“Information theory” is a fascinating and in-depth study that opens up the world of information transfer, storage and processing to the reader. This work, created by a team of authors, is not just a textbook, but a real encyclopedia of knowledge that will be of interest to both students and professionals in the field of information technology, telecommunications and related disciplines. The book immerses the reader in the basics of information theory, starting with concepts such as entropy, coding, and data transfer. The authors carefully explain how information is measured and how it can be effectively transmitted over communication channels. They look at various models and algorithms that optimize data transfer processes, making them more reliable and faster. This makes the book an indispensable resource for those who want to understand how modern communication systems function and what principles underlie them. "Information Theory" will be especially useful for students and teachers of technical specialties, as well as specialists working in the field of IT, system analysis and software development. If you are interested in topics such as artificial intelligence, machine learning or big data, this book will become for you a real guide to the world of information and its processing. It will also be of interest to those who want to deepen their knowledge in the field of cryptography and data protection, since many of the concepts discussed in the book are directly related to these important aspects. The topics raised in Information Theory cover a wide range of topics, ranging from basic coding to complex data compression algorithms. The authors pay attention to both theoretical and practical aspects, which allows the reader not only to understand the basic principles, but also to see how they are applied in real systems. The book highlights the importance of information in today's world, where data is becoming one of the most valuable resources. With the rapid development of technology and the increase in the volume of information, understanding the principles of its processing and transmission is becoming critical. The style of the authors is distinguished by clarity and accessibility, which allows even those who do not have deep knowledge in mathematics or computer science to easily assimilate the material. The book is replete with examples and illustrations that help to better understand complex concepts. This makes reading not only useful, but also fascinating, as each section leads to new discoveries and understanding. If you are looking for books similar in genre, pay attention to the "Code" by Charles Petzold or "Information Theory and Statistical Mechanics" by L. Boltzmann . These works also address important aspects of information transfer and can complement your knowledge gained from Information Theory. In conclusion, Information Theory is a book that opens the door to the world of knowledge necessary for understanding the modern information society. It will become a reliable companion for all who seek to understand the complex processes of data transmission and processing. Do not miss the opportunity to immerse yourself in this fascinating topic and expand your horizons in the field of information!