Summary of course topics at SeSE
Core courses
- Computational Python
Olav Vahtras, KTH, (given every year), - Introduction to Scientific Computing
Jonas Lindeman, Linköping, (given every year), - Maximizing performance in practical HPC applications
Carl Nettelblad, Uppsala Univ., - Applied Cloud Computing
Andreas Hellander, Uppsala, (on demand),
Advanced courses
- Introduction to High Performance Computing
Erwin Laure, PDC summer school, KTH, (given every year), - Advanced Molecular Dynamics
Berk Hess, KTH, - Introduction to Climate modeling
Gunilla Svensson, Stockholm Univ., (irregular schedule), - Scientific Visualisation
Anders Hast, Uppsala Univ., (given every second year), - 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) - Matrix Computations in Statistics with Applications
Maya Neytcheva, Uppsala Univ., (new course), - Foundations of numerical optimization, (new course)
Eddie Wadbro, Umeå Univ.,
Workshops
- Semantic Web Technologies
Olaf Hartig, Linköping Univ., (on demand), - Deep Neural Networks for Beginners
Inga Koszalka, Stockholm Univ., (new workshop), - Big Data Analytics with Hadoop and Spark
Devdatt Dubhashi, Univ. of Gothenburg, (last time given 2016)