MATLAB Numerical Methods for Chemical Engineers

Solving complex chemical engineering problems requires more than just theoretical equations; it demands practical computational skills. This text-based course introduces you to numerical methods and optimization techniques using MATLAB, specifically tailored for chemical engineering scenarios. Through structured written explanations, step-by-step code walkthroughs, and practical exercises, you will transition from manual calculations to automated numerical analysis. You will learn to translate physical chemical processes into mathematical models, write clean MATLAB scripts, and solve optimization problems like cost minimization and gradient evaluation. What you'll learn: - Understand foundational numerical concepts, including root-finding, interpolation, and numerical integration. - Build MATLAB scripts to evaluate and optimize multi-variable cost functions using gradient-based methods. - Apply numerical techniques to solve systems of linear and non-linear algebraic equations representing chemical processes. - Practice modeling transient chemical systems using ordinary differential equation solvers. - Optimize process design parameters by implementing basic search algorithms and MATLAB's optimization tools. - Learn modern MATLAB programming best practices, including vectorization and structured code design for engineering applications. The course begins with essential mathematical terminology and MATLAB basics before advancing to root-finding, differential equations, and multi-variable optimization. You will work through clear, text-based examples that demonstrate how to model reactors, heat exchangers, and separation columns. This course is designed for beginner chemical engineering students, practicing engineers new to computational modeling, and anyone looking to refresh their numerical methods skills. No prior MATLAB programming experience is required. Start mastering the computational tools that drive modern chemical engineering design and optimization.