BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Workshops @ UCLA - ECPv6.18.3//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://workshops.ucla.edu X-WR-CALDESC:Events for Workshops @ UCLA REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20270314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20271107T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261102T130000 DTEND;TZID=America/Los_Angeles:20261102T160000 DTSTAMP:20260921T183014Z CREATED:20260921T183014Z LAST-MODIFIED:20260921T183014Z UID:10003822-1793624400-1793635200@workshops.ucla.edu SUMMARY:Introduction to Survival Analysis in R DESCRIPTION:Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup\, Kaplan-Meier estimates and curves\, log-rank tests\, fitting the Cox proportional hazards model\, assessing the proportional hazards assumption\, and modeling time-varying covariates. Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material. URL:https://workshops.ucla.edu/workshop/introduction-to-survival-analysis-in-r-4/ LOCATION:Zoom END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261102T120000 DTEND;TZID=America/Los_Angeles:20261102T130000 DTSTAMP:20260921T183013Z CREATED:20260921T183013Z LAST-MODIFIED:20260921T183013Z UID:10003821-1793620800-1793624400@workshops.ucla.edu SUMMARY:Getting Started with ArcGIS Online at UCLA: Creating\, Editing\, and Sharing Spatial Data and Stories DESCRIPTION:This recorded workshop series introduces learners to the fundamentals of ArcGIS Online as a browser-based GIS platform for creating\, editing\, and sharing spatial data. Designed for beginners or those transitioning from desktop GIS systems\, this series focuses on essential skills and workflows for building maps\, managing GIS data\, and publishing interactive projects. \nNew videos in the series will cover:\n– Joining tables to spatial features using shared attributes\n– Performing spatial joins based on location and spatial relationships\n– Aggregating point data into neighborhoods\, census areas\, or other polygons\n– Finding nearby features and analyzing proximity\n– Creating buffers and other derived spatial features\n– Representing origins\, destinations\, and connections as nodes and edges\n– Creating flow and movement maps from relational data URL:https://workshops.ucla.edu/workshop/getting-started-with-arcgis-online-at-ucla-creating-editing-and-sharing-spatial-data-and-stories/ END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261029T130000 DTEND;TZID=America/Los_Angeles:20261029T150000 DTSTAMP:20260921T183012Z CREATED:20260921T183012Z LAST-MODIFIED:20260921T183012Z UID:10003820-1793278800-1793286000@workshops.ucla.edu SUMMARY:Data Visualization with Python I: Plotting Fundamentals DESCRIPTION:Python is a very popular language for computational and data science\, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The first part of this series will showcase various ways that Python can be used for creating graphics\, following which we’ll dive into some common Python libraries for data viz: Matplotlib\, Pandas\, and Seaborn. Along the way we’ll cover how these libraries fit together — Matplotlib’s underlying figure-and-axes model\, Pandas’ convenient one-line plotting for quick exploration\, and Seaborn’s higher-level interface for statistical graphics — as well as the practical details that make a figure publication-ready. We will go through several interactive exercises so that attendees can gain direct experience in using these libraries and will be prepared to learn more on their own after the workshop. Basic familiarity with Python will be useful. URL:https://workshops.ucla.edu/workshop/data-visualization-with-python-i-plotting-fundamentals-6/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261029T100000 DTEND;TZID=America/Los_Angeles:20261029T120000 DTSTAMP:20260921T183012Z CREATED:20260921T183012Z LAST-MODIFIED:20260921T183012Z UID:10003819-1793268000-1793275200@workshops.ucla.edu SUMMARY:Getting Started with the Hoffman2 Cluster DESCRIPTION:New to the Hoffman2 Cluster? This session gets you from zero to logged-in. Learn how to request an account\, connect via SSH or remote desktop\, find your way around\, and move files to and from the cluster. No HPC experience required — just the foundational skills to start computing on the cluster with confidence. URL:https://workshops.ucla.edu/workshop/getting-started-with-the-hoffman2-cluster/ LOCATION:OARC Portal\, Math Sciences 5628\, 5628 Math Science Building\, UCLA CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261028T103000 DTEND;TZID=America/Los_Angeles:20261028T113000 DTSTAMP:20260921T183012Z CREATED:20260921T183012Z LAST-MODIFIED:20260921T183012Z UID:10003818-1793183400-1793187000@workshops.ucla.edu SUMMARY:Siteimprove Accessibility Software Part 2 DESCRIPTION:In this more advanced session participants will learn about the issues dashboard and how to both interpret results and prioritize issues. This session will also cover how to best use the Siteimprove backend features to improve the accessibility of your website. URL:https://workshops.ucla.edu/workshop/siteimprove-accessibility-software-part-2/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261022T110000 DTEND;TZID=America/Los_Angeles:20261022T120000 DTSTAMP:20260921T183011Z CREATED:20260921T183011Z LAST-MODIFIED:20260921T183011Z UID:10003817-1792666800-1792670400@workshops.ucla.edu SUMMARY:Introduction to Digital Accessibility Testing DESCRIPTION:This session introduces the fundamentals of digital accessibility and why it matters at UCLA. Participants will learn what accessibility means in a digital context\, gain insight into disability culture\, and see a live screen reader demonstration. The training will also cover practical tips for creating accessible documents\, websites\, and media\, including proper use of heading structure\, writing effective alt-text\, and creating descriptive hyperlinks. URL:https://workshops.ucla.edu/workshop/introduction-to-digital-accessibility-testing-8/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261020T100000 