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X-WR-CALDESC:Events for Institute for Digital Research and Education
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DTSTART;TZID=America/Los_Angeles:20190131T140000
DTEND;TZID=America/Los_Angeles:20190131T160000
DTSTAMP:20260429T114802
CREATED:20181207T181058Z
LAST-MODIFIED:20181212T192219Z
UID:11793-1548943200-1548950400@idre.ucla.edu
SUMMARY:Using Globus From the Command Line
DESCRIPTION:This short course will cover the basics of the Globus file transfer platform. We will discuss installation and configuration on Windows\, MacOS\, and Linux. Of particular interest will be using Globus from the command line. We will cover the installation of the GlobusCLI\, initiating and monitoring transfers and some basic troubleshooting. The goal will be to develop basic skills that will enable the participant to incorporate GlobusCLI commands and data transfers into their workflows. A laptop and an account on Hoffman2 or access to a CASS endpoint running Globus is ideal to follow along with examples\, but not required. \n\nIf you have any questions or comments regarding this event\, please contact Scott Friedman.
URL:https://idre.ucla.edu/calendar-event/using-globus-from-the-command-line
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190123T110000
DTEND;TZID=America/Los_Angeles:20190123T130000
DTSTAMP:20260429T114802
CREATED:20190102T215541Z
LAST-MODIFIED:20190102T215541Z
UID:12003-1548241200-1548248400@idre.ucla.edu
SUMMARY:Introduction to GIS: Got data? Let's map it!
DESCRIPTION:RSVP HERE \nIt is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis\, this course offers an introduction to Geographic Information Systems\, GIS\, as a means to spatialize and analyze your data. As a hands-on course\, you will learn how to download data\, manipulate and join data to existing geographic boundaries\, and create stunning cartographic representations. There are no pre-requisite requirements to take this workshop.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-got-data-lets-map-it
LOCATION:Young Research Library\, West Classroom\, 280 Charles E Young Dr N\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190116T113000
DTEND;TZID=America/Los_Angeles:20190116T143000
DTSTAMP:20260429T114802
CREATED:20190102T232944Z
LAST-MODIFIED:20190103T164536Z
UID:12000-1547638200-1547649000@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:REGISTER HERE\nOverview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-7
LOCATION:Young Research Library\, West Classroom\, 280 Charles E Young Dr N\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190116T090000
DTEND;TZID=America/Los_Angeles:20190117T160000
DTSTAMP:20260429T114802
CREATED:20181211T012116Z
LAST-MODIFIED:20181220T183218Z
UID:11826-1547629200-1547740800@idre.ucla.edu
SUMMARY:NVIDIA's training on Accelerated and Deep learning Fundamentals using GPUs
DESCRIPTION:Agenda Day 1 – Jan 16\, 2019\, 9AM-4PM: Fundamentals of Accelerated Computing with OpenACC\nLearn the basics of OpenACC\, a high-level programming language for programming on GPUs. This course is for anyone with some C/C++ experience who is interested in accelerating the performance of their applications beyond the limits of CPU-only programming. In this course\, you’ll learn: \n\nHow to profile and optimize your CPU-only applications to identify hot spots for acceleration\nHow to use OpenACC directives to GPU accelerate your codebase\nHow to optimize data movement between the CPU and GPU accelerator\nOn completion of this course\, you’ll be ready to use OpenACC to GPU accelerate CPU-only applications.\n\nAgenda Day 2 – Jan 17\, 2019\, 9AM-4PM: Fundamentals of Deep Learning for Computer Vision\nIn this hands-on course\, you will learn the basics of deep learning by training and deploying neural networks. You will: \n\nImplement common deep learning workflows such as Image Classification and Object Detection.\nExperiment with data\, training parameters\, network structure\, and other strategies to increase performance and capability.