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X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180531T150000
DTEND;TZID=America/Los_Angeles:20180531T160000
DTSTAMP:20260429T125534
CREATED:20180515T214858Z
LAST-MODIFIED:20180515T214951Z
UID:10616-1527778800-1527782400@idre.ucla.edu
SUMMARY:Using Jupyter for Research and Collaboration
DESCRIPTION:The Jupyter notebook can be a programming and data analysis tool\, but it can also be a method to document and save an analysis workflow\, to share analysis routines and workflow with peers\, and to publicize the data analysis contained in articles.  Notebooks store and encapsulate computational thinking and processes in a manner that allows them to be retrieved\, re-used\, and distributed to others. This class will demonstrate how to take advantage of Jupyter for research and collaboration\, including methods for sharing notebooks and for collaborative editing and running.
URL:https://idre.ucla.edu/calendar-event/using-jupyter-for-research-and-collaboration
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180531T140000
DTEND;TZID=America/Los_Angeles:20180531T150000
DTSTAMP:20260429T125534
CREATED:20180515T214418Z
LAST-MODIFIED:20180515T214503Z
UID:10610-1527775200-1527778800@idre.ucla.edu
SUMMARY:Using Jupyter for Education
DESCRIPTION:Jupyter tools are increasingly being used for educational purposes.  With Jupyter notebooks\, teachers can share documents that are interactive and combine narrative text\, code\, multimedia\, equations\, and data analysis and visualization.  With nbgrader\, they can create gradable notebooks and automate the distribution/grading process\, and with JupyterHub\, they can provide a Jupyter environment to students that doesn’t place any demands on the students’ computational sophistication or resource availability.  This class will take an interactive tour through several educational Jupyter notebooks from a variety of fields\, followed by an introduction to JupyterHub and nbgrader.
URL:https://idre.ucla.edu/calendar-event/using-jupyter-for-education
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180531T130000
DTEND;TZID=America/Los_Angeles:20180531T140000
DTSTAMP:20260429T125534
CREATED:20180515T213947Z
LAST-MODIFIED:20180515T213947Z
UID:10606-1527771600-1527775200@idre.ucla.edu
SUMMARY:Introduction to Jupyter Notebooks
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.
URL:https://idre.ucla.edu/calendar-event/introduction-to-jupyter-notebooks
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180531T100000
DTEND;TZID=America/Los_Angeles:20180531T110000
DTSTAMP:20260429T125534
CREATED:20180409T181502Z
LAST-MODIFIED:20180411T165101Z
UID:10161-1527760800-1527764400@idre.ucla.edu
SUMMARY:An Overview of SAS Studio and Tools for Using SAS More Efficiently
DESCRIPTION:Title: An Overview of SAS Studio and Tools for Using SAS More Efficiently \nTime: 10AM-11AM \nLocation: Math Sciences 5628 IDRE Portal \nAbstract: \nSAS® University Edition is available at no cost to students\, educators\, and learners for academic\, noncommercial use\, making it easier than ever to access and learn SAS® software. One of the interfaces included with SAS University Edition is SAS® Studio\, a browser-based application that runs on all three major operating systems.  In addition to furnishing a code editor\, SAS Studio includes a variety of features to help you use SAS more efficiently.  For example\, SAS Studio provides graphical user interfaces to many of the commonly used analytical methods\, which are presented as “tasks.” These tasks enable users to obtain results much more quickly and easily. The underlying SAS® code is automatically generated in real time and can be used as a learning tool\, a building block for further analysis\, or a member of a larger analytical pipeline. SAS University Edition also includes the popular Jupyter Notebook interface. This interface can be used to generate reproducible\, dynamic documents that easily incorporate SAS code and results into course materials and reports for clients. This presentation highlights recently developed tools that enable you to more efficiently use SAS.
