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X-WR-CALDESC:Events for Institute for Digital Research and Education
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DTSTART;TZID=America/Los_Angeles:20200422T120000
DTEND;TZID=America/Los_Angeles:20200422T130000
DTSTAMP:20260429T092332
CREATED:20200221T000214Z
LAST-MODIFIED:20200422T075448Z
UID:15818-1587556800-1587560400@idre.ucla.edu
SUMMARY:IDRE-Early Career Researchers Group Meeting
DESCRIPTION:Time:  12:00 PM – 1:00 PM\nDate: April 22\, 2020\nLocation:  Zoom (the meeting link will be sent to you once you rsvp below) \nRSVP HERE \nIDRE is happy to reschedule the first lunch meeting for the IDRE Early Career Research Group to April 22\, 2020. Although this first meeting is going to be virtual\, through zoom\, our goal remains the same\, i.e.\, to establish a series of meetings\, where you will have an opportunity to share ideas\, ask questions\, find opportunities for collaboration\, and socialize with your peers. \nAt this first meeting\, we will have a 30-minute presentation on “Knowledge Graphs\, Natural Language Processing\, and Standards for Unifying Unstructured Biomedical Data” by J. Harry Caufield. \nThe agenda of the meeting is as follows: \n\n12:00 PM – 12:10 PM: Welcome and Introduction\n12:10 PM – 12:40 PM: Presentation* – Knowledge Graphs\, Natural Language Processing\, and Standards for Unifying Unstructured Biomedical Data by J. Harry Caufield\n12:40 PM – 1:00 PM Q&A\n\n* Presentation: Knowledge Graphs\, Natural Language Processing\, and Standards for Unifying Unstructured Biomedical Data \nSpeaker:\nJ. Harry Caufield\, Ph.D.\,\nIDRE Scholar\,\nUCLA Data Science in Cardiovascular Medicine \n\n\n\nAbstract: \nComputational analysis of clinical events is a promising strategy for developing a comprehensive understanding of highly variable disease presentations. The development and validation of new methods appropriate for this general task are increasingly limited by the availability of carefully annotated\, open\, and diverse datasets of biomedical text. I will discuss our group’s recent efforts to enforce consistent structures and standards on the data within text documents written in the biomedical language. The standards support consistent data models and structures (i.e.\, knowledge graphs) for unifying heterogeneous observations and relationships as well as machine learning approaches for isolating biologically and clinically-relevant insights. I will also introduce our newly produced text datasets\, each of which is richly annotated and freely available. \nAbout Speaker:\nJ. Harry Caufield is a postdoctoral fellow in the NIH HeartBD2K Center of Excellence at UCLA\, where he works with Prof. Peipei Ping of UCLA’s departments of Physiology\, Medicine\, and Bioinformatics. Before joining UCLA\, Dr. Caufield earned his PhD in Integrative Life Sciences at Virginia Commonwealth University\, where he studied microbial protein interactions and developed intuitive methods for working with large protein interaction networks. He continues to have an active interest in learning about biological relationships hidden within disparate data sources\, particularly those with a direct impact on human health and disease.
