Environmental Data Analysis and Computing with MATLAB

Environmental engineers and scientists face the challenge of interpreting complex, noisy data to make critical decisions about our ecosystems. To address these challenges, computational modeling and data analysis are essential tools. This course guides you from the fundamental principles of environmental data analysis to writing clean, repeatable MATLAB scripts that solve real-world civil and environmental engineering problems. You will start by mastering foundational terms, statistical distributions, and basic programming concepts before moving on to practical data manipulation and modeling techniques. What you'll learn: Understand core statistics and probability concepts applied to environmental datasets; Import, clean, and visualize spatial and temporal environmental data; Write structured MATLAB scripts and functions using modern coding practices; Solve environmental transport and mass balance equations computationally; Apply regression analysis and hypothesis testing to field measurements. You will begin with core environmental concepts and MATLAB basics, then progress through step-by-step written tutorials to build your own data analysis workflows. This text-based course is designed for beginners, students, and professionals in civil and environmental engineering with no prior programming experience. Start building your environmental computing skills today.