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BEGIN:VEVENT
DTSTART;VALUE=DATE:20201028
DTEND;VALUE=DATE:20201031
DTSTAMP:20260604T104525
CREATED:20201019T200439Z
LAST-MODIFIED:20201019T200748Z
UID:19741-1603843200-1604102399@idre.ucla.edu
SUMMARY:4th Annual Humanitarian Mapathon with USC and UCLA
DESCRIPTION:REGISTRATION IS NOW OPEN\, RSVP HERE! \n\n\n\nWednesday October 28th\, 10am (PDT): \n\nWelcome message and humanitarian map training\n\nThursday October 29th: \n\nContinue mapping and a day of workshops9am Open Street Map with Python\n\n11am Open Data and Tableau\n1pm GIS with R\n3pm Introduction to QGIS\n\n\n\nFriday October 30th\, 10am (PDT): \n\nWrap-up and closing Keynote with Ben Welsh from the Los Angeles Times\nBen Welsh (LA Times Data Journalist)\n\nLocation: Zoom\nGo to website for more details \n\nOnce again\, UCLA and USC are hosting a special 3 day humanitarian mapathon. Last year we had nearly 150 mappers collectively map 17\,126 building outlines for projects around the world that were impacted by climate change. Our event was one of the single largest mapathons in the world that day! This year we will highlight mapping projects impacted by COVID-19 as well as other urgent projects that need our attention. \nOur goal is to map more than 20\,000 buildings. We can only do this if we work together. \nThis year’s event begins on Wednesday with a welcome from your organizers and a day of virtual training on how to use OSM. The next day you can continue mapping and also join us for a diverse set of GIS/mapping workshops. Finally on Friday we will announce how many buildings we have mapped\, give out prizes to the top mappers from each school\, and have a discussion with our closing keynote speaker\, Ben Welsh\, from the Los Angeles Times. \nShare this with friends\, students\, faculty — anyone who might be interested. This year continues to be challenging on so many fronts. We want this event to be a space where we can come together from USC\, UCLA\, and all across Los Angeles to make a difference in people’s lives. \nFor more information visit our website. Once you register we will keep you updated as the event gets closer with pre-event training opportunities and materials. \nHope to see you soon\, \nUCLA+USC organizing committee for the 2020 Humanitarian Mapathon \nFor questions or inquiries: \nUSC – Andy Rutkowski arutkows@usc.edu\nUCLA – Yoh Kawano yohman@gmail.com
URL:https://idre.ucla.edu/calendar-event/4th-annual-humanitarian-mapathon-with-usc-and-ucla
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Meetings,Presentations,UCLA event
ATTACH;FMTTYPE=image/png:https://idre.ucla.edu/wp-content/uploads/2020/10/4th-Annual-Mapathon.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201027T100000
DTEND;TZID=America/Los_Angeles:20201027T100000
DTSTAMP:20260604T104525
CREATED:20200925T180001Z
LAST-MODIFIED:20200929T174803Z
UID:19159-1603792800-1603792800@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (4) Convolutional Neural Networks
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.  \n\nThis 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. \nIn 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. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nTo register: https://ucla.zoom.us/meeting/register/tJEvf-mgpjMiHtOgC7q7MzP1D76Nxo7079Oj \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-4-convolutional-neural-networks-3
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201026T130000
DTEND;TZID=America/Los_Angeles:20201026T160000
DTSTAMP:20260604T104525
CREATED:20200925T171525Z
LAST-MODIFIED:20201019T170151Z
UID:19112-1603717200-1603728000@idre.ucla.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:Please RVSP here. \nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\nSPSS 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 class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or a reference manual. However\, it is possible for individuals to use the class notes to help them learn SPSS even if they don’t enroll in the class. These notes were developed using SPSS version 26\, but most of the material should work with slightly earlier or later versions of SPSS. \nThe workshop notes are here: https://stats.idre.ucla.edu/spss/seminars/notes/\nStudents should have access to SPSS\, either by having SPSS installed on your computer or via a subscription\, or via the CLICC Virtual Desktop (https://docs.library.ucla.edu/display/LSD/Access+a+CLICC+Virtual+Desktop ) (available only to those who are currently affiliated with UCLA). \nIf you have any further questions regarding the workshop\, please contact  Stats Group\, (IDREstat@ucla.edu).