URL:https://idre.ucla.edu/calendar-event/ecr-meet-presentation-april2020
LOCATION:Zoom
CATEGORIES:Conferences and Seminars,Meetings,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200420T100000
DTEND;TZID=America/Los_Angeles:20200420T113000
DTSTAMP:20260429T092332
CREATED:20200401T184842Z
LAST-MODIFIED:20200409T205005Z
UID:16059-1587376800-1587382200@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the second session of the series\, we will look into the procedures of working on a general deep learning project\, especially on how to train a deep neural network. The knowledge of topics covered in the first session is assumed. Basic knowledge of calculus and linear algebra will be helpful to understand the details. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu. \nPlease REGISTER to the Zoom Meeting before joining.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-2-mechanics-of-deep-learning-2
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200416T100000
DTEND;TZID=America/Los_Angeles:20200416T113000
DTSTAMP:20260429T092332
CREATED:20200401T184323Z
LAST-MODIFIED:20200409T204913Z
UID:16056-1587031200-1587036600@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (1) Introduction
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the first session of the series\, we will give a broad introduction about deep learning and neural network. No specific prerequisite is required. \nIf you have any further questions regarding the workshop\, please contact instructor Qiyang Hu. \nPlease REGISTER to the Zoom Meeting before joining.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-1-introduction
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200318T110000
DTEND;TZID=America/Los_Angeles:20200318T120000
DTSTAMP:20260429T092332
CREATED:20200124T202249Z
LAST-MODIFIED:20200124T215855Z
UID:15573-1584529200-1584532800@idre.ucla.edu
SUMMARY:Accessibility Testing Training
DESCRIPTION:In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing. \nLearning Outcomes\nBy the end of this training you should be able to: \n\nDescribe the importance of accessibility testing\nTab test a website\nTurn on VO or NVDA\nDownload and run the Wave plug in for accessibility testing\nInterpret the results from the Wave Plug in\nRun the Word Document accessibility checker\nRun the PDF accessibility checker\n\nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-testing-training-2
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:20200305T133000
DTEND;TZID=America/Los_Angeles:20200305T153000
DTSTAMP:20260429T092332
CREATED:20191219T191716Z
LAST-MODIFIED:20200214T154233Z
UID:14868-1583415000-1583422200@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Part II
DESCRIPTION:This class will address the process of creating Matlab standalone executables and running Matlab in batch\, as well as running Abaqus python scripts. 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. \n\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-part-ii
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200304T110000
DTEND;TZID=America/Los_Angeles:20200304T120000
DTSTAMP:20260429T092332
CREATED:20200124T202722Z
LAST-MODIFIED:20200124T215942Z
UID:15577-1583319600-1583323200@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION: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 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. \nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-8
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:20200304T110000
DTEND;TZID=America/Los_Angeles:20200304T120000
DTSTAMP:20260429T092332
CREATED:20191216T152652Z
LAST-MODIFIED:20191216T154443Z
UID:14701-1583319600-1583323200@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (5) Transfer Learning
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the fifth session of the series\, we will introduce transfer learning technology to use pre-trained models in PyTorch to get a better solution for deep learning projects. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-5-transfer-learning
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200303T080000
DTEND;TZID=America/Los_Angeles:20200303T140000
DTSTAMP:20260429T092332
CREATED:20200211T214147Z
LAST-MODIFIED:20200218T155300Z
UID:15749-1583222400-1583244000@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 March 3\, 2020\, 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. This is a live\, in-person event. \nFor detailed information\, visit PSC website. \nRegister for XSEDE HPC Workshop: GPU Programming Using OpenACC\nTentative Agenda \n*Agenda subject to change. It is designed to be time-zone friendly. \n\n\n\nTuesday\, March 3\, 2020\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 T. V. Singh.
URL:https://idre.ucla.edu/calendar-event/xsede-hpc-workshop-openacc-march2020
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200228T110000
DTEND;TZID=America/Los_Angeles:20200228T120000
DTSTAMP:20260429T092332
CREATED:20191216T152408Z
LAST-MODIFIED:20191216T154519Z
UID:14698-1582887600-1582891200@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (4) Convolutional Neural Networks
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the fourth session of the series\, we will introduce convolutional neural network and learning how to use PyTorch to do image processing for classic Dogs-vs-Cats problem. The knowledge of topics covered in the previous sessions is assumed. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-4-convolutional-neural-networks
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200227T130000
DTEND;TZID=America/Los_Angeles:20200227T150000
DTSTAMP:20260429T092332
CREATED:20191219T191424Z
LAST-MODIFIED:20200214T154339Z
UID:14835-1582808400-1582815600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Part I
DESCRIPTION:The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster\, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and how to submit batch and run interactive applications. \nIf you have questions or comments regarding this workshop\, please contact the instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-i
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200227T090000
DTEND;TZID=America/Los_Angeles:20200227T120000
DTSTAMP:20260429T092332
CREATED:20191213T230305Z
LAST-MODIFIED:20191220T192732Z
UID:14677-1582794000-1582804800@idre.ucla.edu
SUMMARY:Advanced Topics in Survey Data Analysis
DESCRIPTION:This workshop will cover advanced topics in the analysis of complex survey data.  Familiarity with common sampling plans and how to analyze data from them is necessary to understand the topics that will be discussed.  It is strongly suggested that attendees who do not have such familiarity attend the Introduction to Survey Data Analysis workshop before attending this workshop. \nThe workshop presents several advanced topics in dealing with complex survey data\, including imputation\, generating and using propensity scores\, multilevel modeling and latent variable models.  The workshop will discuss the use of several different statistical software packages (including SAS\, Stata and Mplus)\, but no single software package will be used for all examples. \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/advanced-topics-in-survey-data-analysis
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200226T140000
DTEND;TZID=America/Los_Angeles:20200226T160000
DTSTAMP:20260429T092332
CREATED:20191216T185612Z
LAST-MODIFIED:20191216T185612Z
UID:14733-1582725600-1582732800@idre.ucla.edu
SUMMARY:Job Scheduling on Hoffman2 Cluster
DESCRIPTION:We will discuss how to effectively run jobs on Hoffman2 cluster which 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\, (4) Job arrays and (5) High-priority jobs. \n\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-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200226T110000
DTEND;TZID=America/Los_Angeles:20200226T120000
DTSTAMP:20260429T092332
CREATED:20191213T231259Z
LAST-MODIFIED:20200403T215654Z
UID:14693-1582714800-1582718400@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (3) Using PyTorch
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the third session of the series\, we will illustrate the basic usage of PyTorch and how to make deep learning project using PyTorch. \nThe knowledge of topics covered in the first and second session about machine/deep learning is assumed. Working experience of Python\, Jupyter Notebooks will be helpful to follow the demos. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu. \nPlease register to the Zoom Meeting before joining.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-3-using-pytorch
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200221T110000
DTEND;TZID=America/Los_Angeles:20200221T120000
DTSTAMP:20260429T092332
CREATED:20191213T231038Z
LAST-MODIFIED:20200220T171117Z
UID:14689-1582282800-1582286400@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the second session of the series\, we will look into the procedures of working on a general deep learning project\, especially on how to train a deep neural network. The knowledge of topics covered in the first session is assumed. Basic knowledge of Calculus and Linear Algebra will be helpful to understand the details. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu. \n 
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-2-mechanics-of-deep-learning
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200220T110000
DTEND;TZID=America/Los_Angeles:20200220T120000
DTSTAMP:20260429T092332
CREATED:20200124T202129Z
LAST-MODIFIED:20200124T220025Z
UID:15571-1582196400-1582200000@idre.ucla.edu
SUMMARY:Accessibility Testing Training
DESCRIPTION:In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing. \nLearning Outcomes\nBy the end of this training you should be able to: \n\nDescribe the importance of accessibility testing\nTab test a website\nTurn on VO or NVDA\nDownload and run the Wave plug in for accessibility testing\nInterpret the results from the Wave Plug in\nRun the Word Document accessibility checker\nRun the PDF accessibility checker\n\nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-testing-training
