As a computational researcher, it can be essential to know how to use version control in order to run other peopleÕs code or to develop code as part of a multi-person development team. Git is one software tool for version control that helps users manage software and software changes over time. This workshop will introduce...
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...
As you plan and budget for your research studies, keep in mind that making your research findings accessible should be a forethought and not an afterthought. If you are going to create a website, you need to keep this in mind. Keep in mind ADA compliance reporting requirements. Strategic Outcomes: - Increased inclusivity in UCLAÕs...
SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the...
Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications.
GitHub is a web-based platform for software projects using Git. This workshop will continue the Git introduction by focusing on how to use the features of GitHub for accessing, managing, and collaborating on software. We will also extend the discussion of Git fundamentals to include more advanced topics such as merge conflicts and branches.
In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining R-Squared Measures. This workshop discusses the concepts of within-cluster and between-cluster variance in multilevel models, and how these new R-squared measures quantify how the components...
Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to submit jobs, how to request resources and how to take advantage of very many CPU and GPU cores on the Hoffman2 Cluster.
Mobile App Research allows for flexible collection of data. Being Òin the fieldÓ can now happen anytime and anywhere. This is true across a broad spectrum of disciplines today including public health, life sciences, digital humanities, social sciences, physical sciences, public affairs, mhealth and more. Techniques to collect data can leverage notification systems, be randomized,...
Venue: Virtual (link to the recorded video) The IDRE Early Career Researchers (ECR) group is pleased to host a panel discussion on applications of AI technology in research computing. The panel will be led by the following new IDRE fellows (2024-2025) from various disciplines across the UCLA campus. Barbara Lopez-Doriga, Mechanical and Aerospace Engineering Claire...
UCLA-IDRE, along with ACCESS and Pittsburgh Supercomputing Center, is pleased to announce a workshop on the Introduction to Message Passing Interface (MPI). This workshop will give C and Fortran programmers a hands-on introduction to MPI programming. Both days are compact and packed with helpful information and lab exercises. Attendees will leave with a working knowledge of...
Do you write and version code in Github? In this workshop you will learn how to use Github Actions to automatically and securely deploy your source code across your infrastructure. Join this workshop to learn how to leverage GitHubÕs advanced CI/CD tools that come with the Github Enterprise account to enhance your DevOps practice.
What is digital accessibility? How can the research enterprise be more prepared to be inclusive of people with disabilities. What should an IRB be evaluating in terms of digital accessibility? Strategic Outcomes: Increased awareness of digital accessibility issues; improved inclusion of disabled populations in UCLAÕs research studies; positions UCLA researchers to better serve disabled populations...
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 weÕll dive into some common Python...
Join us for an engaging session in the Hoffman2 Happy Hour Series as we explore how to effectively use RStudio on Hoffman2. This hands-on workshop will demonstrate the use of an RStudio Server app within the Hoffman2 environment, leveraging Apptainer for seamless integration and execution. Whether youÕre new to Hoffman2 or looking to expand your...
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 second part of this series will explore various ways that Python can be used to make interactive graphics that enhance oneÕs ability to explore data...
Containers are revolutionizing the way scientific software is run on High-Performance Computing (HPC) platforms by providing a ÔvirtualÕ OS that simplifies application installation and portability. This session will guide you through the process of building and utilizing containers to enhance your research workflows on HPC systems. The workshop will focus on UCLAÕs Hoffman2 cluster, which...
Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation.
Building on the concepts introduced in Using Containers on HPC Resources, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how to build containers using Docker/Podman and Apptainer/Singularity, with practical examples on UCLAÕs Hoffman2 cluster. Whether you want to create portable, reproducible environments for your research...
Speaker: Hesam Soleimani, Ph.D. IDRE Postdoctoral Fellow Civil Engineering University of California Los Angeles Place: Virtual (Video recording) Abstract: Urban infrastructure encompasses diverse systems, from residential buildings to critical facilities like power and transportation. Structural Health Monitoring (SHM) provides a framework to ensure the safety and continuity of these infrastructure systems by distinguishing between non-damaged...
Databases are central tools for organizing research. In addition to storing data, databases allow for data to be quantified in meaningful ways. The process of creating a database can also help clarify relationships within content. Relational databases are designed to reduce redundancy, increase efficiency, and decrease errors. This introductory workshop on databases offers participants a...
In this training you will lean learn about the following topics: ¥ Introduction to DCP and Services for Researchers ¥ Training and Resources for Accessible Research ¥ Accessible Research Tools ¥ What is Disability? (ADA Definition) ¥ Overview of Laws & Policies Around Accessible Research ¥ Best Practices in Planning for Accessible Research ¥ Accessibility...
Graph databases are at the frontier of data science, humanities, and AI computing. Built to handle dense, highly interconnected data, graph databases underpin many social networks, big data applications, and new research initiatives, but are still not as widely understood or deployed as traditional relational databases. Building off the Introduction to Databases (Part 1) workshop,...
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...
