Monte Carlo Methoden – Übersicht
The two hour exam was on Monday July 22, 2019. The inspection was on August 6, 2019.
You may pick up the certificates at the Ausgabe von Zeugnissen, Scheinen.
- Basic stochastics
- Methods for generating random numbers.
- Monte Carlo integration and variance reduction techniques.
- Markov Chain Monte Carlo with a basic introduction to Markov chains and applications in statistical physics.
- Monte Carlo Methods for Bayesian data analysis.
- Other topics like Brownian Motion and the QM pathintegral, numerical solutions to stochastic differential equation, stochastic optimization, direct stochastic simulation, quasi Monte Carlo methods etc. are possible, depending on how far we get.
Statistical Mechanics and Quantum Mechanics. To solve the programming excercises a solid proficiency in a programming lanuage is assumed.
M.E.J. Newman, G.T. Barkem: Monte Carlo Methods in Statistical Physics, Oxford University Press (1999)
Jun S. Liu: Monte Carlo Strategies in Scientific Computing, Springer (2001)
The colourful past and dark side of galaxies unveiled through population-dynamics of their stars