Numerical Simulation Laboratory

Simulation is an essential tool in studying complex systems, anticipating, complementing and reinforcing both experimental and
theoretical approaches. The purpose of this computing laboratory is to introduce and apply advanced Monte Carlo sampling and other
techniques to perform simulations of complex systems and to solve complex numerical tasks.

1) advanced techniques for sampling random variables and simulate stochastic processes
2) familiarity with the applications of these techniques to the simulation of complex systems
3) an introduction to some computational intelligence techniques
4) an introduction to parallel computation and parallel programming
Expected learning outcomes
The course aims to provide students with:
· advanced techniques for sampling random variables and simulate stochastic processes
· familiarity with the applications of these techniques to the simulation of complex systems
· an introduction to some computational intelligence techniques, machine learning and deep neural networks
· an introduction to parallel computation and parallel programming