8 MATLAB Books That Shape Programming Mastery

Drawing from over thirty years teaching engineering computation at Boston University, Dorothy C. Attaway Ph.D. authored this book to demystify programming for engineers new to MATLAB. You’ll find a clear progression from basic programming concepts like variables and loops to more advanced topics such as object-oriented programming, all integrated with MATLAB’s built-in functions. The book’s practical approach includes engineering applications and exercises that help you apply concepts directly to problem solving, especially focusing on input/output operations critical to engineering tasks. This book suits anyone starting programming in MATLAB or seeking to strengthen their applied problem-solving skills within an engineering context.

Drawing from decades of engineering education, Daniel T. Valentine and Brian H. Hahn crafted this book to bridge the gap between MATLAB basics and practical engineering applications. You’ll learn not just how to navigate MATLAB’s interface but also how to develop algorithms and solve real engineering problems using updated features through version 2018b. The inclusion of a dedicated chapter on toolboxes and diverse examples from familiar scientific fields makes it especially useful for anyone taking their first MATLAB course or tackling engineering problem-solving. This book suits you if you want a clear, example-driven introduction that balances theory with hands-on practice without overwhelming details.

This tailored book explores MATLAB programming with a focus on your unique background and learning objectives, offering a personalized pathway through its powerful features. It covers fundamental concepts like syntax and functions, advances through problem-solving techniques, and delves into specialized areas such as data visualization, algorithm design, and code optimization. By synthesizing extensive MATLAB knowledge into a format that matches your experience and interests, this book facilitates deeper understanding and skill development. It embraces your specific goals to guide you effectively from foundational programming to mastering complex MATLAB applications, making the learning process both efficient and engaging.

When Holly Moore first realized how intimidating MATLAB could be for engineering students, she crafted this book to meet learners right at their level of math and programming skills. You’ll start with basic algebra and gradually tackle examples drawn from chemistry, physics, and early engineering courses, which makes abstract concepts tangible. The text’s consistent problem-solving approach helps you apply MATLAB to a wide range of engineering challenges, with later chapters introducing calculus and differential equations for advanced learners. If you’re an engineering student or instructor seeking a clear, structured introduction to MATLAB’s practical use, this book offers a straightforward path without overwhelming jargon.

Stormy Attaway is an educator who leverages her extensive background in engineering and programming education to make MATLAB approachable for learners. In this book, you gain a hands-on understanding of programming fundamentals and problem-solving techniques using MATLAB, with clear explanations that connect theory to practice. Attaway's methodical teaching style guides you through key concepts such as scripts, functions, and data visualization, making it easier to build practical skills. This book suits students, engineers, and anyone looking to strengthen their programming foundation with MATLAB’s versatile environment.

What started as an effort to bridge theory and practice in image processing became a foundational text under Rafael C. Gonzalez and his co-authors. This book walks you through the essentials of digital image processing, particularly emphasizing how to implement and extend MATLAB’s Image Processing Toolbox. You’ll gain hands-on insights into over 120 MATLAB functions, learning not just how to apply them, but how to create your own code solutions for complex imaging challenges. If you’re working in scientific computing or academia, this book offers you a solid mix of conceptual frameworks and practical coding that can sharpen your technical skills and deepen your understanding of image algorithms.

This tailored MATLAB book offers a focused journey to fast-track your skills through step-by-step, actionable learning tailored to your background and goals. It explores core MATLAB programming concepts, practical coding techniques, and application-driven examples that resonate with your specific interests. By matching content to your experience level, it reveals how to navigate MATLAB’s environment effectively and build confidence in solving real-world problems. This personalized guide covers essential functions, algorithm development, and visualization methods, providing a clear path to mastering MATLAB tools and enhancing computational problem-solving. The learning experience is designed to keep you engaged and progressing toward practical proficiency in just 30 days.

While working as a biomedical engineer, Arsath Natheem noticed the growing need for clear, practical guidance in digital image processing using MATLAB. This book walks you through essential techniques such as image segmentation, histogram equalization, and spatial filtering, each paired with source code that makes complex concepts accessible. You’ll learn how these methods apply across fields like medical imaging and remote sensing, with chapters dedicated to both foundational operations and advanced frequency analysis. If you're looking to develop hands-on skills in digital image processing grounded in real MATLAB applications, this book offers targeted instruction without unnecessary jargon.

Steve Chapra's decades of engineering and academic experience led to this focused guide on applying numerical methods using MATLAB for practical problem-solving. You learn to tackle engineering and science challenges by understanding both the capabilities and limitations of various numerical techniques, with motivation rooted in real-world problems rather than pure theory. The book offers detailed examples and chapters covering algorithms like root-finding, integration, and differential equations, empowering you to implement solutions effectively. If you're an engineering or science student or professional seeking hands-on numerical skills combined with MATLAB programming, this book will serve you well, though it assumes some prior coding familiarity.

Mike X Cohen's background as an assistant professor at the Donders Institute shapes this book into a focused guide for neuroscience and psychology researchers aiming to master MATLAB. You get a progression from beginner to advanced programming, emphasizing practical applications relevant to brain science. The book doesn't shy away from showing you common coding mistakes alongside better solutions, helping you develop critical programming judgment. Exercises at the end of chapters reinforce your skills while interviews with active neuroscientists provide real-world context. If your work involves neural data or cognitive experiments, this book equips you with the programming know-how to analyze your data effectively.