\nDeploy your networks to start solving real-world problems.\n\nOn completion of this course\, you will be able to start solving your own problems with deep learning. \nNote: Please bring your fully charged laptop to participate \, and a GPU in your laptop is not required. \nAdditional information:\nNVIDIA developer site: https://developer.nvidia.com/developer-program\nGet started on OpenACC: https://www.openacc.org/get-started\nOpenACC courses: https://developer.nvidia.com/openacc-courses\nDeep Learning: https://developer.nvidia.com/deep-learning\nArtificial Intelligence: https://devblogs.nvidia.com/category/artificial-intelligence/
URL:https://idre.ucla.edu/calendar-event/idre-nvidia-jan2019
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190109T113000
DTEND;TZID=America/Los_Angeles:20190109T133000
DTSTAMP:20260429T114802
CREATED:20190102T233027Z
LAST-MODIFIED:20190103T185440Z
UID:11998-1547033400-1547040600@idre.ucla.edu
SUMMARY:Introduction to Statistical Software
DESCRIPTION:REGISTER HERE\nThis hands-on workshop will introduce some commonly used statistical software packages\, including R\, SAS\, SPSS\, and Stata. Taught by Christine Wells (Institute for Digital Research and Education). \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-statistical-software-2
LOCATION:Research Commons (RC) Classroom\, 11630F Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190109T090000
DTEND;TZID=America/Los_Angeles:20190110T163000
DTSTAMP:20260429T114802
CREATED:20190102T193327Z
LAST-MODIFIED:20190103T185256Z
UID:11992-1547024400-1547137800@idre.ucla.edu
SUMMARY:Software Carpentry: Python for Researchers
DESCRIPTION:REGISTER HERE\nSoftware Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools\, including program design\, version control\, data management\, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. \nFor more information on what we teach and why\, please see our paper “Best Practices for Scientific Computing“. \nWho: The course is aimed at graduate students and other researchers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop. \nWhere: IDRE Portal. Get directions with OpenStreetMap or Google Maps. \nWhen: Jan 9-10\, 2019 at 9:00 am to 4:30 pm\, daily. Add to your Google Calendar. \nRequirements: Participants must bring a laptop with a Mac\, Linux\, or Windows operating system (not a tablet\, Chromebook\, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Software Carpentry’s Code of Conduct. \nAccessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that: \n\nThe room is wheelchair / scooter accessible.\nAccessible restrooms are available.\n\nMaterials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters\, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them. \nContact: Please email kallen2@library.ucla.edu\, tdennis@library.ucla.edu or dwhitmore@g.ucla.edu for more information. \nRegistration\nTo register and to find out more about this workshop\, go to to the registration website.
URL:https://idre.ucla.edu/calendar-event/software-carpentry-python-for-researchers
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181211T100000
DTEND;TZID=America/Los_Angeles:20181211T110000
DTSTAMP:20260429T114802
CREATED:20181205T215235Z
LAST-MODIFIED:20181212T192243Z
UID:11777-1544522400-1544526000@idre.ucla.edu
SUMMARY:Microsoft Excel Visual Basic for Application Programming
DESCRIPTION:Learn how to program Microsoft Excel with Visual Basic for Application to process data \, plot charts and interactive session for automatic data collection and processing. The Excel data will be coming from a time series historian. Visual Basic code will automatically process the data. It may be useful for you if you usually use large set of data in Excel and would like to automate the process.  If you are interested in this topic please attend the presentation.  This will be the first in this series of presentations. \nIf you have questions or comments regarding this event\, please contact Prakashan Korambath.
