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DTSTART;TZID=America/Los_Angeles:20210423T090000
DTEND;TZID=America/Los_Angeles:20210423T110000
DTSTAMP:20260406T083004
CREATED:20210310T222204Z
LAST-MODIFIED:20210317T214349Z
UID:21747-1619168400-1619175600@idre.ucla.edu
SUMMARY:Data Visualization with Python II: Making Interactive Plots and Widgets
DESCRIPTION:Python is a very popular language for computational and data science\, and it has many powerful capabilities for visualizing data.  Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood.  The second part of this series will explore various ways that Python can be used to make interactive graphics for exploring data and conceptualizing trends and dependencies.  We’ll dive into Python libraries for making interactive widgets\, plots\, and dashboards (ipywidgets\, bqplot\, voila\, plotly\, altair\, and bokeh).  These will be covered in interactive exercises so that attendees can gain direct experience in using these libraries. \nBasic familiarity with Python will be useful.  Please contact Ben Winjum if you have questions (or would like advice on getting up to speed before the workshop). \nRegistration required: https://ucla.zoom.us/meeting/register/tJwscu6opzkpH9Zozd0G_SZJW_aU1dmJWrW4
URL:https://idre.ucla.edu/calendar-event/data-visualization-with-python-ii-making-interactive-plots-and-widgets
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210421T090000
DTEND;TZID=America/Los_Angeles:20210421T110000
DTSTAMP:20260406T083004
CREATED:20210311T182321Z
LAST-MODIFIED:20210311T184212Z
UID:21781-1618995600-1619002800@idre.ucla.edu
SUMMARY:Introduction to Spatial Statistics with Python
DESCRIPTION:Registration link: https://ucla.zoom.us/meeting/register/tJwkdu6hqj4sG9ZioB0tM8VuXxA44AWGc6W- \n \nVisual interpretations are meaningful ways to determine spatial trends in our data. However\, underlying factors—such as inconsistent geographies\, scale\, data gaps\, overlapping data—have the potential to produce incorrect assumptions\, as valuable information may be conveniently hidden from the visual output. \nOne way to address this issue is to amend your visual output with geo-statistical validation. In this workshop\, we will use Python to look at one such approach: Spatial Autocorrelation. Spatial autocorrelation addresses the so-called “First Law of Geography”: \n“Everything is related to everything else. But near things are more related than distant things”. Waldo Tobler’s (1969) First Law of Geography \nIn other words\, things that happen somewhere are likely to also happen at nearby locations. \nRegistration link: https://ucla.zoom.us/meeting/register/tJwkdu6hqj4sG9ZioB0tM8VuXxA44AWGc6W-
URL:https://idre.ucla.edu/calendar-event/introduction-to-spatial-statistics-with-python
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210416T090000
DTEND;TZID=America/Los_Angeles:20210416T110000
DTSTAMP:20260406T083004
CREATED:20210310T222225Z
LAST-MODIFIED:20210317T212501Z
UID:21744-1618563600-1618570800@idre.ucla.edu
SUMMARY:Data Visualization with Python I: Plotting Fundamentals
DESCRIPTION:Python is a very popular language for computational and data science\, and it has many powerful capabilities for visualizing data.  Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood.  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 libraries for data viz:  Matplotlib\, Pandas\, and Seaborn.  We will go through several interactive exercises so that attendees can gain direct experience in using these libraries and will be prepared to learn more on their own after the workshop. \nBasic familiarity with Python will be useful.  Please contact Ben Winjum if you have questions (or would like advice on getting up to speed before the workshop). \nRegistration required: https://ucla.zoom.us/meeting/register/tJ0rcOqoqTIvH9UJetR8PSZwG1JUrhpFSlWV
URL:https://idre.ucla.edu/calendar-event/data-visualization-with-python-i-plotting-fundamentals
LOCATION:Zoom
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210308T130000
DTEND;TZID=America/Los_Angeles:20210308T160000
DTSTAMP:20260406T083004
CREATED:20201211T194435Z
LAST-MODIFIED:20210122T194608Z
UID:20568-1615208400-1615219200@idre.ucla.edu
SUMMARY:Multiple Imputation in R
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \nThe 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 using the package mice in R. We will also briefly go over some other useful packages in R for handling missing data. As prerequisite to this workshop\, we suggest participants have basic knowledge in R\, and if they do not have prior training in R\, the Introduction to R workshop can be found here:  https://stats.idre.ucla.edu/r/seminars/intro/ . \n  \nIf you have any further questions regarding the workshop\, please contact Stats Group.
