CERN openlab summer student lecture programme

July 2024

• 31 Jul
  Quantum Computing Applications and Use-cases
• 30 Jul
  Introduction to Quantum Computing, Quantum Machine Learning and Optimization
• 29 Jul
  Alexander Zoechbauer, Kalliopi Tsolaki, "Digital Twins: introduction and use cases"
• 26 Jul
  Ilaria Luise, Sofia Vallecorsa, "Foundation models"
• 24 Jul
  Danilo Piparo, Marta Czurylo, Vincenzo Eduardo Padulano, "ROOT Summer Student Workshop"
• 23 Jul
  Stephan Hageboeck, "GPU programming"
• 22 Jul
  Axel Naumann, "Best practices: the theoretical and practical underpinnings of writing code that is less bad"
• 18 Jul
  David Southwick, "High Performance Computing"
• 17 Jul
  Abhishek Lekshmanan, "Storage"
• 17 Jul
  Luca Atzori, "Data Centre Hardware"
• 16 Jul
  Thomas Owen James, "Machine Learning for Trigger and Data Acquisition"
• 16 Jul
  Adriaan Rijllart, "FPGA Programming Using LabVIEW"
• 15 Jul
  Peter Kicsiny, "Physics-based deep learning"
• 15 Jul
  Matteo Bunino, "Reinforcement learning and its applications at CERN (hands-on)"
• 11 Jul
  Matteo Bunino, "Reinforcement learning and its applications at CERN"
• 10 Jul
  Danilo Piparo, Marta Czurylo, Vincenzo Eduardo Padulano, "ROOT Summer Student Workshop"
• 09 Jul
  Eric Wulff, "Hyperparameter Optimization for Deep Learning Models Using High Performance Computing"
• 09 Jul - 12 Jul
  Glen Cowan, "Foundation of Statistics"
• 05 Jul
  Michael Kagan, "Introduction to Machine Learning and Deep Learning"
• 05 Jul
  Albane Carcenac, Joaquim Santos, Luca Atzori, "How to navigate inside openlab servers"
• 05 Jul
  Paul James Laycock, "From Raw Data to Physics Results 3/3"
• 04 Jul
  Flavio Pisani, "DAQ-filtering data from 50 TB/s to 1GB/s"
• 04 Jul
  Paul James Laycock, "From Raw Data to Physics Results 2/3"
• 03 Jul
  Stefan Lueders, "Computer Security: Past, Present & Future"
• 03 Jul
  Paul James Laycock, "From Raw Data to Physics Results 1/3"
• 02 Jul
  Welcome and introduction to CERN