Numerical Methods for Chemical Engineering

Chemical engineering challenges require systematic numerical solutions to model complex reactions, fluid dynamics, and transport phenomena. This course introduces you to the foundational computational methods used to solve these engineering problems through clear, structured programming principles. You will learn how to transition from physical equations to robust numerical algorithms. Starting with core mathematical concepts and program development language (PDL) design, you will explore how to structure calculations, specify input and output data, and document computational models. What you will learn: Understand the foundational numerical methods used in chemical process modeling; Design structured program outlines using program development language; Specify clear input and output data structures for engineering calculations; Implement numerical approximations for algebraic and differential equations; Apply modular programming design notes to keep engineering code organized and maintainable; Practice translating physical chemical principles into reliable computational logic. The course begins with essential definitions of numerical errors and algorithm stability, moves through structured program design, and finishes with practical engineering application workflows. This course is designed for beginners in computational engineering, requiring only basic knowledge of calculus and general chemistry. Start building reliable computational models for your engineering projects today.