URL:https://idre.ucla.edu/calendar-event/multiple-imputation-in-r
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210302T140000
DTEND;TZID=America/Los_Angeles:20210302T160000
DTSTAMP:20260406T083004
CREATED:20201211T212531Z
LAST-MODIFIED:20210208T173523Z
UID:20618-1614693600-1614700800@idre.ucla.edu
SUMMARY:Introduction to Photogrammetry and Mobile LiDAR Scanning
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \n3D models can be formed in a number of ways. Two common surveying methods that result in 3D models are photogrammetry and light detection and ranging or lidar for short. \nA form of photogrammetry has been around since the beginnings of photography in the mid-19th century. The term usually refers to the method by which 2D images are compared and combined using optics\, projective geometry\, and computing to produce a 3D model. This method of image overlap to create a dimensional model is applied in many object-oriented disciplines such as archeology\, topographic mapping\, architecture\, engineering\, manufacturing\, quality control\, police investigation\, cultural heritage\, and geology. \nLidar is a method for measuring distances (ranging) by illuminating the target with laser light and measuring the reflection with a sensor. Differences in laser return times and wavelengths can then be used to make digital 3D representations of the target. While long used in the earth sciences\, lidar is becoming increasingly available to all as these sensors are being added to cellular mobile devices\, increasing its academic and commercial potential. \nIn this workshop\, participants will learn about the hardware and software required for these methods. We will also cover the workflow that is involved in producing photogrammetric and lidar 3D models. All levels welcome. \nIf you have any further questions regarding the workshop\, please contact the instructor\, Dr. Francesca Albrezzi at falbrezzi@ucla.edu
URL:https://idre.ucla.edu/calendar-event/introduction-to-photogrammetry-and-mobile-lidar-scanning
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210301T140000
DTEND;TZID=America/Los_Angeles:20210301T160000
DTSTAMP:20260406T083004
CREATED:20201211T211920Z
LAST-MODIFIED:20201211T230116Z
UID:20606-1614607200-1614614400@idre.ucla.edu
SUMMARY:Parallel Computing using MPI and Julia
DESCRIPTION:This workshop will discuss the basics of MPI (message passing interface)\, and several distributed-memory parallel numerical computing examples using MPI. The Julia language will be used in the examples. It would be straightforward to translate the Julia examples into other languages\, such as C and Fortran\, if desired. \n[1] MPI: https://www.mpi-forum.org/\n[2] Julia language: https://julialang.org/ \nTo register: https://ucla.zoom.us/meeting/register/tJIldO2vqTgtGdbUz6N4Wv01vtjkNfcCEJLN \nIf you have any further questions regarding the workshop\, please contact the instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/parallel-computing-using-mpi-and-julia
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210225T100000
DTEND;TZID=America/Los_Angeles:20210225T120000
DTSTAMP:20260406T083004
CREATED:20201211T213414Z
LAST-MODIFIED:20201211T230525Z
UID:20631-1614247200-1614254400@idre.ucla.edu
SUMMARY:Learning Scikit-Learn
DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please register HERE in advance for this meeting.  \n\nAs machine learning gains more and more popularity in science and technology in recent years\, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an in-depth introduction to scikit-learn python library. The 2-hour session will consist of 3 parts: \n\nA high-level overview of scikit-learn’s major components and features.\nA hands-on demonstration on using scikit-learn to solve Titanic Kaggle Challenge\nBrief discussion on tools beyond scikit-learn: extension libraries and accelerations\n\nPrerequisite knowledge for the workshop includes Python programming and basic machine learning concepts. \nTo register: https://ucla.zoom.us/meeting/register/tJModeyqqz0rHtASigJNCXQOrcroztOnGF9c \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-scikit-learn
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210222T140000
DTEND;TZID=America/Los_Angeles:20210222T160000
DTSTAMP:20260406T083004
CREATED:20201211T200830Z
LAST-MODIFIED:20210222T194154Z
UID:20600-1614002400-1614009600@idre.ucla.edu
SUMMARY:Numerical Computing using Julia