URL:https://idre.ucla.edu/calendar-event/introduction-to-spss-7
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201022T100000
DTEND;TZID=America/Los_Angeles:20201022T100000
DTSTAMP:20260604T104525
CREATED:20200925T175813Z
LAST-MODIFIED:20200929T174609Z
UID:19155-1603360800-1603360800@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (3) Knowing PyTorch
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.  \n\nThis 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.  \nIn 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 knowledge of topics covered in the first and second session about machine/deep learning is assumed. Working experience of Python\, Jupyter Notebooks will be helpful to follow the demos. \nTo register: https://ucla.zoom.us/meeting/register/tJwldeyorzsjH9QP5xA00WHNJOXAOT6ZPLno \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-3-knowing-pytorch-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201020T140000
DTEND;TZID=America/Los_Angeles:20201020T160000
DTSTAMP:20260604T104525
CREATED:20200925T182703Z
LAST-MODIFIED:20201007T202741Z
UID:19190-1603202400-1603209600@idre.ucla.edu
SUMMARY:Introduction to Data Visualization
DESCRIPTION:Please RVSP here. \nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\nThere 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 outliers\, demonstrate trends\, or simply help us to understand our data better. Functioning as evidentiary support\, data visualizations can sharpen key research findings. They can effectively transmit and help give meaning to big datasets. It should be noted though that there are both benefits and drawbacks to turning information into graphics\, both practically and intellectually. In this workshop\, we will cover why people may choose to visualize data. We will discuss ways to organize and standardize data so that it visualizes in a clear manner. The workshop will expose participants to different types of data visualizations\, show them how to choose the right chart or graph for their content\, and share best practices for making those visualizations legible and accurate. With opportunities for hands-on work\, the workshop will cover various data viz tools that can be used to help get the job done for a wide-range of research needs. Tools covered in the workshop include: \nOpen Refine\nGoogle Pivot Tables and Charts\nTableau Public \nThere are no pre-requisite requirements to take this workshop\, but please make sure to RSVP! \nIf you have questions regarding the workshop\, please contact the instructor Francesca Albrezzi at falbrezzi@ucla.edu.
URL:https://idre.ucla.edu/calendar-event/intro-to-data-viz
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201020T100000
DTEND;TZID=America/Los_Angeles:20201020T100000
DTSTAMP:20260604T104525
CREATED:20200925T175040Z
LAST-MODIFIED:20200929T175230Z
UID:19145-1603188000-1603188000@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (2) Mechanics of Learning
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.  \n\nThis 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. \nIn 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. The knowledge of topics covered in the first session is assumed. Basic knowledge of calculus and linear algebra will be helpful to understand the details. \nTo register: https://ucla.zoom.us/meeting/register/tJIvcuihqjojG9wcL86TLX5Zns1cE04OSpdy \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-2-mechanics-of-learning
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201019T130000
DTEND;TZID=America/Los_Angeles:20201019T160000
DTSTAMP:20260604T104525
CREATED:20200925T170920Z
LAST-MODIFIED:20201019T170202Z
UID:19106-1603112400-1603123200@idre.ucla.edu
SUMMARY:Introduction to SAS
DESCRIPTION:Please RVSP here.  \nWorkshop will be conducted in Zoom. Invites are sent out the day before the workshop. \n\nSAS 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 experience using SAS for statistics\, graphics\, and data management. The SAS class notes do not contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. However\, it is possible for individuals to use the class notes to help in learning SAS even if they don’t enroll in the class. \nThe workshop notes are here: https://stats.idre.ucla.edu/sas/seminars/notes/ \nStudents should have access to SAS. There are several ways to access SAS\, including having SAS installed on your computer (meaning that you purchased a license for SAS); using SAS University Edition (https://www.sas.com/en_us/software/university-edition.html ); or via the CLICC Virtual Desktop (https://docs.library.ucla.edu/display/LSD/Access+a+CLICC+Virtual+Desktop ) (available only to those who are currently affiliated with UCLA). \nIf you have any further questions regarding the workshop\, please contact  Stats Group\, (IDREstat@ucla.edu).
