Numerical Methods for Chemical Engineering Practice

Chemical engineering systems rely heavily on complex mathematical models that cannot be solved by hand. To design reactors, model transport phenomena, and optimize processes, you need to master numerical approximation techniques. This text-based course guides you step-by-step through the core numerical methods used to solve real-world chemical engineering problems. You will transition from theoretical equations to practical numerical solutions, learning how to set up, analyze, and solve complex engineering algorithms. What you'll learn: - Understand the foundational mathematics behind chemical engineering numerical models - Solve systems of linear and non-linear algebraic equations representing process units - Apply numerical integration techniques to reactor design and transport equations - Configure ordinary differential equations to model transient chemical processes - Analyze error propagation and convergence criteria to ensure solution accuracy - Practice solving typical engineering assessment problems through detailed written walkthroughs This course begins with essential definitions and core mathematical concepts before moving into structured problem-solving workflows. You will read clear explanations of numerical algorithms and study step-by-step solutions to practical engineering scenarios. This course is designed for beginner to intermediate engineering students and practicing chemical engineers who want to strengthen their computational problem-solving skills. No advanced programming background is required. Start mastering the mathematical tools that drive modern chemical engineering design.