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X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
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TZNAME:EDT
DTSTART:20240310T070000
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DTSTART:20241103T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240202T130000
DTEND;TZID=America/New_York:20240202T160000
DTSTAMP:20260426T054040
CREATED:20231219T164821Z
LAST-MODIFIED:20231219T165755Z
UID:9619-1706878800-1706889600@oarc.rutgers.edu
SUMMARY:Intro to Amarel HPC Cluster
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nWorkshop content: This short course helps everyone make those first few steps toward productively using a Linux cluster for research — all members of the Rutgers community have free access to the Amarel Cluster. The workshop covers the basics of HPC Cluster\, Web access to the cluster\, SLURM\, File System and Storage\, and Setting up environment for the Software Stacks. \nAmarel account: Apply here as soon as possible. You must have an Amarel account set up before the workshop. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. Alternatively\, Windows 10 users can install the complete Windows Subsystem for Linux. \nIf you have questions or need help\, please email Bala Desinghu. \nRegister to attend the workshop: \n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-amarel-hpc-cluster/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240206T150000
DTEND;TZID=America/New_York:20240206T163000
DTSTAMP:20260426T054040
CREATED:20240119T174508Z
LAST-MODIFIED:20250110T214518Z
UID:9852-1707231600-1707237000@oarc.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:Part of the Data Topics series of workshops.\, this workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. The focus here is on implementing statistics using R\, with a comparison to Python techniques for accomplishing similar tasks. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-analysis-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T120000
DTEND;TZID=America/New_York:20240207T131500
DTSTAMP:20260426T054040
CREATED:20231218T022437Z
LAST-MODIFIED:20231218T022833Z
UID:9592-1707307200-1707311700@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management Tools using ArcGIS Online
DESCRIPTION: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 GIS data tools including data table join operations and spatial data management analyses. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/gis-joins-queries-data-mgmt-tools-using-arcgisonline/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T120000
DTEND;TZID=America/New_York:20240208T131500
DTSTAMP:20260426T054040
CREATED:20231218T024037Z
LAST-MODIFIED:20231218T122816Z
UID:9598-1707393600-1707398100@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management Tools using ArcGIS Pro
DESCRIPTION: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 GIS data tools including data table join operations and spatial data management analyses. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \nPlease also download the ArcGIS Pro application. Details and information for installing the application may be found at the Rutgers Software Portal. This requires a Microsoft Windows operating system. The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log in. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/gis-joins-queries-and-data-management-tools-using-arcgis-pro/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T160000
DTEND;TZID=America/New_York:20240208T173000
DTSTAMP:20260426T054041
CREATED:20240118T212431Z
LAST-MODIFIED:20240118T212818Z
UID:9765-1707408000-1707413400@oarc.rutgers.edu
SUMMARY:Mastering data analysis: Pandas and NumPy essentials
DESCRIPTION:This workshop is designed to equip learners with powerful tools for data analysis in Python. Participants will delve into the world of NumPy\, exploring its efficient arrays and array operations\, which form the backbone of numerical computing in Python. The workshop then shifts to Pandas\, where learners will get hands-on experience with its fundamental data structures—Series and DataFrame. This comprehensive session is ideal for anyone looking to enhance their data analysis skills\, offering the tools needed to unlock insights from data with efficiency and precision. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/mastering-data-analysis-pandas-and-mumpy-essentials/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240212T120000
DTEND;TZID=America/New_York:20240212T131500
DTSTAMP:20260426T054041
CREATED:20231218T124043Z
LAST-MODIFIED:20240118T201226Z
UID:9605-1707739200-1707743700@oarc.rutgers.edu
SUMMARY:Love Data Week!  Finding\, Creating and Working with GIS Data
DESCRIPTION:Location can play an important part in your research. “Everything happens somewhere…” \nIn this short\, interactive workshop\, we’ll learn about spatial data\, explore GIS (geographic information systems) data resources and search strategies\, review critical data literacy and attribution information\, and discuss building spatial datasets. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/love-data-week-working-with-gis-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240215T160000
DTEND;TZID=America/New_York:20240215T173000
DTSTAMP:20260426T054041
CREATED:20240118T213328Z
LAST-MODIFIED:20240118T214002Z
UID:9773-1708012800-1708018200@oarc.rutgers.edu
SUMMARY:Love Data Week! Unveiling Data Stories: Python for Visualization and Exploration
DESCRIPTION:This workshop is designed to guide participants through the process of revealing hidden stories in data using Python. It focuses on using Matplotlib and Seaborn\, two prominent visualization tools\, for effective exploratory data analysis (EDA). This workshop emphasizes the creation of engaging visual narratives\, enabling participants to transform complex data insights into compelling and understandable visual formats. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/love-dataweek-unveiling-data-stories-python-for-visualization-and-exploration/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T160000
DTEND;TZID=America/New_York:20240229T173000
DTSTAMP:20260426T054041
CREATED:20240118T215034Z
LAST-MODIFIED:20240118T215419Z
UID:9782-1709222400-1709227800@oarc.rutgers.edu
SUMMARY:Mathematical foundations for data science
DESCRIPTION:This workshop offers a brief yet comprehensive overview of essential mathematics for data science. It covers foundational statistics and probability\, crucial for model understanding\, and basic hypothesis testing techniques. It also introduces linear algebra concepts like vectors and matrices\, alongside fundamental calculus for derivatives and integrals. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/mathematical-foundations-for-data-science/
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