This course will introduce basic concepts of convex optimization and algorithms for convex optimization (e.g., Newton’s method, gradient descent methods). We will concentrate on recognizing and solving convex optimization problems that arise in engineering applications. This course would benefit anyone who uses or will use scientific computing or optimization in engineering or related work (e.g., machine learning, robotics, computer graphics, algorithms & complexity, computational geometry).