Research Computing Training
ITS Research Computing offers various short courses during the Summer, Fall and Spring terms. The current course offerings are listed below. Submit suggestions for new course offerings at firstname.lastname@example.org. View the complete set of course materials.
To register and to see a full course description, visit our sign-up page.
- Matlab: Introduction | August 28 | 11 a.m.
- Using Longleaf | September 2 | 2 p.m.
- Linux: Introduction | September 9 | 2 p.m.
- Using Dogwood | September 16 | 3 p.m.
- Using Longleaf | September 23 | 2 p.m.
- Scientific Computing: Gaussian and GaussView | September 29 | 2 p.m.
- QIIME2 | October 1 | 10 a.m.
- Linux: Intermediate | October 8 | 10 a.m.
- Shell Scripting | October 13 | 2 p.m.
- Using Longleaf | October 22 | 2 p.m.
- Julia: Introduction | October 23 | 11 a.m.
- R: Introduction | October 28 | 2 p.m.
- Matlab: Intermediate | November 5 | 2 p.m.
- Using Longleaf | November 10 | 2 p.m.
- Scientific Computing: Intro to Computational Chemistry | November 12 | 2 p.m.
- Julia: Using Dataframes | November 17 | 11 a.m.
- Gromacs: Molecular Dynamics | November 19 | 2 p.m.
- Using Longleaf | December 2 | 2 p.m.
R and Python courses available
The University Libraries and the Odum Institute have developed R Open Labs to help participants get started with R; see http://ropenlabs.web.unc.edu/ for details. New topics are covered each week and time is provided for practice and general assistance with research projects in R. Registration is not necessary.
The Library also offers Python Open Labs, a similar series of Python workshops. Registration is necessary.
Descriptions, materials, and registration links are available here https://unc-libraries-data.github.io/Python/.
Research Computing will partner with the Library on these courses.