In this course we will learn how to formulate, analyze and solve various optimization problems. Topics include convex analysis, classifying different types of optimization problems optimality conditions duality, unconstrainted optimization, and optimization under uncertainty. No prior optimization background is required for this class. However, students should have workable knowledge in multivariable calculus, linear algebra and matrix theory.