Numerical Methods for Chemical Engineering in MATLAB

Chemical engineering challenges—from reactor design to transport phenomena—often lead to complex mathematical models that cannot be solved by hand. Mastering numerical methods allows you to simulate these processes accurately and make reliable engineering decisions. This text-based course guides you through the essential numerical techniques used to solve chemical engineering problems, transitioning from basic mathematical concepts to structured MATLAB workflows. What you'll learn: - Understand foundational mathematical concepts, including linear systems, nonlinear equations, and differential equations. - Apply MATLAB matrix operations and vectorization techniques to optimize computational efficiency. - Solve algebraic equation systems representing chemical reactor networks and separation processes. - Configure numerical solvers for ordinary and partial differential equations describing transport phenomena. - Implement modern MATLAB programming practices, including structured code design and basic error handling. The course begins with key terminology, basic mathematical definitions, and essential MATLAB commands before introducing practical engineering scenarios. You will then progress through structured text lessons and written exercises, learning how to translate chemical engineering principles into robust numerical models. This course is designed for chemistry students, chemical engineering undergraduates, and practicing professionals looking for a beginner-friendly introduction to computational modeling. No advanced programming experience is required. Start reading today to build a solid computational foundation for your chemical engineering career.