SUUUpoRT - Stochastic Methods for Materials Science (WiSe 2023/24)

The objective of this course is to convey an understanding of the role of stochastic modelling and stochastic algorithms for materials science. The range of topics includes

• basics in probability theory (random variables, distributions, characteristics, limit theorems)
• basics in statistics (grpahics, estimation and confidence, hypothesis testing)
• regression analysis (linear models, least squares, statistics, nonlinear regression),
• stochastic models for random materials (Poisson process, Boolean model, random packings, random mosaics)
• stochatic simulation (Monte Carlo and Markov chain Monte Carlo algorithm)