Becoming a Computational Thinker 1st Edition

Capture your curiosity with Becoming a Computational Thinker, 1st Edition by Paul S. Wang — a clear, modern guide that turns abstract concepts into practical problem-solving tools. Ideal for students, educators, and professionals aiming to master computational thinking, this book bridges theory and practice with accessible explanations and real-world examples.

Explore a structured pathway through core ideas such as algorithmic design, decomposition, abstraction, pattern recognition, and evaluation. Written in a concise, engaging style, the text emphasizes step-by-step reasoning and transferable skills that apply to programming, data analysis, and everyday decision-making. Each chapter builds intuition with progressively challenging exercises, illustrative diagrams, and case scenarios drawn from science, business, and technology.

Why this edition stands out: it focuses on fostering lasting analytical habits rather than just syntax, making it an excellent resource for classroom adoption, self-study, and professional development. Readers will gain the confidence to break down complex problems, devise efficient solutions, and communicate computational approaches clearly — skills valued across industries in North America, Europe, Asia, and beyond.

Whether you’re a first-year student preparing for computer science courses or an educator designing curriculum, Becoming a Computational Thinker equips you with practical strategies to think like a computer scientist. Practical, well-paced, and thoughtfully organized, this edition is a foundational addition to any bookshelf.

Order your copy today to begin transforming the way you approach problems — and join a global community learning to think computationally.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.