Cursos realizados

  • Language course I (German)
  • Elementary Particle Physics (2019)
  • CERN-Latin-American School of High-Energy-Physics (2019)
  • Group Theory and its applications (2018)
  • Machin Learning Summer School (2018)
  • Language course I (Spanish) 2018
  • Exploring the inflation era with CMB Polarization (J.-Ch. Hamilton, 2019)
  • Opening a new window on the Universe from the South Pole (F. Halzen, 2018)
  • Applied Bayesian Data Analysis in Astroparticle Physics (K. Kroeninger, 2018)
  • Gamma-ray Astronomy (G. Maier, April 2019)
  • Application of Pythin in Scientific Computing (, M. Giffels, April 2019)
  • Machine learning – deep learning (G. Kasieczka, April 2019)
  • Docker Container Hands-on (GridKa School 2019)
  • Advanced Go: writing concurrent and distributed programs (GridKA School 2019)
  • Enhance Machine Learning Performance (GridKa School 2019)
  • Understanding Machine Learning Methods (S. Wunsch, 2019)
  • Language course (Spanish Rapido 1)
  • Exploring the inflation era with CMB Polarization (J.-Ch. Hamilton, 2019)
  • ISAPP School 2018 – LHC meets cosmic rays (CERN, 2018)
  • Cosmology: expanding space and expanding confusion (B. M. Schäfer, 2018)
  • Physics of cosmic accelerators (F. Oikonomou, 2018)
  • From farmers almanac to exascale computing, the challenge of predictiong the weather (P. Knippertz, 2018)
  • How to write maintainable software (M. heck, 2018)
  • Classical solutions for elementary particle physics (F. Klinkhamer, 2018)
  • ISAPP Baikal Summer School: Exploring the Universe through multiple messengers
  • Introduction to Multivariate Classification: Traditional Tecniques and Deep Learning (Th. Keck, 2017)
  • Software Design for Scientists (B. Hegner, 2017)
  • Schule für Astroteilchenphysik 2017
  • Statistical Methods for astroparticle physics (R. Piegaia, 2017)
  • Introduction to Graph Theory (Hespe, Lamm, Heuer, 2020)
  • FPGA programming (Sander, 2020)
  • Introduction to Lattice Gauge Theory (T. Korzec, 2020)
  • Neutrinos and neutralinos: properties and interactions of an invisivle world (G. Drexlin, 2018)
  • Opening a new window on the Universe from the South Pole (F. Halzen, 2018)
  • Machine learning – deep learning (April 2019)
  • Language course III (German) Jan. 2018
  • Gamma-ray Astronomy (G. Maier, 2019)
  • Exploring the inflation era with CMB polarization (J.-Ch. Hamilton, 2019)
  • Introduction to General Relativity (V. Emelyanov, 2017)
  • Solid state physics for elementary particle physicists (W. Wulfhekel, 2017)
  • Astroparticle physics: 13 billion years of evolution (G. Drexlin, 2016)
  • Introduction to string theory (T. Weigand, 2016)
  • Particle Physics for astroparticle physicists (R. Wolf, M. Mozer, 2016)
  • Collaborative software design (M. Giffels (2016)
  • Scientific Programming with Mathematica (Th. Hahn, 2016)
  • Behind the scenes perspective: into the abyss of profiling for performance (GridKA 2018)
  • Introduction to Python (GridKA 2018)
  • Neutrinos and neutralinos: properties and interactions of an invisible world (G. Drexlin, 2018)
  • Introduction to Lattice Gauge Theory (T. Korzec, 2020)