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)