Institute for Digital Research and Education
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
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Time: 12:00 PM - 1:00 PM Date: April 22, 2020 Location: Zoom (the meeting link will be sent to you once you rsvp below) RSVP HERE IDRE is happy to reschedule the first lunch meeting for the IDRE Early Career Research Group to April 22, 2020. Although this first meeting is going to be virtual,...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
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The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R. In this interactive workshop, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively. The workshop is interactive, in which attendees are encouraged to participate in...
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As members of an academic community with a myriad of research initiatives, the need to map information, to spatially analyze, to geoprocess, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this question largely depends on what you want to map, and how you want to create your map. The what is...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
Read More
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
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Mplus is a powerful statistical package used for the analysis of latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. The program can handle a combination of categorical and continuous variables and often permits...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected...
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This workshop introduces R packages and functions that help users import, transform and manage their data in preparation for analysis. The seminar focuses on the “tidy data” philosophy encouraged y the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed. Topics include data import, transforming variables, string functions, missing...
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MATLAB, developed by MathWorks, has been used in research and the industry for computations, simulations, data analysis and visualization across multiple disciplines such as physical sciences, engineering, economics, and biomedical fields. This class will discuss and demonstrate how to import data, perform data analysis, trend analysis, and various data/file exchange formats using the MATLAB desktop...
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Learn how to break the rules of mapmaking! This workshop's main lecture introduces disruptive mapping practices from critical cartography and indigenous critical theory and applies them to a Critical COVID-19 Story map built on Esri StoryMaps platform. The technical portion focuses on learning how to set up an Esri Public Account, incorporating media and external...
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This course will teach attendees how to build interactive widgets and visualizations for exploring equations, datasets, and machine learning models. This course will touch on several machine learning tools in Python, but the primary goal will be to give attendees a foundation in tools that can be useful in exploring datasets and conceptualizing models. Basic...
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This workshop will give a practical overview of exploratory (EFA) in SPSS. Topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The notes for the workshop are here. This workshop will not be hands-on. Attendance is restricted to researchers...
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The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and...
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SQL is a standard language designed to query and extract data from tables stored in a database. Python, on the other hand, has well-known libraries specially designed for data analysis and manipulation. This course will introduce attendees to the basics of SQL, relational database management systems, and options for integrating these with Python for data...
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In this talk, I introduce the concepts and jargon of power and sample size calculations such as alpha levels, power, and minimum detectable effect sizes. I do several simple calculations manually and then demonstrate how to replicate these calculations using Stata's -power- commands. Next, I demonstrate how to create tables and graphs for power, sample...
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This class will address the process of creating MATLab standalone executables and running MATLab in batch, as well as running Abaqus python scripts. It will give examples of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another...
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Time: 12:00 PM – 1:00 PM Date: June 05, 2020 Location: Zoom (you will receive an email after your rsvp) RSVP HERE Link to the presentation's recording and slides Abstract: The novel coronavirus (COVID-19), which causes an acute respiratory disease in humans, has emerged as a global pandemic, and caused an over 250,000 death toll...
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The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser. Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It is a popular tool in many...
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Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how to use Git...
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Register in advance: Please REGISTER using the Zoom Meeting Link before joining! There are no pre-requisites to take this workshops, but it is recommended that you take the following two workshops: Introduction to Jupyter Version control with git As members of an academic community with a myriad of research initiatives, the need to map...
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SQL is a standard language designed to query and extract data from tables stored in a database. In this short class, you will learn how to store, query, and manipulate data with SQL, and you will gain exposure to the fundamentals of SQL and relational database management systems. Register in advance: Please REGISTER using the...
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The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is...
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QGIS workshop for processing and visualizing demographic census data, commonly used in the social sciences. If you have any further questions regarding the workshop, please contact instructor Albert Kochaphum.
Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields:...
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The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is...
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We are increasingly sharing our data and research in virtual environments. WebVR (or WebXR as it’s now known) is an open standard that allows 3D / virtual reality (VR) experiences to be produced through your browser. It also aims to make your immersive data platform-agnostic, so it will be portable to whatever device you have....
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Description coming soon. If you have any further questions regarding the workshop, please contact instructor Raffaella D'Auria.
On macOS, Linux, or Windows with Cygwin, or other POSIX-compliant environments, a number of versatile, time-tested command-line open-source tools with text-based user interface (TUI) are available to support performing common tasks that arise in advanced computation or data analysis. Unlike their graphical user interface (GUI) counterparts, which appear to be prevalent in today's computing environments,...
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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. Attendance is restricted to researchers from the University of California. The information for the Zoom meeting will be sent...
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The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part...
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The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part...
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The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is designed to: 1) introduce users to the Hoffman2 Cluster environment and clarify the process of porting applications or using applications already available on the cluster; 2) demonstrate how to submit batch jobs, run interactive applications and monitor resource utilization;...
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Anaconda is a popular, free, and open-source distribution of Python and R packages for scientific computing and data analysis. Many users prefer using Anaconda on the personal computer instead of manually installing individual packages not only for convenience but also for taking advantage of Anaconda's ability to resolve version conflicts and package dependencies. On the...
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Learn how to break the rules of mapmaking! This workshop’s main lecture introduces disruptive mapping practices from critical cartography and indigenous critical theory and applies them to crafting a story on Esri StoryMaps platform. The technical tools include learning how to set up an Esri Public Account, incorporating media and external digital content, and highlighting...
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As Jupyter Notebook is becoming more and more popular for data scientists, researchers and software engineers, many people may have already heard about Google Colab. As one of the most famous cloud services for machine learning, Colab features FREE access to GPU and TPU computing. But do you know you can use Colab for various...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the first session of the series, we will give a broad introduction about deep learning and neural network. No specific prerequisite is required.
The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port your workflow to...
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Please RVSP here. Workshop will be conducted in Zoom. Invites are sent out the day before the workshop. SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the second session of the series, we will look into the procedures of working on a general deep learning project, especially on how to train a deep neural network...
Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. There are many ways to communicate the results of research. Visually representing data provides a valuable perspective within an academic argument. Data visualizations provide an overview or snapshot of a dataset, draw attention to...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the third session of the series, we will introduce PyTorch deep learning framework, illustrate the basic usage of tensors and automatic differentiation, and solve a simple temperature-conversion problem using PyTorch...
The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port your workflow to...
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Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. 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...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fourth session of the series, we will introduce convolutional neural network and learn how to use PyTorch to do image processing for classic Dogs-vs-Cats problem...
REGISTRATION IS NOW OPEN, RSVP HERE! Wednesday October 28th, 10am (PDT): Welcome message and humanitarian map training Thursday October 29th: Continue mapping and a day of workshops9am Open Street Map with Python 11am Open Data and Tableau 1pm GIS with R 3pm Introduction to QGIS Friday October 30th, 10am (PDT): Wrap-up and closing Keynote with...
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Please RVSP here. Workshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. This workshop is part one of a four-part workshop series in the 4th Annual UCLA/USC Humanitarian Mapathon. You will learn how to use Python within Jupyter Notebooks to find Open Street Map data for...
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This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fifth session of the series, we will introduce data augmentation and transfer learning techniques to get a better solution for deep learning projects with PyTorch...