the usage for different physics applications will be discussed using some specific applications as starting point and then generalizing from it.
At the end the participants should have both a basic understanding of the underlying ML/AI concepts and should be able to link to the closest way this can be applied to their own field
Literatur Some literature, especially related to the applications discussed in the lecture will be given during the course.
General overview lectures both on machine learning / AI / deep learning in general and specific to scientific applications will be given as well

 

Teilnahmevoraussetzungen A basic understanding of mathematics and statistics, as well as, of physics is expected. The exercises will require to be able to program in the Python language.
Unterrichtssprache Deutsch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Wochentag Zeit Raum
wöchentlich Montag 16.00-18.00 Physik, Alter Hörsaal 2, 1.22

Einzeltermine

Datum Zeit Raum
Montag 14.09.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 21.09.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 28.09.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 05.10.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 12.10.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 19.10.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 26.10.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 02.11.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 09.11.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 16.11.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 23.11.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 30.11.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 07.12.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Montag 14.12.2026 16.00-18.00 Uhr Physik, Alter Hörsaal 2, 1.22
Module Modul: Specialized Courses (Masterstudium: Physik)
Modul: Vertiefung Physik (Masterstudium: Nanowissenschaften)
Modul: Vertiefungsfach (Masterstudium: Physik (Studienbeginn vor 01.08.2026))
Prüfung Lehrveranst.-begleitend
Hinweise zur Prüfung Exercises are offered in connection to this lecture. The lecture is expected to be done together with them and the grading is based on them being done, as well as, attending the lecture itself.
An-/Abmeldung zur Prüfung Anm.: Belegen Lehrveranstaltung; Abm.: stornieren
Wiederholungsprüfung keine Wiederholungsprüfung
Skala 1-6 0,5
Belegen bei Nichtbestehen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Departement Physik

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