Introduction: field of probability, random variables, conditional probability, moments, distribution, characteristic functions. Concepts of stochastic convergence and limit theorems. Bernoulli processes. Stationarity and ergodicity. Poisson processes: superposition, decomposition, composite, non-stationary. Renewable processes. Markov processes. Part of the course is conducted through individual research and study work in the field of stochastic processes in telecommunications. The study and research work is based on active study of primary scientific sources, organization and performance of experiments and statistic data processing, numerical simulations, and writing a paper in the narrow scientific area within the topic of the Doctoral dissertation.