DESCRIPTION:This workshop will illustrate using the Julia language [1] in data-driven modeling and computations. Specifically\, we will review the basic Julia language constructs for numerical computing\, then discuss 4 examples: \n1) Exploring COVID-19 dataset – data wrangling and visualization\n2) Image compression using singular value decomposition\n3) Solving differential equations\n4) Dynamical systems \n[1] https://julialang.org/ \nTo register: https://ucla.zoom.us/meeting/register/tJwuduugqDgpHNJFWaeSW6HBsm0TemVuG0Ky \nIf you have any further questions regarding the workshop\, please contact the instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/numerical-computing-using-julia
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210208T130000
DTEND;TZID=America/Los_Angeles:20210208T160000
DTSTAMP:20260406T083004
CREATED:20201211T193750Z
LAST-MODIFIED:20210122T194453Z
UID:20556-1612789200-1612800000@idre.ucla.edu
SUMMARY:Retiring Statistical Significance: Interpreting and Reporting P - Values and Confidence Intervals Without Significance Testing
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \nThe misuse of null hypothesis significance testing (NHST) and p-value thresholds\, together with selective reporting of statistically significant results\, have produced an inundation of overstated conclusions and unreplicable results in scientific research.  Many of these abuses come from misunderstandings of how to interpret p-values\, confidence intervals\, the words “statistical significance”\, and the uncertainty in a statistical result.  The misuse is so widespread that the American Statistical Association is calling for the retirement of NHST and the words “statistical significance”.  In this workshop\, you’ll learn current recommendations of how to interpret and report the results of statistical analyses to reflect the uncertainty in the findings and to make expectations of future replication more realistic.  Hopefully\, the adoption of these methods will refocus the aims of research to find scientifically significant rather than statistically significant results. \n  \nIf you have any further questions regarding the workshop\, please contact Stats Group.
URL:https://idre.ucla.edu/calendar-event/retiring-statistical-significance-interpreting-and-reporting-p-values-and-confidence-intervals-without-significance-testing
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210208T100000
DTEND;TZID=America/Los_Angeles:20210208T120000
DTSTAMP:20260406T083004
CREATED:20201211T200424Z
LAST-MODIFIED:20201212T011926Z
UID:20596-1612778400-1612785600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies (Part III)
DESCRIPTION:To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJYvd-CqrjorHtKARZmYRFDkp7TjcDS_gV_r \n\nThe 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. \nCase Studies II continue to address specific how to submit specific workflow classes such as array jobs and to monitor resource utilization. It looks into how to run applications on the nodes in the next version of the operating system and how to request GPU and run a variety of applications on them including machine learning. A questionnaire will be distributed beforehand to tailor the class as much as possible to the needs of the attendees \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-part-iii
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210204T100000
DTEND;TZID=America/Los_Angeles:20210204T120000
DTSTAMP:20260406T083004
CREATED:20201211T212818Z
LAST-MODIFIED:20201217T201454Z
UID:20622-1612432800-1612440000@idre.ucla.edu
SUMMARY:Using Anaconda to manage packages on Hoffman2 Cluster
DESCRIPTION:Anaconda is a popular\, free and open-source distribution of many packages for scientific computing and data analysis. It is easy to use Anaconda to install and manage packages because of its 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. One can take advantage of the system-wide Anaconda base to install one’s own packages or to build virtual environment. One can also install and use community codes based on the existing system setting outside of Anaconda’s base. In this workshop\, we will address how to use Anaconda to install and manage packages and virtual environments on Hoffman2. The criterion\, availability\, the pros and cons of using the local and system-wide installations will be also discussed.\n\nPlease REGISTER in advance: https://ucla.zoom.us/meeting/register/tJ0tceGtpz8sEtfT4pp2yFKckipGwRPEnW14\nIf you have any further questions regarding the workshop\, please contact the instructor Jerry Huang.