URL:https://idre.ucla.edu/calendar-event/an-overview-of-sas-studio-and-tools-for-using-sas-more-efficiently
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180530T140000
DTEND;TZID=America/Los_Angeles:20180530T160000
DTSTAMP:20260429T125534
CREATED:20180515T212610Z
LAST-MODIFIED:20180515T212610Z
UID:10601-1527688800-1527696000@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: An 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.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-an-introduction
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180530T113000
DTEND;TZID=America/Los_Angeles:20180530T133000
DTSTAMP:20260429T125534
CREATED:20180405T212200Z
LAST-MODIFIED:20180405T223838Z
UID:10129-1527679800-1527687000@idre.ucla.edu
SUMMARY:Tableau Public
DESCRIPTION:Advanced Research Workshop \nOverview of visualization software. Taught by Zoe Borovsky (Library) and Suvra Mostafa (Digital Research Project Assistant\, Master of Social Sciences candidate). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/tableau-public
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180523T113000
DTEND;TZID=America/Los_Angeles:20180523T133000
DTSTAMP:20260429T125534
CREATED:20180405T211930Z
LAST-MODIFIED:20180405T223827Z
UID:10127-1527075000-1527082200@idre.ucla.edu
SUMMARY:Data Visualization with ReactJS
DESCRIPTION:Advanced Research Workshop \nUsing ReactJS to display and share data on the Web. Taught by Hayk Zakaryan (Institute for Digital Research and Education). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/data-visualization-with-reactjs
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180521T140000
DTEND;TZID=America/Los_Angeles:20180521T160000
DTSTAMP:20260429T125534
CREATED:20180511T203230Z
LAST-MODIFIED:20180515T212821Z
UID:10575-1526911200-1526918400@idre.ucla.edu
SUMMARY:Python for High Performance Computing
DESCRIPTION:Python\, 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-spring-2018
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180521T090000
DTEND;TZID=America/Los_Angeles:20180521T120000
DTSTAMP:20260429T125534
CREATED:20180417T165641Z
LAST-MODIFIED:20180417T165641Z
UID:10186-1526893200-1526904000@idre.ucla.edu
SUMMARY:A Practical Introduction to Factor Analysis
DESCRIPTION:This workshop will give a practical overview of exploratory (EFA) and confirmatory (CFA) factor analysis. EFA topics to be covered include factor extraction\, principal components analysis\, estimation methods\, factor rotation\, refining the factor structure\, and generating factor scores for subsequent analyses. The latter portion of the seminar will introduce CFA topics such as identification and model fit\, and present examples of a one\, two and second order factor structure. SPSS will be used for the EFA portion of the seminar and Mplus will be used for the CFA portion.
URL:https://idre.ucla.edu/calendar-event/a-practical-introduction-to-factor-analysis
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180516T113000
DTEND;TZID=America/Los_Angeles:20180516T133000
DTSTAMP:20260429T125534
CREATED:20180405T211533Z
LAST-MODIFIED:20180405T223752Z
UID:10123-1526470200-1526477400@idre.ucla.edu
SUMMARY:Databases and Excel
DESCRIPTION:Advanced Research Workshop \nThis hands-on session will explore several tools useful in managing research data. The workshop will cover basic and advanced techniques in Microsoft Excel 2016 such as importing and formatting text\, tables\, PivotTables\, conditional formatting\, and connecting to external data sources. We will then cover software options for managing more complex datasets while discussing data topics such as relational databases\, controlling entries through controlled vocabularies\, and local vs online solutions. Taught by Deidre Whitmore (Cotsen Institute of Archaeology) and (Anthony Caldwell (Library/Center for Digital Humanities). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/databases-and-excel
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180515T090000
DTEND;TZID=America/Los_Angeles:20180515T160000
DTSTAMP:20260429T125534
CREATED:20180425T183906Z
LAST-MODIFIED:20180515T183611Z
UID:10341-1526374800-1526400000@idre.ucla.edu
SUMMARY:HPC and Big Data Analytics using Comet
DESCRIPTION:In collaboration with SDSC\,  IDRE is happy to announce the workshop “HPC and Big Data Analytics using Comet” as per the following details: \nVenue: 5628 Math Sciences Bldg.\nRSVP: link to the registration form (*lunch will be provided)\nRequirements: Participants need to bring their own laptops for hands-on exercises. \nAgenda: \n\n9:00 AM – 9:10 AM: Welcome\n9:10 AM – 10:10 AM: Introduction to SDSC Resources\n\nComet\, hardware overview\nSoftware\, stack\, queues\, etc\n\n\n10:10 AM – 10:20 AM: Short break\n10:20 AM -12:00 PM: Data Analysis using Python and Jupyter notebooks\n\nUse of Jupyter notebooks on Comet\nUsing python for data preparation on\, and explore pandas (the Python data analysis toolkit)\n\n\n12:00 PM – 1:00 PM: Lunch\n1:00 PM – 2:30 PM: Introduction to Machine Learning and Deep Learning on Comet\n\nOverview of machine learning / deep learning tools available on Comet.\nExamples using R\, Python\, and Keras with TensorFlow.\n\n\n2:30 PM – 2:40 PM: Short break\n2:40 PM – 4:00 PM: Introduction to containerization using Singularity on Comet\n\nOverview and background info for the need to do containerization\nBasic commands for using singularity images\nHands-on examples showing usage of containers\nHands-on example showing import of Docker container\nInfo on building images\n\n\n4:00 PM: Adjourn\n\nLink to the presentation slides: https://github.com/mahidhar/UCLA2018
URL:https://idre.ucla.edu/calendar-event/hpc-and-big-data-analytics-using-comet2018
CATEGORIES:Classes and Workshops,Education and Training,UCLA event
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180514T090000
DTEND;TZID=America/Los_Angeles:20180514T120000
DTSTAMP:20260429T125534
CREATED:20180417T165511Z
LAST-MODIFIED:20180417T165511Z
UID:10182-1526288400-1526299200@idre.ucla.edu
SUMMARY:Introduction to Power Analysis
DESCRIPTION:This workshop will describe what statistical power is and describe steps that can be taken to increase power. The information needed to conduct power analyses for commonly-used statistical tests will also be discussed.