URL:https://idre.ucla.edu/calendar-event/introduction-to-sas-5
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201019T100000
DTEND;TZID=America/Los_Angeles:20201019T120000
DTSTAMP:20260604T104525
CREATED:20200929T033125Z
LAST-MODIFIED:20201007T002313Z
UID:19270-1603101600-1603108800@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Introduction
DESCRIPTION: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 the Hoffman2 and how to submit batch and run interactive applications. \nThis introductory workshop addresses the specifics of the Hoffman2 cluster set-up\, it provides a survival guide on how to use the existing documentation\, how to navigate the unix command prompt and how to submit a variety of tasks for interactive or batch execution.  It provides in class demonstrations on how to connect to the cluster via the traditional unix shell and how to run jupyter notebooks on the Hoffman2 cluster. It introduces users to the environmental modules application set-up and how to find/install/run needed applications. \nPlease register here. \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Raffaella D’Auria
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-introduction-4
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201015T100000
DTEND;TZID=America/Los_Angeles:20201015T100000
DTSTAMP:20260604T104525
CREATED:20200925T174223Z
LAST-MODIFIED:20200929T174024Z
UID:19142-1602756000-1602756000@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (1) Introduction
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.  \n\nThis 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.  \nIn the first session of the series\, we will give a broad introduction about deep learning and neural network. No specific prerequisite is required. \nTo register: https://ucla.zoom.us/meeting/register/tJYrf-qsrzMrGtLhh7reLmRjFRLTlmHf_LIw \nAfter registering\, you will receive a confirmation email containing information about joining the meeting.  \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-1-introduction-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200827T100000
DTEND;TZID=America/Los_Angeles:20200827T113000
DTSTAMP:20260604T104525
CREATED:20200623T002428Z
LAST-MODIFIED:20200707T174206Z
UID:17351-1598522400-1598527800@idre.ucla.edu
SUMMARY:An In-Depth Introduction to Google Colab — Discovering how to use free CPU/GPU for coding and teaching
DESCRIPTION: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 scripting languages beyond Python (like R\, Julia or Javascript)? Do you realize that Colab can actually provide a democratized and parallel-programming environment of teaching for hundreds or thousands of students? In this talk\, we will try to address those questions and explore further possibilities for what Google Colab can do for your learning\, coding and teaching tasks. \nNo pre-requisite knowledge is required to grasp on the main part of the talk. But the experience on working in Jupyter Notebook will definitely be helpful to understand the technical details. \nPlease REGISTER in advance for this Zoom Meeting before joining. \nRegister \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/an-in-depth-introduction-to-google-colab
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200825T140000
DTEND;TZID=America/Los_Angeles:20200825T160000
DTSTAMP:20260604T104525
CREATED:20200623T002245Z
LAST-MODIFIED:20200820T233300Z
UID:17348-1598364000-1598371200@idre.ucla.edu
SUMMARY:Rebel Mapping: Critical Cartography
DESCRIPTION: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 the various building blocks within Esri StoryMaps. Participants are encouraged to walk away contemplating their role as a data analyst and question power relationships with maps. \nOutline: \n\n1 hour Lecture\n20 mins hands-on\n\n  \nIf you have any further questions regarding the workshop\, please contact instructors Albert Kochaphum and Mariah Tso. \nZoom link \n 
URL:https://idre.ucla.edu/calendar-event/rebel-mapping-critical-cartography
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200820T100000
DTEND;TZID=America/Los_Angeles:20200820T120000
DTSTAMP:20260604T104525
CREATED:20200623T001950Z
LAST-MODIFIED:20200630T164352Z
UID:17345-1597917600-1597924800@idre.ucla.edu
SUMMARY:Managing Python and R Packages Using Conda on Hoffman2 Cluster
DESCRIPTION: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 Hoffman2 cluster\, however\, the environment is structurally different from that of a personal computer; there are other best practices to be considered. For example\, while one can take advantage of the system-wide Anaconda base\, it is sometimes preferable to compose one’s own environment(s) to have particular packages. Another common situation is to install a community Python/R code that is outside of Anaconda’s base distribution but has to work with the existing installation. Thus\, in this workshop\, we will address how to use conda\, the package manager in Anaconda\, to deal with virtual environments and the file structure of package installation. The criteria\, availability\, the pros and cons of using the local and system-wide installations will be also discussed. \nRegister in advance: Click here to register using the Zoom meeting link \nIf you have any further questions regarding the workshop\, please contact instructor Jerry Huang.
