ELECTIVE COURSE -> not offered every semester
Learning objectives:
Students should achieve the following learning objectives:
Mastery of the mathematical foundations for stochastic simulations
Understanding/mastering the central concepts of stochastics
Description of applications as a stochastic model
Mastery of a statistical programming language
Understanding of random processes
The following skills are taught in the module:
Modeling applications using stochastic concepts
Setting up (implementing) simple simulation models
Visualization of simulation results
Course content:
Contents of the course are:
Mathematical foundations of stochastics
Random variables
Discrete and continuous distributions
Conditional distributions
Modeling of random processes
Simulation of random processes (simulation methods, Monte Carlo simulation)
Applications
