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Presented By: Information and Technology Services (ITS)

CoderSpaces (Thursdays)

Drop-in, Virtual Office Hours

Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines. Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
Our hosts have a wide set of methodological and technological expertise, coming to you from a variety of U-M departments and disciplines.
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, Mondays – Thursdays, during the Summer 2021 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.

Thursdays 2-3:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/99436245948)
*Users will have to sign in with their UMICH (Level-1) credentials.

with Bennet Fauber (ARC), Bridget Hegarty (CEE), Erin Ware (SRC/ISR), Kelly Sovacool (DCMB)

Expertise: automation of tasks and workflows, Bash, batch scripting, data management, Git, GitHub, high performance computing, installing software on University clusters, Linux, math for data science, Python, R, R Markdown, R tidyverse, SAS, Slurm, Snakemake, statistical modeling

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