Start: 1970-01-01T00:00:00-08:00
End: 1970-01-01T00:00:00-08:00

List

January 1970
This workshop introduces the functionality of Stata with a focus on data analysis. We will discuss the basic interface and do-files as well as explore commands to import data, create and modify variables, summarize variables, visualize data, combine data sets, and to run basic analyses. No experience with Stata is assumed.

January 1, 1970 @ 12:00 am

Introduction to Stata
While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part 2 introduces commonly used methods for scientific research, including ridge regression, LASSO, principal components analysis (PCA), regression trees, and random forests. Practical examples and demonstrations will be provided using R, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required, though familiarity with basic regression is recommended.

January 1, 1970 @ 12:00 am

Machine Learning for Scientific Research. Part 2
This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed and then examples of OLS regression and logistic regression will be considered.

January 1, 1970 @ 12:00 am

Survey Data Analysis with R
While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part 2 introduces commonly used methods for scientific research, including ridge regression, LASSO, principal components analysis (PCA), regression trees, and random forests. Practical examples and demonstrations will be provided using R, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required, though familiarity with basic regression is recommended.

January 1, 1970 @ 12:00 am

Machine Learning for Scientific Research. Part 1
This workshop introduces the functionality of Stata with a focus on data analysis. We will discuss the basic interface and do-files as well as explore commands to import data, create and modify variables, summarize variables, visualize data, combine data sets, and to run basic analyses. No experience with Stata is assumed.

January 1, 1970 @ 12:00 am

Introduction to Stata
While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part 2 introduces commonly used methods for scientific research, including ridge regression, LASSO, principal components analysis (PCA), regression trees, and random forests. Practical examples and demonstrations will be provided using R, and we will discuss how these tools can complement traditional statistical approaches in scientific research. No prior experience with machine learning is required, though familiarity with basic regression is recommended.

January 1, 1970 @ 12:00 am

Machine Learning for Scientific Research. Part 2
This interactive 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. By the end of the session, attendees will have a clear understanding of how small changes in everyday digital practices can make a big impact in ensuring equity and inclusion for all.

January 1, 1970 @ 12:00 am

Digital Accessibility Basics
This introductory workshop is designed for UCLA researchers who are new to the Hoffman2 Cluster. Participants will learn how to request an account, connect to the cluster via SSH/remote desktop, navigate the environment, and transfer files to and from the shared high-performance computing system. No prior experience with HPC is required—this session will provide the foundational skills needed to begin computing on Hoffman2 Cluster confidently.

January 1, 1970 @ 12:00 am

Getting Started with the Hoffman2 Cluster -- HPC@UCLA Workshop 1 of 5
Audience: UCLA web editors, content creators, IT staff, and program managersTools Covered: WAVE Chrome plug-in, Siteimprove Accessibility, manual keyboard testing By the end of this training, participants will: Understand the basics of digital accessibility and UCLA’s WCAG 2.1 AA compliance requirements. Learn how to use WAVE for page-by-page testing. Learn how to use Siteimprove for whole-site accessibility scanning and monitoring. Practice manual testing with tab navigation to identify barriers that automated tools miss. Know how to prioritize and remediate common accessibility issues.

January 1, 1970 @ 12:00 am

Introduction to Digital Accessibility Testing
ESRI is a leading industry provider of geospatial tools and research, featuring a wide variety of products from AI enhanced analysis to web-publishing solutions for classroom projects. The sheer number of different tools and applications offered by the ESRI digital ecosystem can appear overwhelming, as can the documentation and associated tutorials. To lower the barrier for using ESRI products, UCLA has a comprehensive licensing agreement with ESRI, and offers tutorials, consultations, and direct assistance with using the software. As part of these efforts, this workshop introduces UCLA researchers to the wide range of ESRI products and services available free of charge through the university. Participants will learn about our single-signon access and ESRI products, and the capabilities of ArcGIS Online, StoryMaps, and other ESRI tools to support mapping, spatial analysis, and data visualization across disciplines for research and teaching, with examples pulled directly from the Digital Humanities, Social Sciences, and Healthcare. We will also highlight the types of support available from OARC to the campus community, including training, research consultations, teaching support, and guidance on best practices for incorporating geospatial tools into your interests. Whether you are new to GIS or looking to expand your use of ESRI products, this session will provide a clear overview of the resources and expertise available at UCLA.

