Statistical and scientific computing focusing on programming in Python or R. Concepts in statistical computing include Monte Carlo techniques, Jackknife, Bootstrapping, Cross-Validation, and others. Concepts in scientific computing include computational and randomized linear algebra, principal component analysis, and applications. Prerequisite: MATH 3330.