URL:https://idre.ucla.edu/calendar-event/microsoft-excel-visual-basic-for-application-programming
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181204T080000
DTEND;TZID=America/Los_Angeles:20181205T140000
DTSTAMP:20260429T114802
CREATED:20181121T201902Z
LAST-MODIFIED:20181212T192258Z
UID:11766-1543910400-1544018400@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: BIG DATA
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (Dec 4-5\, 2018\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. \nFor registration and detailed information\, visit: https://www.psc.edu/training-education/hpc-workshop-series/14-sample-data-articles/2944-xsede-hpc-workshop-big-data-december-4-5-2018 \nAgenda: \n\n\n\nTuesday\, December 4\, 2018\nAll times given are Pacific\n\n\n08:00\nWelcome\n\n\n08:25\nIntro to Big Data\n\n\n09:00\nHadoop\n\n\n09:30\nIntro to Spark\n\n\n10:00\nLunch Break\n\n\n11:00\nSpark\n\n\n12:30\nSpark Exercises\n\n\n01:30\nSpark\n\n\n02:00\nAdjourn\n\n\n\n  \n\n\n\nWednesday\, December 5\, 2018\nAll times given are Pacific\n\n\n08:00\nMachine Learning: Recommender System with Spark\n\n\n10:00\nLunch break\n\n\n11:00\nDeep Learning with Tensorflow\n\n\n01:30\nBridges: A Big Data Platform\n\n\n02:00\nAdjourn\n\n\n\n  \nNote: Please reach out to tvsingh@ucla.edu in case of any questions about the workshop at UCLA.
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-dec-2018
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181114T100000
DTEND;TZID=America/Los_Angeles:20181114T140000
DTSTAMP:20260429T114802
CREATED:20181031T152038Z
LAST-MODIFIED:20181106T154012Z
UID:11731-1542189600-1542204000@idre.ucla.edu
SUMMARY:GIS Day: Battle of the Maps
DESCRIPTION:Sign up now\nDESCRIPTION\n\n\n\nDo you want to do more to immediately help people affected by our recent natural disaster? Have you ever wanted to know more about GIS? Do you want to triumph over Trojans? If you answered yes to any of these\, sign up for our humanitarian map-a-thon event! \nWe will train you in easy-to-learn Open Street Map skills! Spot prizes throughout the event! Free Food! An the chance to participate with civil society groups from across the globe! What’s not to love.  Refreshments and lunch will be provided in addition to short talks! \nRSVPs strongly encouraged!! Drop by any time between 10-2pm! \nSchedule\n10-2pm – Humanitarian Map-a-thon\n12pm – Lunch
URL:https://idre.ucla.edu/calendar-event/gis-day-battle-of-the-maps
LOCATION:Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181106T100000
DTEND;TZID=America/Los_Angeles:20181106T110000
DTSTAMP:20260429T114802
CREATED:20181023T213624Z
LAST-MODIFIED:20181025T172627Z
UID:11686-1541498400-1541502000@idre.ucla.edu
SUMMARY:Informal Discussions on Machine Learning
DESCRIPTION:This is a recurring weekly event from Tuesday\, Oct. 9th – Tuesday\, Dec. 18th. Please attend all weeks if your time permits. No RSVP is necessary. \nThis will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations\, we will go through logistic regression\, binary classification\, multi-class classification\, neural networks\, hidden Layers\, forward propagation\, backward propagation\, L1 and L2 regularization\, sigmoid functions\, confusion matrix\,  one-hot-encoding\, softmax etc. \nLearning and discussion materials used in this discussion series. \nIf you have any questions or comments regarding this event\, please contact Prakashan Korambath.