January 1, 1970 @ 12:00 am

Spatial Research and the ESRI Ecosystem at UCLA
Academic researchers across disciplines—from archaeology and medicine to data science and the digital humanities—increasingly need to create, manipulate, and display three-dimensional models. Whether reconstructing historical sites, visualizing complex protein structures, or building virtual environments for psychological experiments, the challenge is often the same: how to produce custom, accurate, and performance-optimized 3D assets without access to large budgets or specialized digital arts training. Commercial software can be prohibitively expensive, and outsourcing asset creation can sever the direct link between the research and its visual representation. There is a need for tools that are accessible, powerful, and versatile enough to support the entire 3D production pipeline within a research context. This workshop will introduce options for all-levels, from rapid prototyping to detailed rendering, and will provide examples from a variety of disciplines. Participants will also learn how to use AI to support the pipeline from idea to 3D assets to AR or VR output (using https://www.8thwall.com/) and how agentic AI can be applied to avatars in VR environments (https://www.mud.foundation/mud-verse) . Participants are encouraged to reach out to the workshop organizer in advance with any specific tools of interest.

January 1, 1970 @ 12:00 am

From Polygons to Presence: Crafting 3D Assets for Immersive Research Experiences
Part of the series: From Scripts to Software: Practical Python for Reproducible Research This hands-on workshop will introduce you to the principles of modern software development and show you how to apply them to your scientific projects. We will move beyond simple scripting and learn how to write Python code that is robust, reusable, and ready for the challenges of modern research. While the examples are in Python, the underlying principles of software design are universal and apply to any programming language. Next workshops as part of the series: Scaling Your Science with Parallel Computing (10/16) and Accelerating Your Code with GPUs (10/30)

January 1, 1970 @ 12:00 am

Foundations for Sustainable Research Software
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. By the end of the hour, participants will be confident in using Siteimprove to monitor, evaluate, and improve the accessibility of their digital content.

January 1, 1970 @ 12:00 am

Introduction to Siteimprove
Part of the series: From Scripts to Software: Practical Python for Reproducible Research Now that you have a solid foundation in writing sustainable and object-oriented Python code, we will explore how to scale up your research by breaking the single-processor barrier. This workshop will introduce you to the world of parallel computing, empowering you to tackle larger research problems. Next workshop as part of the series: Accelerating Your Code with GPUs (10/30)

January 1, 1970 @ 12:00 am

Scaling Your Science with Parallel Computing
This hands-on session introduces participants to the layout and usage of the Hoffman2 Cluster environment. Attendees will learn how to navigate the file system, load software modules, and run interactive computing sessions using the job scheduler. Ideal for researchers looking to explore tools, test code, or perform small-scale analyses in real time.

January 1, 1970 @ 12:00 am

Navigating the Cluster & Running Jobs Interactively -- HPC@UCLA Workshop 2 of 5
This session is part of the greater UCLA Disability Pride Week running from Oct 14-17. 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. Participants 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.

January 1, 1970 @ 12:00 am

Disability Culture and Allyship
Do you use LLMs but wish you could improve the results? In this workshop you will learn how to get the most out of LLMs using a step-by-step approach to prompt engineering. You will also learn about Retrieval Augmented Generation (RAG) and how to implement a basic RAG application. Finally, you will learn how to combine these two techniques to maximize the quality and effectiveness of LLM outputs.

January 1, 1970 @ 12:00 am

Learn Prompt Engineering and Retrieval Augmented Generation Using Open-Source LLMs
Join us for a session on disability in sports with guest lecturer Sam McIntosh, Paralympic track athlete. This presentation will explore the history and significance of the Paralympics, the classification system that ensures fair competition, and the broader impact of sports on the lives of young disabled individuals. Through Sam’s personal journey and experiences as a world-class athlete, participants will gain insight into the challenges, opportunities, and transformative power of sports within the disability community.

January 1, 1970 @ 12:00 am

Disability in Sport with Guest Lecturer Paralympian Sam McIntosh
This session provides an introduction to creating accessible documents in Google Docs, Microsoft Word, and PDFs. Participants will learn the fundamentals of digital accessibility, including how to use proper heading structure, write effective alt-text for images, create descriptive links, and ensure sufficient color contrast. The training will also demonstrate how to use built-in and automated accessibility checkers to identify and correct common issues. By the end of the session, attendees will have practical tools to make their documents more inclusive and compliant with accessibility standards.

