Advanced topics in computational physics. Foundations of Stochastic Methods (Monte Carlo, Markov chains, Master equation), Monte Carlo in Statistical Physics (Metropolis, Ising Model, Advanced sampling), Molecular dynamics (Ensembles, Thermostats and Barostats, Enhanced sampling), Machine Learning in Physics (supervised/unsupervised learning, clustering, classification), High Performance Computing (Parallel computing, GPU-computing)
- Kursleiter/in: Giovanni Settanni
- Kursleiter/in: Marialore Sulpizi
Semester: ST 2026