Presented By: Information and Technology Services (ITS)
CoderSpaces, Virtual Office Hours (Tuesdays, 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/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.
With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)
Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE
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/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.
With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)
Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE
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