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:20200220T090000
DTEND;TZID=America/Los_Angeles:20200220T120000
DTSTAMP:20260429T092332
CREATED:20191213T210336Z
LAST-MODIFIED:20191217T154815Z
UID:14669-1582189200-1582200000@idre.ucla.edu
SUMMARY:Introduction to Survey Data Analysis in Stata
DESCRIPTION:The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design.  The workshop will use Stata to conduct descriptive analyses and create graphs.  Examples of subpopulation analyses will be given\, as well as examples of linear and logistic regression models. \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-survey-data-analysis-in-stata
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200219T110000
DTEND;TZID=America/Los_Angeles:20200219T120000
DTSTAMP:20260429T092332
CREATED:20191213T230902Z
LAST-MODIFIED:20191216T210840Z
UID:14686-1582110000-1582113600@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (1) Introduction
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the first session of the series\, we will give general introduction about machine learning\, neural network and PyTorch. No specific prerequisite is required. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-pytorch-1-introduction
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200219T080000
DTEND;TZID=America/Los_Angeles:20200220T140000
DTSTAMP:20260429T092332
CREATED:20200130T214829Z
LAST-MODIFIED:20200130T215645Z
UID:15627-1582099200-1582207200@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 (February 19 – 20\, 2020\, 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/current-workshop \nAgenda: \nDay – 1:\n \n\n\n\nWednesday\, February 19\, 2020\nAll times given are Pacific\n\n\n08:00 AM\nWelcome\n\n\n08:25 AM\nIntro to Big Data\n\n\n09:00 AM\nHadoop\n\n\n09:30 AM\nIntro to Spark\n\n\n10:00 AM\nLunch Break\n\n\n11:00 AM\nSpark\n\n\n01:45 PM\nBridges: A Big Data Platform\n\n\n02:00 PM\nAdjourn\n\n\n\nDay – 2: \n\n\n\nThursday\, February 20\, 2020\nAll times given are Pacific\n\n\n08:00 AM\nMachine Learning: Recommender System with Spark\n\n\n10:00 AM\nLunch break\n\n\n11:00 AM\nDeep Learning with Tensorflow\n\n\n02:00 PM\nAdjourn\n\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/xsede-hpc-workshop-big-data-feb2020
LOCATION:OIT Conference Room 5907\, 5907 Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200218T130000
DTEND;TZID=America/Los_Angeles:20200218T160000
DTSTAMP:20260429T092332
CREATED:20191213T210118Z
LAST-MODIFIED:20191217T154546Z
UID:14666-1582030800-1582041600@idre.ucla.edu
SUMMARY:Regression Models with Count Data
DESCRIPTION:Regression models for data with a count outcome is part of the family of generalized linear models. This workshop is designed to give an overview on regression model with count data. The workshop includes a broad range of analyses available for count regression models such as Poisson regression\, negative binomial\, zero-inflated Poisson\, and zero-inflated negative binomial. The main statistical package in the workshop is R\, but code to implement count regression models in other statistical packages such as Stata\, SAS and SPSS will be provided. \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/regression-models-with-count-data
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200213T110000
DTEND;TZID=America/Los_Angeles:20200213T120000
DTSTAMP:20260429T092332
CREATED:20200124T202357Z
LAST-MODIFIED:20200124T215911Z
UID:15575-1581591600-1581595200@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION: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 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. \n\n\nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-7
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:20200129T140000
DTEND;TZID=America/Los_Angeles:20200129T160000
DTSTAMP:20260429T092332
CREATED:20191213T230713Z
LAST-MODIFIED:20191216T155342Z
UID:14683-1580306400-1580313600@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 how to make interactive widgets for interactive visualizations and dashboards\, how to generate analysis pipelines and reports\, and how to link notebooks with online tools such as GitHub and Binder to share an interactive notebook with collaborators or the general public. \nIf you have any further questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/jupyter-advanced-topics-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200123T090000
DTEND;TZID=America/Los_Angeles:20200123T120000
DTSTAMP:20260429T092332
CREATED:20191213T205746Z
LAST-MODIFIED:20191217T153819Z
UID:14663-1579770000-1579780800@idre.ucla.edu
SUMMARY:R Markdown
DESCRIPTION:R 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. \nIf you do not have a laptop to bring\, please borrow one from the library before coming to the workshop. \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/r-markdown
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200122T140000
DTEND;TZID=America/Los_Angeles:20200122T160000
DTSTAMP:20260429T092332
CREATED:20191213T230501Z
LAST-MODIFIED:20191216T155558Z
UID:14680-1579701600-1579708800@idre.ucla.edu
SUMMARY:Data Visualization with Python
DESCRIPTION:Python offers many graphing libraries for placing data into a visual context. This short class will be an interactive overview of libraries such as matplotlib\, seaborn\, ggplot\, Plotly\, Bokeh\, and others\, with a view to exploring features such plotting control\, usability\, and interactivity. Familiarity with Python will be useful. \nIf you have any further questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/data-visualization-with-python
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200122T090000
DTEND;TZID=America/Los_Angeles:20200122T120000
DTSTAMP:20260429T092332
CREATED:20191216T153917Z
LAST-MODIFIED:20191216T170202Z
UID:14713-1579683600-1579694400@idre.ucla.edu
SUMMARY:Introduction to GIS and Spatial Research
DESCRIPTION:As members of an academic community with a myriad of research initiatives\, the need to map information\, to spatially analyze\, to geoprocess\, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this question largely depends on what you want to map\, and how you want to create your map. The what is usually easy. It is driven by your passion to pursue a research question and to have maps assist in the development of an argument. The how is the difficult part. It may depend on what data you have\, what tools you have access to\, how comfortable you are with software packages\, if you are open to write code or use the command line. Often times\, your research question lends itself to a spatial argument. However\, providing insights to questions using spatial visualization tools is a process that involves any number of factors\, including: data acquisition\, data cleanup\, geo-enabling data\, geocoding data\, georeferencing data\, visualizing spatial data\, overlaying other spatial data\, conducting spatial analysis and/or geoprocessing\, analyzing results\, visualizing results\, and publishing results. There is no single application that can accomplish every phase of your spatial process. In this hands-on workshop\, learn how to think spatially\, and experiment with a variety of tools that may expand and enable your research through spatial discovery. \nThere are no pre-requisite requirements to take this workshop\, but please make sure to RSVP! Space is limited. \nIf you have questions regarding the workshop\, please contact the instructor Yoh Kawano.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-and-spatial-research
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200115T090000
DTEND;TZID=America/Los_Angeles:20200116T163000
DTSTAMP:20260429T092332
CREATED:20191220T194800Z
LAST-MODIFIED:20191220T194957Z
UID:14890-1579078800-1579192200@idre.ucla.edu
SUMMARY:Software Carpentry Workshop - R
DESCRIPTION:REGISTER HERE \nThis is a two day workshop.  \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. \nWorkshop Website: https://ucla-data-archive.github.io/2020-01-15-ucla/ (for more information on the workshop) \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: 5628 Math/Sciences Building. Get directions with OpenStreetMap or Google Maps. \nWhen: Jan 15-16\, 2020 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 here). \nCode of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed. \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 crwells@ucla.edu or datascience@ucla.edu for more information.
URL:https://idre.ucla.edu/calendar-event/software-carpentry-workshop-r
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200114T140000
DTEND;TZID=America/Los_Angeles:20200114T160000
DTSTAMP:20260429T092332
CREATED:20191216T153658Z
LAST-MODIFIED:20200102T182638Z
UID:14708-1579010400-1579017600@idre.ucla.edu
SUMMARY:Introduction to Data Visualization
DESCRIPTION:There are many ways to communicate the results of research. Visually representing data provides a valuable perspective within an academic argument. Data visualizations provide an overview or snapshot of a dataset\, draw attention to outliers\, demonstrate trends\, or simply help us to understand our data better. Functioning as evidentiary support\, data visualizations can sharpen key research findings. They can effectively transmit and help give meaning to big datasets. It should be noted though that there are both benefits and drawbacks to turning information into graphics\, both practically and intellectually. In this workshop\, we will cover why people may choose to visualize data. The workshop will expose participants to different types of data visualizations\, show them how to choose the right chart or graph for their content\, and share best practices for making those visualizations legible and accurate. With opportunities for hands-on work\, the workshop will cover various data viz tools that can be used to help get the job done for a wide-range of research needs. \nThere are no pre-requisite requirements to take this workshop\, but please make sure to RSVP! Space is limited. \nIf you have questions regarding the workshop\, please contact the instructor Francesca Albrezzi.
