Course goals and objectives

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^ATEX (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.