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METHOD:PUBLISH
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
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
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TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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DTSTART:20231105T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230407T130000
DTEND;TZID=America/New_York:20230407T160000
DTSTAMP:20260424T031854
CREATED:20230124T173023Z
LAST-MODIFIED:20230124T173900Z
UID:8222-1680872400-1680883200@oarc.rutgers.edu
SUMMARY:Intro to Linux Command Line
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 workshop offers a brief introduction to using the Linux operating system\, focusing on command-line operations. The primary objective is to provide beginner-level familiarity with using a Linux system for common research computing tasks. Linux systems (e.g.\, workstations\, remote servers\, computing clusters) can be thought of as the foundation of research computing. \nIf you have questions or need help\, please email Bala Desinghu. \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. \nRegister to attend the workshop:\n  \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-linux-command-line-4-7-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230418T080000
DTEND;TZID=America/New_York:20230419T190000
DTSTAMP:20260424T031854
CREATED:20230217T175843Z
LAST-MODIFIED:20230217T180023Z
UID:8427-1681804800-1681930800@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-4-18-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230505T130000
DTEND;TZID=America/New_York:20230505T160000
DTSTAMP:20260424T031854
CREATED:20230124T181358Z
LAST-MODIFIED:20230124T201130Z
UID:8229-1683291600-1683302400@oarc.rutgers.edu
SUMMARY:Intro to Python
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nPython is a popular language in academia and industry for developing software and data science applications. Compared to the other generic programming languages like C\, C++\, or Java\, learning Python is relatively easy. This is one of the reasons why Python is preferable as the language of choice to learn a computer program. \nThis workshop offers practical experience in learning Python\, especially for the beginners. By the end of the workshop\, the participants will be able to write simple scripts\, understand Python modules\, and manage packages. \nObjectives \n\nExplore command line executions vs Jupyter Notebooks\nUnderstand how to use data structures – variables\, lists\, and dictionaries\nConstruct loops for repeated task executions\nCreate functions for reusing code blocks\nUnderstand Python modules\nManage and install Python packages\n\nIf you have questions or need help\, please email Bala Desinghu. \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. \nRegister to attend the workshop:\n\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-python-5-5-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230516T080000
DTEND;TZID=America/New_York:20230517T190000
DTSTAMP:20260424T031854
CREATED:20230217T180615Z
LAST-MODIFIED:20230217T201121Z
UID:8430-1684224000-1684350000@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-5-16-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230620T080000
DTEND;TZID=America/New_York:20230621T190000
DTSTAMP:20260424T031854
CREATED:20230217T181247Z
LAST-MODIFIED:20230217T200933Z
UID:8434-1687248000-1687374000@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-6-20-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230707T130000
DTEND;TZID=America/New_York:20230707T160000
DTSTAMP:20260424T031854
CREATED:20230124T210550Z
LAST-MODIFIED:20230124T210556Z
UID:8251-1688734800-1688745600@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nMachine learning (ML) methods are widely adopted by the academia and industry for applications in science\, engineering\, healthcare\, and humanities. One of the greatest advantages of ML is that they are pretty general and applicable for predictive analytics in many fields. For example\, if someone learned how to apply ML methods to classify animal images\, they can apply the same set of protocols in classifying birds or cars or motorboats. To apply ML for a specific problem\, the practitioners don’t have to go through all the complex mathematics or a lot of statistics but they need to learn the best practices to train and validate the models. \nIn this workshop\, after a brief overview\, we will focus on doing hands-on training in applying ML models on various data types including image\, text\, and time series. We will work through the use cases of classification and regression problems and discuss where to apply supervised or unsupervised methods. \nObjectives of the workshop \n\nUnderstand supervised and unsupervised methods\nDefine metrics for classification vs regression\nFind out which features are important in a given dataset\nLearn to apply ML models such as Decision Trees\, Random Forest\, and Support Vector Machines\nPerform clustering and dimensionality reductions (PCA\, t-sne\, K-means\, etc.)\nSearch the parameter space – hyperparameter optimization\n\nIf you have questions or need help\, please email Bala Desinghu. \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. \n\nRegister to attend the workshop:\n\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit-7-7-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230718T080000
DTEND;TZID=America/New_York:20230719T190000
DTSTAMP:20260424T031854
CREATED:20230217T181939Z
LAST-MODIFIED:20230217T200841Z
UID:8438-1689667200-1689793200@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-7-18-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230804T130000
DTEND;TZID=America/New_York:20230804T160000
DTSTAMP:20260424T031854
CREATED:20230126T211515Z
LAST-MODIFIED:20230126T212556Z
UID:8259-1691154000-1691164800@oarc.rutgers.edu
SUMMARY:Python for Big Data
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: In recent years\, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity\, readability\, portability\, etc.\, However\, Python is slow compared to C or Fortran\, and it does not manage memory well. These limitations\, with speed and memory management\, may not be significant when analyzing small datasets\, but they become bottlenecks when analyzing big datasets. \nTo address the challenges associated with big data analytics\, the Python community developed and tested several techniques. In this workshop\, we will go through some of these techniques including vectorization\, parallelization\, just in time compilation\, and distributed task executions. We will do hands-on exercises to emphasize the following solutions. \nObjectives \n\nHow to speed up the data analysis?\nWhat to do when the data set size exceeds the available physical memory?\nHow to distribute the workloads when doing machine learning for big data sets?\n\nIf you have questions or need help\, please email Bala Desinghu. \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. \nRegister to attend the workshop: \n \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/python-for-big-data-part-8-4-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230815T080000
DTEND;TZID=America/New_York:20230816T190000
DTSTAMP:20260424T031854
CREATED:20230217T182422Z
LAST-MODIFIED:20230217T200519Z
UID:8442-1692086400-1692212400@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-8-15-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230901T130000
DTEND;TZID=America/New_York:20230901T160000
DTSTAMP:20260424T031854
CREATED:20230126T213920Z
LAST-MODIFIED:20230126T214343Z
UID:8268-1693573200-1693584000@oarc.rutgers.edu
SUMMARY:Intro to the Amarel 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 fast-paced 2-hour 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. \nIf you have questions or need help\, please email bala.desinghu@rutgers.edu \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. \n \nRegister to attend the workshop: \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-the-amarel-cluster-9-1-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230919T080000
DTEND;TZID=America/New_York:20230920T190000
DTSTAMP:20260424T031854
CREATED:20230217T182848Z
LAST-MODIFIED:20230217T200357Z
UID:8445-1695110400-1695236400@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-9-19-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230927T120000
DTEND;TZID=America/New_York:20230927T131500
DTSTAMP:20260424T031854
CREATED:20230911T143745Z
LAST-MODIFIED:20230911T161139Z
UID:9090-1695816000-1695820500@oarc.rutgers.edu
SUMMARY:Introduction to GIS with ArcPro
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions.In this short\, interactive workshop\, we will focus on GIS concepts and ArcGIS Pro basics. We’ll explore the interface\, add and visualize data\, create a map layout which we can either export as a PDF or share as a web map. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \nPlease also download the ArcGIS Pro application. This software requires a Microsoft Windows operating system. Details and information for installing the application may be found at the University Software Portal. \nThe 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/introduction-to-gis-with-arcpro-9-27-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231004T120000
DTEND;TZID=America/New_York:20231004T131500
DTSTAMP:20260424T031854
CREATED:20230911T150258Z
LAST-MODIFIED:20230911T164053Z
UID:9095-1696420800-1696425300@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management Tools
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. \nMore information may be found at the University Software Portal. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/gis-joins-queries-data-management-tools-10-4-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231006T130000
DTEND;TZID=America/New_York:20231006T160000
DTSTAMP:20260424T031854
CREATED:20230126T214911Z
LAST-MODIFIED:20230126T215102Z
UID:8271-1696597200-1696608000@oarc.rutgers.edu
SUMMARY:Intro to Linux Command Line
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 workshop offers a brief introduction to using the Linux operating system\, focusing on command-line operations. The primary objective is to provide beginner-level familiarity with using a Linux system for common research computing tasks. Linux systems (e.g.\, workstations\, remote servers\, computing clusters) can be thought of as the foundation of research computing. \nIf you have questions or need help\, please email Bala Desinghu. \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. \nRegister to attend the workshop:\n  \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-linux-command-line-10-6-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231011T120000
DTEND;TZID=America/New_York:20231011T131500
DTSTAMP:20260424T031854
CREATED:20230911T151730Z
LAST-MODIFIED:20230911T152436Z
UID:9102-1697025600-1697030100@oarc.rutgers.edu
SUMMARY:Introduction to GIS with QGIS
DESCRIPTION: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 for your research by incorporating location when exploring questions. In this short\, interactive workshop\, we will cover basic GIS concepts using QGIS. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \nPlease make sure to download QGIS. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-qgis-10-11-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231017T080000