URL:https://idre.ucla.edu/calendar-event/introduction-to-data-visualization
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191210T110000
DTEND;TZID=America/Los_Angeles:20191210T120000
DTSTAMP:20260429T092332
CREATED:20191017T202440Z
LAST-MODIFIED:20191018T182434Z
UID:13951-1575975600-1575979200@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION: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 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. Please bring your laptop. \n  \nRSVP Now. \n  \nUse this Zoom link to join. \n 
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-6
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191203T080000
DTEND;TZID=America/Los_Angeles:20191204T140000
DTSTAMP:20260429T092332
CREATED:20191113T214315Z
LAST-MODIFIED:20191113T221651Z
UID:14610-1575360000-1575468000@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 3-4\, 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/current-workshop \nAgenda— Day – 1:\n \n\n\n\nTuesday\, December 3\, 2019\nAll times given are Pacific\n\n\n08:00 AM\nWelcome\n\n\n08:25 AM\nIntro to Big Data\n\n\n09:00 AM\nHadoop\n\n\n09:30 AM\nIntro to Spark\n\n\n10:00 AM\nLunch Break\n\n\n11:00 AM\nSpark\n\n\n01:45 PM\nBridges: A Big Data Platform\n\n\n02:00 PM\nAdjourn\n\n\n\nDay – 2: \n\n\n\nWednesday\, December 4\, 2019\nAll times given are Pacific\n\n\n08:00 AM\nMachine Learning: Recommender System with Spark\n\n\n10:00 AM\nLunch break\n\n\n11:00 AM\nDeep Learning with Tensorflow\n\n\n02:00 PM\nAdjourn\n\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/xsede-hpc-workshop-big-data-dec2019
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191121T110000
DTEND;TZID=America/Los_Angeles:20191121T120000
DTSTAMP:20260429T092332
CREATED:20191017T202300Z
LAST-MODIFIED:20191018T182501Z
UID:13949-1574334000-1574337600@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION: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 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. Please bring your laptop. \n  \nRSVP Now. \n  \nUse this Zoom link to join.
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-5
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191120T120000
DTEND;TZID=America/Los_Angeles:20191120T160000
DTSTAMP:20260429T092332
CREATED:20191010T190428Z
LAST-MODIFIED:20191114T003659Z
UID:13843-1574251200-1574265600@idre.ucla.edu
SUMMARY:IDRE Early Career Research Day
DESCRIPTION:Venue: Sequoia Room\, UCLA Faculty Center\, 480 Charles E. Young Drive East\, Los Angeles\nRegistration: RSVP link\nContact: T.V.Singh \nThe Institute for Digital Research and Education (IDRE) is pleased to announce the upcoming IDRE Early Career Research Day. This event is aimed to highlight the diverse research activities in computational science\, data science\, information science\, and digital scholarship at UCLA carried out by rising faculty and researchers\, post-docs\, and graduate and undergraduate students. It will also be an opportunity for early career researchers to network with their colleagues across campus. This event is part of IDRE activities in support of the IDRE Early Career Researcher’s (ECR) Group which aims to bring together scholars in the early phase of their careers engaged in developing and/or using digitally enabled innovative research methodologies. \nEarly Career Research Day:\nThe Early Career Research Day will be held on Wednesday\, November 20\, and will consist of buffet lunch followed by the poster session. The event is also open to members of the UCLA community who are interested in learning about the research activities of peer groups on campus. Please register at the RSVP link. \nCall for Poster Presentations– Deadline: November 4\, 2019:\nPoster presentations are welcome from IDRE early career researchers\, including assistant professors\, postdocs\, and graduate students from all disciplines and departments who are involved in digitally enabled research. Special recognition will be awarded for the top three posters including being part of feature stories in IDRE’s monthly newsletters. \nSubmission Guidelines:\nPlease submit a poster presentation abstract of no more than a page length with single spacing and 12-point font.  The maximum poster size will be 3.5 ft (1.1 m) wide by 4 ft (1.2 m) tall. \nDeadline: November 4\, 2019\nPlease send submissions by email to Tajendra Singh (tvsingh@ucla.edu) with “ECR poster session 2019” in the subject line. \nFor more information about IDRE ECR\, visit: https://idre.ucla.edu/early-career-researchers-group
URL:https://idre.ucla.edu/calendar-event/idre-ecr-day-2019
LOCATION:Sequoia Room\, UCLA Faculty Center\, 480 Charles E Young Dr S\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Meetings,Presentations,UCLA event
END:VEVENT
END:VCALENDAR