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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:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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DTSTART:20221106T060000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220419T080000
DTEND;TZID=America/New_York:20220420T190000
DTSTAMP:20260424T222509
CREATED:20220105T213817Z
LAST-MODIFIED:20220105T213826Z
UID:6329-1650355200-1650481200@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 (one week earlier)\nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-4-19-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220422T140000
DTEND;TZID=America/New_York:20220422T170000
DTSTAMP:20260424T222509
CREATED:20220401T145307Z
LAST-MODIFIED:20221128T155304Z
UID:6954-1650636000-1650646800@oarc.rutgers.edu
SUMMARY:AI for Protein Design - AlphaFold2 and RoseTTAFold
DESCRIPTION:Amarel 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. \nWorkshop content: This workshop will present a broad overview and hands-on session on how Artificial Intelligence/Machine Learning (AI/ML) methods are being used for de novo protein structure prediction and provide hands-on experience with both AlphaFold2 and RoseTTAFold. \n**Note** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please email Bala Desinghu.
URL:https://oarc.rutgers.edu/event/ai-for-protein-design-4-22-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220506T140000
DTEND;TZID=America/New_York:20220506T170000
DTSTAMP:20260424T222509
CREATED:20220401T152600Z
LAST-MODIFIED:20221128T155427Z
UID:6972-1651845600-1651856400@oarc.rutgers.edu
SUMMARY:Intro to the Amarel Cluster
DESCRIPTION:Amarel 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. \nWorkshop content: This fast-paced 3-hour short course offers a brief introduction to using a Linux cluster. The goal is to help 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. \n**Note** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please email Bala Desinghu.
URL:https://oarc.rutgers.edu/event/intro-to-the-amarel-cluster-5-6-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220513T140000
DTEND;TZID=America/New_York:20220513T170000
DTSTAMP:20260424T222509
CREATED:20220401T162836Z
LAST-MODIFIED:20221128T155456Z
UID:6977-1652450400-1652461200@oarc.rutgers.edu
SUMMARY:Intro to Linux Command Line
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: This 3-hour 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. \n**Note** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please email Bala Desinghu. \nRegister to attend the workshop:
URL:https://oarc.rutgers.edu/event/intro-to-linux-command-line-5-13-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220517T080000
DTEND;TZID=America/New_York:20220518T190000
DTSTAMP:20260424T222509
CREATED:20220105T213936Z
LAST-MODIFIED:20220105T215508Z
UID:6331-1652774400-1652900400@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12\nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-5-17-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220520T140000
DTEND;TZID=America/New_York:20220520T170000
DTSTAMP:20260424T222509
CREATED:20220401T175734Z
LAST-MODIFIED:20221128T155523Z
UID:5630-1653055200-1653066000@oarc.rutgers.edu
SUMMARY:Intro to Python
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: This three hour workshop focuses on learning the basics of python programming including data types\, conditionals\, functions\, and python in HPC environment. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/intro-to-python-5-20-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220527T140000
DTEND;TZID=America/New_York:20220527T170000
DTSTAMP:20260424T222509
CREATED:20220401T182137Z
LAST-MODIFIED:20221128T155558Z
UID:7002-1653660000-1653670800@oarc.rutgers.edu
SUMMARY:Data Visualization with Python
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: This workshop provides hands-on training on how to utilize packages like numpy\, pandas\, matplotlib\, plotly\, etc. to store\, process\, and visualize data. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/data-visualization-with-python-5-27-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220603T140000
DTEND;TZID=America/New_York:20220603T170000
DTSTAMP:20260424T222509
CREATED:20220401T175550Z
LAST-MODIFIED:20221128T155630Z
UID:6989-1654264800-1654275600@oarc.rutgers.edu
SUMMARY:Python for Big Data
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: This three hour workshop focuses on learning the python tools and techniques to work with big data that demand CPU and memory.  It covers the basics of Numpy\, Pandas\, Numba\, and Dask. \n**Note** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/python-for-big-data-6-3-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220610T140000
DTEND;TZID=America/New_York:20220610T170000
DTSTAMP:20260424T222509
CREATED:20220401T175645Z
LAST-MODIFIED:20221128T155752Z
UID:6992-1654869600-1654880400@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit-Learn
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: In this three hour workshop\, we will go through the basics of unsupervised and supervised methods\, discuss some of the popular models such as Support Vector Machines\, Decision Trees\, and Random Forest\, and show how these models work for classification and regression problems. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit-learn-6-10-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220615T140000
DTEND;TZID=America/New_York:20220615T170000
DTSTAMP:20260424T222509
CREATED:20220401T180933Z
LAST-MODIFIED:20221128T155836Z
UID:6998-1655301600-1655312400@oarc.rutgers.edu
SUMMARY:Deep Learning with Python and Keras
DESCRIPTION:Amarel account: Apply here as soon as possible. \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. \nWorkshop content: This three hour workshop focuses on learning the basics of Deep Learning with Python and Keras including data preparation\, artificial neural networks (ANN)\, Convolutional Neural Networks (CNN)\, and Recurrent Neural Networks (RNN). \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-6-15-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220621T080000
DTEND;TZID=America/New_York:20220622T190000
DTSTAMP:20260424T222509
CREATED:20220105T214237Z
LAST-MODIFIED:20220105T215229Z
UID:6333-1655798400-1655924400@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-6-21-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220719T080000
DTEND;TZID=America/New_York:20220720T190000
DTSTAMP:20260424T222509
CREATED:20220105T215738Z
LAST-MODIFIED:20220105T215746Z
UID:6344-1658217600-1658343600@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-7-19-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220816T080000
DTEND;TZID=America/New_York:20220817T190000
DTSTAMP:20260424T222509
CREATED:20220105T215944Z
LAST-MODIFIED:20220105T215952Z
UID:6346-1660636800-1660762800@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-8-16-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220902T140000
DTEND;TZID=America/New_York:20220902T160000
DTSTAMP:20260424T222509
CREATED:20220809T163955Z
LAST-MODIFIED:20230124T170028Z
UID:7393-1662127200-1662134400@oarc.rutgers.edu
SUMMARY:Intro to the Amarel Cluster
DESCRIPTION:Workshop 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.
