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DTSTART;TZID=America/Los_Angeles:20190509T090000
DTEND;TZID=America/Los_Angeles:20190509T120000
DTSTAMP:20260803T212030
CREATED:20190319T222714Z
LAST-MODIFIED:20190328T214255Z
UID:12515-1557392400-1557403200@idre.ucla.edu
SUMMARY:Multiple Imputation in Stata
DESCRIPTION:The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular\, we will focus on the one of the most popular methods\, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15. \nThis workshop will not be hands-on\, and it will not have an online component. \n\nDownload the notes for the workshop.\n\nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/multiple-imputation-in-stata
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190502T090000
DTEND;TZID=America/Los_Angeles:20190502T120000
DTSTAMP:20260803T212030
CREATED:20190319T222524Z
LAST-MODIFIED:20190411T175217Z
UID:12512-1556787600-1556798400@idre.ucla.edu
SUMMARY:Logistic Regression in Stata
DESCRIPTION:This workshop will help increase your skills in using logistic regression analysis with Stata.  The workshop does not teach logistic regression\, per se\, but focuses on how to perform logistic regression analyses and interpret the results using Stata.  It is assumed that you are familiar with logistic regression and Stata. \nThis workshop will not be hands-on\, but it will have an online component. \n\nDownload notes for the workshop.\n\nNOTE: Please indicate if you will be attending in-person at UCLA or online via Zoom for this event. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group.
URL:https://idre.ucla.edu/calendar-event/logistic-regression-in-stata
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T140000
DTEND;TZID=America/Los_Angeles:20190501T160000
DTSTAMP:20260803T212030
CREATED:20190326T153044Z
LAST-MODIFIED:20190326T155404Z
UID:12533-1556719200-1556726400@idre.ucla.edu
SUMMARY:Job scheduling on Hoffman2 Cluster
DESCRIPTION:We will discuss how to effectively run jobs on Hoffman2 cluster. Hoffman2 cluster serves a wide spectrum of user applications and is almost always heavily loaded. We will first review the model and policy of Hoffman2’s job scheduling\, followed by fundamentals of using its job scheduler\, Univa Grid Engine. A number of common use cases will be discussed in details\, including: (1) Single-CPU jobs\, (2) Multi-CPU\, same-node jobs\, (3) Multiple-node (MPI-style) jobs and (4) Job arrays. \nIf you have questions regarding the workshop\, please contact the instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/job-scheduling-on-hoffman2-cluster
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190501T103000
DTEND;TZID=America/Los_Angeles:20190501T120000
DTSTAMP:20260803T212030
CREATED:20190304T183903Z
LAST-MODIFIED:20190405T193711Z
UID:12450-1556706600-1556712000@idre.ucla.edu
SUMMARY:Making PDFs Accessible the Easy Way
DESCRIPTION:REGISTER NOW\nPDF is one of the most common document formats at UCLA. People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many PDF documents created are completely inaccessible or frustrating for screenreader users. Public PDFs posted on websites\, PDF course reading material and PDFs emailed to listservs should be accessible to people who use screenreaders and other assistive technologies. During this one and a half hour long active learning session\, you will have the opportunity to get hands-on training in making an accessible PDF. \nPlease bring a laptop with Adobe Acrobat installed. If you do not have a laptop one will be provided for you at the Learning Lab. \nLearning Objectives\nBy the end of this training you should be able to: \n\nDescribe what PDF accessibility is and why it important\nProperly scan a book or paper to convert to PDF\nRun the PDF accessibility checker\nSet image alt tags\nBuild header structure into the PDF\nSet proper reading order\nUse a color contrast checker
URL:https://idre.ucla.edu/calendar-event/making-pdfs-accessible-the-easy-way
LOCATION:Learning Lab Rolfe Hall 2118\, Rolfe Hall\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190430T140000
DTEND;TZID=America/Los_Angeles:20190430T160000
DTSTAMP:20260803T212030
CREATED:20190326T153753Z
LAST-MODIFIED:20190326T154902Z
UID:12559-1556632800-1556640000@idre.ucla.edu
SUMMARY:Introduction to Programming in Go
DESCRIPTION:This short course will cover the basics of the Go language for those who already are familiar with an imperative programming environment like Python. The Go programming language (golang) is a simple\, high-performance imperative programming language. It has the benefits of a strongly typed\, compiled language along with many of the benefits of popular scripting languages like Python. The course will assume familiarity with another imperative language so we can use comparisons (to Python) to leverage familiarity and move quickly. We will also discuss the basic toolchain used in Go programming along with its standard library. We’ll wrap up with some quick exposure to Go’s performance and facilities for supporting concurrent programming. \n  \n\nIf you have questions regarding the workshop\, please contact the instructor Scott Friedman.
URL:https://idre.ucla.edu/calendar-event/introduction-to-programming-in-go
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190425T090000
DTEND;TZID=America/Los_Angeles:20190425T120000
DTSTAMP:20260803T212030
CREATED:20190319T222122Z
LAST-MODIFIED:20190411T165151Z
UID:12509-1556182800-1556193600@idre.ucla.edu
SUMMARY:Decomposing Interactions in R
DESCRIPTION:In regression\, we are often interested in an interaction\, which is the modification of the effect of an independent variable by another. Interactions can be decomposed in three ways\, by 1) testing each effect against zero\, 2) testing differences among effects\, and 3) graphing. This workshop will demonstrate how to do all three analyses in R for the following interaction models: continuous-by-continuous\, categorical-by-continuous\, and categorical-by-categorical. Some hands-on exercises will be presented. Recommended: Prior knowledge of linear regression and a laptop with R installed. \nThis workshop will be hands-on.  So participants should bring their own laptop with R installed. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/decomposing-interactions-in-r
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190424T140000
DTEND;TZID=America/Los_Angeles:20190424T160000
DTSTAMP:20260803T212030
CREATED:20190326T153335Z
LAST-MODIFIED:20190326T153335Z
UID:12530-1556114400-1556121600@idre.ucla.edu
SUMMARY:Using Jupyter with Hoffman2 and HPC Systems
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. \nIf you have questions regarding the workshop\, please contact the instructor Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/using-jupyter-with-hoffman2-and-hpc-systems
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190418T140000
DTEND;TZID=America/Los_Angeles:20190418T160000
DTSTAMP:20260803T212030
CREATED:20190326T154803Z
LAST-MODIFIED:20190326T154857Z
UID:12523-1555596000-1555603200@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Case Studies
DESCRIPTION:This 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. \nIf you have questions regarding the workshop\, please contact the instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-case-studies-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190418T090000
DTEND;TZID=America/Los_Angeles:20190418T120000
DTSTAMP:20260803T212030
CREATED:20190319T221742Z
LAST-MODIFIED:20190411T211658Z
UID:12505-1555578000-1555588800@idre.ucla.edu
SUMMARY:Introduction to ggplot2
DESCRIPTION:The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R.  In this interactive seminar\, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2\, giving you the power to create publication-quality figures intuitively.  The workshop is interactive\, in which attendees are encouraged to participate in R coding to create their own statistical graphics. \n\nDownload notes for the workshop.\n\nThis workshop will be hands-on.  Participants should bring his/her own laptop with current version of R installed. If you do not have a laptop\, one can be checked out with your BruinCard at UCLA Library: Arts\, Biomedical\, SEL/Geology\, Music\, Powell\, SEL/Boelter\, and Research Library. For more information in borrowing a laptop\, go to UCLA Library. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/introduction-to-ggplot2-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T140000
DTEND;TZID=America/Los_Angeles:20190417T160000
DTSTAMP:20260803T212030
CREATED:20190326T154635Z
LAST-MODIFIED:20190326T154635Z
UID:12527-1555509600-1555516800@idre.ucla.edu
SUMMARY:Introduction to Jupyter
DESCRIPTION:The Jupyter Notebook is a computing tool that allows users to edit and run Python\, R\, Julia (and many other programming languages) inside a web browser. Furthermore\, it is a powerful tool that allows users to combine live code\, text\, and visualizations in an interactive\, shareable\, reproducible document. It 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. \nIf you have questions regarding the workshop\, please contact the instructor Ben Winjum. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-jupyter-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190417T113000
DTEND;TZID=America/Los_Angeles:20190417T133000
DTSTAMP:20260803T212030
CREATED:20190322T153040Z
LAST-MODIFIED:20190322T162748Z
UID:12540-1555500600-1555507800@idre.ucla.edu
SUMMARY:Intro to GIS: Got data? Let's map it!
DESCRIPTION:Register 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. \nIf you have questions regarding the workshop\, please contact the instructor Yoh Kawano.
URL:https://idre.ucla.edu/calendar-event/intro-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
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190415T110000
DTEND;TZID=America/Los_Angeles:20190415T120000
DTSTAMP:20260803T212030
CREATED:20190306T162710Z
LAST-MODIFIED:20190405T194518Z
UID:12463-1555326000-1555329600@idre.ucla.edu
SUMMARY:Accessibility Basics Training Webinar
DESCRIPTION:Register Now\nPeople who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. During the hour long active learning session\, you will learn the impact of accessible websites and documents\, simple methods how to build in accessibility in current content\, and have an opportunity for hands-on experience building accessible webpages and documents.
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-webinar
LOCATION:Zoom
CATEGORIES:Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190411T140000
DTEND;TZID=America/Los_Angeles:20190411T160000
DTSTAMP:20260803T212030
CREATED:20190326T154840Z
LAST-MODIFIED:20190326T154852Z
UID:12519-1554991200-1554998400@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Introduction
DESCRIPTION:The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster 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. \nIf you have questions regarding the workshop\, please contact the instructor Raffaella D’Auria. \n 
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-introduction-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190410T103000
DTEND;TZID=America/Los_Angeles:20190410T120000
DTSTAMP:20260803T212030
CREATED:20190304T184217Z
LAST-MODIFIED:20190405T193504Z
UID:12453-1554892200-1554897600@idre.ucla.edu
SUMMARY:Making PDFs Accessible the Easy Way
DESCRIPTION:REGISTER NOW\nPDF is one of the most common document formats at UCLA. People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many PDF documents created are completely inaccessible or frustrating for screenreader users. Public PDFs posted on websites\, PDF course reading material and PDFs emailed to listservs should be accessible to people who use screenreaders and other assistive technologies. During this one and a half hour long active learning session\, you will have the opportunity to get hands-on training in making an accessible PDF. \nPlease bring a laptop with Adobe Acrobat installed. If you do not have a laptop one will be provided for you at the Learning Lab. \nLearning Objectives\nBy the end of this training you should be able to: \n\nDescribe what PDF accessibility is and why it important\nProperly scan a book or paper to convert to PDF\nRun the PDF accessibility checker\nSet image alt tags\nBuild header structure into the PDF\nSet proper reading order\nUse a color contrast checker
URL:https://idre.ucla.edu/calendar-event/making-pdfs-accessible-the-easy-way-2
LOCATION:Learning Lab Rolfe Hall 2118\, Rolfe Hall\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190402T080000
DTEND;TZID=America/Los_Angeles:20190403T140000
DTSTAMP:20260803T212030
CREATED:20190312T201237Z
LAST-MODIFIED:20190322T153310Z
UID:12476-1554192000-1554300000@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 (Apr 2-3\, 2019\, 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/hpc-workshop-series/current-workshop \nAgenda— Day – 1:\n \n\n\n\nTuesday\, April 2\, 2019\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\nDay – 2: \n\n\n\nWednesday\, April 3\, 2019\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\n\nNote: Please reach out to tvsingh@ucla.edu in case of any questions about the workshop at UCLA. \n\n  \n 
URL:https://idre.ucla.edu/calendar-event/xsede-hpc-workshop-big-data-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190214T140000
DTEND;TZID=America/Los_Angeles:20190214T160000
DTSTAMP:20260803T212030
CREATED:20181207T175754Z
LAST-MODIFIED:20190103T164302Z
UID:11785-1550152800-1550160000@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.  \nIf you have any questions or comments regarding this event\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/jupyter-advanced-topics
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20190116T090000
DTEND;TZID=America/Los_Angeles:20190117T160000
DTSTAMP:20260803T212030
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:20260803T212030
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:20181106T100000
DTEND;TZID=America/Los_Angeles:20181106T110000
DTSTAMP:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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:20260803T212030
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;VALUE=DATE:20181017
DTEND;VALUE=DATE:20181019
DTSTAMP:20260803T212030
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:20260803T212030
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
END:VCALENDAR