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...
Network analysis allows for the modeling of connections between people, places, concepts, and entities in nearly any field of study. We can visualize, describe, and even predict these connections by treating them as data through the use of widely available and free tools. This workshop will introduce participants to the field of network analysis, with...
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 one’s ability to explore data...
Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment, in R, julia or many other programming languages. Instructor: Raffaella D'Auria Register...
This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the workshop covers the essentials of GPU computing, with a special focus on leveraging these powerful processors within Python and R environments as well as other...
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. Instructor: Raffaella D'Auria Register via Zoom
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 seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We will cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative...
Cloud computing service enables users to access various computing resources such as applications, storage, databases, and even machine learning. This workshop will cover how to create your own high-performance computing cluster with a job scheduler on the cloud service, based on the knowledge of compute instance and storage. By doing this, the users can run...
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...
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. Instructor: Raffaella D'Auria...
Speaker: Robert Fofrich, Ph.D. IDRE and UC President's Postdoctoral Fellow Institute of the Environment and Sustainability University of California Los Angeles Place: Virtual (Link to the video recording) Abstract: Lower climate change mitigation pathways require large and swift reductions in anthropogenic CO2 emissions worldwide, a substantial portion arising from fossil energy sources utilized in electricity generation. Thus,...
The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use SPSS Complex Samples to conduct descriptive analyses. Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. Instructor: Christine Wells Register via Zoom
In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing...
Speaker: Najoon Suh, Ph.D IDRE Fellow Department of Statistics and Data Science University of California Los Angeles Location: Zoom (Recording link) Abstract: In the work to be presented, we leverage the power of latent diffusion models to generate synthetic time series tabular data. Along with the temporal and feature correlations, the...
UCLA-IDRE is pleased to host a two-day, in-person, Big Data workshop (July 31 - August 1, 2024, 8 AM-2 PM each day) organized by Pittsburgh Supercomputing Center. This workshop will focus on big data analytics, machine learning using Spark, and deep learning using TensorFlow. It is an in-person workshop presented using the Wide Area Classroom...
R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites. This seminar...
This workshop will cover both the use of descriptive and inferential statistics with complex survey data in Stata. We will also discuss post-estimation commands, the analysis of subpopulations, and some graphical methods that can be used with weighted data. Instructor: Christine Wells Register Now via Zoom Workshop materials
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...
Speaker: Xiao Luo, Ph.D. IDRE Fellow Department of Computer Science University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: August 30, 2024RSVP link: Click here to watch the recording Abstract: This talk discusses the problem of learning-based physical simulation, a crucial task with applications in fluid mechanics and aerodynamics. Recent works typically...
Speaker: Fei-Man Hsu, Ph.D. IDRE Fellow Department of Molecular, Cell, and Developmental Biology University of California Los Angeles Time: 11:30 AM – 12:30 PM (PST) Date: September 27, 2024 Video recording: https://youtu.be/0eRG9B-0PUw Abstract: DNA methylation is associated with pathogenesis and disease progression. The IMPACC cohort includes hospitalized COVID-19 participants with five respiratory illness trajectory groups (TGs)...
Do you have Code Repositories that are scattered across multiple external platforms? If you are already using Github, are you paying for private repositories? Do you want to have your work findable by your UCLA Colleagues and Students? This workshop will go over the benefits as well as caveats involved in moving your Github repositories...
Are you tired of wasting precious time converting your research documents into public websites and presentations? Have you ever needed to change the format of your writing to fit a journal or to meet publisherÕs requirements? Do you wish there was some way to repurpose your writing and research for presentations, websites, and other platforms...
The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. Come and learn what is it and how you can get started using it.
Are you interested in creating and publishing 3D virtual environments on the Web? Would you like to be able to quickly spatially model multimedia assets? This workshop will introduce you to foundational techniques and resources which will enable you to produce WebXR (eXtended Reality) content. This spring, Mozilla sunsetted their WebXR platform, Mozilla Hubs, and...
Built on a hypervisor of the host operating system, a virtual machine (VM) provides an isolated virtual environment that allows for the execution of guest operating systems and applications. However, VMs often demand substantial computing resources to run these systems and programs. In recent years, an advanced technique known as containerization has emerged as an...
A training about disability culture at UCLA and the larger world. Learn about accessibility vs accommodations and how to best inclusive to people with disabilities at work and in the classroom.
Nearly 7 out of 8 billion of the worldÕs population uses mobile phones. Learn about several uses in research including information dissemination techniques, data (image/audio/video) collection, geo-tagged content and gamification. Leveraged for recruitment, collecting digital consent, experimentation with wearable and other sensor/edge devices, psychological interventions, EMAs and randomized notification systems.
Join the Office of Advanced Research Computing for an in-depth exploration of how GPU computing is revolutionizing AI and HPC workloads. Gain hands-on knowledge from experts in generative AI, large language models, and GPU acceleration. This event will cover everything from foundational GPU concepts to advanced applications in life sciences, medical research, and drug discovery....
Built on a hypervisor of the host operating system, a virtual machine (VM) provides an isolated virtual environment that allows for the execution of guest operating systems and applications. However, VMs often demand substantial computing resources to run these systems and programs. In recent years, an advanced technique known as containerization has emerged as an...
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?
Knowledge of Linux is key to successfully using most HPC resources, including the Hoffman2 Cluster. This workshop introduces users to basic usage of the command line interface (CLI), basic file manipulation and the filesystem hierarchy. Environmental modules and modification of the user environment will also be introduced.
https://docs.google.com/document/d/1mlp8_1H0Ih884OejqBlzD1iz5yw1PDnOGb-HuW-gXV0/edit
As the excitement around ChatGPT and other large language models (LLMs) continues to grow, many are exploring how to leverage these technologies in their own domains to achieve more targeted and advanced responses. Among the emerging techniques, Retrieval-Augmented Generation (RAG) stands out as one of the most impactful. In this 2-hour lecture, I will introduce...
Speaker: Robert Fofrich, Ph.D. IDRE and UC President’s Postdoctoral Fellow Institute of the Environment and Sustainability University of California Los Angeles Place: Virtual (Link to the recording) Abstract: Meeting international climate goals will help avoid extensive natural and economic damage globally, but achieving these targets requires the immediate decarbonization of the global economy and the...
Do you build software applications and use GitHub for your code versioning? In this workshop you will learn about GitHub Projects and how to create and resolve issues. You will also learn how to create and respond to pull requests, how to create and manage repositories, and how to create forks and branches of code...
This workshop will introduce the PROCESS Macro in SPSS (written by Andrew Hayes). Basic models will be demonstrated. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses.
Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment, in R, julia or many other programming languages.
How to connect to the Hoffman2 Cluster via Jupyter / how to run python, R, Julia, bash, etc. notebooks / creating interactive presentations / running jupyter notebooks in python or anaconda environments Questions about this workshop can be directed to Raffaella D'Auria (dauria@oarc.ucla.edu). Register here: https://ucla.zoom.us/meeting/register/tJYvdOuuqz8uH9BM1CVoJkPjIOJ5Kiim5qBq
Study designs that includes mobile apps requires planning, forethought, and awareness of the data needed to achieve your grantÕs Òspecific aimsÓ. Mobile devices are near ubiquitous but if you are building one into your study you will need to consider several laws (Common Rule, HIPAA, 21 CFR) and regulatory bodies that govern some aspects of...
Join us for first of a series of AWS AIML Workshops led by experienced Senior Solution Architects from Amazon Web Services(AWS). This series is designed to elevate your cloud computing skills. We'll explore key AWS technologies shaping the future of cloud computing. You'll gain hands-on experience with fundamental tools needed to build scalable AI in...
The Office of Advanced Research Computing (OARC) is pleased to be one of the remote sites for the Pittsburgh Supercomputing Center (PSC) workshop on Using GPUs with OpenACC on November 13, 2024. OpenACC is the accepted standard that uses compiler directives to allow quick development of GPU-capable codes using standard languages and compilers. It has...
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.