Numerical Methods in Chemical Engineering with MATLAB

Chemical engineering problems often involve complex differential equations, non-linear algebraic systems, and transport phenomena that cannot be solved by hand. Developing a strong foundation in computational problem-solving is essential for modern engineers. This text-only course guides you through translating physical chemical processes into reliable mathematical models and solving them computationally. By working through this comprehensive material, you will transition from understanding theoretical chemical engineering equations to confidently writing and executing simulation code. You will learn to analyze system behaviors, optimize process parameters, and troubleshoot numerical errors systematically. What you'll learn: - Understand the foundational mathematical principles behind numerical approximation and error analysis - Solve non-linear algebraic equations representing chemical equilibrium and flash calculations - Model transient systems using numerical integration for ordinary differential equations - Apply finite difference methods to solve boundary value problems in heat and mass transfer - Practice structured programming habits, including code modularization and debugging techniques - Configure numerical solvers to optimize chemical reactor yields and separation processes This course begins with basic numerical concepts and core programming syntax, ensuring you build a solid foundation before moving on to complex multi-variable systems and iterative solvers. You will read clear explanations, analyze step-by-step code implementations, and practice through written engineering scenarios. This course is designed for undergraduate chemical engineering students, practicing process engineers, and science professionals new to computational modeling. No advanced programming background is required to begin. Start mastering the numerical tools essential for modern chemical process design and simulation today.