URL:https://idre.ucla.edu/calendar-event/deep-learning-series-5
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181106T080000
DTEND;TZID=America/Los_Angeles:20181106T140000
DTSTAMP:20260429T114802
CREATED:20181009T193726Z
LAST-MODIFIED:20181023T214034Z
UID:11629-1541491200-1541512800@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: GPU Programming Using OpenACC
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on November 6\, 2018\, 8 AM-2 PM PDT. \nOpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges computing platform at the Pittsburgh Supercomputing Center. \nFor registration and detailed information\, visit: https://www.psc.edu/training-education/hpc-workshop-series/14-sample-data-articles/2929-xsede-hpc-workshop-gpu-programming-using-openacc-november-6-2018 \nTentative Agenda\, subject to change\, is below. It is designed to be time-zone friendly. \n\n\n\nTuesday\, November 6\nAll times given are Pacific time (PDT)\n\n\n\n08:00\nWelcome\n\n\n08:15\nComputing Environment\n\n\n08:45\nParallel Computing and Accelerators\n\n\n09:15\nIntroduction to OpenACC\n\n\n10:00\nLunch break\n\n\n11:00\nIntroduction to OpenACC\, con’t\n\n\n12:45\nUsing OpenACC with CUDA Libraries\n\n\n01:00\nAdvanced OpenACC\n\n\n01:30\nOpenMP 4.0 and Beyond\n\n\n02:00\nFinal Notes and Adjourn\n\n\n\nIf you have any questions or comments regarding the event\, please contact TV Singh. \n 
URL:https://idre.ucla.edu/calendar-event/xsede-gpu-openacc-nov-2018
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181030T100000
DTEND;TZID=America/Los_Angeles:20181030T110000
DTSTAMP:20260429T114802
CREATED:20180925T182724Z
LAST-MODIFIED:20181023T215356Z
UID:11381-1540893600-1540897200@idre.ucla.edu
SUMMARY:Informal Discussions on Machine Learning
DESCRIPTION:This is a recurring weekly event from Tuesday\, Oct. 9th – Tuesday\, Dec. 18th . Please attend all weeks if your time permits. No RSVP is necessary. \nThis will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations\, we will go through logistic regression\, binary classification\, multi-class classification\, neural networks\, hidden Layers\, forward propagation\, backward propagation\, L1 and L2 regularization\, sigmoid functions\, confusion matrix\,  one-hot-encoding\, softmax etc. \nIf you have any questions or comments regarding this event\, please contact Prakashan Korambath.
URL:https://idre.ucla.edu/calendar-event/deep-learning-series-4
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181030T090000
DTEND;TZID=America/Los_Angeles:20181030T120000
DTSTAMP:20260429T114802
CREATED:20180816T155740Z
LAST-MODIFIED:20181008T200850Z
UID:11023-1540890000-1540900800@idre.ucla.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:RSVP FOR EVENT\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. The notes for the workshop can be found at: https://stats.idre.ucla.edu/spss/seminars/notes/ \nNote: All researchers are welcome to attend this workshop. However\, there will be NO online component. Please sign up only if you can attend in person. 
URL:https://idre.ucla.edu/calendar-event/introduction-to-spss-5
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181026T100000
DTEND;TZID=America/Los_Angeles:20181026T120000
DTSTAMP:20260429T114802
CREATED:20180913T223340Z
LAST-MODIFIED:20181004T175707Z
UID:11274-1540548000-1540555200@idre.ucla.edu
SUMMARY:Version Control with Git
DESCRIPTION:RSVP FOR EVENT\nGit 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.
URL:https://idre.ucla.edu/calendar-event/version-control-with-git
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181025T100000
DTEND;TZID=America/Los_Angeles:20181025T120000
DTSTAMP:20260429T114802
CREATED:20180913T233330Z
LAST-MODIFIED:20181004T175831Z
UID:11289-1540461600-1540468800@idre.ucla.edu
SUMMARY:Introduction to Jupyter
DESCRIPTION:RSVP FOR EVENT\nThe 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 has been growing in popularity 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.
URL:https://idre.ucla.edu/calendar-event/introduction-to-jupyter
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181023T100000
DTEND;TZID=America/Los_Angeles:20181023T110000
DTSTAMP:20260429T114802
CREATED:20180925T182109Z
LAST-MODIFIED:20181008T200930Z
UID:11379-1540288800-1540292400@idre.ucla.edu
SUMMARY:Informal Discussions on Machine Learning
DESCRIPTION:This is a recurring weekly event from Tuesday\, Oct. 9th – Tuesday\, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nThis will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations\, we will go through logistic regression\, binary classification\, multi-class classification\, neural networks\, hidden Layers\, forward propagation\, backward propagation\, L1 and L2 regularization\, sigmoid functions\, confusion matrix\,  one-hot-encoding\, softmax etc.
URL:https://idre.ucla.edu/calendar-event/deep-learning-series-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181023T090000
DTEND;TZID=America/Los_Angeles:20181023T120000
DTSTAMP:20260429T114802
CREATED:20180816T155310Z
LAST-MODIFIED:20181008T200941Z
UID:11021-1540285200-1540296000@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:RSVP FOR EVENT\nR is statistical package that runs on Windows\, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics\, graphics\, and data management. The class notes are the scripts for the class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. The notes for the workshop can be found at: https://stats.idre.ucla.edu/r/seminars/intro/ \nNote:  All researchers are welcome to attend this workshop. However\, there will be NO online component. Please sign up only if you can attend in person.
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-6
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181022T140000
DTEND;TZID=America/Los_Angeles:20181022T160000
DTSTAMP:20260429T114802
CREATED:20180913T233028Z
LAST-MODIFIED:20181004T183317Z
UID:11286-1540216800-1540224000@idre.ucla.edu
SUMMARY:Introduction to Message Passing Interface (MPI)
DESCRIPTION:RSVP FOR EVENT\nMPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive\, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code\, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to follow the class materials. \nSpecifically\, we will discuss: \n\nMPI basics\nOne-to-one communication examples\nCollective communication examples\nRunning MPI programs
URL:https://idre.ucla.edu/calendar-event/introduction-to-message-passing-interface-mpi
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181019T140000
DTEND;TZID=America/Los_Angeles:20181019T160000
DTSTAMP:20260429T114802
CREATED:20180913T232131Z
LAST-MODIFIED:20181004T190820Z
UID:11282-1539957600-1539964800@idre.ucla.edu
SUMMARY:Python for High Performance Computing
DESCRIPTION:RSVP FOR EVENT\nPython\, originally developed as a general-purpose programming language\, has gained its popularity in the scientific community in recent years owing to its elegant and easy-to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will discuss a number useful features of Python in the context of scientific computing\, and introduce a number of supporting packages\, including numpy for fast array-based computations\, h5py to access HDF5 files\, and the use of Python in MPI-style parallel computing.
URL:https://idre.ucla.edu/calendar-event/python-for-high-performance-computing
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181019T100000
DTEND;TZID=America/Los_Angeles:20181019T120000
DTSTAMP:20260429T114802
CREATED:20180913T231822Z
LAST-MODIFIED:20181008T201256Z
UID:11279-1539943200-1539950400@idre.ucla.edu
SUMMARY:Introduction to Science Gateway
DESCRIPTION:RSVP FOR EVENT\n“Science Gateway” refers to a web or mobile-based applications with user-friendly interfaces enabling access to advanced technology resources to support scientific research and/or education. This 2-hour session aims to provide fundamental information about Science Gateway technologies. Three covered topics include: \n\nWhat Science Gateways really refer to and what Science Gateways can provide to researchers and educators.\nThe efforts from UCLA IDRE for implementing a Science Gateway.\nThe visions and planning of UCLA Science Gateway provided from IDRE.\n\nNo prerequisites\, but we recommend that you take the UCLA IDRE Science Gateway Survey before or after the session.
URL:https://idre.ucla.edu/calendar-event/introduction-to-science-gateway
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20181017
DTEND;VALUE=DATE:20181019
DTSTAMP:20260429T114802
CREATED:20180906T183135Z
LAST-MODIFIED:20181008T201354Z
UID:11211-1539734400-1539907199@idre.ucla.edu
SUMMARY:SAS SQL 1: Essentials
DESCRIPTION:RSVP FOR THE EVENT\n2-Day Workshop\, 9am – 5pm Daily\nThis course teaches you how to process SAS data using Structured Query Language (SQL). Learn how to query and subset data\, summarize and present data\, combine tables\, including complex joins and merges\, create and modify table views and indexes\, replace multiple DATA and PROC steps with one SQL query. This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9. \nBefore attending this class\, you should be able to: \n\nSubmit SAS programs on your operating system\nCreate and access SAS data sets\nUse arithmetic\, comparison\, and logical operators\nInvoke SAS procedures\n\nYou can gain this experience from the SAS Programming 1 course. No knowledge of SQL is necessary. \nNote: This is event is open to only those currently affiliated with the University of California. \n\nFor registration and more information\, please visit the IDRE Stats Seminars page.