URL:https://idre.ucla.edu/calendar-event/managing-python-and-r-packages-using-conda-on-hoffman2-cluster
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200819T120000
DTEND;TZID=America/Los_Angeles:20200819T140000
DTSTAMP:20260604T104525
CREATED:20200623T001646Z
LAST-MODIFIED:20200816T011911Z
UID:17341-1597838400-1597845600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster - Case Studies
DESCRIPTION: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; 3) showcase specific workflow classes (e.g.\, multicore\, parallel and job array submissions); 4) illustrate the process of creating MATLAB standalone executables and running MATLAB in batch; show examples of how to submit array jobs using MATLAB\, R and other applications; 5) give an overview on how to run machine learning applications on the Hoffman2 Cluster. \nIf you have any further questions regarding the workshop\, please contact instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-case-studies-4
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200819T090000
DTEND;TZID=America/Los_Angeles:20200819T110000
DTSTAMP:20260604T104525
CREATED:20200623T001448Z
LAST-MODIFIED:20200702T195403Z
UID:17337-1597827600-1597834800@idre.ucla.edu
SUMMARY:Introduction to Data Science with Python Part 2
DESCRIPTION: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 workshop series\, we introduce data science approaches that are fundamental regardless of your discipline. \nPart 1 will focus on how to get\, clean\, structure\, and explore data. Part 2 will focus on how to use data to build models and convey meaning. Along the way\, you will learn how to use the most popular tools of the trade today (Jupyter Notebooks and Python) and how to advance your research by exploiting open-source libraries such as pandas\, matplotlib\, seaborn\, and scikit-learn. \nThere are no pre-requisites for this workshop other than an interest in Data Science. \nIf you have any further questions\, please contact the instructors Yoh Kawano and Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-data-science-with-python-part-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200818T090000
DTEND;TZID=America/Los_Angeles:20200818T110000
DTSTAMP:20260604T104525
CREATED:20200623T001249Z
LAST-MODIFIED:20200702T195452Z
UID:17334-1597741200-1597748400@idre.ucla.edu
SUMMARY:Introduction to Data Science with Python Part 1
DESCRIPTION: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 workshop series\, we introduce data science approaches that are fundamental regardless of your discipline. \nPart 1 will focus on how to get\, clean\, structure\, and explore data. Part 2 will focus on how to use data to build models and convey meaning. Along the way\, you will learn how to use the most popular tools of the trade today (Jupyter Notebooks and Python) and how to advance your research by exploiting open-source libraries such as pandas\, matplotlib\, seaborn\, and scikit-learn. \nThere are no pre-requisites for this workshop other than an interest in Data Science. \nIf you have any further questions\, please contact the instructors Yoh Kawano and Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-data-science-with-python-part-1
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200817T130000
DTEND;TZID=America/Los_Angeles:20200817T160000
DTSTAMP:20260604T104525
CREATED:20200623T000933Z
LAST-MODIFIED:20200706T202603Z
UID:17331-1597669200-1597680000@idre.ucla.edu
SUMMARY:Introduction to Survey Data Analysis in R
DESCRIPTION: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. \nAttendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop. \nThe notes for the workshop are will be posted soon. \nIf you have any further questions regarding the workshop\, please contact instructor Christine Wells.