URL:https://idre.ucla.edu/calendar-event/introduction-to-power-analysis
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T140000
DTEND;TZID=America/Los_Angeles:20180509T160000
DTSTAMP:20260429T125534
CREATED:20180405T211023Z
LAST-MODIFIED:20180405T223739Z
UID:10119-1525874400-1525881600@idre.ucla.edu
SUMMARY:Spatial Statistics in STATA
DESCRIPTION:Advanced Research Workshop \nDemonstrate how to use spmaps and maps module in STATA. Taught by Christine Wells and Albert Kochaphum (Institute for Digital Research and Education). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/spatial-statistics-in-stata
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T130000
DTEND;TZID=America/Los_Angeles:20180509T140000
DTSTAMP:20260429T125534
CREATED:20180417T215920Z
LAST-MODIFIED:20180420T144755Z
UID:10214-1525870800-1525874400@idre.ucla.edu
SUMMARY:Software Central – SurveyMonkey Training: Session #2
DESCRIPTION:If you have ever wondered what SurveyMonkey is or if you are already an in-the-know SurveyMonkey licensee\, we invite you to a live training session. \nSoftware Central is hosting two SurveyMonkey Training sessions on Wednesday\, May 9th\, in the IDRE Portal – 5628 Math Sciences Building. \nSession #1 will be at 10:30am to 11:30am \nSession #2 will be at 1:00pm to 2:00pm \nThe materials covered will be the same in both sessions: \n\nEnterprise overview – Collaboration and permission control on surveys.\nDesign – Best practices for a good looking\, high response rate survey including templates\, question types and using survey genius (*for advanced sessions we also take a look at advanced logic).\nCollect – Finding the right method to bring back the results you need.\nAnalyze – How best to filter and make sense of your data. How to export and present.\nQ&A\n\nThese sessions will not be recorded or broadcast\, so please plan on attending. \nSIGN UP NOW
URL:https://idre.ucla.edu/calendar-event/software-central-surveymonkey-training-session-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T113000
DTEND;TZID=America/Los_Angeles:20180509T133000
DTSTAMP:20260429T125534
CREATED:20180405T210808Z
LAST-MODIFIED:20180405T223719Z
UID:10117-1525865400-1525872600@idre.ucla.edu
SUMMARY:Research Data Management
DESCRIPTION:Advanced Research Workshop \nThe focus of this talk is on understanding and applying initial steps to facilitate data management and data reuse. Topics covered will include data management plans\, the data life cycle\, file management\, and metadata. Attendees will get a chance to practice using these approaches. Taught by Bethany Myers (Library). \nEvent is free. Available only to UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/research-data-management
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180509T103000
DTEND;TZID=America/Los_Angeles:20180509T113000
DTSTAMP:20260429T125534
CREATED:20180417T185714Z
LAST-MODIFIED:20180420T145027Z
UID:10191-1525861800-1525865400@idre.ucla.edu
SUMMARY:Software Central - SurveyMonkey Training: Session #1
DESCRIPTION:If you have ever wondered what SurveyMonkey is or if you are already an in-the-know SurveyMonkey licensee\, we invite you to a live training session. \nSoftware Central is hosting two SurveyMonkey Training sessions on Wednesday\, May 9th\, in the IDRE Portal – 5628 Math Sciences Building. \nSession #1 will be at 10:30am to 11:30am \nSession #2 will be at 1:00pm to 2:00pm \nThe material covered will be the same in both sessions: \n\nEnterprise overview – Collaboration and permission control on surveys.\nDesign – Best practices for a good looking\, high response rate survey including templates\, question types and using survey genius (*for advanced sessions we also take a look at advanced logic).\nCollect – Finding the right method to bring back the results you need.\nAnalyze – How best to filter and make sense of your data. How to export and present.\nQ&A\n\nThese sessions will not be recorded or broadcast\, so please plan on attending. \nSIGN UP NOW
URL:https://idre.ucla.edu/calendar-event/software-central-training-session
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180507T090000
DTEND;TZID=America/Los_Angeles:20180507T120000
DTSTAMP:20260429T125534
CREATED:20180417T162917Z
LAST-MODIFIED:20180417T163922Z
UID:10175-1525683600-1525694400@idre.ucla.edu
SUMMARY:Logistic Regression in SAS
DESCRIPTION:This workshop will cover modeling binary outcome with logistic regression in SAS. We will discuss the logistic regression model\, model building and fitting\, interpretation of estimated parameters\, assessment of model fit\, graphing of model effects\, and ROC analysis. This workshop does NOT cover ordinal or multinomial logistic regression.
