This course offers an introduction to computer simulation methods for physics problems and their implementation on PCs and super computers. The covered topics include classical equations of motion, partial differential equations (wave equation, diffusion equation, Maxwell's equations), Monte Carlo simulations, percolation, phase transitions, and N-Body problems.

This course offers an introduction to computer simulation methods for physics problems and their implementation on PCs and super computers. The covered topics include classical equations of motion, partial differential equations (wave equation, diffusion equation, Maxwell's equations), Monte Carlo simulations, percolation, phase transitions, and N-Body problems.

Computer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Application to Boltzmann machines. Simulation of non-equilibrium systems.Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization.

In this introductory lecture, students gain basic knowledge on building materials like cement, concrete, metals, glass, wood, polymers, and bitumen, their manufacturing and processing, important properties and their application. Fundamental mechanical, thermal and optical properties are discussed and experimental ways for measuring, as well as numerical methods for predicting them, are depicted.