WHEN: November 17, 2020 2:00 pm-3:30 pmADD TO CALENDAR
Are you grappling with a piece of code, trying to compute on a 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 for the remainder of 2020 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/99832397131)
*Users will have to sign in with their UMICH (Level-1) credentials.
With Alexander Gaenko (CSCAR), Chen Chen (PDHP/ISR), Lingxi Li (PDHP/ISR), Paul Schulz (PDHP/ISR)
Expertise: C/C++, CMake/GNU Make, data management, Fortran, Git, HPC, Julia, Mplus, parallelization, performance analysis, Perl, Python, R, SAS, secure computing enclaves, shell, SQL, Stata, statistical computing, survey methods (hypothesis testing, imputation, modeling, statistics, sampling, questionnaire design, weighting), web scraping