URL:https://idre.ucla.edu/calendar-event/introduction-to-survey-data-analysis-in-r
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200813T100000
DTEND;TZID=America/Los_Angeles:20200813T120000
DTSTAMP:20260604T104525
CREATED:20200623T000641Z
LAST-MODIFIED:20200917T061853Z
UID:17328-1597312800-1597320000@idre.ucla.edu
SUMMARY:Essential Command Line Tools in HPC Environments
DESCRIPTION: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\, these command-line tools can achieve (almost) infinite flexibility\, efficiency\, and reproducibility if used properly. For example\, when connecting with a remote server (e.g. a computing cluster)\, using the text-based tool is lightweight and fast without the overhead of launching the X11/graphical server on the local computer. Using text-based tools is not as hard (or mysterious) as it may sound once the basics are understood. Once using TUI becomes muscle memory\, one can focus on the subject of interest/research (e.g. editing a script/program or writing a manuscript) instead of operating the complex GUI. In this class\, we will explain and demonstrate a number of such text-based command-line tools by examples and use cases. We will also discuss useful tips for configuring (customizing) these tools. All of these tools can be easily installed on a personal computer\, a remote (or “cloud”) server\, or one’s supercomputer account without superuser privilege. Their use is identical across the platforms\, and they are expected to exist for many years to come. Specifically\, we will explore the following topics: \n\nvim text editors: demo of useful features\nssh (secure shell): beyond a login tool\ngit (version control) + vim integration examples\ntmux (terminal multiplexer): robust persistent console\nshell and shell script basics: important tips\n\nDue to time constraints\, each topic is not expected to be an exhaustive discussion of the underlying tools. \nPrerequisite: The attendee is expected to have a Hoffman2 cluster account in order to be able to follow along with the demos. See this page for account application information. \nRegister in advance:  Click here to REGISTER using the Zoom Meeting Link  \nIf you have any further questions regarding the workshop\, please contact instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/essential-command-line-tools-in-the-hpc-environment
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200812T120000
DTEND;TZID=America/Los_Angeles:20200812T140000
DTSTAMP:20260604T104525
CREATED:20200623T000352Z
LAST-MODIFIED:20200623T000352Z
UID:17325-1597233600-1597240800@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster - Intro
DESCRIPTION:Description coming soon. \n  \nIf you have any further questions regarding the workshop\, please contact instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-intro
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200811T140000
DTEND;TZID=America/Los_Angeles:20200811T160000
DTSTAMP:20260604T104525
CREATED:20200623T000113Z
LAST-MODIFIED:20200721T184300Z
UID:17322-1597154400-1597161600@idre.ucla.edu
SUMMARY:Introduction to Three Dimensional Graphing and WebVR
DESCRIPTION: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. In this workshop\, you will be introduced to ways to graph three dimensional data. You will also be shown how to bring that 3D graph into a browser environment so that your work can be shared through the Web.In the hands-on segment of the workshop\, we will be using the following tools:\n\nR\nA-Frame\nJupyter Notebooks\n\nThere are no pre-requisite requirements to take this workshop.\n  \nIf you have any further questions regarding the workshop\, please contact instructor Francesca Albrezzi.
