This course surveys basic computational tools and theory for solving linear and nonlinear optimization problems. The value of these tools will be illustrated on applications including chemical plant design, process operations and scheduling, and parameter estimation. A main goal of the course is to introduce students to the philosophy underlying optimization and the tools necessary to implement this philosophy. A large variety of examples show the wide applicability of optimization methodology.