STA 5006 - Statistical Computing

(4 credits)

Floating point calculations, approximating probabilities and quantiles, random number generation for simulation, variation analysis, computational linear algebra, methods for linear models, simulated annealing, optimization and methods for nonlinear models, static and dynamic graphical methods for data analysis, and presentation graphics. This is not a course in how to use statistical packages. Student must have knowledge of a programming language.

Prerequisite(s): Student must have knowledge of a programming language.

Prerequisite or Corequisite: STA 502 or STA 513

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.