Numerical Methods for Chemical Engineers in MATLAB

Chemical engineering demands precise computational modeling, but buggy code and unvalidated data can lead to simulation errors. Mastering numerical methods and robust scripting in MATLAB is essential for designing reliable chemical processes. In this course, you will transition from fundamental mathematical concepts to writing clean, error-resistant code. What you'll learn: * Understand foundational numerical methods for solving algebraic and differential equations. * Implement robust data validation using assertions to verify scalars, vectors, and matrices. * Structure complex simulation data cleanly using modern MATLAB data structures. * Apply numerical integration and root-finding algorithms to chemical process models. * Debug and optimize your engineering code to prevent runtime failures. We begin with core terminology and numerical approximation basics before moving into structured data management and validation. You will then progress through practical written scenarios applying these concepts to mass balances and reactor design. This course is designed for beginners in engineering computation with no prior programming experience. Start building robust, error-free chemical engineering simulations today.