"Introduction to Computer Science" is a work that offers a comprehensive and structured view of the fundamental principles of computing. Aimed at both beginners and readers with some prior knowledge, the book covers a wide range of essential topics, from basic theory to practical applications, with the goal of building a solid foundation for understanding modern computational systems.

The book begins by introducing the concept of an algorithm, exploring how problems can be solved through logical, systematic steps. It then examines programming languages, covering programming paradigms such as structured, object-oriented, and functional programming, as well as the processes of compilation and interpretation, and the crucial role of these languages in creating efficient, optimized software.

Another central theme of the work is computer architecture, explaining the physical components of a computing system, including processing units, memory, and the operation of input and output devices. The book also delves into the study of computational complexity, discussing algorithm efficiency and classifying problems based on their difficulty of resolution, which is essential for optimizing computational resources.

Additionally, the author dedicates a significant section to automata theory and formal languages, exploring the mathematical foundations of computing, including finite automata, grammars, and regular languages. Topics in artificial intelligence and machine learning are also covered, introducing readers to the concepts that enable machines to perform tasks autonomously and “intelligently.”

Finally, "Introduction to Computer Science" addresses the ethics and social impact of technology, encouraging critical reflection on how computing influences contemporary society and the emerging ethical challenges, such as privacy and responsibility in automated systems.

This book is, therefore, an essential reference for those seeking to understand computing in its entirety, preparing the reader not only for the use of technology but also for a profound understanding of its structure, operation, and transformative potential.