January 1, 1970 @ 12:00 am

Introduction to Document Accessibility (Google docs, Word, PDF)
Overleaf is an online LaTeX editor for writing, editing, and publishing documents in a collaborative cloud-based environment. This one-hour workshop is designed for participants with a basic Overleaf familiarity who would like to learn about some of Overleaf’s advanced features. We will begin by demonstrating how to import and structure existing documents in Overleaf, followed by examples of how to use the platform’s wide range of pre-existing templates, including for journal articles, theses, and posters. We will then cover practices for managing references and bibliographies, including integration with BibTeX and with reference management software like Mendeley. Finally, the session will highlight Overleaf’s collaborative tools, showing how to manage co-author contributions efficiently with version control and real-time editing. By the end of the workshop, attendees will have an appreciation of Overleaf’s features for creating professional and collaborative documents.

January 1, 1970 @ 12:00 am

Research Writing with Overleaf: Templates, Bibliographies, and Collaboration
This workshop guides researchers through running Jupyter Notebooks on the Hoffman2 Cluster for interactive data analysis and computing. Participants will learn how to launch Jupyter via the job scheduler, connect securely through SSH tunneling, and manage computing resources effectively. Ideal for users familiar with Jupyter who want to scale their workflows using the Hoffman2 Cluster.

January 1, 1970 @ 12:00 am

Interactive Computing with Jupyter on the Hoffman2 Cluster – HPC@UCLA Workshop 3 of 5
Part of the series: From Scripts to Software: Practical Python for Reproducible Research Having learned how to write sustainable, object-oriented code and how to scale it across multiple processors, we will now explore how to dramatically accelerate your computations using Graphics Processing Units (GPUs). Modern GPUs are massively parallel processors that can perform millions of identical operations at once. This makes them incredibly powerful for a wide range of scientific workloads, from numerical simulations to deep learning. We will discuss: (1) The difference between CPU and GPU architectures. (2) The CUDA ecosystem, which is the foundation of GPU computing. (3) JAX, a modern Python library that provides a high-level, Pythonic interface to GPUs.

January 1, 1970 @ 12:00 am

Accelerating Your Code with GPUs
Learn practical strategies for building more inclusive websites in this session with Chris Patterson, a web accessibility specialist with over 20 years of experience in digital accessibility and web development. Chris will share her top 10 tips for improving web accessibility, covering common barriers, best practices, and simple changes that make a big difference for users. Whether you are new to accessibility or looking to strengthen your skills, this session will provide actionable guidance to help ensure your web content meets accessibility standards and serves all audiences effectively.

January 1, 1970 @ 12:00 am

Top 10 Accessibility Tips with Accessibility Specialist Chris Patterson
Python is a general-purpose programming language that is easy to learn and widely used. It is one of the primary programming languages for data science, and when combined with its modules such as NumPy, SciPy, Matplotlib, and Pandas, it can be a very powerful tool for numerical computing. The first part of this hands-on series will be a whirlwind introduction to all the basic Python concepts and features you need to get started learning. By the end, you should be able to read and write basic Python modules and programs, and you should have enough Python exposure to continue learning more on your own.

January 1, 1970 @ 12:00 am

Numerical Programming with Python, Part I: Crash Course in Fundamentals
This workshop explores how human-centered UX design can support the integration of AI into research-focused mobile applications. We’ll examine how AI features, such as Retrieval-Augmented Generation (RAG) and agentic assistants, can enhance participant engagement, improve data quality, and facilitate efficiency. You’ll gain insight into how the UX design process applies to AI – from early UX research and journey mapping to prototyping and interface design. In this session, we’ll also discuss patterns for conversational interfaces, agentic tools, and approaches to accessibility – so you can learn how AI can help create smarter, more impactful research experiences.

January 1, 1970 @ 12:00 am

Designing AI interfaces for Research Mobile Apps
Audience: UCLA web editors, content creators, IT staff, and program managersTools Covered: WAVE Chrome plug-in, Siteimprove Accessibility, manual keyboard testing By the end of this training, participants will: Understand the basics of digital accessibility and UCLA’s WCAG 2.1 AA compliance requirements. Learn how to use WAVE for page-by-page testing. Learn how to use Siteimprove for whole-site accessibility scanning and monitoring. Practice manual testing with tab navigation to identify barriers that automated tools miss. Know how to prioritize and remediate common accessibility issues.

