Hopkins Biostatistics Student Computing Club


Our group gives biostatistics students of all levels the opportunity to develop computing skills useful for statisticians. We offer one hour sessions every twice a month on topics in computing, usually hosted by faculty members in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. These sessions take place every other Friday from 12:00-1:15 in the Biostatistics Library, (our Student Journal Club meets on the alternate Fridays).

The topics covered in our sessions are flexible and open to student input. Some of the topics that students have suggested so far include the Unix / Linux environment, using the cluster (usher), creating R packages and documentation, emacs configuration for LaTeX / ESS, advanced topics in emacs, etc. We plan to address these and other topics at our lunch sessions throughout the course of this year. If you have further suggestions for topics, please send an email to Nick Reich or Hao Wu.

Room: Biostatistics Library


Schedule

Day   Time   Topic   Notes
Fri 9/8 12:00-1:15pm Introduction to departmental computing (Roger) Notes
Fri 9/22 12:00-1:15pm Set up your laptop! Tricks and tips from the veteran computers.
Fri 10/6 12:00-1:15pm Introduction to Emacs and ESS (Brian) unix | emacs | latex | R
Fri 11/3 12:00-1:15pm Everything you ever wanted to know about R but were afraid to ask... (Rafa) notes
Fri 11/17 12:00-1:15pm Parsing huge datasets with perl (Fernando) perl lectures
Fri 12/8 12:00-12:45pm How to build a website (Karl) pdf notes | ppt notes | w3schools tutorial
Fri 1/19 12:00-1:15pm Using Sweave (Roger) notes | example.Rnw
Fri 2/2 12:00-1:15pm MatLab (Hao) notes | Octave
Fri 3/2 12:00-1:15pm Bibtex (Brian) test files: .tex | .bib | output
Fri 3/30 12:00-1:15pm Efficient SAS programming with large data (Aidan) notes
Fri 4/27 12:00-1:15pm Mathematica (Karl) tutorial | slides (color) | slides (b&w)


Other resources


Last modified: Mon Aug 21 2006