Hopkins Biostatistics Student Computing Club (2009-2010)

Our group gives biostatistics students of all levels the opportunity to develop computing skills useful for statisticians. We offer one hour sessions approximately every two weeks on topics in computing, hosted by faculty members and senior students in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. These sessions will take place every other Thursday from 12:00-1:15 in W2015, unless otherwise mentioned (our Student Journal Club meets on Fridays).

This year, we would like to focus the fall term on essential biostat computing topics (R, emacs, LaTeX, etc.). Topics are listed below and will be updated as schedules are finalized. In the spring, we would like to cover other topics (past ideas have included Sweave, Bibtex, etc.). As always, the topics are flexible, so please send ideas to us.

If you are not on the biostat listserve and would like to receive e-mails regarding computing club, please let us know.

Comments? Suggestions? Contact Jenna Krall or John Muschelli.

Room: W2017 (except 10/8)

Day   Time   Topic   Notes   Pizza?
Thu 9/10 12:00-1:15pm Mac vs. PC and computer tips (students), W2017 PC Notes | Mac Yes
Thu 9/24 12:00-1:15pm R Tips (Roger Peng), W2017 No
Thu 10/8 12:00-1:15pm LaTeX Tips (Tom Louis) W3031 Yes
FRIDAY 11/6 12:00-1:15pm Gmail Tips (Brian Caffo and Bruce Swihart), W4019 Yes
Thu 11/19 12:00-1:15pm Organizing Research Notes with a Wiki (Hilary Parker), W2017 Hilary's wiki notes No
Thu 12/3 12:00-1:15pm Intro to Enigma (Marvin Newhouse),W2017 Yes
Thu 2/4 12:00-1:15pm Parallel Computing with R (Hector Corrada Bravo), W2017 No, but snacks
Thu 2/25 12:00-1:15pm Subversion (SVN) (Roger Peng), W2017 Yes
Thu 3/4 12:00-1:15pm Plots in R with ggplot2 (Kasper Hansen), W2017 Kasper's slides| inkscape Yes
Thu 4/8 12:00-1:15pm Publishable Graphics/Escaping RGBland (Bruce Swihart), W2017 Bruce's links Yes
Thu 4/22 12:00-1:15pm SAS? STATA? R? Which to choose... (John McGready), W2017 Yes
Thu 5/13 12:00-1:15pm Sweave and StatWeave (Roger Peng and John Muschelli), W2017 Yes

Other resources

Last modified: Sun Aug 23 2009 <-- hhmts end -->