URL:https://oarc.rutgers.edu/event/intro-to-the-amarel-cluster-9-2-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220915T094500
DTEND;TZID=America/New_York:20220916T170000
DTSTAMP:20260424T222509
CREATED:20220912T191839Z
LAST-MODIFIED:20220912T200031Z
UID:7598-1663235100-1663347600@oarc.rutgers.edu
SUMMARY:Exploring Japanese Cultural Heritage Collections with AI Workshops
DESCRIPTION:What hidden voices could be found in archival collections using Artificial Intelligence (AI)? Who else’s stories could be told? \nRutgers University and Durham University UK will be holding two joint workshops to investigate how AI can be used to help us make sense of our archival collections\, especially those that relate to Japan in Meiji Period (the late nineteenth century). Both events are in-person only. \nThe Rutgers workshops\, held September 15–16\, are led by Special Collections and University Archives (SC/UA) and the Office of Advanced Research Computing (OARC) in association with the department of Asian Languages and Cultures. \n			\n				More information and registration
URL:https://oarc.rutgers.edu/event/exploring-japanese-cultural-heritage-collections-with-ai-day-one/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220920T080000
DTEND;TZID=America/New_York:20220921T190000
DTSTAMP:20260424T222509
CREATED:20220105T220112Z
LAST-MODIFIED:20220105T220207Z
UID:6348-1663660800-1663786800@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-9-20-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220922T140000
DTEND;TZID=America/New_York:20220922T160000
DTSTAMP:20260424T222509
CREATED:20220809T183034Z
LAST-MODIFIED:20221128T161441Z
UID:7401-1663855200-1663862400@oarc.rutgers.edu
SUMMARY:Intro to Linux Command Line - Part 1
DESCRIPTION:Workshop 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.
URL:https://oarc.rutgers.edu/event/intro-to-linux-command-line-9-22-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220923T140000
DTEND;TZID=America/New_York:20220923T160000
DTSTAMP:20260424T222509
CREATED:20220809T185253Z
LAST-MODIFIED:20221128T161651Z
UID:7408-1663941600-1663948800@oarc.rutgers.edu
SUMMARY:Intro to Linux Command Line - Part 2
DESCRIPTION:Workshop 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.
URL:https://oarc.rutgers.edu/event/intro-to-linux-command-line-9-23-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221007T140000
DTEND;TZID=America/New_York:20221007T160000
DTSTAMP:20260424T222509
CREATED:20220809T190833Z
LAST-MODIFIED:20221128T161958Z
UID:7416-1665151200-1665158400@oarc.rutgers.edu
SUMMARY:Intro to Python - Part 1
DESCRIPTION:Python 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.
URL:https://oarc.rutgers.edu/event/intro-to-python-10-7-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221014T140000
DTEND;TZID=America/New_York:20221014T160000
DTSTAMP:20260424T222509
CREATED:20220809T191805Z
LAST-MODIFIED:20221128T162050Z
UID:7423-1665756000-1665763200@oarc.rutgers.edu
SUMMARY:Intro to Python - Part 2
DESCRIPTION:Python 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.
URL:https://oarc.rutgers.edu/event/intro-to-python-10-14-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221018T080000
DTEND;TZID=America/New_York:20221019T190000
DTSTAMP:20260424T222509
CREATED:20220105T220339Z
LAST-MODIFIED:20220105T220346Z
UID:6350-1666080000-1666206000@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-10-18-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221025T100000
DTEND;TZID=America/New_York:20221025T120000
DTSTAMP:20260424T222509
CREATED:20221007T171211Z
LAST-MODIFIED:20221012T193902Z
UID:7828-1666692000-1666699200@oarc.rutgers.edu
SUMMARY:Molecular Operating Environment (MOE) user training session 2
DESCRIPTION:OARC in collaboration with Chemical Computing Group (CCG)\, continue MOE training sessions. \nSession 1 was completed at the end of May\, 2022. \nSession 2 is scheduled for Tuesday\, Oct 25\, 2022 10:00 AM ET.  \n\nSession 2 will focus on Advanced Structure-Based Design:\n\npharmacophore modeling\ndocking\nfragment-based design\nscaffold replacement\nR-group screening\nproject search\nprotein-ligand interaction fingerprints (PLIF)\n\n\n\nThis hands-on webinar can be followed with MOE installed on Amarel cluster or you may install it on your own computer from the Rutgers Software Portal. \nAlternatively you may listen to the presenters during the webinar and repeat tutorials later on your own. \nIf interested\, please register here. \nIf you have any questions or need help please email Vlad Kholodovych at OARC or Mauricio Rodriguez\, Academic Services Manager at Chemical Computing Group.
URL:https://oarc.rutgers.edu/event/molecular-operating-environment-moe-user-training-session-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221028T140000
DTEND;TZID=America/New_York:20221028T160000
DTSTAMP:20260424T222509
CREATED:20220809T193031Z
LAST-MODIFIED:20221128T162259Z
UID:7429-1666965600-1666972800@oarc.rutgers.edu
SUMMARY:Data Visualization with Python - Part 1
DESCRIPTION:Workshop content: This workshop provides hands-on training on how to utilize packages like numpy\, pandas\, matplotlib\, plotly\, etc. to store\, process\, and visualize data. \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:
URL:https://oarc.rutgers.edu/event/data-visualization-with-python-10-28-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T140000
DTEND;TZID=America/New_York:20221104T160000
DTSTAMP:20260424T222509
CREATED:20220809T193448Z
LAST-MODIFIED:20221128T162337Z
UID:7435-1667570400-1667577600@oarc.rutgers.edu
SUMMARY:Data Visualization with Python - Part 2
DESCRIPTION:Workshop content: This workshop provides hands-on training on how to utilize packages like numpy\, pandas\, matplotlib\, plotly\, etc. to store\, process\, and visualize data. \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.
URL:https://oarc.rutgers.edu/event/data-visualization-with-python-11-4-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T140000
DTEND;TZID=America/New_York:20221111T160000
DTSTAMP:20260424T222509
CREATED:20220809T195251Z
LAST-MODIFIED:20221128T162518Z
UID:7440-1668175200-1668182400@oarc.rutgers.edu
SUMMARY:Python for Big Data - Part 1
DESCRIPTION:Workshop 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.
URL:https://oarc.rutgers.edu/event/python-for-big-data-11-11-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T160000
DTEND;TZID=America/New_York:20221116T180000
DTSTAMP:20260424T222509
CREATED:20221103T141457Z
LAST-MODIFIED:20221103T141958Z
UID:7979-1668614400-1668621600@oarc.rutgers.edu
SUMMARY:Rutgers Humanitarian GIS Day Mapathon
DESCRIPTION:Mapathon on GIS (geographic information systems) Day during National Geography Awareness Week\, allows students to help create maps of high vulnerability areas where data is scarce\, enabling disaster responders to reach those in need. \n			\n				More information and registration
URL:https://oarc.rutgers.edu/event/rutgers-humanitarian-gis-day-mapathon/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221118T140000
DTEND;TZID=America/New_York:20221118T160000
DTSTAMP:20260424T222510
CREATED:20220809T200406Z
LAST-MODIFIED:20221128T162625Z
UID:7448-1668780000-1668787200@oarc.rutgers.edu
SUMMARY:Python for Big Data - Part 2
DESCRIPTION:Workshop 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.
URL:https://oarc.rutgers.edu/event/python-for-big-data-11-18-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221202T140000
DTEND;TZID=America/New_York:20221202T160000
DTSTAMP:20260424T222510
CREATED:20220809T201038Z
LAST-MODIFIED:20221209T164514Z
UID:7455-1669989600-1669996800@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit - Part 1
DESCRIPTION:Machine 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.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit-12-2-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T140000
DTEND;TZID=America/New_York:20221209T160000
DTSTAMP:20260424T222510
CREATED:20220809T202902Z
LAST-MODIFIED:20220809T202910Z
UID:7460-1670594400-1670601600@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit - Part 2
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. \nRegister to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit-12-9-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221220T080000
DTEND;TZID=America/New_York:20221221T190000
DTSTAMP:20260424T222510
CREATED:20220105T220510Z
LAST-MODIFIED:20220105T220612Z
UID:6352-1671523200-1671649200@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Each maintenance period is expected to begin at about 08:00 ET on the first day and end by about 19:00 ET on the 2nd day. \n2022 anticipated maintenance schedule (all dates subject to change):\nJAN 11 & 12 \nFEB 15 & 16\nMAR 15 & 16\nAPR 19 & 20\nMAY 17 & 18\nJUN 21 & 22\nJUL 19 & 20\nAUG 16 & 17\nSEP 20 & 21\nOCT 18 & 19\nNOV 15 & 16\nDEC 20 & 21 \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-12-20-22/
END:VEVENT
END:VCALENDAR