CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm)

CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows