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X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250206T120000
DTEND;TZID=America/New_York:20250206T131500
DTSTAMP:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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:20260417T212721
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240328T160000
DTEND;TZID=America/New_York:20240328T173000
DTSTAMP:20260417T212721
CREATED:20240119T140301Z
LAST-MODIFIED:20240119T140634Z
UID:9815-1711641600-1711647000@oarc.rutgers.edu
SUMMARY:Introduction to deep learning
DESCRIPTION:This workshop offers an introduction to the fundamentals of deep learning\, a highly influential branch of artificial intelligence. This session focuses on the core concepts of neural networks\, including feedforward neural networks\, the simplest type of artificial neural network architecture. The course also covers convolutional neural networks (CNNs)\, essential for image and video recognition\, and recurrent neural networks (RNNs)\, which are crucial for handling sequential data like text and speech. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-deep-learning/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240321T160000
DTEND;TZID=America/New_York:20240321T173000
DTSTAMP:20260417T212721
CREATED:20240119T134818Z
LAST-MODIFIED:20240119T135025Z
UID:9806-1711036800-1711042200@oarc.rutgers.edu
SUMMARY:Introduction to machine learning: unsupervised learning
DESCRIPTION:This workshop is designed to introduce the concepts of unsupervised learning\, a branch of machine learning where algorithms infer patterns from unlabelled data. The course covers clustering methods like K-means and DBSCAN\, used to identify inherent groupings in data. It also explores dimensionality reduction techniques such as PCA\, which simplify complex data sets while preserving their key features. Additionally\, the session introduces association rules\, a method for finding interesting relationships within data sets. This workshop is ideal for those interested in learning how to extract insights from data without predetermined labels or categories. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-machine-learning-unsupervised-learning/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240319T150000
DTEND;TZID=America/New_York:20240319T163000
DTSTAMP:20260417T212721
CREATED:20240119T204100Z
LAST-MODIFIED:20240119T210212Z
UID:9879-1710860400-1710865800@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. \nThis 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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240307T160000
DTEND;TZID=America/New_York:20240307T173000
DTSTAMP:20260417T212721
CREATED:20240118T220939Z
LAST-MODIFIED:20240119T131346Z
UID:9790-1709827200-1709832600@oarc.rutgers.edu
SUMMARY:Introduction to machine learning: supervised learning
DESCRIPTION:This workshop is tailored for beginners in machine learning. It focuses on supervised learning algorithms that are a cornerstone of machine learning\, where the algorithm learns from labeled training data\, helping to predict outcomes for unforeseen data. Classification and Regression will be introduced. Participants will learn about key algorithms like Linear Regression and Decision Trees\, exploring how these methods enable machines to learn from and make predictions based on data. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/introduction-to-machine-learning-supervised-learning/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240305T150000
DTEND;TZID=America/New_York:20240305T163000
DTSTAMP:20260417T212721
CREATED:20240119T195047Z
LAST-MODIFIED:20240119T202833Z
UID:9874-1709650800-1709656200@oarc.rutgers.edu
SUMMARY:R for interactivity: an introduction to Shiny
DESCRIPTION:Shiny is an R package that enables the creation of interactive websites for data visualization. This session provides a brief overview of the Shiny framework and how to edit and publish Shiny sites in RStudio (with shinyapps.io). Familiarity with R/RStudio is assumed. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/r-for-interactivity-an-introduction-to-shiny/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240301T130000
DTEND;TZID=America/New_York:20240301T160000
DTSTAMP:20260417T212721
CREATED:20231219T171503Z
LAST-MODIFIED:20231219T172520Z
UID:9627-1709298000-1709308800@oarc.rutgers.edu
SUMMARY:Intro to Python
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nPython 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\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	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-python/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T160000
DTEND;TZID=America/New_York:20240229T173000
DTSTAMP:20260417T212721
CREATED:20240118T215034Z
LAST-MODIFIED:20240118T215419Z
UID:9782-1709222400-1709227800@oarc.rutgers.edu
SUMMARY:Mathematical foundations for data science
DESCRIPTION:This workshop offers a brief yet comprehensive overview of essential mathematics for data science. It covers foundational statistics and probability\, crucial for model understanding\, and basic hypothesis testing techniques. It also introduces linear algebra concepts like vectors and matrices\, alongside fundamental calculus for derivatives and integrals. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/mathematical-foundations-for-data-science/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240215T160000
DTEND;TZID=America/New_York:20240215T173000
DTSTAMP:20260417T212721
CREATED:20240118T213328Z
LAST-MODIFIED:20240118T214002Z
UID:9773-1708012800-1708018200@oarc.rutgers.edu
SUMMARY:Love Data Week! Unveiling Data Stories: Python for Visualization and Exploration
DESCRIPTION:This workshop is designed to guide participants through the process of revealing hidden stories in data using Python. It focuses on using Matplotlib and Seaborn\, two prominent visualization tools\, for effective exploratory data analysis (EDA). This workshop emphasizes the creation of engaging visual narratives\, enabling participants to transform complex data insights into compelling and understandable visual formats. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/love-dataweek-unveiling-data-stories-python-for-visualization-and-exploration/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240212T120000
DTEND;TZID=America/New_York:20240212T131500
DTSTAMP:20260417T212721
CREATED:20231218T124043Z
LAST-MODIFIED:20240118T201226Z
UID:9605-1707739200-1707743700@oarc.rutgers.edu
SUMMARY:Love Data Week!  Finding\, Creating and Working with GIS Data
DESCRIPTION:Location can play an important part in your research. “Everything happens somewhere…” \nIn this short\, interactive workshop\, we’ll learn about spatial data\, explore GIS (geographic information systems) data resources and search strategies\, review critical data literacy and attribution information\, and discuss building spatial datasets. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/love-data-week-working-with-gis-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T160000
DTEND;TZID=America/New_York:20240208T173000
DTSTAMP:20260417T212722
CREATED:20240118T212431Z
LAST-MODIFIED:20240118T212818Z
UID:9765-1707408000-1707413400@oarc.rutgers.edu
SUMMARY:Mastering data analysis: Pandas and NumPy essentials
DESCRIPTION:This workshop is designed to equip learners with powerful tools for data analysis in Python. Participants will delve into the world of NumPy\, exploring its efficient arrays and array operations\, which form the backbone of numerical computing in Python. The workshop then shifts to Pandas\, where learners will get hands-on experience with its fundamental data structures—Series and DataFrame. This comprehensive session is ideal for anyone looking to enhance their data analysis skills\, offering the tools needed to unlock insights from data with efficiency and precision. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/mastering-data-analysis-pandas-and-mumpy-essentials/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T120000
DTEND;TZID=America/New_York:20240208T131500
DTSTAMP:20260417T212722
CREATED:20231218T024037Z
LAST-MODIFIED:20231218T122816Z
UID:9598-1707393600-1707398100@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management Tools using ArcGIS Pro
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 work through various GIS data tools including data table join operations and spatial data management analyses. \nMake sure to register for an ArcGIS Online account before the start of the workshop. \nPlease also download the ArcGIS Pro application. Details and information for installing the application may be found at the Rutgers Software Portal. This requires a Microsoft Windows operating system. The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log in. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/gis-joins-queries-and-data-management-tools-using-arcgis-pro/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T120000
DTEND;TZID=America/New_York:20240207T131500
DTSTAMP:20260417T212722
CREATED:20231218T022437Z
LAST-MODIFIED:20231218T022833Z
UID:9592-1707307200-1707311700@oarc.rutgers.edu
SUMMARY:GIS Joins\, Queries and Data Management Tools using 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 work through various GIS data tools including data table join operations and spatial data management analyses. \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/gis-joins-queries-data-mgmt-tools-using-arcgisonline/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240206T150000
DTEND;TZID=America/New_York:20240206T163000
DTSTAMP:20260417T212722
CREATED:20240119T174508Z
LAST-MODIFIED:20250110T214518Z
UID:9852-1707231600-1707237000@oarc.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:Part of the Data Topics series of workshops.\, 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. \nSupplemental materials are available. \n			\n				Learn more and register
URL:https://oarc.rutgers.edu/event/data-analysis-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240202T130000
DTEND;TZID=America/New_York:20240202T160000
DTSTAMP:20260417T212722
CREATED:20231219T164821Z
LAST-MODIFIED:20231219T165755Z
UID:9619-1706878800-1706889600@oarc.rutgers.edu
SUMMARY:Intro to Amarel HPC 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 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. \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	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/intro-to-amarel-hpc-cluster/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240130T150000
DTEND;TZID=America/New_York:20240130T163000
DTSTAMP:20260417T212722
CREATED:20240119T145553Z
LAST-MODIFIED:20240119T155925Z
UID:9842-1706626800-1706632200@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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240130T120000
DTEND;TZID=America/New_York:20240130T131500
DTSTAMP:20260417T212722
CREATED:20231218T013023Z
LAST-MODIFIED:20231218T021625Z
UID:9571-1706616000-1706620500@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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240126T120000
DTEND;TZID=America/New_York:20240126T131500
DTSTAMP:20260417T212722
CREATED:20231218T003825Z
LAST-MODIFIED:20231218T004938Z
UID:9543-1706270400-1706274900@oarc.rutgers.edu
SUMMARY:Introduction to the 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. \nIn this short\, interactive workshop\, we will focus on ArcGIS Online basics\, explore the interface\, add and visualize data. We will explore the analysis tools\, hosted feature services\, collaboration and sharing. Previous knowledge of geographic information systems is not expected. \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-the-geographic-information-systems-gis-with-arcgis-online-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240123T120000
DTEND;TZID=America/New_York:20240123T131500
DTSTAMP:20260417T212722
CREATED:20231218T005900Z
LAST-MODIFIED:20231218T013239Z
UID:9546-1706011200-1706015700@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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240119T130000
DTEND;TZID=America/New_York:20240119T160000
DTSTAMP:20260417T212722
CREATED:20231216T152650Z
LAST-MODIFIED:20231216T152919Z
UID:9526-1705669200-1705680000@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 Bala Desinghu. \nRegister to attend the workshop: \n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/basics-of-linux-command-line/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240119T120000
DTEND;TZID=America/New_York:20240119T131500
DTSTAMP:20260417T212722
CREATED:20231218T011201Z
LAST-MODIFIED:20231218T012133Z
UID:9556-1705665600-1705670100@oarc.rutgers.edu
SUMMARY:Intro 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/intro-to-gis-with-arcgis-pro/
END:VEVENT
END:VCALENDAR