This is an introductory but technical course to start with optimization when you have the basic mathematical background (ability to solve linear systems of equations, understand what a matrix is). You will gently be introduced to formulating different optimization models (e.g., unconstrained/constrained, linear/nonlinear, mixed-integer/continuous, dynamic optimization, optimization under uncertainty). The basic solution techniques for such models are covered as well as basic implementation excercises.