Numerical Methods for Chemical Engineering with MATLAB

Chemical engineering challenges often lead to complex mathematical systems that cannot be solved by hand. This text-based course bridges the gap between chemical engineering theory and computational execution, showing you how to translate physical systems into solvable mathematical models. You will start with the fundamental terminology of numerical computation, error analysis, and basic algorithm design before moving on to practical simulation techniques. Through clear written explanations and step-by-step code walkthroughs, you will gain the confidence to model and solve engineering problems systematically. What you'll learn: - Understand the foundational mathematical concepts of numerical error, convergence, and stability - Solve systems of linear and non-linear algebraic equations representing chemical process networks - Configure and solve ordinary differential equations for transient reactor systems and heat transfer - Apply numerical integration techniques to calculate reactor volumes and mass transport rates - Implement optimization algorithms to determine ideal operating conditions for chemical processes - Write clean, structured, and modern MATLAB code to automate repetitive engineering calculations This course begins with core definitions and mathematical principles, establishing a solid foundation before introducing practical coding scenarios. You will progress from simple algebraic equations to complex differential systems, learning how to select the right numerical solver for each engineering context. This course is designed for undergraduate students, junior engineers, and researchers in chemical or process engineering who want to build a practical foundation in computational modeling. No advanced programming experience is required. Start mastering the computational tools that drive modern chemical process design.