To master such areas of applied mathematics as probability theory, mathematical statistics, information theory and coding, training in problem solving and the development of intuition are no less important than the study of proofs of theorems. a wide variety of tasks on this subject makes it difficult for students to transition from lectures to exam tasks, and from them to practice This volume includes a standard package of information and theoretical material, usually read in the faculties of computer science and electronics, as well as applied mathematics of leading universities. This describes both probabilistic and algebraic aspects of information theory and coding, including both the foundations of the theory and some of its modern aspects. The subject of this book is critically important for modern applications (telecommunications, signal processing, computer science, cryptography). The authors collected a large number of exercises equipped with complete solutions. These solutions are adapted to the needs and skills of students. The necessary theoretical information is given in the course of the presentation; in addition, the text is provided with historical deviations.