URL:https://idre.ucla.edu/calendar-event/introduction-to-three-dimensional-graphing-and-webvr
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200807T110000
DTEND;TZID=America/Los_Angeles:20200807T120000
DTSTAMP:20260604T104525
CREATED:20200717T204426Z
LAST-MODIFIED:20200717T205701Z
UID:18324-1596798000-1596801600@idre.ucla.edu
SUMMARY:National Leadership Class Computing Resources and Opportunities for UCLA Researchers
DESCRIPTION: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 obtained through an application process based on the merit of the research objectives and demonstration of the efficacy and parallel scalability of the software.\nThis presentation aims to explain the capabilities of various “leadership class” computing facilities. It will also describe how IDRE may help transition UCLA researchers from local resources and take advantage of these “free” magnificent computing facilities. \nThe presentation will be virtual via zoom. The link will be sent once rsvp is received. \nRSVP link: https://ucla.zoom.us/meeting/register/tJElduGuqDIqGtVUsyivGzy_lPMqT0dzM-ZE
URL:https://idre.ucla.edu/calendar-event/national-leadership-class-computing-resources-and-opportunities-for-ucla-researchers-4
LOCATION:Zoom
CATEGORIES:Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200806T100000
DTEND;TZID=America/Los_Angeles:20200806T120000
DTSTAMP:20260604T104525
CREATED:20200622T235457Z
LAST-MODIFIED:20200724T203121Z
UID:17316-1596708000-1596715200@idre.ucla.edu
SUMMARY:Deep Learning in Medicine
DESCRIPTION: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: medical imaging analysis\, natural language processing and deep reinforcement learning. In each field\, some of the landscape will be sketched by taking a brief literature survey on the current deep-learning-related research. At the same time we will dig into a couple of specific topics via reviewing some recent exciting achievements as illustrating examples for the subject. The talk will be closed with a general discussion about the challenges of deep learning in the medical and healthcare field. \nThis workshop is for all audiences\, which means the presentation is oriented for people with a wide range of backgrounds (e.g. from data scientists to medical professionals) and for both novices and experts. \nPlease REGISTER in advance for this Zoom Meeting before joining. \nRegister \nAfter registering\, you will receive a confirmation email containing information about joining the meeting. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/deep-learning-in-medicine
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200804T140000
DTEND;TZID=America/Los_Angeles:20200804T160000
DTSTAMP:20260604T104525
CREATED:20200622T235253Z
LAST-MODIFIED:20200715T223025Z
UID:17313-1596549600-1596556800@idre.ucla.edu
SUMMARY:Introduction to GIS for the Social Sciences
DESCRIPTION:QGIS workshop for processing and visualizing demographic census data\, commonly used in the social sciences. \n  \nIf you have any further questions regarding the workshop\, please contact instructor Albert Kochaphum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-for-the-social-sciences
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200803T130000
DTEND;TZID=America/Los_Angeles:20200803T160000
DTSTAMP:20260604T104525
CREATED:20200622T234954Z
LAST-MODIFIED:20200706T202253Z
UID:17310-1596459600-1596470400@idre.ucla.edu
SUMMARY:Multiple Imputation in Stata
DESCRIPTION: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 developed using Stata 15. \nAttendance is restricted to researchers from the University of California.  The information for the Zoom meeting will be sent the day before the workshop. \nThe notes for the workshop are here. \nIf you have any further questions regarding the workshop\, please contact instructor Siavash Jalal.
URL:https://idre.ucla.edu/calendar-event/multiple-imputation-in-stata-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200728T090000
DTEND;TZID=America/Los_Angeles:20200728T120000
DTSTAMP:20260604T104525
CREATED:20200622T234612Z
LAST-MODIFIED:20200623T184803Z
UID:17305-1595926800-1595937600@idre.ucla.edu
SUMMARY:Introduction to SQL
DESCRIPTION: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. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have questions regarding the workshop\, please contact Ben Winjum. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-sql
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200721T090000
DTEND;TZID=America/Los_Angeles:20200721T110000
DTSTAMP:20260604T104525
CREATED:20200622T234028Z
LAST-MODIFIED:20200706T163413Z
UID:17302-1595322000-1595329200@idre.ucla.edu
SUMMARY:Introduction to GIS/Spatial Research with Python
