Using GitHub for Continuous Integration/Continuous Deployment
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....
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....
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?...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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,...
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...
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,...
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...
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...
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...
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...
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...
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....
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...
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...
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...
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...
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...
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...
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...
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,...
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....
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...
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...
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...
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...
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...
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...
The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes, logistic regression. Some basic background...
Venue: OARC Portal, 5628 Math Science Building, UCLA Registration: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/ UCLA-IDRE and Pittsburgh Supercomputing Center are pleased to announce a two day Machine Learning and Big Data workshop (May...
Machine learning is playing an increasingly important role in science and technology. In this advanced session, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to...
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?...
Are you interested in using LLMs for research? In this 90 minute hands-on workshop, you will learn how to install and deploy an open-source LLM on your local environment, create...
The purpose of this workshop is to show the use of the mixed command in SPSS. Although it has many uses, the mixed command is most commonly used for running...
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. Register Now
This workshop provides an introduction to using multiple GPUs for high-performance computing. Participants will explore essential techniques and tools, including CUDA with C++ and Python, PyTorch, and MPI, to optimize...
This workshop introduces power analysis and simulations to assess power and estimate sample sizes needed for sufficient power. We will begin with simple analyses such as the t-test and will...
This workshop explores designing AI interfaces for research mobile apps, focusing on enhancing user experience. Participants will learn how to leverage Retrieval Augmented Generation (RAG) architectures to achieve accurate performance...
Directed Acyclic Graphs (DAGs) have emerged as an important tool in causal modeling to understand the relationships among variables. DAGs can inform what variables should be included or excluded in...