URL:https://idre.ucla.edu/calendar-event/using-anaconda-to-manage-packages-on-hoffman2-cluster
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210201T130000
DTEND;TZID=America/Los_Angeles:20210201T160000
DTSTAMP:20260406T083004
CREATED:20201211T194010Z
LAST-MODIFIED:20210122T194419Z
UID:20560-1612184400-1612195200@idre.ucla.edu
SUMMARY:R Markdown Basics
DESCRIPTION:Please REGISTER in advance here. \nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \nR 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 covers basic coding and conventions of the 3 frameworks upon which R Markdown depends:  Markdown for formatting text\, knitr for R code chunks\, and YAML for rendering the document.  The seminar does not assume any previous experience with R Markdown\, but attendees who wish to participate in seminar demonstrations should come with RStudio and R Markdown installed on their computers. \n  \nIf you have any further questions regarding the workshop\, please contact Stats Group.
URL:https://idre.ucla.edu/calendar-event/r-markdown-basics-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Meetings
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210201T100000
DTEND;TZID=America/Los_Angeles:20210201T120000
DTSTAMP:20260406T083004
CREATED:20201211T200244Z
LAST-MODIFIED:20201212T012240Z
UID:20592-1612173600-1612180800@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies (Part II)
DESCRIPTION:To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJYvdemopjkrGNJmY3LY6Ktr-mTUl6T8D8XS \n\nThe 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. \nCase Studies I addresses specific workflow classes such as: serial\, multi core\, parallel and array job submissions. It addresses the process of creating MATLAB standalone executables and running MATLAB in batch. Example of how to submit array jobs using MATLAB\, Abaqus\, R and other applications are discussed\, with hands on demonstration of various types of job submissions. \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-part-ii
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210129T090000
DTEND;TZID=America/Los_Angeles:20210129T110000
DTSTAMP:20260406T083004
CREATED:20201211T193216Z
LAST-MODIFIED:20250206T040744Z
UID:20548-1611910800-1611918000@idre.ucla.edu
SUMMARY:Census Data Analysis and Mapping with Python
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\nIn this hands on workshop\, you will be provided with a Jupyter Notebook workspace to import census data\, explore\, clean\, and prepare the data for analysis using python. You will also learn how to create compelling choropleth maps with selected variables that can be used for publications. \nIf you have any further questions regarding the workshop\, please contact the instructor Yoh Kawano and Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/census-data-analysis-and-mapping-with-python
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210127T140000
DTEND;TZID=America/Los_Angeles:20210127T150000
DTSTAMP:20260406T083004
CREATED:20201211T192838Z
LAST-MODIFIED:20201211T214605Z
UID:20543-1611756000-1611759600@idre.ucla.edu
SUMMARY:Introduction to GIS for the Social Sciences with QGIS
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \nDescription Coming Soon \n  \nIf you have any further questions regarding the workshop\, please contact the instructor Albert Kochaphum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-for-the-social-sciences-with-qgis
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210126T140000
DTEND;TZID=America/Los_Angeles:20210126T160000
DTSTAMP:20260406T083004
CREATED:20201211T212358Z
LAST-MODIFIED:20210119T211721Z
UID:20614-1611669600-1611676800@idre.ucla.edu
SUMMARY:Zoomed Out? Creating Alternative VR Environments with Mozilla Hubs
