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Through hands-on experience with real problems, students will learn
computing skills essential in applied statistics and in research in
methodological and theoretical statistics. Topics include the Linux operating
system; R and SAS (statistical computing environments); L^{A}TEX (mathematical
document preparation language); reproducible research; database management;
simulation methods (Monte Carlo studies, bootstrap, MCMC);
statistical computing algorithms (Newton's method);
interfacing to cyberinfrastructure resources.

Cowles
2017-08-09