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:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251015T153000
DTEND;TZID=America/New_York:20251015T170000
DTSTAMP:20260417T160640
CREATED:20250328T200450Z
LAST-MODIFIED:20250915T141640Z
UID:11540-1760542200-1760547600@oarc.rutgers.edu
SUMMARY:R Data Wrangling with dplyr\, tidyr\, readr\, and more
DESCRIPTION:Some of the tidyverse’s most powerful features are its abilities to import\, filter\, and otherwise manipulate data.  This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-data-wrangling-with-dplyr-tidyr-readr-and-more-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251015T113000
DTEND;TZID=America/New_York:20251015T124500
DTSTAMP:20260417T160640
CREATED:20231218T125112Z
LAST-MODIFIED:20250915T140429Z
UID:9610-1760527800-1760532300@oarc.rutgers.edu
SUMMARY:ArcGIS StoryMaps\, WebApps and Dashboards
DESCRIPTION:Most people can relate to and understand “where” when sharing information. In this short\, interactive workshop\, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/arcgis-storymaps-webapps-dashboards/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251014T140000
DTEND;TZID=America/New_York:20251014T153000
DTSTAMP:20260417T160640
CREATED:20250110T185313Z
LAST-MODIFIED:20250915T161747Z
UID:11404-1760450400-1760455800@oarc.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:This workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. \nThe focus here is on implementing statistics using R\, with a comparison to Python techniques for accomplishing similar tasks. \nPart of the Data Topics series of workshops.\nWorkshop conducted via Zoom. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-analysis-2-statistical-tests-sampling-bootstrap-and-more-comparison-with-python/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251013T120000
DTEND;TZID=America/New_York:20251013T130000
DTSTAMP:20260417T160640
CREATED:20240118T203105Z
LAST-MODIFIED:20251007T181308Z
UID:9743-1760356800-1760360400@oarc.rutgers.edu
SUMMARY:Data science basics: introduction to Python (without the scary)
DESCRIPTION:Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn\, and it’s used everywhere\, from apps to automation to data analysis. In this workshop\, we’ll start with the basics\, step by step\, and show you how Python can be applied to everyday problems in a way that’s simple and practical. By the end\, you’ll not only run your first Python code but also understand how learning this language can open new opportunities in study\, work\, and beyond. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-science-basics-introduction-to-python/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251007T140000
DTEND;TZID=America/New_York:20251007T153000
DTSTAMP:20260417T160640
CREATED:20250110T205615Z
LAST-MODIFIED:20250915T140205Z
UID:11427-1759845600-1759851000@oarc.rutgers.edu
SUMMARY:R for data analysis: A tidyverse approach
DESCRIPTION:This session introduces the R statistical software environment\, basic methods of data analysis\, and the “tidyverse.” While R is much more than the tidyverse\, the development of the tidyverse packages\, led by RStudio\, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-data-analysis-a-tidyverse-approach-3/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251007T113000
DTEND;TZID=America/New_York:20251007T130000
DTSTAMP:20260417T160640
CREATED:20250110T211614Z
LAST-MODIFIED:20250915T155845Z
UID:11431-1759836600-1759842000@oarc.rutgers.edu
SUMMARY:ArcGIS StoryMaps\, WebApps and Dashboards
DESCRIPTION:Most people can relate to and understand “where” when sharing information. In this short\, interactive workshop\, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. \n*Make sure to register for an ArcGIS Online account before the start of the workshop. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/arcgis-storymaps-webapps-and-dashboards/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251001T153000
DTEND;TZID=America/New_York:20251001T170000
DTSTAMP:20260417T160640
CREATED:20250113T220816Z
LAST-MODIFIED:20250915T134620Z
UID:11467-1759332600-1759338000@oarc.rutgers.edu
SUMMARY:Data Visualization 2 (interactive visualizations with Shiny\, including hosting a Shiny server)
DESCRIPTION:Creating interactive visualizations with Shiny in RStudio\, and delivering Shiny visualizations on the web and hosting a Shiny server. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-visualization-2-interactive-visualizations-with-shiny-including-hosting-a-shiny-server-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250930T130000
DTEND;TZID=America/New_York:20250930T141500
DTSTAMP:20260417T160640
CREATED:20230908T203436Z
LAST-MODIFIED:20250915T155929Z
UID:9070-1759237200-1759241700@oarc.rutgers.edu
SUMMARY:Introduction to GIS with ArcGIS Online
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. \nIn this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \n*Make sure to register for an ArcGIS Online account before the start of the workshop \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-online-9-30-25/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T153000
DTEND;TZID=America/New_York:20250924T170000
DTSTAMP:20260417T160640
CREATED:20250113T214157Z
LAST-MODIFIED:20250915T133145Z
UID:11457-1758727800-1758733200@oarc.rutgers.edu
SUMMARY:R graphics with ggplot2
DESCRIPTION:The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework.  This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages\, structure\, syntax)\, but the presentation can be followed without this background. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-graphics-with-ggplot2-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250924T113000
DTEND;TZID=America/New_York:20250924T124500
DTSTAMP:20260417T160640
CREATED:20230911T130914Z
LAST-MODIFIED:20250915T155353Z
UID:9076-1758713400-1758717900@oarc.rutgers.edu
SUMMARY:Introduction to GIS with ArcGIS Online
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. In this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \nMake sure to register for an ArcGIS Online account before the start of the workshop \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-online-9-24-25/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250917T153000
DTEND;TZID=America/New_York:20250917T170000
DTSTAMP:20260417T160640
CREATED:20250113T173740Z
LAST-MODIFIED:20250915T154728Z
UID:11439-1758123000-1758128400@oarc.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:This workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. The focus here is on implementing statistics using R\, with a comparison to Python techniques for accomplishing similar tasks. \nPart of the Data Topics series of workshops.\nWorkshop conducted via Zoom.  \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-analysis-2-statistical-tests-sampling-bootstrap-and-more-comparison-with-python-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250424T150000
DTEND;TZID=America/New_York:20250424T163000
DTSTAMP:20260417T160640
CREATED:20250328T204307Z
LAST-MODIFIED:20250328T204820Z
UID:11554-1745506800-1745512200@oarc.rutgers.edu
SUMMARY:R for reproducible scientific documents: knitr\, rmarkdown\, and beyond
DESCRIPTION:The RStudio environment enables the easy creation of documents in various formats (HTML\, DOC\, PDF) using Rmarkdown\, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-reproducible-scientific-documents-knitr-rmarkdown-and-beyond/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250414T140000
DTEND;TZID=America/New_York:20250414T153000
DTSTAMP:20260417T160640
CREATED:20250328T183238Z
LAST-MODIFIED:20250328T200332Z
UID:11532-1744639200-1744644600@oarc.rutgers.edu
SUMMARY:Building intelligent recommendation systems
DESCRIPTION:Dive into the fascinating world of recommender systems\, the backbone of personalized experiences in today’s digital age. In this workshop\, you’ll uncover how platforms like Netflix\, Amazon\, and Spotify predict what users want. Participants will gain insights into popular algorithms\, including collaborative and content-based filtering\, and apply these techniques to create intelligent recommendation solutions. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/building-intelligent-recommendation-systems/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250407T140000
DTEND;TZID=America/New_York:20250407T153000
DTSTAMP:20260417T160640
CREATED:20250328T182208Z
LAST-MODIFIED:20250328T203106Z
UID:11526-1744034400-1744039800@oarc.rutgers.edu
SUMMARY:Generative AI applications with AI agents
DESCRIPTION:This workshop explores the integration of generative AI with autonomous agents to create innovative applications that can solve problems\, automate tasks\, and enhance creativity. Participants will learn how generative AI agents combine language models\, tools\, and APIs to perform complex tasks independently. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/generative-ai-applications-with-ai-agents/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250402T140000
DTEND;TZID=America/New_York:20250402T153000
DTSTAMP:20260417T160640
CREATED:20250113T220152Z
LAST-MODIFIED:20250113T220429Z
UID:11464-1743602400-1743607800@oarc.rutgers.edu
SUMMARY:Data Publication 2 (publishing to data repositories and creating R packages)
DESCRIPTION:Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. \nPart of the Data Topics series of workshops\, this workshop first reviews repositories for data publication such as Dataverse\, ICPSR\, OSF\, Zenodo\, and more. Then we turn to a detailed discussion of building R packages. \nR Packages are an excellent way to distribute collections of data and code. Following on the release of the 2nd edition of Hadley Wickham’s R Packages book\, this workshop reviews the package creation process\, covering prerequisites\, the steps involved in creating a complete package\, and following up on documentation and testing. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-publication-2-publishing-to-data-repositories-and-creating-r-packages/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250331T140000
DTEND;TZID=America/New_York:20250331T153000
DTSTAMP:20260417T160640
CREATED:20250328T172458Z
LAST-MODIFIED:20250328T202732Z
UID:11518-1743429600-1743435000@oarc.rutgers.edu
SUMMARY:Large language models: From theory to implementation
DESCRIPTION:This workshop introduces the basics of Large Language Models (LLMs)\, covering their foundations\, capabilities\, and practical applications. Learn how to implement LLMs\, explore best practices\, and responsibly integrate them into real-world projects. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/large-language-models-from-theory-to-implementation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250326T120000
DTEND;TZID=America/New_York:20250326T131500
DTSTAMP:20260417T160640
CREATED:20250113T215208Z
LAST-MODIFIED:20250113T215443Z
UID:11461-1742990400-1742994900@oarc.rutgers.edu
SUMMARY:Introduction to GIS with QGIS
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. \nIn this short\, interactive workshop\, we will focus on the open source geographic information system: QGIS3. We will explore the interface\, add and visualize data\, create a map layout\, explore plugins and support. Previous knowledge of GIS is not expected. \nPlease make sure to download QGIS here: \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-qgis-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250312T140000
DTEND;TZID=America/New_York:20250312T153000
DTSTAMP:20260417T160640
CREATED:20250113T212216Z
LAST-MODIFIED:20250113T212548Z
UID:11447-1741788000-1741793400@oarc.rutgers.edu
SUMMARY:R for reproducible scientific documents: knitr\, rmarkdown\, and beyond
DESCRIPTION:The RStudio environment enables the easy creation of documents in various formats (HTML\, DOC\, PDF) using Rmarkdown\, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-reproducible-scientific-documents-knitr-rmarkdown-and-beyond-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250311T120000
DTEND;TZID=America/New_York:20250311T131500
DTSTAMP:20260417T160640
CREATED:20250113T204906Z
LAST-MODIFIED:20250113T205959Z
UID:11443-1741694400-1741698900@oarc.rutgers.edu
SUMMARY:Introduction to GIS with ArcGIS Pro
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. \nIn this short\, interactive workshop\, we will focus on ArcGIS Pro basics\, explore the interface\, add and visualize data\, create a map layout which we can either export as a PDF or share as a web map. Previous knowledge of geographic information systems (GIS) is not expected. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \nPlease also download the ArcGIS Pro application. This requires a Microsoft Windows operating system. Details and information for installing the application may be found at the Rutgers Software Portal. The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log into ArcPro. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-gis-with-arcgis-pro-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250210T120000
DTEND;TZID=America/New_York:20250210T130000
DTSTAMP:20260417T160640
CREATED:20250110T194646Z
LAST-MODIFIED:20250110T194948Z
UID:11410-1739188800-1739192400@oarc.rutgers.edu
SUMMARY:Love Data Week!  Finding\, Creating and Working with GIS Data
DESCRIPTION:“Everything happens somewhere…” \nIn this short\, interactive workshop\, learn how spatial data might enhance your research. \nWe’ll explore free and proprietary GIS (geographic information systems) data resources\, search strategies to uncover available data; adapting public data for use\, review critical data literacy and the importance of attribution\, and discuss the process of building your own spatial datasets. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/love-data-week-finding-creating-and-working-with-gis-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250206T120000
DTEND;TZID=America/New_York:20250206T131500
DTSTAMP:20260417T160640
CREATED:20250110T191832Z
LAST-MODIFIED:20250110T192949Z
UID:11407-1738843200-1738847700@oarc.rutgers.edu
SUMMARY:Introduction to Geographic Information Systems (GIS) with ArcGIS Online
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \n  \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-geographic-information-systems-gis-with-arcgis-online-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250129T140000
DTEND;TZID=America/New_York:20250129T153000
DTSTAMP:20260417T160640
CREATED:20250110T181620Z
LAST-MODIFIED:20250110T182025Z
UID:11399-1738159200-1738164600@oarc.rutgers.edu
SUMMARY:R for data analysis: A tidyverse approach
DESCRIPTION:This session introduces the R statistical software environment\, basic methods of data analysis\, and the “tidyverse.” While R is much more than the tidyverse\, the development of the tidyverse packages\, led by RStudio\, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-data-analysis-a-tidyverse-approach-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250128T120000
DTEND;TZID=America/New_York:20250128T131500
DTSTAMP:20260417T160640
CREATED:20250110T180218Z
LAST-MODIFIED:20250110T180855Z
UID:11388-1738065600-1738070100@oarc.rutgers.edu
SUMMARY:Introduction to Geographic Information Systems (GIS) with ArcGIS Online
DESCRIPTION:A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring questions. In this short\, interactive workshop\, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface\, add and visualize data\, run a quick analysis\, and create and share a map. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \n  \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-geographic-information-systems-gis-with-arcgis-online/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241001T100000
DTEND;TZID=America/New_York:20241001T133000
DTSTAMP:20260417T160641
CREATED:20240910T203128Z
LAST-MODIFIED:20240918T153545Z
UID:11152-1727776800-1727789400@oarc.rutgers.edu
SUMMARY:AI Tools for your Research with Google Cloud Platform
DESCRIPTION:The Rutgers Office of Advanced Research Computing (OARC) invites you to an interactive workshop with Google Cloud to learn more about how to integrate AI tools into your research platform. Join us for presentations\, demos\, and hands-on labs facilitated by the Google Cloud team. \nNote: Registration for this workshop has reached capacity and is now closed.  \nDate: Tuesday\, October 1\, 2024 \nLocation (in-person only): Rutgers Newark Campus\nPaul Robeson Campus Center\nBergen Room\n350 Dr. Martin Luther King Jr. Blvd.\nNewark\, NJ 07102 \nParking: A special event parking link will be sent to non-Rutgers visitors in order to register your vehicle\, for a fee of $5.00 per registered vehicle. For Rutgers staff\, faculty\, and students\, you may park in the designated lots that your parking permit allows. \n\nWorkshop Agenda\n10:00–10:30 a.m.\nWelcome and introductions \n\nWelcome remarks from Google Cloud and Rutgers representatives\nIntroduction to the workshop and objectives\n\n10:30–11:00 a.m.\nGenAI use cases for higher ed/researchers presentation \n\nDemo: Generative AI (GenAI) for research grants — Use Google-like search to sift through thousands of available grants online and use GenAI to draft a personalized application response.\n\n11:00–11:45 a.m. \nGemini multi-modal capabilities \n\nHands-on lab: Qwiklabs — Gain hands-on experience with Gemini’s multimodal capabilities\, including detecting objects in photos\, understanding drawings\, charts and abstractions and reasoning across them.\n\n11:45 a.m.–12:30 p.m.\nIntroduction to Gemini and multi-modal capabilities \n\nDemo: Use Gemini to solve and reason through complex math and physics problems; understand nuance to detect errors even with handwritten problems.\nDemo: Watch Google’s latest Gemini model\, which has a 1 million token context window\, ingest and analyze a large video.\n\nVertex AI search and conversation \n\nHands-on lab: Qwiklabs — Build Vertex AI Search app. Ingest your internal docs/website and combine it with Google’s search and GenAI capabilities to provide relevant\, contextual answers grounded in factuality.\n\n12:30 p.m.–1:30 p.m.\nLunch\, Q&A\, and wrap-up \n\nOpen forum for participants to ask questions and discuss their specific needs and challenges\n\nWorkshop details and prerequisites\n \n\nWorkshop format: Presentation and hands-on lab sessions\nTarget audience: Faculty\, researchers\, staff and students looking to learn more about AI tools to improve their work.\nKnowledge prerequisites: None\nHardware/software prerequisites: Participants should bring a laptop with an up-to-date web browser.\nLearning objectives: Participants will learn how to use AI tools on Google Cloud Platform.\nPlease note: Attendees should have a laptop at this in-person event. Attendees will receive an email from Google a couple of days before the event to download a free trial version of Qwiklabs\, which is used during the workshop.\n\nIf you have questions or need help\, please email the Office of Advanced Research Computing at business@oarc.rutgers.edu.
URL:https://oarc.rutgers.edu/event/ai-tools-for-your-research-with-google-cloud-platform-october-2024/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240906T130000
DTEND;TZID=America/New_York:20240906T160000
DTSTAMP:20260417T160641
CREATED:20231219T184807Z
LAST-MODIFIED:20240904T204417Z
UID:9656-1725627600-1725638400@oarc.rutgers.edu
SUMMARY:Basics of Linux Command Line
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nWorkshop content: This workshop offers a brief introduction to using the Linux operating system\, focusing on command-line operations. The primary objective is to provide beginner-level familiarity with using a Linux system for common research computing tasks. Linux systems (e.g.\, workstations\, remote servers\, computing clusters) can be thought of as the foundation of research computing. \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. \nIf you have questions or need help\, please email Udi Zelzion. \nRegister to attend the workshop: \n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/basics-of-linux-command-line-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240610T100000
DTEND;TZID=America/New_York:20240610T130000
DTSTAMP:20260417T160641
CREATED:20240508T180734Z
LAST-MODIFIED:20240606T190057Z
UID:10616-1718013600-1718024400@oarc.rutgers.edu
SUMMARY:AI Tools for your Research with Google Cloud Platform
DESCRIPTION:The Rutgers Office of Advanced Research Computing (OARC) invites you to an interactive workshop with Google Cloud to learn more about how to integrate AI tools into your research platform. Join us for presentations\, demos\, and hands-on labs facilitated by the Google Cloud team. \nNote: Due to overwhelming demand for participation\, registration for this workshop is now closed. We are considering hosting a second workshop in the near future. \nDate: Monday\, June 10\, 2024 \nLocation: Rutgers Busch Campus — Richard Weeks Hall of Engineering building\, Room 206 \nParking:Visitors: Register your vehicle for special event parking permission in Lots 54\, 51B and 51.Rutgers staff\, faculty\, and students: You may park in the designated lots that your parking permit allows. \nWorkshop Agenda\n10:00–10:10 a.m.\nWelcome and introductions \n\nWelcome remarks from Google Cloud and Rutgers representatives\nIntroduction to the workshop and objectives\n\n10:10–10:25 a.m.\nGenAI use cases for higher ed/researchers presentation \n\nDemo: Generative AI (GenAI) for research grants — Use Google-like search to sift through thousands of available grants online and use GenAI to draft a personalized application response.\n\n10:25–11:10 a.m. \nGemini multi-modal capabilities \n\nHands-on lab: Qwiklabs — Gain hands-on experience with Gemini’s multimodal capabilities\, including detecting objects in photos\, understanding drawings\, charts and abstractions and reasoning across them.\n\n11:10 a.m.–noon\nIntroduction to Gemini and multi-modal capabilities \n\nDemo: Use Gemini to solve and reason through complex math and physics problems; understand nuance to detect errors even with handwritten problems.\nDemo: Watch Google’s latest Gemini model\, which has a 1 million token context window\, ingest and analyze a large video.\n\nVertex AI search and conversation \n\nHands-on lab: Qwiklabs — Build Vertex AI Search app. Ingest your internal docs/website and combine it with Google’s search and GenAI capabilities to provide relevant\, contextual answers grounded in factuality.\n\nNoon–1:00 p.m.\nLunch\, Q&A\, and wrap-up \n\nOpen forum for participants to ask questions and discuss their specific needs and challenges\n\nWorkshop details and prerequisites \n\nWorkshop format: Presentation and hands-on lab sessions\nTarget audience: Faculty\, researchers\, staff and students looking to learn more about AI tools to improve their work.\nKnowledge prerequisites: None\nHardware/software prerequisites: Participants should bring a laptop with an up-to-date web browser.\nLearning objectives: Participants will learn how to use AI tools on Google Cloud Platform.\nPlease note: Both in-person and virtual attendees should have a laptop. Attendees will receive an email from Google a couple of days before the event to download a free trial version of Qwiklabs\, which is used during the workshop.\n\nIf you have questions or need help\, please email the Office of Advanced Research Computing at business@oarc.rutgers.edu.
URL:https://oarc.rutgers.edu/event/ai-tools-for-your-research-with-google-cloud-platform/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240521T080000
DTEND;TZID=America/New_York:20240522T235900
DTSTAMP:20260417T160641
CREATED:20241212T215733Z
LAST-MODIFIED:20241212T220020Z
UID:9511-1716278400-1716422340@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Maintenance 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-13/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240503T130000
DTEND;TZID=America/New_York:20240503T160000
DTSTAMP:20260417T160641
CREATED:20231219T180054Z
LAST-MODIFIED:20231219T180811Z
UID:9643-1714741200-1714752000@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nMachine learning (ML) methods are widely adopted by the academia and industry for applications in science\, engineering\, healthcare\, and humanities. One of the greatest advantages of ML is that they are pretty general and applicable for predictive analytics in many fields. For example\, if someone learned how to apply ML methods to classify animal images\, they can apply the same set of protocols in classifying birds or cars or motorboats. To apply ML for a specific problem\, the practitioners don’t have to go through all the complex mathematics or a lot of statistics but they need to learn the best practices to train and validate the models. \nIn this workshop\, after a brief overview\, we will focus on doing hands-on training in applying ML models on various data types including image\, text\, and time series. We will work through the use cases of classification and regression problems and discuss where to apply supervised or unsupervised methods. \nObjective 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\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. \nIf you have questions or need help\, please email Bala Desinghu. \nRegister to attend the workshop:\n \n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240411T160000
DTEND;TZID=America/New_York:20240411T173000
DTSTAMP:20260417T160641
CREATED:20240119T143202Z
LAST-MODIFIED:20240119T144842Z
UID:9834-1712851200-1712856600@oarc.rutgers.edu
SUMMARY:Large language models and ChatGPT
DESCRIPTION:This workshop offers a thorough exploration of cutting-edge language models\, with a spotlight on ChatGPT. Attendees will delve into the design\, training techniques\, and practical uses of these models. Discussions on ethical usage and best practices will be a key part of the learning experience. By the workshop’s end\, participants will gain a deep understanding of large language models and how to effectively apply ChatGPT and similar technologies. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/large-language-models-and-chatgpt/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240404T160000
DTEND;TZID=America/New_York:20240404T173000
DTSTAMP:20260417T160641
CREATED:20240119T141747Z
LAST-MODIFIED:20240119T142433Z
UID:9822-1712246400-1712251800@oarc.rutgers.edu
SUMMARY:Deep dive into natural language processing
DESCRIPTION:Are you eager to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques\, or to make machines understand human sentiments? Do you aspire to build intelligent applications like Siri\, Alexa\, or chatbots\, even if you’re starting from scratch? This workshop introduces Natural Language Processing (NLP)\, teaching you to preprocess text\, analyze sentiments\, model topics\, and use language generation models. It’s perfect for anyone eager to build applications that interact naturally with human language. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/deep-dive-into-natural-language-processing/
END:VEVENT
END:VCALENDAR