Numerical Methods for Chemical Engineering with MATLAB

Chemical engineering problems often involve complex transport phenomena, chemical kinetics, and thermodynamic systems that cannot be solved with simple pen-and-paper calculations. Mastering numerical computation is essential for designing, analyzing, and optimizing these real-world processes. This course guides you through the foundational mathematical and computational techniques used to solve chemical engineering challenges. You will transition from understanding basic linear equations to modeling dynamic systems and transport phenomena using MATLAB. What you'll learn: - Understand the core mathematical foundations and key terminology of numerical computing in engineering. - Solve systems of linear and nonlinear algebraic equations representing chemical process networks. - Model dynamic processes by solving ordinary differential equations and differential-algebraic systems. - Apply probability and statistical analysis for parameter estimation and data-driven process modeling. - Implement finite difference methods to solve partial differential equations in transport phenomena. - Practice translating physical chemical engineering problems into clean, efficient MATLAB scripts. You will begin with basic concepts and numerical stability before progressing to algebraic systems, dynamic modeling, and spatial discretization. Each topic is explained through written breakdowns and structured code examples that demonstrate how to translate theory into working algorithms. This course is designed for engineering students, researchers, and practicing chemical engineers who want a clear, text-based introduction to numerical methods. A basic understanding of calculus and introductory chemical engineering concepts is helpful, but no advanced programming experience is required. Start mastering the computational tools that drive modern chemical process design today.