After successful completion of the course, students are able to solve problems and tasks of dimensional theory and stochastics
and to create general models with random variables or measurable functions
probability spaces, distributions measure theoretic foundations of probability theory, independence, conditional probability, distribution functions, random variables, LebesgueßStieltjes-integral and expectation, comüarison of Riemann- and Lebesgue -integral
Presentation of exercises
Solution of a fixed proportion of the exercises
Use Group Registration to register.
see references in 107.A01