URL:https://idre.ucla.edu/calendar-event/sas-sql-1-essentials
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181016T100000
DTEND;TZID=America/Los_Angeles:20181016T110000
DTSTAMP:20260429T114802
CREATED:20180925T181005Z
LAST-MODIFIED:20181008T201029Z
UID:11377-1539684000-1539687600@idre.ucla.edu
SUMMARY:Informal Discussions on Machine Learning
DESCRIPTION:This is a recurring weekly event from Tuesday\, Oct. 9th – Tuesday\, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nThis will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations\, we will go through logistic regression\, binary classification\, multi-class classification\, neural networks\, hidden Layers\, forward propagation\, backward propagation\, L1 and L2 regularization\, sigmoid functions\, confusion matrix\,  one-hot-encoding\, softmax etc.
URL:https://idre.ucla.edu/calendar-event/deep-learning-series-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20181015
DTEND;VALUE=DATE:20181017
DTSTAMP:20260429T114802
CREATED:20180906T170303Z
LAST-MODIFIED:20181008T201117Z
UID:11197-1539561600-1539734399@idre.ucla.edu
SUMMARY:SAS Macro Language 1: Essentials
DESCRIPTION:RSVP FOR THE EVENT\n2-Day workshop\, 9:00am – 5:00pm daily\nThis course focuses on the components of the SAS macro facility and how to design\, write\, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed. Learn how to perform text substitution in SAS code\, automate and customize the production of SAS code\, conditionally or iteratively construct SAS code and use macro variables and macro functions. This course can help prepare you for the following certification exams: SAS Advanced Programming for SAS 9\, SAS Certified Clinical Trials Programmer Using SAS 9. \nBefore attending this course\, you should have either completed the SAS Programming 2: Data Manipulation Techniques course or have equivalent knowledge. Specifically\, you should be able to: \n\nUse a DATA step to read from or write to a SAS data set or external file\nUse DATA step programming statements such as IF-THEN/ELSE\, DO WHILE\, DO UNTIL\, and iterative DO\nUse SAS data set options such as DROP=\, KEEP=\, and OBS=\nUse character functions such as SUBSTR\, SCAN\, INDEX\, and UPCASE\nForm subsets of data using the WHERE clause\nCreate and use SAS date values and constants\nUse SAS procedures such as SORT\, PRINT\, CONTENTS\, MEANS\, FREQ\, TABULATE\, and CHART.\n\nNote: This event is open to current University of California affiliates. \n\nFor registration and more information\, please visit the IDRE Stats Seminars page.
URL:https://idre.ucla.edu/calendar-event/sas-macro-language-1-essentials
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181010T130000
DTEND;TZID=America/Los_Angeles:20181010T150000
DTSTAMP:20260429T114802
CREATED:20180918T163717Z
LAST-MODIFIED:20180924T162049Z
UID:11303-1539176400-1539183600@idre.ucla.edu
SUMMARY:Introducing Python for Data Science and the Web
DESCRIPTION:RSVP FOR THE EVENT \nThis entry-level workshop will introduce Python as a tool for digital researchers and scholars wanting to incorporate data on the web. The following Python libraries will be covered: requests\, lxml\, pandas\, and numpy. \nFind other UCLA Library\, Advanced Research Workshop Series
URL:https://idre.ucla.edu/calendar-event/introducing-python-for-data-science-and-the-web
LOCATION:West Electronic Classroom\, 23167 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181009T100000
DTEND;TZID=America/Los_Angeles:20181009T110000
DTSTAMP:20260429T114802
CREATED:20180925T164435Z
LAST-MODIFIED:20181008T201148Z
UID:11375-1539079200-1539082800@idre.ucla.edu
SUMMARY:Informal Discussions on Machine Learning
DESCRIPTION:This is a recurring weekly event from Tuesday\, Oct. 9th – Tuesday\, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nThis will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations\, we will go through logistic regression\, binary classification\, multi-class classification\, neural networks\, hidden Layers\, forward propagation\, backward propagation\, L1 and L2 regularization\, sigmoid functions\, confusion matrix\,  one-hot-encoding\, softmax etc.
