Numerical Methods in Chemical Engineering with MATLAB

Chemical engineering problems often involve complex differential equations, thermodynamic models, and transport phenomena that cannot be solved analytically. To tackle these challenges, engineers rely on numerical methods to simulate and optimize real-world processes. This text-based course bridges the gap between chemical engineering principles and computational execution, giving you the skills to solve complex engineering problems systematically. You will start by mastering the fundamental mathematical concepts and key numerical algorithms, progressing step-by-step from basic root-finding to advanced differential equations. By reading detailed explanations, analyzing structured code snippets, and working through practical engineering scenarios, you will develop a strong foundation in computational modeling. What you'll learn: - Understand the core mathematical principles behind numerical methods in engineering - Solve non-linear algebraic equations representing chemical equilibrium and mass balances - Implement numerical integration and differentiation techniques for transport phenomena - Model transient systems using ordinary and partial differential equations - Apply regression and curve-fitting techniques to experimental chemical data - Write clean, efficient MATLAB scripts using modern programming best practices This course begins with foundational definitions and essential mathematical concepts before guiding you through practical chemical engineering applications. It is designed specifically for beginners, students, and practicing engineers who want to build a solid foundation in computational methods without needing any prior programming experience. Start learning today and unlock the power of numerical modeling in chemical engineering.