36-350 Statistical Computing

9 units, Carnegie Mellon University

Statistical Computing: an introduction to computing targeted at statistics majors with (perhaps) minimal programming knowledge. The main topics are core ideas of programming (functions, objects, data structures, flow control, input and output, debugging, logical design and abstraction). The class will be taught primarily in the R and Python languages. No previous programming experience in R is required but exposure to it in previous classes is assumed.

Prerequisites: (36-218 (min C) or 21-325 (min C) or 36-225 (min C) or 36-217 (min C) or 36-235 (min C) or 15-259 (min C) or 36-219 (min C)) and (15-112 or 15-110 or 02-120)

Offered: Spring 2027, Fall 2026, Summer 2026, Spring 2026, Fall 2025

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