Numerical Methods in Chemical Engineering with MATLAB

Chemical engineering challenges often involve complex systems of equations, transport phenomena, and reactor designs that cannot be solved by hand. Developing a strong foundation in numerical methods is essential for simulating, analyzing, and optimizing these chemical processes. This written course guides you from the fundamental mathematical concepts to writing clean, executable code for real-world engineering scenarios. By working through structured explanations and code snippets, you will transition from manual calculations to automated numerical problem-solving. You will learn to translate physical chemical engineering principles into robust algorithms that run efficiently. What you'll learn: - Understand the foundational theory of numerical approximation and error analysis in engineering calculations - Solve systems of linear and non-linear algebraic equations representing chemical process models - Apply numerical integration and differentiation to reactor design and transport phenomena problems - Code ordinary differential equations (ODEs) to simulate transient chemical systems and kinetics - Implement modern MATLAB programming best practices, including vectorized operations and structured code formatting - Analyze and interpret numerical stability and convergence for engineering simulations This course begins with essential mathematical definitions and core algorithmic concepts before moving into practical code implementations. You will explore step-by-step written walkthroughs that demonstrate how to translate chemical engineering equations into reliable MATLAB scripts. This course is designed for engineering students, researchers, and practicing professionals who want to build a solid foundation in numerical computation. No advanced programming experience is required, though a basic familiarity with algebra and general chemistry is helpful. Start mastering numerical methods today to design and simulate chemical processes with confidence.