Introduction to MATLAB for Scientists and Engineers: A Practical Guide to Computational Problem Solving

Introduction to MATLAB for Scientists and Engineers: A Practical Guide to Computational Problem Solving is a comprehensive, hands-on textbook designed to introduce students, researchers, and professionals to the power and flexibility of MATLAB as a computational tool. Authored by Professor Eric Okoth Ogur, a seasoned engineer and educator, this book bridges theoretical knowledge and practical application through clear explanations, real-world examples, and engaging exercises. Written with clarity and pedagogical precision, the book starts with foundational concepts—introducing the MATLAB environment, basic commands, and core programming principles—before progressing into more advanced topics such as data visualization, numerical methods, control flow, symbolic mathematics, and case studies drawn from science and engineering disciplines. Unlike traditional programming manuals that overwhelm with syntax, this book adopts a learner-friendly, example-driven approach. It guides readers step-by-step through problem-solving techniques relevant to modern science and engineering, enabling them to model physical systems, analyze data, develop algorithms, and visualize results effectively. Whether you're calculating the trajectory of a projectile, analyzing electrical circuits, plotting mathematical functions, or simulating a control system, each chapter provides contextual applications that bring theory to life. Key Features: Progressive Learning Path: Chapters are structured to build from basic concepts to complex topics, ensuring that both beginners and intermediate users develop confidence and competence in using MATLAB. Practical Examples and Exercises: Rich, domain-specific examples from physics, mathematics, mechanical and electrical engineering, and data science illustrate how MATLAB can be applied to solve authentic problems. User-Friendly Explanations: MATLAB commands and concepts are broken down with commentary that explains not just how, but why each step is taken—making it easier to understand and retain knowledge. Self-Contained Modules: Each chapter can stand alone as a learning module, complete with summaries, key takeaways, and exercises that reinforce the material covered. Focus on Scientific and Engineering Context: The book emphasizes MATLAB's role in technical fields, showing how it integrates with research, experimentation, analysis, and system design. Includes Advanced Topics: Readers will also explore symbolic computation, custom functions, and advanced plotting, giving them tools to tackle more complex engineering challenges. Case Studies: The final chapters offer cross-disciplinary case studies, encouraging readers to synthesize their skills and think critically across contexts. Ideal for undergraduate students in STEM disciplines, early-stage graduate students, and professionals seeking a refresher or new skillset, this book also doubles as an invaluable resource for educators designing MATLAB-focused courses. Additionally, it supports project-based learning, making it ideal for institutions promoting hands-on, computational education. Whether used in the classroom, laboratory, or self-study, Introduction to MATLAB for Scientists and Engineers offers a practical, inspiring, and empowering journey into the world of computational problem solving. It invites learners not only to use MATLAB—but to think with it.