DTEND;TZID=America/New_York:20231018T190000
DTSTAMP:20260424T031854
CREATED:20230217T184913Z
LAST-MODIFIED:20230217T200308Z
UID:8448-1697529600-1697655600@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-10-17-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231017T130000
DTEND;TZID=America/New_York:20231017T143000
DTSTAMP:20260424T031854
CREATED:20210330T165342Z
LAST-MODIFIED:20231016T134005Z
UID:4675-1697547600-1697553000@oarc.rutgers.edu
SUMMARY:Network Analysis for Humanists
DESCRIPTION: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 make a network graph to show our findings. No prior experience with network analysis is required. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/10-17-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231018T120000
DTEND;TZID=America/New_York:20231018T131500
DTSTAMP:20260424T031854
CREATED:20220318T151234Z
LAST-MODIFIED:20231013T151957Z
UID:6886-1697630400-1697634900@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management
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\, queries\, selections\, and spatial data management. \nMake sure to register for an ArcGIS Online account before the start of the workshop: https://rutgers.maps.arcgis.com/home/index.html \nMore information may be found at the Rutgers Software Portal: https://software.rutgers.edu/product/3663 \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/10-18-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231019T100000
DTEND;TZID=America/New_York:20231019T113000
DTSTAMP:20260424T031854
CREATED:20220318T143955Z
LAST-MODIFIED:20231013T143543Z
UID:6873-1697709600-1697715000@oarc.rutgers.edu
SUMMARY:Network Analysis for Humanists
DESCRIPTION: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 make a network graph to show our findings. No prior experience with network analysis is required. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/10-19-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231019T133000
DTEND;TZID=America/New_York:20231019T150000
DTSTAMP:20260424T031854
CREATED:20220318T152338Z
LAST-MODIFIED:20231013T154435Z
UID:6893-1697722200-1697727600@oarc.rutgers.edu
SUMMARY:Machine Learning: Regression
DESCRIPTION:This workshop will give an introduction to machine learning methods with regression. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/10-19-2023/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231026T133000
DTEND;TZID=America/New_York:20231026T150000
DTSTAMP:20260424T031854
CREATED:20221007T190338Z
LAST-MODIFIED:20231013T172326Z
UID:7843-1698327000-1698332400@oarc.rutgers.edu
SUMMARY:Machine Learning: Neural Networks
DESCRIPTION:This workshop will give an introduction to machine learning methods with neural networks. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/10-26-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231102T133000
DTEND;TZID=America/New_York:20231102T150000
DTSTAMP:20260424T031854
CREATED:20221007T190909Z
LAST-MODIFIED:20231013T174619Z
UID:7850-1698931800-1698937200@oarc.rutgers.edu
SUMMARY:Machine Learning: Decision Trees and Random Forests
DESCRIPTION:This workshop will give an introduction to machine learning methods with decision trees and random forests. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \n​ \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/11-2-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231102T153000
DTEND;TZID=America/New_York:20231102T163000
DTSTAMP:20260424T031854
CREATED:20221007T191124Z
LAST-MODIFIED:20231013T205812Z
UID:7854-1698939000-1698942600@oarc.rutgers.edu
SUMMARY:Evidence Synthesis in the Social Sciences
DESCRIPTION:Systematic\, Scoping\, and Literature Reviews\, Oh My! An Introduction to Evidence Synthesis in the Social Sciences \nAre you a social science faculty member or graduate student interested in learning about systematic or scoping reviews? Are you curious about what these methods entail? This workshop is for you! \nEvidence synthesis methods are growing in popularity among social science disciplines\, but many faculty and students aren’t sure of the steps\, tools\, resources\, or types of methods used in an evidence synthesis project. This workshop will provide a broad overview of the concepts behind evidence synthesis\, so that you can approach future projects with confidence. \nYou will also have the opportunity to provide valuable feedback on this workshop\, which will inform future evidence synthesis library workshops and support. \nThis workshop is part of a series on Evidence Synthesis in the Social Sciences. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/11-2-23-systematic-scoping-literature-reviews/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231103T130000
DTEND;TZID=America/New_York:20231103T160000
DTSTAMP:20260424T031854
CREATED:20230126T220043Z
LAST-MODIFIED:20230126T221038Z
UID:8275-1699016400-1699027200@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nDeep learning (DL) outperforms Machine Learning (ML) in many applications such as  Computer Vision (CV) and Natural Language Processing (NLP).  In this workshop\, we will go through the basics of artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, Recurrent Neural Networks (RNN)\, and Transformers\, and focus on doing hands-on training to apply these DL models on image and text data for building predictive analytics.  \n\nObjective of the workshop\nUnderstand the basics of Artificial Neural Networks (ANN)\nPrepare image and text data suitable for the neural networks\nLearn how to apply various DL models such as ANN\, CNN\, RNN\, and Transformers\nImprove the accuracy of the model with hyperparameter optimization\n\nIf you have questions or need help\, please email Bala Desinghu. \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. \nRegister to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-11-3-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231108T100000