URL:https://idre.ucla.edu/calendar-event/deep-learning-series
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181009T090000
DTEND;TZID=America/Los_Angeles:20181009T120000
DTSTAMP:20260429T114802
CREATED:20180816T154057Z
LAST-MODIFIED:20181004T191042Z
UID:11019-1539075600-1539086400@idre.ucla.edu
SUMMARY:Introduction to SAS
DESCRIPTION:RSVP FOR EVENT\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. The notes for the workshop can be found at: https://stats.idre.ucla.edu/sas/seminars/notes/ \nNote: All researchers are welcome to attend this workshop. However\, there will be NO online component. Please sign up only if you can attend in person.
URL:https://idre.ucla.edu/calendar-event/introduction-to-sas-3
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181008T140000
DTEND;TZID=America/Los_Angeles:20181008T160000
DTSTAMP:20260429T114802
CREATED:20180913T233449Z
LAST-MODIFIED:20181008T201543Z
UID:11292-1539007200-1539014400@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies
DESCRIPTION:RSVP FOR EVENT\n\nThis class will address the process of creating Matlab standalone executables and running Matlab in batch\, as well as running Abaqus python scripts. Example 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.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-case-studies
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181003T130000
DTEND;TZID=America/Los_Angeles:20181003T150000
DTSTAMP:20260429T114802
CREATED:20180918T163734Z
LAST-MODIFIED:20180920T225225Z
UID:11306-1538571600-1538578800@idre.ucla.edu
SUMMARY:Introduction to GIS: Got Data? Map it!
DESCRIPTION:RSVP FOR THE EVENT\nIt is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis\, this course offers an introduction to Geographic Information Systems\, GIS\, as a means to spatialize and analyze your data. As a hands-on course\, you will learn how to download data\, manipulate and join data to existing geographic boundaries\, and create stunning cartographic representations. There are no pre-requisite requirements to take this workshop. \nFind other UCLA Library\, Advanced Research Workshop Series
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-got-data-map-it
LOCATION:West Electronic Classroom\, 23167 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181002T100000
DTEND;TZID=America/Los_Angeles:20181002T110000
DTSTAMP:20260429T114802
CREATED:20180830T182150Z
LAST-MODIFIED:20180913T203354Z
UID:11181-1538474400-1538478000@idre.ucla.edu
SUMMARY:Google Machine Learning Crash Course
DESCRIPTION:This is a recurring weekly event from Tuesday\, Sept. 4th – Tuesday\, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nFor the past several weeks we have presented data frames in Python\, R and Julia. Now that we are all familiar with Python Pandas data frame\, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash Course site. \n\n10/2/18 Course details coming soon…
URL:https://idre.ucla.edu/calendar-event/google-machine-learning-crash-course-5
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181002T090000
DTEND;TZID=America/Los_Angeles:20181002T120000
DTSTAMP:20260429T114802
CREATED:20180816T153321Z
LAST-MODIFIED:20181219T200806Z
UID:11016-1538470800-1538481600@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Stata 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. The notes for the workshop can be found at: https://stats.idre.ucla.edu/stata/seminars/notes15/ \nNote:  All researchers are welcome to attend this workshop. However\, there will be NO online component. Please sign up only if you can attend in person.
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata-4
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
END:VCALENDAR