BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Institute for Digital Research and Education - ECPv6.16.4//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://idre.ucla.edu X-WR-CALDESC:Events for Institute for Digital Research and Education REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20190310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20191103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20200308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20201101T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20210314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20211107T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20220313T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20221106T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210517T100000 DTEND;TZID=America/Los_Angeles:20210517T120000 DTSTAMP:20260619T151926 CREATED:20210311T025014Z LAST-MODIFIED:20210408T182519Z UID:21775-1621245600-1621252800@idre.ucla.edu SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies (Part II) DESCRIPTION:** THIS WORKSHOP IS BEING RESCHEDULED TO MAY 17\, 2021 ** \nThe Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part II 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 cluster and how to submit batch and run interactive applications. \nCase Studies 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. Examples 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. \nRegistration required: https://ucla.zoom.us/meeting/register/tJUpd-qtrz8vHdNnfXFLidkdURc8spydPuuA URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-case-studies-part-ii-2 LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210512T100000 DTEND;TZID=America/Los_Angeles:20210512T120000 DTSTAMP:20260619T151926 CREATED:20210310T222116Z LAST-MODIFIED:20210316T171933Z UID:21752-1620813600-1620820800@idre.ucla.edu SUMMARY:High-Performance Data Science in Python (2) DataFrame Game DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please REGISTER in advance for this lecture. \n\nWhile Python becomes the most popular programming language since 2019\, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series\, we will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. \nIn the second session\, we will focus on how to load/process the super big dataset in Python using a single machine and comparing the dataframe implementations from Pandas\, Modin\, Pandarallel\, Dask and Vaex etc. Although no specific prerequisite is required to attend the talk\, having programming experience in Python’s numpy and Pandas packages will be helpful to fully understand the lecture content. \nTo register: https://ucla.zoom.us/meeting/register/tJwsfuytrj8oGdXT__uoR0u5ReA5kLNCSoyN \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/high-performance-data-science-in-python-2-dataframe-game LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210510T130000 DTEND;TZID=America/Los_Angeles:20210510T160000 DTSTAMP:20260619T151926 CREATED:20210316T002104Z LAST-MODIFIED:20210329T202733Z UID:21808-1620651600-1620662400@idre.ucla.edu SUMMARY:Introduction to Regression in R DESCRIPTION:Zoom registration required: https://ucla.zoom.us/meeting/register/tJAocumvrTkoHdVjqIGxWTdErUZLo_Z5hccE \nRegression analysis is one of the most powerful statistical techniques that is used to explain variability in a response (dependent) variable as a function of one or more predictor (explanatory or independent) variables. The aim of this seminar is to help participants increase their skills in using regression analysis with R. The seminar begins with simple regression and generalizes the methods to multiple regression\, followed by regression diagnostics. The seminar briefly reviews regression concepts as necessary\, but it is assumed that participants have had at least a one quarter/semester course in introduction to statistics and also basic familiarity with R (see the Introduction to R seminar for a tutorial). URL:https://idre.ucla.edu/calendar-event/introduction-to-regression-in-r-2 LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210510T100000 DTEND;TZID=America/Los_Angeles:20210510T120000 DTSTAMP:20260619T151926 CREATED:20210311T024925Z LAST-MODIFIED:20210408T175521Z UID:21773-1620640800-1620648000@idre.ucla.edu SUMMARY:Running Applications on the Hoffman2 Cluster: Intro (Part I) DESCRIPTION:** THIS WORKSHOP IS BEING RESCHEDULED TO MAY 10\, 2021 ** \nThe Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part I 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 cluster 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. \nRegistration required: https://ucla.zoom.us/meeting/register/tJIsc-iqqD8sHtOyC1Ha1ik3ZqLq7dMevy2R URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-intro-part-i LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210505T100000 DTEND;TZID=America/Los_Angeles:20210505T120000 DTSTAMP:20260619T151926 CREATED:20210310T222133Z LAST-MODIFIED:20210316T171912Z UID:21749-1620208800-1620216000@idre.ucla.edu SUMMARY:High-Performance Data Science in Python (1) Interpreter War DESCRIPTION:Workshop will be conducted in Zoom in PST time. Please REGISTER in advance for this lecture. \n\nWhile Python becomes the most popular programming language since 2019\, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series\, we will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. \nIn the first session\, we will focus on how to boost the speed of python code in an interperter level by explaining the concepts (e.g. GIL\, GIT) and introducing the packages of pypy\, numba\, pythran\, cython etc. Although no specific prerequisite is required to attend the talk\, having programming experience in Python will be helpful to fully understand the lecture content. \nTo register: https://ucla.zoom.us/meeting/register/tJItdemvrz0vE9b_GXTvZacIpjNNq8vKyVIX \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/high-performance-data-science-in-python-1-interpreter-war LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210503T140000 DTEND;TZID=America/Los_Angeles:20210503T160000 DTSTAMP:20260619T151926 CREATED:20210310T222148Z LAST-MODIFIED:20210311T184805Z UID:21738-1620050400-1620057600@idre.ucla.edu SUMMARY:Package Management in Julia DESCRIPTION:The Julia language has a rich and fast-growing ecosystem in the form of open-source packages. We will cover the fundamentals of Julia’s package management system\, using either via the REPL (interactive command prompt) or the Pkg package\, and show how to manage multiple sets of packages in the user environment. We will also discuss how to organize your Julia code into a package and share with others. \nRegistration required: https://ucla.zoom.us/meeting/register/tJEode2gpjgpEtZYbkbkZEEI3jjJ9rk_inSK URL:https://idre.ucla.edu/calendar-event/package-management-in-julia LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210503T130000 DTEND;TZID=America/Los_Angeles:20210503T160000 DTSTAMP:20260619T151926 CREATED:20210316T001305Z LAST-MODIFIED:20210329T202548Z UID:21804-1620046800-1620057600@idre.ucla.edu SUMMARY:R Graphics: Introduction to ggplot2 DESCRIPTION:Zoom registration required: https://ucla.zoom.us/meeting/register/tJAucO-orzkvHtGtJFXfN76vvx75TY-1QxIG \nThis seminar teaches the “grammar” of graphics that underlies the ggplot2 package\, allowing the user to build eye-catching\, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics\, including aesthetics\, geoms\, scales\, and themes\, and we will show you how easy ggplot2 makes it to integrate these elements to make informative and beautiful graphics. The seminar is meant to be interactive with attendees participating in the coding\, so some very basic R coding knowledge is helpful but not required. URL:https://idre.ucla.edu/calendar-event/r-graphics-introduction-to-ggplot2-2 LOCATION:Zoom CATEGORIES:Classes and Workshops END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210429T100000 DTEND;TZID=America/Los_Angeles:20210429T110000 DTSTAMP:20260619T151926 CREATED:20210401T201554Z LAST-MODIFIED:20210401T205514Z UID:21833-1619690400-1619694000@idre.ucla.edu SUMMARY:Singularity on Hoffman2: Using containers on HPC resources DESCRIPTION:Singularity is a free\, cross-platform and open-source software that can run Operating System Virtualization also known as Containerization. This type of virtualization allows you to run an Operating System within a host Operating System. Hoffman2 has the ability to run containerized software with singularity. This presentation will demonstrate using Singularity on Hoffman2. This presentation will also go over several examples of running containers on Hoffman2 and creating containers to run custom user applications. \nIf you have any further questions regarding this workshop please contact the instructor Charles Peterson. \nRegistration required: https://ucla.zoom.us/meeting/register/tJYkcu-tqT0qGdUKKyuJMI4BCsEBQ4mqU_CS URL:https://idre.ucla.edu/calendar-event/singularity-on-hoffman2-using-containers-on-hpc-resources LOCATION:Zoom END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20210423T090000 DTEND;TZID=America/Los_Angeles:20210423T110000 DTSTAMP:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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:20260619T151926 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 END:VCALENDAR