Syllabus
Basic notions of probability theory , random variables, their characteristics and measures of their mutual dependence, selected types of distributions, some probabilistic inequalities, types of convergence of random variables, laws of large numbers, central limit theorem and the law of iterated logarithm.
Annotation
Content of the course is an introduction and the explanation of basic notions of the probability theory. The lectures allow to the participants to insight into noncausual interpretation of the world.
Understanding does not require any special knowledge over the framework of mathematics which is read on the Institute. This course together with the statistical course opens a way to the understanding of the much more involved stochastic and econometric methods. The condition for selecting this course is passing Mathematics I. and II.