DESCRIPTION:Register in advance: Please REGISTER using the Zoom Meeting Link before joining! \n\n  \nThere are no pre-requisites to take this workshops\, but it is recommended that you take the following two workshops: \n\nIntroduction to Jupyter\nVersion control with git\n\nAs 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 usually easy. It is driven by your passion to pursue a research question and to have maps assist in the development of an argument. The how is the difficult part. It may depend on what data you have\, what tools you have access to\, how comfortable you are with software packages\, if you are open to write code or use the command line. Often times\, your research question lends itself to a spatial argument. However\, providing insights to questions using spatial visualization tools is a process that involves any number of factors\, including: data acquisition\, data cleanup\, geo-enabling data\, geocoding data\, georeferencing data\, visualizing spatial data\, overlaying other spatial data\, conducting spatial analysis and/or geoprocessing\, analyzing results\, visualizing results\, and publishing results. \nIn the hands-on segment of the workshop\, we will be using the following tools to learn how to analyze and map COVID-19 data: \n\nGitHub\nPython\nJupyter Notebooks\n\nThere are no pre-requisite requirements to take this workshop. \nRegister in advance: Please REGISTER using the Zoom Meeting Link before joining! \nIf you have any further questions regarding the workshop\, please contact the instructor Yoh Kawano.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-spatial-research-with-python
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200714T090000
DTEND;TZID=America/Los_Angeles:20200714T120000
DTSTAMP:20260604T104525
CREATED:20200622T233729Z
LAST-MODIFIED:20200623T184825Z
UID:17299-1594717200-1594728000@idre.ucla.edu
SUMMARY:Version Control with Git
DESCRIPTION: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 to track changes\, to explore history\, and to use web-based Git repositories to share work with others and collaborate. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/version-control-with-git-3
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200707T090000
DTEND;TZID=America/Los_Angeles:20200707T110000
DTSTAMP:20260604T104525
CREATED:20200622T233527Z
LAST-MODIFIED:20200623T184846Z
UID:17296-1594112400-1594119600@idre.ucla.edu
SUMMARY:Introduction to Jupyter
DESCRIPTION: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 scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration showing what the Jupyter Notebook is\, how to use it\, and how it is being used in many different fields. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-jupyter-5
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200527T100000
DTEND;TZID=America/Los_Angeles:20200527T120000
DTSTAMP:20260604T104525
CREATED:20200415T214258Z
LAST-MODIFIED:20200422T023722Z
UID:16511-1590573600-1590580800@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Part II
DESCRIPTION: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 way to run python and R on Hoffman2. \nInformation for the Zoom meeting will be emailed the day before the workshop.  If you have questions regarding the workshop\, please contact the instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-ii-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200526T090000
DTEND;TZID=America/Los_Angeles:20200526T120000
DTSTAMP:20260604T104525
CREATED:20200417T175632Z
LAST-MODIFIED:20200422T023530Z
UID:16555-1590483600-1590494400@idre.ucla.edu
SUMMARY:Talk: "Power and Sample Size" with Stata Corp's Chuck Huber
DESCRIPTION: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 size\, and minimum detectable effect sizes for a range of values. We will conclude with a discussion of strategies to increase statistical power. \nThe second part of the talk demonstrates how to calculate power using simulation methods and how to create your own custom power calculation programs that leverage Stata’s -power- command to create custom tables and graphs.  We will work examples that simulate power for a t-test\, the interaction term in a linear regression model\, and the interaction term in a multilevel model.  Along the way you will learn how to create simulated datasets\, use Stata’s -simulate- command\, and how to write your own Stata commands using -program- and -syntax-. \nThe information for the Zoom meeting will be sent out the day before the presentation.
URL:https://idre.ucla.edu/calendar-event/talk-power-and-sample-size-with-stata-corps-chuck-huber
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200522T100000
DTEND;TZID=America/Los_Angeles:20200522T120000
DTSTAMP:20260604T104525
CREATED:20200413T172412Z
LAST-MODIFIED:20200513T183225Z
UID:16403-1590141600-1590148800@idre.ucla.edu
SUMMARY:Using SQL with Python for Data Analysis
DESCRIPTION: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 analysis.  No prior experience with SQL will be assumed;  prior experience with Python will be useful. \nPlease REGISTER using Zoom Meeting Link before joining! \nIf you have questions regarding the workshop\, please contact the instructor Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/using-sql-with-python-for-data-analysis
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR