Math
Graduate study in the Department of Mathematics is designed to train students in the formulation, analysis, and solution of mathematical models in a variety of application areas. It also emphasizes interdisciplinary research and teamwork. The master's program prepares students for work in industry, government agencies, academia, and further graduate studies.
Visit the Department of Mathematics website to learn more about its faculty and facilities.
Mathematics (MATH)
Prerequisite: Permission of department. Topics include convexity, convex optimization problems, Lagrangian duality, optimality conditions and optimization in machine learning. Algorithmic topics will include the gradient descent and its variants, Newton’s and quasi-Newton methods. Applications will emphasize topics in data science.