Numerical Methods for Chemical Engineering Fundamentals

Chemical engineering challenges often involve complex systems of equations that cannot be solved analytically. To tackle these real-world problems, a solid grasp of numerical methods is essential for any aspiring engineer. This course provides a structured, written guide to the fundamental numerical techniques used to model and analyze chemical processes, helping you build confidence for academic assessments and practical applications. You will transition from manual calculation struggles to systematically formulating and solving engineering models. What you will learn: Understand the foundational theory of linear and nonlinear algebraic equations in chemical systems, Apply numerical integration and differentiation techniques to reactor design problems, Solve ordinary differential equations modeling transient transport phenomena, Implement basic iterative methods and analyze their convergence and error limits, and Explore modern computational practices including basic vectorization and structured algorithm design. The course begins with essential mathematical terminology and foundational concepts before moving into step-by-step written walkthroughs of core numerical algorithms. This text-only course is designed specifically for engineering students and beginners looking for a clear, accessible introduction to numerical computation without any prior programming prerequisites. Prepare to elevate your engineering problem-solving skills today.