BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220603T140000
DTEND;TZID=America/New_York:20220603T170000
DTSTAMP:20260504T164218
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:20260504T164219
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:20260504T164219
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:20260504T164219
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
END:VCALENDAR