University of Heidelberg

Physics Student Days 2026(Summer Term 2026)

This year's student days will start the week before the summer term (23.3. - 27.3.2026) and include blocks of half day lectures mainly of the elective module like

  • Fast parameter estimation and approximations
  • Version control and continuous integration for analysis preservation using Git and Docker (course language english)
  • A practical introduction to the machine learning framework PyTorch (course language english)
  • Introduction to machine learning and data analysis in Physics
  • Data analyses using Mathematica
  • AI-assisted Python coding
  • FPGA programming with HLS

  • The goal is mainly to strengthen the competences using modern tools in computing.

    Audience

    Bachelor and master students in physics.

    Maximum number of participants

    The number of participants depends on the lab space available. In the CIP pools we have 20 seats each and the Glasbox we have 16. There will be a registration process for the different courses which starts on 1.3.2025 at 10 am via HeiCO with the reference number 1300100400 . The courses can be selected via group selection. Please register only if you want to participate.

    Programm

    Detailed programms of the various courses will be available within the next few weeks.

    Lecturer Course Time Location
    Giulia Fazzino (Gruppe 1) A practical introduction to the machine learning framework PyTorch 9-12 CIP Pool INF 226 1.305
    Jörg Marks (Gruppe 2) Introduction - Data Analysis and Machine Learning 9-12 Glasbox INF 226 2.108
    Sebastian Dittmeier (Gruppe 3) FPGA programming with HLS 9-12 CIP Pool INF 227 1.401
    Manuel Schiller (Gruppe 4) Fast parameter estimation and approximations 13:30-16:30 CIP Pool INF 226 1.305
    Tamasi Kar (Gruppe 5) Version control and continuous integration for analysis preservation using Git and Docker 13:30-16:30 Glasbox INF 226 2.108
    Ulrich Schmidt (Gruppe 6) Data analyses using Mathematica 13:30-16:30 CIP Pool INF 227 1.401
    Klaus Reygers (Gruppe 7) AI-assisted Python coding 13:30-16:30 Glasbox INF 226 1.108

    Please note

    For the courses in the Glasbox INF 226 2.108 and INF 226 1.108 a laptop with ssh client is needed.

    Credits

    For the courses 1 credit point will be accounted for.

    Questions and comments

    email to marks at physi.uni-heidelberg.de
    Webmaster:
    IT Department