Astraios PhD Opportunities24
hasCourse

Basics of monte carlo simulations  

Description

LEARNING OUTCOMES After completion the course you will be able: Generate uniform and non-uniform random numbers by using different methods Apply pseudo- and quasirandom numbers for different tasks Perform Monte Carlo integration of multidimensional functions Estimate the statistical error of the mean for different methods Generate the synthetic data to improve on estimation of the average and the error of the mean Improve the convergence of the Monte Carlo integration result using different methods Create your own Game of life by using the Cellular automata principle

Delivery mode

Presential
English

Name

Basics of monte carlo simulations
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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