Statistical Computing

9 units · Undergraduate

All Semesters: 9 units 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 language, with Python also being utilized beginning in Spring 2025. No previous programming experience in R is required but exposure to it in previous classes is assumed; students who have not been exposed to Python in the courses 15-110 / 15-112 or their equivalents are advised to work through, e.g., the free CMU Open Learning Initiative (OLI) Python course prior to the first week of class. Prerequisites: (36-217 Min. grade C or 21-325 Min. grade C or 36-225 Min. grade C or 36-219 Min. grade C or 36-235 Min. grade C or 15-259 Min. grade C or 36-218 Min. grade C) and ( 15-110 or 02-120 or 15-112 )