Numerical Methods for Chemical Engineering with MATLAB

Are you a chemical engineer or student grappling with complex problems that analytical solutions can't touch? Numerical methods provide the powerful tools to tackle these challenges head-on. This course equips you with the essential numerical techniques and practical MATLAB programming skills to model, simulate, and solve a wide range of engineering problems, transforming your ability to approach real-world scenarios. By reading through explanations and practicing with code snippets, you will: * Understand the core principles of common numerical methods, including root-finding, interpolation, and numerical integration. * Implement various numerical algorithms using MATLAB to solve systems of linear and non-linear equations. * Apply numerical techniques to solve ordinary and partial differential equations relevant to chemical engineering systems. * Analyze the stability, convergence, and error propagation of numerical methods to ensure reliable solutions. * Practice developing robust and efficient MATLAB code for scientific computing tasks, including basic input validation. * Solve practical chemical engineering problems such as reactor design, mass and heat transfer, and process control using computational approaches. The course begins by establishing foundational numerical concepts and progresses through their step-by-step implementation in MATLAB, culminating in the application of these methods to solve typical chemical engineering scenarios. This course is designed for chemical engineering students, recent graduates, and professionals who are new to numerical methods or wish to strengthen their computational problem-solving skills. No prior experience with numerical methods or MATLAB is required. Begin your journey to computational proficiency in chemical engineering today.