In this series of lectures on continuous optimization, we introduce the area of optimizing over spaces of continuous variables, particularly vectors and matrices of real numbers. The talks will have an algorithmic focus, developing the theory necessary to describe the algorithms and understand their fundamental properties. After describing the landscape of problem types, and describing a few sample applications, we discuss some mathematical foundations in real analysis, convex analysis, and linear algebra.