Home » List of active courses given by SeSE

Summary of course topics at SeSE

Core courses


  • Computational Python
              Olav Vahtras, KTH, (given every year), This course is sponsored by eScience collaboration initiative. 
  • Introduction to Scientific Computing
              Jonas Lindeman, Linköping, (given every year), This course is sponsored by eScience collaboration initiative.
  • Maximizing performance in practical HPC applications
              Carl Nettelblad, Uppsala Univ.,  This course is sponsored by eScience collaboration initiative.
  • Applied Cloud Computing
              Andreas Hellander, Uppsala, (on demand), This course is sponsored by eScience collaboration initiative.

Advanced courses


  • Introduction to High Performance Computing
              Erwin Laure, PDC summer school, KTH, (given every year), Sponsored by SeRC
  • Advanced Molecular Dynamics
              Berk Hess, KTH, Sponsored by SeRC
  • Introduction to Climate modeling
              Gunilla Svensson, Stockholm Univ., (irregular schedule), Sponsored by SeRC
  • Scientific Visualisation
              Anders Hast, Uppsala Univ., (given every second year), This course is sponsored by eScience collaboration initiative. 
  • Winter School in Multiscale Modeling
              Zilvinas Rinkevicius, KTH, (last time given 2014)
  • Combining Partial Differential Equations, Machine Learning and Measurements for Increased Prediction Capability
              Jan Nordström, Linköping Univ., (updated content) This course is sponsored by eScience collaboration initiative.
  • Matrix Computations in Statistics with Applications
              Maya Neytcheva, Uppsala Univ., (new course), This course is sponsored by eScience collaboration initiative.
  • Foundations of numerical optimization, (new course)
              Eddie Wadbro, Umeå Univ., This course is sponsored by eScience collaboration initiative.

Workshops


  • Semantic Web Technologies
              Olaf Hartig, Linköping Univ., (on demand), Sponsored by SeRC
  • Deep Neural Networks for Beginners
              Inga Koszalka, Stockholm Univ., (new workshop), Sponsored by SeRC
  • Big Data Analytics with Hadoop and Spark
              Devdatt Dubhashi, Univ. of Gothenburg, (last time given 2016)