This is an introductory textbook at graduate or advanced undergraduate level. Students with diverse backgrounds, in mathematics, physics and computer science, can use it to become acquainted with the quantum theory of information. Its scope is deliberately chosen to be not too broad, while being self-consistent and usable for a semester-long course for beginners. The subject is presented using a balanced mix of intuitive arguments and rigorous formalism. The emphasis is not on the physical information but rather in the formal and mathematical features of quantum information theory. Only a basic knowledge of algebra is required to understand the contents of this book. In particular, a background in quantum mechanics is not needed, since quantum theory is used as a mere mathematical framework without entering into physical interpretations. The book introduces all necessary concepts from quantum theory and classical information theory, to cover the elements of quantum Shannon theory: quantum states and channels, data compression and entropy, error correcting codes and channel capacities, as well as the basics of entanglement theory and quantum cryptography. Examples are provided to help the reader in understanding the different concepts, together with exercises at the end of each chapter. Sample Chapter(s) PREFACE Chapter 1: PRELUDE Request Inspection Copy Contents: Prelude Information and Entropy: The Classical View A Quantum Primer Mixed Quantum States Information and Entropy: The Quantum View Channel Maps Interlude: Estimation Theory Data Compression Information Transmission Error Correcting Codes Channel Capacities Entanglement Manipulation Cryptography Appendix: Fundamentals of Linear Algebra Solutions to Selected Exercises Readership: Graduate students and researchers from Mathematics and Communication Engineering.