Graduate Education
Graduate Courses, Academic Year 2017-2018
- Modelling for Discrete Optimisation, 5 credits, October 2017, by Pierre Flener
- Reinforcement Learning: A Graduate Course, 6 credits, October 2017, by Kristiaan Pelckmans.
- Numerical optimization (Fall 2017), contact: Maya Neytcheva
- Parallel algorithms for scientific computing (Fall 2017), contact: Sverker Holmgren
- Sequential Monte Carlo methods, 6 credits, August 2017, contact: Fredrik Lindsten