UVA Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by experts and are freely available to UVa faculty, staff and students.
Upcoming Workshops DATE WORKSHOP INSTRUCTOR 01/30/20 Using Rivanna from the Command Line Gladys Andino 01/31/20 Fundamentals of Matlab Ed Hall 02/06/20 Parallel Computing with Matlab Ed Hall 02/11/20 Shiny Web Apps in R Christina Gancayco 02/13/20 Software Containers for HPC Environments Ruoshi Sun 02/13/20 Statistical Methods in Matlab Ed Hall 02/18/20 Intro to Image Processing with Fiji/ImageJ Karsten Siller 02/19/20 Moving R to HPC Jackie Huband 02/20/20 High Performance Python Karsten Siller 02/20/20 Optimization Methods in Matlab Ed Hall 02/25/20 Automation of Image Processing with Fiji/ImageJ Karsten Siller 02/26/20 Optimizing R Code Jackie Huband 02/27/20 C/C++ and Fortran on Rivanna Ruoshi Sun 02/27/20 Deep Learning in Matlab Christina Gancayco 03/04/20 Parallelizing R Jackie Huband 03/05/20 Image Processing in Matlab Christina Gancayco 03/18/20 Parallel R with MPI Jackie Huband 03/26/20 Julia on Rivanna Ed Hall View All Upcoming Workshops on CADRE Academy ↗]() – View All Upcoming Workshops
In addition to providing free, in-person workshop training, UVA Research Computing staff teach for-credit courses. Below is a selection of courses that members of our group have taught, co-taught or provided guest lectures:
BIMS 8382: Introduction to Biomedical Data Science Spring 2017, Spring 2018
This course introduces methods, tools, and software for reproducibly managing, manipulating, analyzing, and visualizing large-scale biomedical data. Specifically, the course introduces the R statistical computing environment and packages for manipulating and visualizing high-dimensional data, covers strategies for reproducible research, and culminates with analysis of data from a real RNA-seq experiment using R and Bioconductor packages.