Numerical Methods for Chemical Engineering in MATLAB

Chemical engineering processes often rely on complex, non-linear equations that are impossible to solve by hand. To design reactors, calculate mass balances, and model transport phenomena, you need reliable numerical techniques. This text-only course guides you from basic mathematical definitions to writing clean, efficient MATLAB scripts that solve real-world engineering equations. You will start with core concepts and build up to multi-variable solvers. What you will learn: Learn the core principles of numerical approximation and error analysis in engineering; Implement Newton's method to solve systems of non-linear equations step-by-step; Write clean, vectorized MATLAB code to model chemical reaction kinetics; Analyze solver convergence and debug common numerical instability issues; Apply iterative algorithms to solve multi-variable chemical engineering systems. You will progress from foundational terminology to structuring complete numerical solvers. Through step-by-step written explanations and code walkthroughs, you will learn to translate physical engineering principles into working algorithms. This course is designed for beginners and engineering students new to numerical computing, with no prior programming experience required. Start mastering numerical methods and elevate your engineering analysis today.