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); LATEX (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.