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Events for April 11 – February 1 – Page 2 – Office of Advanced Research Computing Events for April 11 – February 1 – Page 2 – Office of Advanced Research Computing

Intro to Linux Command Line

Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. Workshop content: This workshop offers a brief introduction … Read More

Introduction to GIS with QGIS

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions.A Geographic Information System (GIS) can be a very useful tool … Read More

Amarel monthly maintenance

Usually scheduled for every 3rd Tuesday and Wednesday of the month from 08:00 ET on the first day till 19:00 ET on the second day. 2023 anticipated maintenance schedule (all … Read More

Network Analysis for Humanists

Are you interested in exploring and analyzing historical or cultural networks representing trade, communication, kinship relationships, or similar? In this workshop, we will use Gephi to analyze the relationships between actors and … Read More

Data Publication 2

Publishing to data repositories and creating R packages Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews … Read More

GIS Joins, Queries and Data Management

A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will work through various … Read More

Network Analysis for Humanists

Are you interested in exploring and analyzing historical or cultural networks representing trade, communication, kinship relationships, or similar? In this workshop, we will use Gephi to analyze the relationships between actors and … Read More

Machine Learning: Regression

This workshop will give an introduction to machine learning methods with regression. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python