DTEND;TZID=America/New_York:20231108T180000
DTSTAMP:20260424T031854
CREATED:20231017T182853Z
LAST-MODIFIED:20231017T192710Z
UID:9218-1699437600-1699466400@oarc.rutgers.edu
SUMMARY:Big Ten Academic Alliance GIS Conference 2023
DESCRIPTION:Registration for the 2023 conference is now open! \nKeynote Speaker: Katie McDonough\, Alan Turing InstituteThe Conference Planning Committee is pleased to announce Katie McDonough as the 2023 BTAA GIS Conference Keynote Speaker\, presenting “Reading Maps: Making\, Searching\, and Interpreting Text on Maps”. \nMachine learning methods are transforming the ways that anyone can interact with map collections. Using the results of a computer vision pipeline to understand past places at scale comes with new challenges and opportunities. The Machines Reading Maps project has worked with partners at the Library of Congress\, the National Library of Scotland\, the British Library\, and also the David Rumsey Map Collection to create datasets of the text on large collections of digitized maps. This talk explores the results of the Machines Reading Maps project to date including our work in progress to\, on the one hand\, visualize and analyze the results for historical research\, and\, on the other\, use text on maps data to improve map collection discovery. \nPlease register to ensure that you receive the Zoom links and invitation \nRelated links:BTAA Geoportal \nBig Ten Academic Alliance Geospatial Information Network \n			\n				Register
URL:https://oarc.rutgers.edu/event/btaa-gis-conference-2023/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T133000
DTEND;TZID=America/New_York:20231109T150000
DTSTAMP:20260424T031854
CREATED:20221007T191440Z
LAST-MODIFIED:20231013T185512Z
UID:7858-1699536600-1699542000@oarc.rutgers.edu
SUMMARY:Machine Learning: Deep Learning and Convolutional Neural Networks
DESCRIPTION:This workshop will discuss Deep Learning and Convolutional Neural Networks as used in Machine Learning. \nSupplemental materials are available at https://libguides.rutgers.edu/datascience/python \n			\n				Register and learn more
URL:https://oarc.rutgers.edu/event/11-9-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231114T130000
DTEND;TZID=America/New_York:20231114T143000
DTSTAMP:20260424T031854
CREATED:20230201T201247Z
LAST-MODIFIED:20231013T212030Z
UID:8336-1699966800-1699972200@oarc.rutgers.edu
SUMMARY:Collecting Newspaper Data Programmatically Using R
DESCRIPTION:In this introductory workshop\, we will access historical and current newspaper data via web APIs using the programming language R. We will use freely available newspaper data from the Library of Congress’s Chronicling America website and the New York Times Developer Portal. We will generate dataframes and create some simple data visualizations from downloaded data. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/11-14-23/
CATEGORIES:Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231115T163000
DTEND;TZID=America/New_York:20231115T183000
DTSTAMP:20260424T031854
CREATED:20221007T192118Z
LAST-MODIFIED:20231013T212133Z
UID:7867-1700065800-1700073000@oarc.rutgers.edu
SUMMARY:Mapathon for Humanitarian Relief
DESCRIPTION:Location: Hatchery Innovation Studio in Alexander LibraryCelebrate GIS Day and Geography Awareness week! Together with fellow Rutgers students\, staff and faculty\, you will contribute geospatial data to OpenStreetMap\, a free and editable map of the world that is used by communities\, organizations and governments worldwide to address local development challenges and aid disaster response. Our project will be decided closer to the date. In past years\, Rutgers students\, staff\, and faculty worked together on a mapping project to help NGO efforts with relief operations in Puerto Rico\, the Democratic Republic of the Congo and Tanzania. No mapping experience or knowledge is necessary. Training will be provided. Join at any time during the scheduled event!We will use the Humanitarian OpenStreetMap platform to contribute data. The selected project will be appropriate for beginners. If you’re looking for a head start\, sign up for a HOTOSM account and check out these online tutorials about HOTOSM and their iD editor: \n\nHOTOSM account and click ‘Sign Up’\n“The iD Editor”\nHumanitarian OpenStreetMap Two Minute Tutorials\n\n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/11-15-23/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231116T100000
DTEND;TZID=America/New_York:20231116T113000
DTSTAMP:20260424T031854
CREATED:20231016T140736Z
LAST-MODIFIED:20231016T142023Z
UID:9342-1700128800-1700134200@oarc.rutgers.edu
SUMMARY:Collecting Newspaper Data Programmatically Using R
DESCRIPTION:In this introductory workshop\, we will access historical and current newspaper data via web APIs using the programming language R. We will use freely available newspaper data from the Library of Congress’s Chronicling America website and the New York Times Developer Portal. We will generate dataframes and create some simple data visualizations from downloaded data. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/collecting-newspaper-data-programmatically-using-r/
CATEGORIES:Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231121T080000
DTEND;TZID=America/New_York:20231122T190000
DTSTAMP:20260424T031854
CREATED:20230217T194152Z
LAST-MODIFIED:20230217T200246Z
UID:8451-1700553600-1700679600@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION: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. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-11-21-23/
END:VEVENT
END:VCALENDAR