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PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN
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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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TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
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TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210601T100000
DTEND;TZID=America/New_York:20210601T130000
DTSTAMP:20260409T141125
CREATED:20210511T150357Z
LAST-MODIFIED:20210511T150751Z
UID:4866-1622541600-1622552400@oarc.rutgers.edu
SUMMARY:Intro to Machine Learning with Python and Scikit-Learn
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel 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.\n\nRegister to attend the workshop:\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-machine-learning-with-python-and-scikit-learn-6-1-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210604T100000
DTEND;TZID=America/New_York:20210604T130000
DTSTAMP:20260409T141125
CREATED:20210414T151401Z
LAST-MODIFIED:20240920T192410Z
UID:4711-1622800800-1622811600@oarc.rutgers.edu
SUMMARY:Python for Big Data (Friday June 4)
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel 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.Register to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/python-for-big-data-06-04-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210607T100000
DTEND;TZID=America/New_York:20210607T123000
DTSTAMP:20260409T141125
CREATED:20210430T192613Z
LAST-MODIFIED:20220331T130438Z
UID:4807-1623060000-1623069000@oarc.rutgers.edu
SUMMARY:Intro to Amarel Cluster
DESCRIPTION:This event has passed. \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. \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 Paul Arias.
URL:https://oarc.rutgers.edu/event/intro-to-amarel-cluster-6-7-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210610T130000
DTEND;TZID=America/New_York:20210610T160000
DTSTAMP:20260409T141125
CREATED:20210510T204946Z
LAST-MODIFIED:20210510T204953Z
UID:4836-1623330000-1623340800@oarc.rutgers.edu
SUMMARY:Machine Learning Series by OARC — Random Forest Workshop
DESCRIPTION:Register to attend at the bottom of this page. A Zoom link will be emailed after filling out the the registration form. \nAmarel account: You need an Amarel account to participate in the lab section Apply here as soon as possible.\nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources.\nIf you have any questions\, please email Janet Chang at janet.chang@rutgers.edu \nTopics:\n1. Introduction to Machine Learning (ML) \n\nBig data and Machine Learning\nRelate Machine Learning to other disciplines\nMachine Learning algorithms\nClassification and Regression\n\n2. Understanding Random Forest (RF) \n\nApplications of Random Forests\nWhy Random Forests\nThe Random Forest Algorithm\nFundamental concepts – ML\, RF\n\n3. Implementing Random Forest \n\nFeature Importance and Feature Selection\nDealing with missing data\, and imbalanced data\nBest split of the node–node impurity\n\n\nOver-fitting and underfitting\nThe model performance\nThe model interpretability\n\n4. Lab Exercise \nWe will use health data combined with gene expression data to build random forest models\, predicting output variables. Both classifier and regressor will be addressed. \n \nTo Register: \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-series-by-oarc-random-forest-workshop-6-10-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210611T100000
DTEND;TZID=America/New_York:20210611T130000
DTSTAMP:20260409T141125
CREATED:20210414T153309Z
LAST-MODIFIED:20240920T192431Z
UID:4716-1623405600-1623416400@oarc.rutgers.edu
SUMMARY:Intro to Deep learning with Python and Keras (Friday June 11)
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nAmarel 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.Register to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-deep-learning-with-python-and-keras-06-11-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210615T080000
DTEND;TZID=America/New_York:20210616T190000
DTSTAMP:20260409T141125
CREATED:20210330T161537Z
LAST-MODIFIED:20210330T161544Z
UID:4644-1623744000-1623870000@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Anticipated monthly maintenance schedule March 2021 - January 2022: \nMAR 19-20-21 (3/20 & 3/21 Hill Data Center maintenance\, which will affect Amarel users)\nAPR 20-21\nMAY 18-19\nJUN 15-16\nJUL 20-21\nAUG 17-18\nSEP 21-22\nOCT 19-20\nNOV 16-17\nDEC 21-22\nJAN 18-19 \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-6-15-21/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210621T100000
DTEND;TZID=America/New_York:20210621T123000
DTSTAMP:20260409T141125
CREATED:20210430T193247Z
LAST-MODIFIED:20210430T194633Z
UID:4813-1624269600-1624278600@oarc.rutgers.edu
SUMMARY:Intro to Amarel Cluster
DESCRIPTION:Register to attend the workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \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. \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 Paul Arias. \nRegister to attend the workshop:\n\n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-amarel-cluster-6-21-21/
END:VEVENT
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