January 1, 1970 @ 12:00 am

Introduction to Digital Accessibility Testing
Cloud computing services enable users to access a wide range of computing resources via the internet. This workshop series is designed to provide academic researchers with practical guidance on leveraging cloud computing platforms for their daily work. Participants will learn how to utilize compute instances, networking, storage solutions, machine learning tools, and configure high-performance computing clusters on two leading cloud providers: Amazon Web Services (AWS) and Google Cloud Platform (GCP). By the end of the series, attendees will be equipped to run simulations, conduct data analyses, engage in interactive computing, and manage workloads using job schedulers in a cloud environment.

January 1, 1970 @ 12:00 am

Google Cloud Platform: Compute Engine
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.

January 1, 1970 @ 12:00 am

Learning Neural Network
The second part of this hands-on series will introduce you to a few libraries that enable Python to function as a powerful numerical programming language, including NumPy, SciPy, and Pandas. We will focus on a few illustrative problems, such as exploratory statistical analysis and visualization, curve fitting, finding solutions to a set of linear equations, and numerical differentiation and integration, with the aim being to provide a good foundation for further exploration and programming activity. By the end, you will be familiar with the ecosystem of numerical tools contained in these libraries and fundamental ways to use them.

January 1, 1970 @ 12:00 am

Numerical Programming with Python, Part II: NumPy, SciPy, and Pandas
This workshop introduces participants to running batch jobs on the Hoffman2 Cluster using the job scheduler. Attendees will learn how to write and submit batch scripts, request computing resources, monitor job status, and manage output files. This session is essential for researchers aiming to run larger or automated workloads efficiently.

January 1, 1970 @ 12:00 am

Batch Computing on the Hoffman2 Cluster – HPC@UCLA Workshop 4 of 5
This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered.

January 1, 1970 @ 12:00 am

Applied Survey Data Analysis Using SAS
Cloud computing services enable users to access a wide range of computing resources via the internet. This workshop series is designed to provide academic researchers with practical guidance on leveraging cloud computing platforms for their daily work. Participants will learn how to utilize compute instances, networking, storage solutions, machine learning tools, and configure high-performance computing clusters on two leading cloud providers: Amazon Web Services (AWS) and Google Cloud Platform (GCP). By the end of the series, attendees will be equipped to run simulations, conduct data analyses, engage in interactive computing, and manage workloads using job schedulers in a cloud environment.

January 1, 1970 @ 12:00 am

Google Cloud Platform: Cloud Storages
Do you use GitHub as a code repository? In this workshop you will learn how to expand your GitHub use by integrating continuous integration and continuous deployment workflows. Together we will create a sample GitHub workflow using GitHub actions, we will clone repos and create pull requests, go over stage deployment and user acceptance testing, and how to push to production and merge your code back to the main branch.

January 1, 1970 @ 12:00 am

GitHub for Continuous Integration and Continuous Deployment
R is a powerful programming language specifically designed for statistical analysis. In this workshop, we will explore some of the tools and packages available in R to craft visually appealing tables that effectively communicate your results. Whether you’re using R Markdown and seeking to generate tables in your HTML file or aiming to create polished and publication-ready tables in your report, these packages can greatly enhance the clarity of your work.

January 1, 1970 @ 12:00 am

Output Tables in R
This advanced session focuses on improving the efficiency, scalability, and reproducibility of your research workflows on the Hoffman2 Cluster. Topics include job arrays, resource monitoring, environment management (e.g., python, conda), and best practices for data and storage usage. Ideal for users ready to streamline and scale their computational research.

January 1, 1970 @ 12:00 am

Optimizing and Managing Your Workflows – HPC@UCLA Workshop 5 of 5
Duration: 1 hour Audience: UCLA web editors, content creators, IT staff, and program managers Tools Covered: WAVE Chrome plug-in, Siteimprove Accessibility, manual keyboard testing By the end of this training, participants will: -Understand the basics of digital accessibility and UCLA’s WCAG 2.1 AA compliance requirements. -Learn how to use WAVE for page-by-page testing. -Learn how to use Siteimprove for whole-site accessibility scanning and monitoring. -Practice manual testing with tab navigation to identify barriers that automated tools miss. -Know how to prioritize and remediate common accessibility issues.

January 1, 1970 @ 12:00 am

Digital Accessibility Testing Made Simple

January 1970

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