DESCRIPTION:Please REGISTER in advance here.\nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\n  \nWhile we are working remotely\, there are many ways that we can share virtual space. Mozilla Hubs is a Web-based platform that provides users with three dimensional virtual space that can allow for links\, videos\, 2D and 3D objects\, and live interaction. As an alternative to zoom\, Mozilla Hubs has been used for poster sessions\, conferences\, performances\, exhibitions\, and more. It can also be accessed through a virtual reality headset for an immersive experience. \nIn this workshop\, participants will be introduced to Mozilla Hubs and how to use the built-in functionality. For more customized environments\, we will also cover how to build your own basic environment and bring it into Mozilla Hubs through Spoke\, Mozilla Hub’s web editor. \n  \nIf you have any further questions regarding the workshop\, please contact the instructor\, Dr. Francesca Albrezzi at falbrezzi@ucla.edu
URL:https://idre.ucla.edu/calendar-event/creating-vr-environments-mozilla-hubs-and-blender-basics
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210125T100000
DTEND;TZID=America/Los_Angeles:20210125T120000
DTSTAMP:20260406T083004
CREATED:20201211T195900Z
LAST-MODIFIED:20201211T235428Z
UID:20588-1611568800-1611576000@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Introduction (Part I)
DESCRIPTION:To register please follow the Zoom link: https://ucla.zoom.us/meeting/register/tJcvcemurj0oHNwvsIvaqVDp2Uyqntnv2kpq \n\nThe 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. \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-part-i
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210122T090000
DTEND;TZID=America/Los_Angeles:20210122T103000
DTSTAMP:20260406T083004
CREATED:20201211T195506Z
LAST-MODIFIED:20210104T200658Z
UID:20584-1611306000-1611311400@idre.ucla.edu
SUMMARY:Numerical Computing with Python: Numerical Modeling
DESCRIPTION:Python is a general-purpose programming language that is easy to learn and widely used.  It is one of the primary programming languages for data science\, and when combined with its modules such as NumPy\, SciPy\, Matplotlib\, and Pandas\, it can be a very powerful tool for numerical computing. \nThe third part of this hands-on series will be an overview of using Python for numerical programming.  We will focus on a few illustrative numerical problems based on curve fitting\, finding solutions to a set of linear equations\, and numerical differentiation and integration\, with the aim being to provide a good foundation for further exploration and programming activity. \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 Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/numerical-computing-with-python-numerical-modeling
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210115T090000
DTEND;TZID=America/Los_Angeles:20210115T103000
DTSTAMP:20260406T083004
CREATED:20201211T195321Z
LAST-MODIFIED:20210104T185517Z
UID:20580-1610701200-1610706600@idre.ucla.edu
SUMMARY:Numerical Computing with Python: Intro to Numpy\, Scipy\, and Pandas
DESCRIPTION:Python is a general-purpose programming language that is easy to learn and widely used.  It is one of the primary programming languages for data science\, and when combined with its modules such as NumPy\, SciPy\, Matplotlib\, and Pandas\, it can be a very powerful tool for numerical computing. \nThe second part of this hands-on series will introduce you to the modules that enable Python to function as a powerful numerical programming language:  NumPy\, SciPy\, and Pandas.  By the end\, you will be familiar with the ecosystem of numerical tools contained in these modules and fundamental ways to use them. \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 Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/numerical-computing-with-python-intro-to-numpy-scipy-and-pandas
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210108T090000
DTEND;TZID=America/Los_Angeles:20210108T103000
DTSTAMP:20260406T083004
CREATED:20201211T194702Z
LAST-MODIFIED:20210104T184125Z
UID:20572-1610096400-1610101800@idre.ucla.edu
SUMMARY:Numerical Computing with Python: Python Basics
DESCRIPTION:Python is a general-purpose programming language that is easy to learn and widely used.  It is one of the primary programming languages for data science\, and when combined with its modules such as NumPy\, SciPy\, Matplotlib\, and Pandas\, it can be a very powerful tool for numerical computing. \nThe first part of this hands-on series will introduce you to the basic concepts and features of Python.  By the end\, you should be able to read and write basic Python modules and programs\, and you should have enough Python exposure to continue learning more on your own. \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 Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/numerical-computing-with-python-python-basics
