Computer Science: An Overview

Computer Science: An Overview provides a broad introduction to core computer science concepts for students and general readers. The text covers fundamental areas including algorithms, data structures, operating systems, programming languages, software engineering, and computer architecture. Each chapter focuses on a distinct computing topic while maintaining connections to larger themes and principles that unite the field. The authors present technical material through clear explanations and relevant examples that demonstrate real-world applications. The book balances theoretical foundations with practical implementations, featuring both classical approaches and emerging technologies in areas like artificial intelligence, cybersecurity, and parallel computing. Code examples use multiple programming languages to illustrate key concepts. This overview text serves as both an academic foundation and a lens into how computer science shapes modern society. Its systematic approach reveals the discipline's evolution from mathematical roots to its current role driving technological innovation.

Readers describe this textbook as a solid introduction to computer science concepts, though some note it can be too superficial for advanced students. Likes: - Clear explanations of technical concepts without requiring prior programming knowledge - Broad coverage of CS topics from hardware to software to theory - Helpful diagrams and illustrations - Updated content in newer editions reflecting current technology Dislikes: - Surface-level treatment of complex topics - Dense writing style that can be hard to follow - Some outdated examples and references in older editions - High textbook price relative to content depth Ratings: Goodreads: 3.7/5 (276 ratings) Amazon: 4.1/5 (168 ratings) Sample review: "Good for getting the big picture of CS, but don't expect deep dives into any particular area. The conceptual explanations helped me understand fundamentals before taking more advanced courses." - Goodreads reviewer Several readers note it works better as a supplementary text rather than a primary textbook due to its overview approach.

Computer Science Illuminated by Nell Dale and John Lewis This textbook covers computer science fundamentals with emphasis on both theory and practical applications across all major areas of computing.

Foundations of Computer Science by Alfred V. Aho The text presents computer science concepts through mathematical foundations and core principles of computation.

Code: The Hidden Language of Computer Hardware and Software by Charles Petzold The book explains computing systems from basic electronic circuits to high-level software through a bottom-up approach.

Computer Science: A Structured Programming Approach by Behrouz Forouzan and Richard Gilberg This introduction combines programming fundamentals with broader computer science concepts using a structured methodology.

Computing: A Concise History by Paul E. Ceruzzi The text traces the evolution of computer science through its key developments, innovations, and technological breakthroughs.

🔹 The book has been a leading introduction to computer science for over 30 years, with its first edition published in 1985, making it one of the longest-running CS textbooks still in active use. 🔹 Author Glenn Brookshear originally developed the content while teaching at Marquette University, crafting it specifically to help non-CS majors understand computational thinking and fundamental concepts. 🔹 The text pioneered the "breadth-first" approach to introducing computer science, covering a wide range of topics rather than diving deep into a single area - a method now widely adopted in CS education. 🔹 Co-author Dennis Brylow joined the project in its later editions, bringing expertise in embedded systems and cybersecurity, helping modernize the content for contemporary computing challenges. 🔹 The book has been translated into multiple languages and is used in universities across more than 40 countries, demonstrating its universal approach to explaining complex computing concepts.