The book "Information Theory", written by a team of authors, is an important work in the field of science and technology, which immerses the reader in the world of information, its transmission and processing. This work not only illuminates the basic concepts of information theory, but also demonstrates how these ideas are applied in a variety of fields, from computer science to biology and economics. At the heart of the book is the concept of information as a measurable quantity, which opens new horizons for understanding the processes taking place in our world. The authors consider key aspects such as entropy, coding, data transmission and noise, which makes the material available to both professionals and those who are just beginning to get acquainted with this topic. Readers will be able to learn how information affects decision-making, how it can be effectively transmitted and stored, and how to minimize data loss. The book will be of interest to a wide range of readers: from undergraduate and graduate students studying computer science and mathematics, to professionals in the field of information technology, communication and related disciplines. It can also attract the attention of researchers and practitioners working in the field of big data and artificial intelligence, because understanding the basics of information theory is critical for successful work with modern technologies. The topics raised in the book cover not only technical aspects, but also philosophical questions regarding the nature of information and its role in our society. The authors raise important questions about how information shapes our perception of reality and how it can be used to manipulate public opinion. These reflections make the book not only a textbook, but also a source for in-depth analysis of the modern world, in which information plays a central role. The style of the authors is clear and logical, which allows the reader to easily assimilate complex concepts. They use a lot of real-life examples, which makes the material more accessible and understandable. This is especially important for those who do not have a deep knowledge of mathematics or information theory, but want to understand its basics. The book also includes many illustrations and graphs that help to visualize the ideas presented. "Information Theory" can be compared with other well-known works in the field of science, such as Charles Petzold's "Code" or "Computer Science: