3.0

credits

Average Course Rating

This course introduces computational methods for solving problems in chemical and biomolecular engineering. Applications include kinetics, heat and mass transfer, reaction engineering, and chemical and biomolecular design. Topics may cover numerical solutions of nonlinear algebraic equations, systems of ordinary differential equations, boundary value problems, partial differential equation simulation, stochastic chemical kinetics, optimization, sampling, parameter estimation, error analysis, and numerical linear algebra. All material is presented in the context of chemical and biomolecular engineering. Prior experience with Python programming for engineering is assumed.