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data techniques to address large-scale data processing and complex machine learning model training on UCLAÕs Hoffman2 cluster. Through hands-on examples and demonstrations, participants will explore the...
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
This workshop will introduce mediation (i.e., causal) models using Mplus. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses. Models with latent variables will not be discussed.
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
This workshop provides an overview of cloud computing concepts, including its benefits, services, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud platforms such as AWS and Google Cloud. The workshop covers key topics such as cloud architecture, storage, security, and scalability, offering practical insights into how...
Speaker: Tsukasa Yoshinaga, Ph.D. IDRE Postdoctoral Fellow Department of Head and Neck Surgery University of California Los Angeles Place: Virtual Access the event recording Abstract: Human voice production is a complex process requiring precise coordination of respiratory and laryngeal muscle activation. These components shape voice quality, enabling humans to produce a wide range of...
This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model estimates, and diagnostics for assessing model assumptions. The workshop is intended to be interactive, with examples and exercises in R, and assumes only introductory exposure...
Planning for an accessible study recruitment effort. Advertising in accessible digital environments, making PDFs accessible, email outreach that is accessible and mobile app ads that are accessible. Creating a accessible digital consent pathway, making research accessible to all. Strategic Outcomes: - Inclusivity in community engaged research
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...
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers.
Several highly accurate computational methods, such as Fourier spectral method and compact finite difference method, require complete grid data along spatial axes when solving partial differential equations on structured grids. However, modern simulations often involve enormous datasets, especially when using high-resolution grids, that exceed the memory capacity of a single processor. This poses a significant...
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers. This will be a hands on workshop.
Mobile Apps like websites need to be built with accessibility in mind to comply with the WCAG 2.1 standard. Fortunately, Mobile devices themselves have alot of accessibility features already built in. When building a mobile app, or working with an outside vendor to build a research app as an instrument, you should include this as...
Speaker: Mo Zhou, Ph.D. IDRE Postdoctoral Fellow Department of Mathematics (UCLA) University of California Los Angeles Place: Virtual (Link to the video recording) Abstract: Generative models, a cornerstone of modern AI, learn to approximate complex probability distributions and generate realistic data. A key challenge in these models is efficiently computing the “score function,”...
LaTeX is a powerful typesetting system that is widely used for academic and professional documents, but it has a steep learning curve. Overleaf simplifies the process of working with LaTeX by providing an intuitive interface, simplifying document production, and facilitating real-time collaboration with colleagues. This workshop will introduce participants to Overleaf’s essential features. Topics will...
Do you use GitHub for version control? In this 90 minute hands-on workshop you will advance your GitHub prowess by learning how to use Github Actions to automatically and securely deploy source code across your infrastructure. Join this workshop to learn how to leverage GitHub's advanced CI/CD tools that come with your Github Enterprise account...
Jupyter Notebook, JupyterLab and Voilà are a powerful tool for interactive computing, for proof of concept implementations and for creating interactive web applications or dashboards. Come and learn how to open Jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a mamba/python environment, in R, julia or...
The most widely used way to interact with computers is through a graphical user interface, for example, the desktop interface of Microsoft Windows or Mac OS. However, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command...
Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time, effort, and headache. For example, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished...
In this workshop the DCP will lead a training on how the design accessible data visualization for publication both into PDF and html in alignment with WCAG 2.1 AA guidance. Many people with disabilities use assistive technologies. Register Now
As artificial intelligence (AI), machine learning (ML), and Large Language Models (LLM) technologies continue to evolve, they offer new possibilities for humanities research, from large-scale text and image analysis to generative AI applications that synthesize and extrapolate knowledge. This workshop introduces key AI/ML/LLM concepts, including neural networks, large language models, and large image models, while...
This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources, optimize performance, and interact with models through a web-based UI. The session includes a live demo,...
Are you doing research with surveys ( in RedCap or another survey tool) and paying an outside vendor to SMS links to your participants? Did you know that UCLA has a Mobile Messaging service that can send push messages instead that is much more economial? Sending a push message to a simple mobile app costs...
Speaker: Barbara Lopez-Doriga, Ph.D. IDRE Postdoctoral Fellow Mechanical and Aerospace Engineering University of California Los Angeles Place: Virtual (Register here for the zoom link) Abstract: There is significant practical interest in understanding and modeling fluid systems, not only to gain insights into the complex dynamics that govern them, but also to enable their control...
In this workshop, participants will gain hands-on experience with the job scheduling system on the Hoffman2 cluster, the UCLA’s high-performance computing resource. Additionally, participants will learn how to write effective job submission scripts, allocate resources efficiently, troubleshoot job issues, and optimize workflows for improved performance. Whether you're new to job scheduling or looking to refine...
Machine learning has become a key element in science and technology today. Mastering libraries like scikit-learn–a vital tool for machine learning–is essential. In this workshop, you'll receive a fundamental introduction to the scikit-learn Python library. For the best experience, participants should have a working knowledge of Python and a basic understanding of machine learning concepts....