Numerical Methods for Chemical Engineering with Python

Chemical engineering problems involving heat transfer, fluid dynamics, and chemical reactions rarely have simple analytical solutions. To solve real-world engineering challenges, you must master computational methods and numerical simulation. This text-only course guides you through the foundational mathematical concepts and modern programming techniques required to model chemical processes. You will transition from manual approximations to writing clean, structured Python code that solves complex engineering equations reliably. What you'll learn: - Understand the fundamentals of numerical linear algebra applied to mass and energy balances. - Solve systems of nonlinear algebraic equations for chemical equilibrium and reactor design. - Apply ordinary differential equation solvers to model transient chemical processes. - Formulate partial differential equations to analyze fluid flow, transport phenomena, and heat transfer. - Implement modern scientific computing libraries in Python to optimize molecular and process geometries. - Write structured, readable, and typed numerical code to ensure simulation accuracy. The course begins with core mathematical concepts and basic programming setups before moving into practical engineering applications. You will progress from simple algebraic systems to complex multi-dimensional transport and reaction models through written explanations and code-based exercises. Designed for chemical engineering students, researchers, and practicing engineers, this course requires no advanced programming experience, though basic familiarity with algebraic concepts is helpful. Start reading today to bridge the gap between chemical engineering theory and computational reality.