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DTSTAMP:20210902T163916
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SUMMARY:Meeting:CoderSpaces - virtual office hours - Tuesdays - 2-3:30
DESCRIPTION: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.\n\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces\, Tuesdays – Thursdays\, during the Fall 2021 term to get research support and connect with others.\n\nThe virtual sessions are designed to assist faculty\, staff\, and students with research methodology\, statistics\, data science applications\, and computational programming for research.\n\nOur 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.\n\nCoderSpaces provide a casual\, productive and inclusive environment. Everyone is welcome regardless of skill level.\n\nJoin via Zoom* (https://umich.zoom.us/j/99832397131)\n*Users will have to sign in with their UMICH (Level-1) credentials.\n\nwith Alexander Gaenko (CSCAR)\, Armand Burks (ARC/UMSI)\, Liz Hanley (PDHP/ISR)\, Paul Schulz (PDHP/ISR)\n\nExpertise: Automation of tasks and workflows\, bash\, C/C++\, CMake\, data mining and visualization\, Fortran\, front-end HTML/CSS/JavaScript stack for custom web applications\, git\, GNU Make\, GPUs\, High performance computing\, inter-lingual software interoperability\, Java\, Julia\, machine learning\, natural language processing\, parallelization\, performance analysis\, Perl\, Python\, R\, SAS\, shell\, secure computing enclaves\, SQL\, Stata\, statistical methods (hypothesis testing\, data analysis\, modeling\, sampling)\, web scraping
UID:86227-21632227@events.umich.edu
URL:https://events.umich.edu/event/86227
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data Science,High Performance Computing,Information and Technology,Research
LOCATION:Off Campus Location
CONTACT:
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