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201124T090000
DTEND;TZID=America/Los_Angeles:20201124T110000
DTSTAMP:20260406T083004
CREATED:20200925T173516Z
LAST-MODIFIED:20200928T180448Z
UID:19133-1606208400-1606215600@idre.ucla.edu
SUMMARY:Make and Makefiles
DESCRIPTION:Description coming soon. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have any questions regarding this event\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/make-and-makefiles
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201117T140000
DTEND;TZID=America/Los_Angeles:20201117T160000
DTSTAMP:20260406T083004
CREATED:20200925T183221Z
LAST-MODIFIED:20201109T215106Z
UID:19198-1605621600-1605628800@idre.ucla.edu
SUMMARY:Beginning Programming for Creatives
DESCRIPTION:Please RVSP here. \nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\nThe digital realm is becoming an increasingly popular space for creatives. By creatives\, I don’t just mean artists\, but anyone who wants to harness their creativity\, skill\, and imagination to produce something with a personal touch and flair. From interactivity to detailed design\, browser windows can connect with viewers in powerful ways. So how do you start making the computer screen your canvas? It starts with programming. \n  \nProgramming is writing instructions that computers can understand and execute. For more than fifty years\, computer programmers have been writing code and there are now more than 2\,500 documented programming languages. So which language do you start with? What are the differences? \n  \nIn this workshop\, you will receive an introduction to the basics of programming. Specifically\, we will cover: \n  \n\nWhat is programming\nWhat is processing\nThe difference between Low-Level vs High Level programming languages\nThe difference between Client Side vs. Service Side Programs\np5.js\, a free and open-source JavaScript library for creative coding\, with a focus on making coding accessible and inclusive for artists\, designers\, educators\, and beginners\nHow to use the p5.js web editor\nHow to create shapes and draw using p5.js\n\n  \nAll levels welcome and no experience required.  \n  \nIf you have any further questions regarding the workshop\, please contact the instructor\, Dr. Francesca Albrezzi at falbrezzi@ucla.edu.
URL:https://idre.ucla.edu/calendar-event/beginning-programming-for-creatives
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201117T090000
DTEND;TZID=America/Los_Angeles:20201117T110000
DTSTAMP:20260406T083004
CREATED:20200925T172950Z
LAST-MODIFIED:20200928T180506Z
UID:19126-1605603600-1605610800@idre.ucla.edu
SUMMARY:Jupyter Advanced Topics
DESCRIPTION:This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of plotting tools and magics\, followed by demonstrations of how to make interactive widgets for interactive visualizations and dashboards and how to generate analysis pipelines and reports. Basic familiarity with Python will be assumed. \nRegister in advance:  Please REGISTER using the Zoom Meeting Link before joining! \nIf you have any questions regarding this event\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/jupyter-advanced-topics-3
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20201117
DTEND;VALUE=DATE:20201120
DTSTAMP:20260406T083004
CREATED:20201030T214602Z
LAST-MODIFIED:20201030T214731Z
UID:20164-1605571200-1605830399@idre.ucla.edu
SUMMARY:UC GIS Week
DESCRIPTION:Register now for the first UC GIS Week conference from Nov. 17th – 19th!  \n \nThe UC GIS Week committee is proud to announce the first UC-wide GIS Week. Join us for a 3-day virtual conference which celebrates the GIS work of the University of California faculty\, staff\, students\, and alumni. The University of California system is holding an inaugural UC GIS Week on November 17th – 19th\, 2020 through Zoom. \nWe will celebrate all things mapping and geospatial. In light of the challenging times\, we are coming together virtually to share our work with our community. Researchers\, students\, industry partners\, alumni\, and community mappers\, will share their accomplishments and inspire others through their mapping. \nThis is an opportunity for you to learn and engage with experts and mapping projects across the UC system and beyond! Ask questions during the thematic mapping panels\, engage with GIS industry professionals\, interact with posters presenters\, and connect during social events. \n  \nAll talks are free and open to the public! \n  \nYour registration entitles you attend any or all of the tentatively scheduled events below: \nTuesday – 11/17 \n11am – 12pm: Opening plenary – Collaboration Across the UCs \n1pm – 2pm: Historical GIS | Policy Poster Session \n3pm – 4pm: Afternoon Historical GIS Workshop | Career Panel #1 \n  \nWednesday – 11/18 \n11am – 12pm: Remote Sensing | Mapping for Equality \n1pm – 2pm: Public Health | Career Panel #2 \n3pm – 4pm: Policy and Mapping – Lightning Talks | Environmental Science and Public Health Poster Session \n  \nThursday – 11/19 \n11am – 12pm: Environmental Science and Mapping – Lightning Talks \n1pm – 2pm: Regional and Urban GIS \n3pm – 4pm: Afternoon Risk Assessments Workshop \n  \nRegister now to stay informed and get early access to the 1st UC GIS Week digital swag bag! \nFor more info visit the UC GIS Week page. Would you like to contribute digital swag or have questions? Email: ucgisweek@gmail.com
URL:https://idre.ucla.edu/calendar-event/uc-gis-week
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201116T100000
DTEND;TZID=America/Los_Angeles:20201116T120000
DTSTAMP:20260406T083004
CREATED:20201005T183454Z
LAST-MODIFIED:20201102T064210Z
UID:19203-1605520800-1605528000@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies II
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.  \nCase Studies II continue to address specific how to submit specific workflow classes such as array jobs and to monitor resource utilization. It looks into how to run applications on the nodes in the next version of the operating system and how to request GPU and run a variety of applications on them including machine learning. A questionnaire will be distributed beforehand to tailor the class as much as possible to the needs of the attendees. \nPlease RVSP 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 Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-case-studies-ii
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201112T100000
DTEND;TZID=America/Los_Angeles:20201112T120000
DTSTAMP:20260406T083004
CREATED:20200925T181217Z
LAST-MODIFIED:20201007T184625Z
UID:19175-1605175200-1605182400@idre.ucla.edu
SUMMARY:Markdown for Technical Writing
DESCRIPTION:Note the corrected date: Nov 12. We will discuss using Markdown (a light-weight markup language with plain-text formatting syntax) for technical writing\, including the support of LaTeX-style mathematics typesetting and bibliography. The approach can be applied to writing dissertation\, research manuscripts\, presentation slides\, and web pages from the same set of source files. A number of documentation-building tools around the Markdown format will be introduced. We will also discuss using GitHub and Travis CI for version control and automatic building of documents and web pages. All of the open-source tools introduced (e.g. pandoc) can be installed on the user’s own computers or a remote cluster account\, without superuser privilege. \nTo register: https://ucla.zoom.us/meeting/register/tJwqfuqhqz4sE9fSBXPjC0GBiXYXGwfzCNr5 \nWorkshop will be conducted in Zoom in PST time. \nIf you have any further questions regarding the workshop\, please contact instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/markdown-for-technical-writing
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201110T100000
DTEND;TZID=America/Los_Angeles:20201110T100000
DTSTAMP:20260406T083004
CREATED:20200925T173839Z
LAST-MODIFIED:20200929T172828Z
UID:19137-1605002400-1605002400@idre.ucla.edu
SUMMARY:Advanced Graphics with Matlab
