A comprehensive exploration of computer science topics, with the in-depth analysis required for a full understanding of the related concepts. The book Computer Science: A Comprehensive Introduction presents the concepts in a synthetic sequence, evolving from the concrete to the abstract, to "build" the foundation of knowledge that will help students discern the relationship between the computer science courses they will take throughout their academic career.

The thorough coverage of the topics addressed by the book, as well as the clear articulation, make it ideal for all students to truly understand what they are taught. In this 13th edition, which includes, among other things, more than 1000 questions and problems to solve, review exercises, as well as topics concerning reflection on the application of computer science in everyday social life, the book continues to rely on the Python programming language and provides code tools for exploration and experimentation.

The new, modern, color structure of the book fully corresponds to the way colors are used in most programming interfaces today to help the programmer understand the code as they read it. The color coding in code snippets and pseudocode is used very effectively, fully clarifying them. Furthermore, the figures and diagrams of this new edition are much more descriptive and explanatory as well.

Features of the book:

• Broad subject matter: Programming languages, networking and the Internet, operating systems, databases, software technology, computer graphics, as well as a fully updated reference to artificial intelligence.
• Problems and questions to reinforce knowledge: Questions and exercises at the end of each section, review problems at the end of each chapter, as well as questions concerning social issues.
• Additional resources: Recommended literature for further reading and expansion of the topics presented in each chapter.

Contents:

• Introduction
• Data storage
• Data handling
• Operating systems
• Networking and the Internet
• Algorithms
• Programming languages
• Software technology
• Data abstraction
• Database systems
• Computer graphics
• Artificial intelligence
• Theory of computation