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MATLAB® R2026a in Practice
A Project-Based Guide to Programming, Data Analysis, Visualization, AI-Assisted Workflows, and Engineering Computing
This book is 100% completeLast updated on 2026-10-09
Go from your first MATLAB script to professional engineering projects. Master programming, data analysis, visualization, numerical computing, and AI-assisted workflows through practical, project-based learning.
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About
About the Book
MATLAB® R2026a in Practice: From Your First Script to Professional MATLAB Projects
Learn MATLAB by doing—not by memorizing commands.
Whether you are a complete beginner, an engineering student, a researcher, or a working professional, this project-based guide will help you build practical MATLAB skills and apply them to real computational problems.
Instead of presenting MATLAB as an endless collection of functions, this book takes you through a structured learning journey: from writing your first script and understanding arrays to analyzing data, creating publication-quality figures, implementing numerical algorithms, and developing maintainable engineering projects.
What You'll Learn
- MATLAB Fundamentals: Master scripts, functions, arrays, data types, loops, vectorization, debugging, and efficient programming practices.
- Data Analysis and Visualization: Import, clean, transform, analyze, and visualize data using tables, timetables, and scientific graphics.
- Engineering and Scientific Computing: Explore linear algebra, numerical methods, Fourier analysis, optimization, parameter estimation, and Monte Carlo simulation.
- AI-Assisted MATLAB Programming: Learn how to use AI assistance for code development, debugging, documentation, and verification without sacrificing technical accuracy.
- MATLAB and Python Integration: Discover practical workflows for combining MATLAB with Python and exchanging computational data.
- Professional MATLAB Development: Explore interactive apps, parallel computing, GPU acceleration, software testing, reproducible research, and project organization.
Learn Through Practical Projects
The book emphasizes hands-on examples, step-by-step explanations, common programming mistakes, and realistic engineering workflows. Projects demonstrate how to move from raw measurements to meaningful results, from exploratory scripts to reusable functions, and from early prototypes to more reliable software.
Who Is This Book For?
This book is designed for engineering and science students, graduate researchers, technical professionals, self-directed learners, and anyone who wants to use MATLAB confidently for programming, data analysis, visualization, and numerical computing.
You do not need extensive programming experience to begin. The material progresses from essential concepts to increasingly sophisticated computational workflows.
The Goal Is Simple
By the end of your learning journey, you should be able to approach a new technical problem, design a computational solution, implement it in MATLAB, verify its correctness, visualize the results, and organize the work into a reproducible project.
Start with your first script. Build toward professional MATLAB projects.
Author
About the Author
Julian Wu
Julian Wu is a university professor, engineering researcher, and technical author specializing in signal processing, communication systems, numerical algorithms, and MATLAB-based engineering computing.
With extensive experience in scientific research, algorithm development, and university teaching, he is dedicated to making complex engineering concepts accessible through clear explanations, practical examples, and hands-on projects.
His books bridge the gap between theory and real-world implementation, helping students, researchers, and engineering professionals develop practical programming skills, build reliable computational models, and solve challenging technical problems.
Julian Wu believes that the most effective way to master engineering is to learn the fundamentals, write working code, test the results, and continuously improve through practice.
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