DESCRIPTION:MATLAB has been used in research and the industry for computations\, data analysis and visualization across multiple disciplines such as physical sciences\, engineering\, economics\, and biomedical fields. This class will demonstrate how to use MATLAB to create data visualization and animation for publications or presentations. We will discuss many plotting functions and techniques available in MATLAB and learn how to use these commands to handle and customize your graphics in practice. The materials include simple 2D/3D plots to present scalers and vectors\, filled plots to handle continuously spatial data\, geographic plots to deal with geographic information\, animation to show variation in temporal data. We will also discuss the methods to save figures to specific file formats. Due to a similar structure to MATLAB function\, the corresponding commands of Matplotlib used in Python will be also introduced so one can easily apply these plotting techniques in Python. \nTo register: https://ucla.zoom.us/meeting/register/tJArdeurpzsqG9RNwrLhtxhHjAB5HDZ2ljR1 \nWorkshop will be conducted in Zoom in PST time. \nIf you have any further questions regarding the workshop\, please contact instructor\, Jerry Huang. \n 
URL:https://idre.ucla.edu/calendar-event/advanced-graphics-with-matlab
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201109T130000
DTEND;TZID=America/Los_Angeles:20201109T160000
DTSTAMP:20260406T083004
CREATED:20200925T172302Z
LAST-MODIFIED:20201019T170109Z
UID:19119-1604926800-1604937600@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Please RVSP here. \nWorkshop will be conducted in Zoom in PST time. Invites are sent out the day before the workshop. \n\nStata is a powerful and yet easy-to-use statistical package that runs on Windows\, Macintosh and Unix platforms. This class is designed for people who are just getting started using Stata. The students in the class will have a hands-on experience using Stata for statistics\, graphics and data management. The class notes are the scripts for the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the output. The class notes are not meant to be a Stata textbook or a reference manual. However\, it is possible for individuals to use the class notes to help in learning Stata even if they don’t enroll in the class. \nThe workshop notes are here: https://stats.idre.ucla.edu/stata/seminars/stata-16-class-notes/\nStudents should have access to Stata\, either by having Stata installed on your computer 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-stata-6
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201105T100000
DTEND;TZID=America/Los_Angeles:20201105T100000
DTSTAMP:20260406T083004
CREATED:20200925T181020Z
LAST-MODIFIED:20201001T171128Z
UID:19172-1604570400-1604570400@idre.ucla.edu
SUMMARY:Julia Language for Advanced Computations: Perspectives and Outlook
DESCRIPTION:We will explore the features of the Julia programming language in the context of research computing\, and compare it with other scripting languages such as Python and MATLAB. We will also discuss Julia language’s ecosystem\, including its standard library\, documentation system\, unit test\, package management and more\, from the standpoints of reproducible computational science and modern software engineering. \nTo register: https://ucla.zoom.us/meeting/register/tJMsdO-qrz8rHtdobJlc5Zg8mGSS12TVnL5I \nWorkshop will be conducted in Zoom in PST time. \nIf you have any further questions regarding the workshop\, please contact instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/julia-language-for-computational-sciences-perspectives-and-outlook
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201103T100000
DTEND;TZID=America/Los_Angeles:20201103T100000
DTSTAMP:20260406T083004
CREATED:20200925T180701Z
LAST-MODIFIED:20200929T175134Z
UID:19168-1604397600-1604397600@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (6) Generative Adversarial 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 sixth session of the series\, we will introduce Generative Adversarial Networks (GANs) and illustrate the fundamental GAN techniques on how to use DCGANs to generate dog images with PyTorch. The knowledge of topics covered in the previous sessions (especially CNNs) is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nTo register: https://ucla.zoom.us/meeting/register/tJMrduCtqz0uGNePF3cHIPxsdsCQJCxiBGYz \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-6-generative-adversarial-networks
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR