STATISTICAL PROGRAMMING

STA 523L

Statistical programming, computation using selected languages and environments (Python, R, Matlab, and/or C/C++) and their interfaces with custom code development for central statistical models. Best practices and software development for reproducible results, selecting topics from: use of markup languages, understanding data structures, design of graphics, object oriented programming, vectorized code, scoping, documenting code, profiling and debugging, building modular code, and version control- all in contexts of specific applied statistical analyses. Designed to complement STA 601. Instructor consent required. Prereqs: STA 210, 230 and 250, or equivalents; STA 601 (or co-registration). Instructor: Chan, Clyde, Iversen, or Rundel

Day / Time: 

F 01:25 PM-02:40 PM

Location: 

Perkins 071

Instructor: 

Rundel, Colin

Section: 

01L