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55464-01 - Lecture: Machine Learning in Physics (2 CP)
| Semester | fall semester 2026 |
| Course frequency | Irregular |
| Lecturers | Kai Hencken (k.hencken@unibas.ch, Assessor) |
| Content | 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. |
| Learning objectives | 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 |
| Bibliography | 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 |
| Admission requirements | 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. |
| Language of instruction | German |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Monday | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
Dates
| Date | Time | Room |
|---|---|---|
| Monday 14.09.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 21.09.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 28.09.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 05.10.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 12.10.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 19.10.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 26.10.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 02.11.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 09.11.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 16.11.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 23.11.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 30.11.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 07.12.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Monday 14.12.2026 | 16.00-18.00 | Physik, Alter Hörsaal 2, 1.22 |
| Modules |
Module Specialisation: Physics (Master's Studies: Nanosciences) Module: Specialisation (Master's Studies: Physics (Start of studies before 01.08.2026)) Module: Specialized Courses (Master's Studies: Physics) |
| Assessment format | continuous assessment |
| Assessment details | 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. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Physik |