Foundational Numerical Methods for Chemical Engineering

Many challenges in chemical engineering require computational solutions that go beyond analytical approaches. This course provides a robust foundation in numerical methods, equipping you to model, analyze, and solve complex chemical engineering problems with confidence. By the end of this course, you will be able to: - Understand the fundamental principles of numerical analysis, including error propagation and convergence. - Apply iterative and direct methods to solve systems of linear and nonlinear algebraic equations in process design. - Implement numerical integration and differentiation techniques for analyzing experimental data and transport phenomena. - Solve ordinary differential equations (ODEs) to model dynamic chemical reactions and unsteady-state processes. - Learn best practices for structuring and testing numerical algorithms for accuracy and efficiency. - Explore numerical optimization techniques to improve process parameters and system performance. The course begins with core numerical concepts and gradually progresses to their practical application in various chemical engineering contexts, emphasizing hands-on problem-solving through written exercises. This course is designed for beginners in chemical engineering or related fields with no prior experience in numerical methods. Begin your journey into computational chemical engineering and enhance your problem-solving capabilities.