MATLAB for Environmental Data Analysis and Engineering

Environmental data is growing more complex, requiring modern computational tools to analyze climate patterns, water quality, and structural impacts. This text-based course guides you through foundational programming and data analysis tailored specifically for civil and environmental engineering applications. You will transition from manual spreadsheets to programmatic analysis, learning how to handle real-world environmental datasets with confidence. What you will learn: Understand fundamental computing concepts, variables, and programming logic; Import, clean, and visualize complex environmental and spatial datasets; Write structured, readable code using modern practices like type hints and modular functions; Build mathematical models to simulate ecological and civil engineering processes; Apply statistical methods to analyze climate trends and environmental quality metrics. You will start with the absolute basics of programming syntax and data structures before progressing to hands-on analysis of realistic environmental case studies. This course is designed specifically for beginners, students, and professionals in civil, environmental, or earth sciences with no prior programming experience. Start building your computational toolkit and master the data skills needed to solve today's environmental challenges.