Numerical Methods for Chemical Engineering with MATLAB

Chemical engineering systems are governed by complex mathematical equations that are often impossible to solve analytically. To design reactors, analyze transport phenomena, and optimize chemical processes, you must master numerical computation. This text-based course bridges the gap between chemical engineering theory and practical numerical implementation, teaching you how to translate physical systems into working computer code. You will start with foundational mathematical concepts and basic programming structures, ensuring you understand the core theory before moving to practical application. Through clear explanations and structured code analysis, you will learn to model realistic chemical processes step-by-step. What you'll learn: - Understand the fundamentals of numerical approximation and error analysis in chemical systems - Solve systems of linear and nonlinear algebraic equations representing chemical equilibria - Model transient systems using numerical integration for ordinary differential equations - Apply finite difference methods to solve boundary value problems in transport phenomena - Implement robust parameter estimation and curve-fitting techniques for kinetic data - Write clean, structured, and optimized MATLAB scripts following modern programming practices This course begins with essential mathematical definitions and core MATLAB syntax, then guides you through building numerical solvers for chemical kinetics, thermodynamics, and mass transfer problems. It is designed for undergraduate students, researchers, and practicing engineers who want to build a solid foundation in computational engineering. No prior programming experience is required, though a basic understanding of calculus and general chemistry is helpful. Start mastering numerical methods for chemical engineering today.