BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN CALSCALE:GREGORIAN 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 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 BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20220719T080000 DTEND;TZID=America/New_York:20220720T190000 DTSTAMP:20260423T022343 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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:20260423T022344 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 BEGIN:VEVENT DTSTART;TZID=America/New_York:20230113T140000 DTEND;TZID=America/New_York:20230113T160000 DTSTAMP:20260423T022344 CREATED:20220809T203144Z LAST-MODIFIED:20220809T203154Z UID:7466-1673618400-1673625600@oarc.rutgers.edu SUMMARY:Deep Learning with Python and Keras - Part 1 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)\, and Recurrent Neural Networks (RNN)\, 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\, and RNN\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-1-13-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230120T140000 DTEND;TZID=America/New_York:20230120T160000 DTSTAMP:20260423T022344 CREATED:20220809T203619Z LAST-MODIFIED:20220810T152105Z UID:7472-1674223200-1674230400@oarc.rutgers.edu SUMMARY:Deep Learning with Python and Keras - 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. \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)\, and Recurrent Neural Networks (RNN)\, and focus on doing hands-on training to apply these DL models on image and text data for building predictive analytics. \nObjectives of the workshop \n\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\, and RNN\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-1-20-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230124T080000 DTEND;TZID=America/New_York:20230125T190000 DTSTAMP:20260423T022344 CREATED:20230217T165620Z LAST-MODIFIED:20230217T175306Z UID:8407-1674547200-1674673200@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/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230203T140000 DTEND;TZID=America/New_York:20230203T160000 DTSTAMP:20260423T022344 CREATED:20220809T203834Z LAST-MODIFIED:20220809T203911Z UID:7477-1675432800-1675440000@oarc.rutgers.edu SUMMARY:AI for Protein Design 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 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. \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/ai-for-protein-design-2-3-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230210T120000 DTEND;TZID=America/New_York:20230210T130000 DTSTAMP:20260423T022344 CREATED:20230201T184337Z LAST-MODIFIED:20230201T185014Z UID:8298-1676030400-1676034000@oarc.rutgers.edu SUMMARY:Introduction to Geographic Information System (GIS) with ArcGIS Online DESCRIPTION:In this short\, interactive workshop\, we will focus on ArcGIS Online basics\, explore the interface\, add and visualize data\, explore the analysis tools and share a web map. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/geographic-information-system-gis-arcgis-online-2-10-23/ CATEGORIES:Research END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230217T120000 DTEND;TZID=America/New_York:20230217T130000 DTSTAMP:20260423T022344 CREATED:20230201T185908Z LAST-MODIFIED:20230201T190118Z UID:8304-1676635200-1676638800@oarc.rutgers.edu SUMMARY:Geospatial Data in the Big Ten Academic Alliance (BTAA) Geoportal DESCRIPTION:The Big Ten Academic Alliance (BTAA) Geoportal is a discovery tool that connects scholars to regional geospatial resources including GIS datasets\, web services\, and digitized historical maps. Rutgers is a member of the BTAA Geopatial Information Network (BTAA-GIN) and contributes to this endeavor. \nIn this introductory workshop to the BTAA Geoportal\, we’ll explore the varieties of regional resources\, how to search the portal\, included documentation and support\, as well as discuss how the Geoportal might enhance your research. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/geospatial-data-in-the-big-ten-academic-alliance-btaa-geoportal-2-17-23/ CATEGORIES:Research END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230221T080000 DTEND;TZID=America/New_York:20230222T190000 DTSTAMP:20260423T022344 CREATED:20230217T171955Z LAST-MODIFIED:20230217T175613Z UID:8412-1676966400-1677092400@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-2-21-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230303T120000 DTEND;TZID=America/New_York:20230303T130000 DTSTAMP:20260423T022344 CREATED:20230201T192935Z LAST-MODIFIED:20230201T193915Z UID:8317-1677844800-1677848400@oarc.rutgers.edu SUMMARY:Intro to GIS with ArcGIS Online DESCRIPTION:In this short\, interactive workshop\, we will focus on ArcGIS Online basics\, explore the interface\, add and visualize data\, explore the analysis tools and share a web map. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-geographic-information-system-gis-with-arcgis-online-3-3-23/ CATEGORIES:Research END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230303T130000 DTEND;TZID=America/New_York:20230303T160000 DTSTAMP:20260423T022344 CREATED:20230124T170833Z LAST-MODIFIED:20230124T171525Z UID:8216-1677848400-1677859200@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\n Notice: JavaScript is required for this content. URL:https://oarc.rutgers.edu/event/intro-to-the-amarel-cluster-3-3-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230310T120000 DTEND;TZID=America/New_York:20230310T130000 DTSTAMP:20260423T022344 CREATED:20230201T194729Z LAST-MODIFIED:20230201T202419Z UID:8326-1678449600-1678453200@oarc.rutgers.edu SUMMARY:Intro to ESRI WebApps DESCRIPTION:In this short\, interactive workshop\, we will explore some of the web applications available through Environmental Systems Research Insitute (ESRI) and how they might facilitate and enhance the maps created and analysis performed in ArcGIS Online. \n \n Learn more and register URL:https://oarc.rutgers.edu/event/introduction-to-esri-webapps-3-10-23/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20230314T080000 DTEND;TZID=America/New_York:20230315T190000 DTSTAMP:20260423T022344 CREATED:20230217T174746Z LAST-MODIFIED:20230217T200839Z UID:8418-1678780800-1678906800@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-3-14-23/ END:VEVENT END:VCALENDAR