Recommended for students planning to undertake graduate work in mathematics. A rigorous treatment of selected topics in real analysis, such as Lebesgue integration, or multivariate integration and differential forms. Three lecture hours a week for one semester. Prerequisite: Mathematics 365C with a grade of at least C-.

Same as Operations Research and Industrial Engineering 365. Learn data analysis and programming skills. Explore essential data science techniques, including regression, decision trees, classification, and neural networks. Three lecture hours a week for one semester. Only one of the following may be counted: Mechanical Engineering 365D, 379M (Topic: Data Science for Engineers), Operations Research and Industrial Engineering 365. Prerequisite: Upper-division standing; Mechanical Engineering 205 or 318M, and Mechanical Engineering 335.