DTEND;TZID=America/Los_Angeles:20261020T120000 DTSTAMP:20260921T183011Z CREATED:20260921T183011Z LAST-MODIFIED:20260921T183011Z UID:10003816-1792490400-1792497600@workshops.ucla.edu SUMMARY:Docker Containerization for Reproducible Scientific Computing DESCRIPTION:Installing and managing scientific software and its dependencies can be challenging in both local and high-performance computing environments. Container technologies such as Docker\, Podman\, and Apptainer help address these challenges by providing isolated\, portable\, and reproducible software environments. By packaging applications together with their dependencies\, containers promote consistent execution across different systems and reduce compatibility issues. \nThis workshop will introduce the fundamentals and practical applications of containerization for scientific computing\, with an emphasis on Docker-based workflows. It also provides participants with practical skills for developing reproducible and portable computational environments. Participants will learn how to write Dockerfiles for common scientific workloads\, build and configure Docker images\, and publish container images to cloud-based registries for sharing\, distribution\, and reuse. URL:https://workshops.ucla.edu/workshop/docker-containerization-for-reproducible-scientific-computing/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261015T100000 DTEND;TZID=America/Los_Angeles:20261015T113000 DTSTAMP:20260921T183008Z CREATED:20260921T183008Z LAST-MODIFIED:20260921T183008Z UID:10003815-1792058400-1792063800@workshops.ucla.edu SUMMARY:Disability Culture and Allyship DESCRIPTION:This session is part of the greater UCLA Disability Pride Week running from Oct 12-16. This session introduces participants to disability culture and the role of allyship in creating more inclusive communities. Through discussion\, real-life examples\, and reflection\, participants will explore disability identity\, accessibility as a cultural norm\, and the differences between accommodation and accessibility. The training will also highlight key terminology\, cultural icons\, and common pitfalls to avoid. \nParticipants will leave with practical strategies and best practices for being effective allies\, as well as greater confidence in engaging in conversations about disability with respect. URL:https://workshops.ucla.edu/workshop/disability-culture-and-allyship-3/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261013T140000 DTEND;TZID=America/Los_Angeles:20261013T160000 DTSTAMP:20260921T183008Z CREATED:20260921T183008Z LAST-MODIFIED:20260921T183008Z UID:10003814-1791900000-1791907200@workshops.ucla.edu SUMMARY:Introduction to Physics-Informed Neural Networks (PINNs) DESCRIPTION:This workshop introduces physics-informed neural networks (PINNs)\, a machine-learning approach that can complement or provide an alternative to traditional scientific computing methods such as finite difference\, finite volume\, and finite element methods. Unlike purely data-driven approaches\, PINNs incorporate governing physical equations directly into the training process. Participants will learn the neural network fundamentals needed to develop PINNs. Through examples involving partial differential equations\, participants will see how to build PINNs both from scratch and with an established software framework.\nSome programming experience is expected. Examples will use Python\, NumPy\, PyTorch\, and JAX\, but prior experience with these specific tools is not required. URL:https://workshops.ucla.edu/workshop/introduction-to-physics-informed-neural-networks-pinns/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261009T100000 DTEND;TZID=America/Los_Angeles:20261009T120000 DTSTAMP:20260921T183008Z CREATED:20260921T183008Z LAST-MODIFIED:20260921T183008Z UID:10003813-1791540000-1791547200@workshops.ucla.edu SUMMARY:Learning Neural Network DESCRIPTION:Neural networks are the “beating heart” of modern LLM-based AI systems\, driving everything from image recognition to natural language processing. In this 2-hour lecture\, we’ll explore the foundational concepts of neural networks and their pivotal role in deep learning projects. This session is designed to be accessible to all\, with a focus on intuitive explanations rather than complex mathematics or coding. No prerequisites are required\, though a basic understanding of calculus and linear algebra will be beneficial for grasping the finer details. URL:https://workshops.ucla.edu/workshop/learning-neural-network-3/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20261007T103000 DTEND;TZID=America/Los_Angeles:20261007T113000 DTSTAMP:20260921T183007Z CREATED:20260921T183007Z LAST-MODIFIED:20260921T183007Z UID:10003812-1791369000-1791372600@workshops.ucla.edu SUMMARY:Introduction to Siteimprove Accessibility Software Part 1 DESCRIPTION:This training introduces participants to Siteimprove\, UCLA’s automated accessibility evaluation platform. Attendees will learn how to navigate the main accessibility dashboard\, review accessibility issues across their websites\, and use the platform’s menus and tools effectively. The session will also cover strategies for prioritizing accessibility issues identified by Siteimprove\, helping participants understand which fixes have the greatest impact. URL:https://workshops.ucla.edu/workshop/introduction-to-siteimprove-accessibility-software-part-1/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20260930T110000 DTEND;TZID=America/Los_Angeles:20260930T120000 DTSTAMP:20260921T183007Z CREATED:20260921T183007Z LAST-MODIFIED:20260921T183007Z UID:10003811-1790766000-1790769600@workshops.ucla.edu SUMMARY:Introduction to Digital Accessibility Testing DESCRIPTION:Audience: UCLA web editors\, content creators\, IT staff\, and program managers \nTools 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://workshops.ucla.edu/workshop/introduction-to-digital-accessibility-testing-7/ LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT END:VCALENDAR