Name: 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.
Start: 1970-01-01T00:00:00-08:00
End: 1970-01-01T00:00:00-08:00
Location: Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

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

Zoom

Learn Prompt Engineering and Retrieval Augmented Generation Using Open-Source LLMs

January 1970

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