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X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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DTSTART;TZID=America/Los_Angeles:20261116T130000
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UID:26751-1794834000-1794844800@idre.ucla.edu
SUMMARY:Generalized Linear Regression Models in R
DESCRIPTION:This workshop introduces the generalized linear regression model\, which extends the linear regression model to accommodate outcomes with different distributions. The workshop briefly reviews linear regression concepts as necessary\, and then discusses logistic regression for binary outcomes and Poisson and negative binomial models for count outcomes. Examples of running each of these models in R are provided. Some exposure to both linear regression and R would be helpful but are not required.
URL:https://idre.ucla.edu/calendar-event/generalized-linear-regression-models-in-r
LOCATION:Zoom
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DTSTART;TZID=America/Los_Angeles:20261119T100000
DTEND;TZID=America/Los_Angeles:20261119T120000
DTSTAMP:20260921T182443Z
CREATED:20260918T222636Z
LAST-MODIFIED:20260921T182443Z
UID:26753-1795082400-1795089600@idre.ucla.edu
SUMMARY:Computing on the National Research Platform
DESCRIPTION:The National Research Platform (NRP) gives researchers access to a distributed\, Kubernetes-based cyberinfrastructure spanning dozens of institutions\, including a large pool of GPUs and high-throughput storage. For researchers coming from traditional HPC batch schedulers\, the model can be unfamiliar: the unit of work is a containerized workload rather than a script submitted to a queue. \nIn this interactive workshop\, participants will learn how to run tasks on the platform. We start with the conceptual model — namespaces\, Pods\, containers\, and how scheduling differs from a queue — then move directly to practice. Participants will launch an interactive Pod for development\, submit a batch Job\, and request a specific GPU type\, learning how resource requests and limits affect placement. We cover attaching a persistent volume so results survive the Pod\, and close with reading logs\, diagnosing common failure modes\, and norms for sharing a multi-institution resource. \nPrerequisites: participants should arrive with NRP account access and kubectl already installed. Setup instructions will be circulated in advance\, and help will be available before the start. Users unfamiliar with containerization are recommended to attend the “Containerization for Reproducible Scientific Computing” workshop on Tuesday\, October 20\, 2026.
URL:https://idre.ucla.edu/calendar-event/optimizing-and-managing-your-workflows-on-the-hoffman2-cluster
LOCATION:Hybrid- OARC Portal\, Math Sciences 5628 & Zoom
CATEGORIES:Training workshop / Tutorial
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DTSTART;TZID=America/Los_Angeles:20261119T110000
DTEND;TZID=America/Los_Angeles:20261119T120000
DTSTAMP:20260918T223220Z
CREATED:20260918T222636Z
LAST-MODIFIED:20260918T223220Z
UID:26752-1795086000-1795089600@idre.ucla.edu
SUMMARY:Introduction to Digital Accessibility Testing
DESCRIPTION:Audience: UCLA web editors\, content creators\, IT staff\, and program managers Tools Covered: WAVE Chrome plug-in\, Siteimprove Accessibility\, manual keyboard testing \nBy the end of this training\, participants will:\n-Understand the basics of digital accessibility and UCLA’s WCAG 2.1 AA compliance requirements\n-Learn how to use WAVE for page-by-page testing\n-Learn how to use Siteimprove for whole-site accessibility scanning and monitoring\n-Practice manual testing with tab navigation to identify barriers that automated tools miss.\n-Know how to prioritize and remediate common accessibility issues
URL:https://idre.ucla.edu/calendar-event/introduction-to-digital-accessibility-testing-9
LOCATION:Zoom
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20261211T110000
DTEND;TZID=America/Los_Angeles:20261211T123000
DTSTAMP:20260918T223220Z
CREATED:20260918T222637Z
LAST-MODIFIED:20260918T223220Z
UID:26754-1796986800-1796992200@idre.ucla.edu
SUMMARY:Learn prompt engineering and Retrieval Augmented Generation using LLMs
DESCRIPTION:In this workshop you will how to use LLMs and RAG in concert with prompt engineering to build purpose-driven AI productivity tools
URL:https://idre.ucla.edu/calendar-event/learn-prompt-engineering-and-retrieval-augmented-generation-using-llms
LOCATION:Zoom
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