Description: Lecture, two hours. Requisites: Mathematics 31A, 31B, 33A. Designed for incoming first-year MS and PhD students. Review, and in some cases introduction, of specialized topics in linear algebra, multivariable calculus, and scientific computing. Interplay between mathematical methods and scientific computing within R statistical computing environment. Detailed training on numerical algorithms used in linear algebra and probabilistic simulations commonly used by statisticians. S/U or letter grading.

Units: 2.0