Presented By: Information and Technology Services (ITS)
CoderSpaces (Wednesdays)
Drop-in, Virtual Office Hours
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.
Wednesdays 2-2:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
with Armand Burks (ARC/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)
Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)
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.
Wednesdays 2-2:30 p.m.
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
with Armand Burks (ARC/UMSI), Jule Krüger (ISR/ARC), Meghan Richey (ARC), Shelly Johnson (ARC)
Expertise: automation of tasks and workflows, Bash, C++, cloud analytics, data analysis, management and visualization, Git, GNU Make, high performance computing, installing software on University clusters, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), natural language processing, Python, R, R Markdown, web scraping (Selenium)
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