MATLAB for Chemical Engineering: Kinetics and Parameter Fitting

Are you looking to bridge the gap between chemical engineering theory and computational reality? Modeling complex reaction networks and determining precise rate constants requires robust numerical techniques. This text-based course guides you step-by-step through solving chemical engineering problems using MATLAB, focusing on practical parameter estimation and kinetic modeling. You will transition from manual calculations to writing clean, automated MATLAB scripts that model reaction systems and fit experimental data with precision. By reading through clear explanations and analyzing structured code examples, you will build the skills needed to solve real-world chemical kinetics problems. What you'll learn: - Understand the foundational mathematics of reaction kinetics and ordinary differential equations (ODEs). - Set up and solve multi-step chemical reaction network models in MATLAB. - Apply numerical optimization and least-squares regression to fit rate constants to experimental data. - Analyze residuals and parameter sensitivity to validate the reliability of your models. - Implement modern MATLAB scripting practices, including vectorization and robust error handling. The course begins with essential terminology, foundational kinetics, and numerical concepts before moving into hands-on script development and optimization workflows. You will progress from simple single-reaction models to complex multi-rate networks. This course is designed for chemistry and chemical engineering students, researchers, and practicing engineers who want to master numerical modeling in MATLAB. No advanced programming experience is required; a basic understanding of chemistry and calculus is helpful. Start learning today and master the computational tools of modern chemical engineering.