Computing I

Harvard HSPH

This is an introductory graduate-level course focusing on statistical computing. It seamlessly blends critical programming and statistical computing concepts, designed to complement the collaborative and reproducible biostatistics research. The curriculum covers a wide array of topics, including (1) optimization techniques such as Gradient Descent (GD), Stochastic Gradient Descent (SGD), Newton's Method, Alternating Direction Method of Multipliers (ADMM), and constrained optimization; (2)…