Foundations of the Theory of Random Processes : Tutorial on the course ''Random Processes''' by Nathan Andrey Alexandrovich , Gorbachev Oleg Gennadievich and Guz Sergei Anatolyevich is a valuable resource for students Graduates and Professionals , interested in mathematical statistics, Probability Theory and Applied Mathematics . This manual not only covers key concepts of random processes, but also does so in an accessible and engaging way, making it ideal for studying both at universities and for self-education. Random processes are an area that finds application in a wide variety of fields, from finance and economics to engineering and biology. In the book, the authors seek to explain complex mathematical concepts in a simple and understandable language, which allows the reader to easily absorb material. They use a lot of examples and tasks, which makes the learning process more interactive and fun. This manual will be an excellent help for those who want to deepen their knowledge in this area and learn how to apply the theory of random processes in practice. The book will be especially useful for students of technical and economic specialties, as well as for anyone interested in mathematical modeling and data analysis. If you are looking for a tutorial that will help you understand the basics of the theory of random processes and teach you how to apply this knowledge in real-world tasks, then this publication will become your reliable assistant. It is suitable for both beginners and more experienced readers who want to refresh their knowledge or delve into new aspects of the topic. One of the key topics addressed in the book is the analysis of random processes in various contexts. The authors explain in detail what Markov processes, stationary processes and many other important concepts are. They also look at the application of random processes to real-world situations, such as modeling financial markets, analyzing communication systems, and studying biological processes. This makes the book not only theoretically significant, but also practically useful. The style of the authors is distinguished by the clarity and logic of the presentation . They use many visual illustrations and graphs to help the reader better understand and visualize complex concepts. In addition, the book contains exercises and tasks that contribute to the consolidation of material and the development of analytical thinking .. This makes the manual not just a source of information, but also a tool for active learning. The authors Nathan, Gorbachev and Guz are known for their scientific papers and publications in the field of probability theory and statistics. Their experience and in-depth knowledge in this area make this book a reliable source of information. If you are interested in such works as “Probability Processes” or “Mathematical Statistics”, then this guide will be a great addition to your library. Thus, “Fundamentals of the Theory of Random Processes: A Textbook on Random Processes” is not just a book, but a real find for anyone who wants to immerse themselves in the world of probability and random processes. It combines theoretical foundations and practical applications, making it an indispensable resource for students, faculty, and anyone seeking to expand their knowledge in this fascinating field. Do not miss the opportunity to discover the world of random processes with this unique tutorial!