CoderSpaces, Virtual Office Hours (Tuesdays afternoons)
Alexander Gaenko (CSCAR), Huchen Liu (PDHP/ISR), Liz Hanley (PDHP/ISR), Paul Schulz (PDHP/ISR), Saki Kuzushima (LSA Political Science)
WHEN: January 25, 2022 2:00 pm-3:30 pmADD TO CALENDAR
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 – Thursdays, during the Winter 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.
Expertise at this session includes: Automation of tasks and workflows, Amazon Web Services (AWS), Bash, C/C++, cloud computing, CMake, computational chemistry, CUDA, data analysis, data management, data manipulation, data visualization, Fortran, Git/Github, GNU Make, Google Cloud Platform, GPU, high performance computing, HDF5, Java, Julia, LaTeX, Linux, Markdown, MPI, NVidia, OpenACC, OpenMP, parallelization, performance analysis, Perl, Python (including pandas), R, Rcpp, Shell scripting, software development, software compilation and installation on Linux, Stata, statistical analysis on social science data, such as survey, panel, time-series, and text data, test-driven development (TDD), unit testing, web scraping (Selenium, Python/Requests, Python/BeautifulSoup), text analysis in R.
CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.
Join via Zoom* (https://umich.zoom.us/j/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.