Numerical Methods Applied to Chemical Engineering
MIT OpenCourseWare offers this graduate-level course on computational techniques for chemical engineering problems. The material starts with linear systems as the basic unit of scientific computing, then moves through methods for solving nonlinear algebraic equations, ordinary differential equations, and differential-algebraic systems. Probability theory, statistical data analysis, and parameter estimation are covered alongside finite difference and finite element techniques for converting partial differential equations from transport phenomena into solvable systems. Methods are demonstrated throughout in MATLAB. As with other MIT OCW offerings, the course provides lecture notes, assignments, and related materials for self-study at no cost, with no certificate offered. It suits students who already have a background in engineering mathematics and want to apply computational tools to real transport and reaction problems.