URL:https://idre.ucla.edu/calendar-event/logistic-regression-in-sas
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180503T103000
DTEND;TZID=America/Los_Angeles:20180504T160000
DTSTAMP:20260429T125534
CREATED:20180423T222051Z
LAST-MODIFIED:20180503T012532Z
UID:10255-1525343400-1525449600@idre.ucla.edu
SUMMARY:High-performance programming: back to the hardware
DESCRIPTION:In collaboration with UCLA-ECE\, IDRE  invites you to the workshop “High-Performance programming: back to hardware” with the following details: \nOutline: \n\nArchitecture of modern CPUs – brief overview\nHow to efficiently use CPU computing resources\nMemory and cache architecture\nHow to use the memory system efficiently\nUsing multiple CPUs efficiently through concurrency\nMemory model\, locking\, memory barriers\n\nInstructor:\nFedor G Pikus\, Ph.D.\,\nChief Engineering Scientist\,\nDesign to Silicon division\,\nMentor Graphics Corp (Siemens business). \nTiming: 10:30 AM – 4 PM on 5/3/2018 (Thursday)\, and 9:00 AM – 4:00 PM on 5/4/2018 (Friday) \nRequirements: Please bring your own laptop for handson exercises. \n\nRSVP – registration link (*lunch will be provided) \n\n\nAbstract: The great “free lunch” of programming is over. Until recently\, the programs just got faster by themselves as the time went by and the CPUs got upgraded. This does not happen anymore. The clock frequency of the new processors has peaked and even decreased slightly from the maximum. New architectures provide small improvements for existing programs\, but only small improvements. The processors do get larger\, more complex\, and more powerful\, but most of this new power goes into the increased number of processing cores and other “extra” computing units. To write efficient software\, one now has to make good use of the available computing resources. \nIt used to be that to write any half-decent program\, you had to know your hardware. Then\, the hardware became hidden\, abstracted behind higher-level languages; that was a good thing as the programmers could focus on writing programs in the way that expressed what they wanted to do\, not how it had to be done. Now we find ourselves reaching for the old arcane knowledge of hardware again: from ones and zeros we came\, to ones and zeros we return\, from now and until the next level of abstractions and high-level languages are invented. Still\, evolution is a spiral not a circle\, and we do not need to discard what we learned about good programming practices simply because we need to write efficient programs again. To put it another way\, just because our programs have to be as effective at getting every last bit of hardware performance as they were twenty years ago\, does not mean they have to be as difficult to read and debug. \nIn pursuit of performance\, we have at our disposal an amazing\, powerful\, and bewildering array of choices: concurrency (programming with multiple threads and multiple processes)\, atomic operations and lock-free programming\, special CPU instructions and special accelerator hardware\, memory and cache management\, shared memory. \nWe will learn what really happens when your program is executed\, what subtle details make a program slow or fast\, and how to make the best use of the available computing resources. We will talk about which performance considerations should be considered early in the design stage\, and which can be taken care of during implementation\, or\, even later\, optimization\, and what tools are available to measure the performance of your programs and their components. Most importantly\, I want to show you how to learn more about writing efficient programs and discover new knowledge as you need it. \n\n\n\n\nBio: Fedor G Pikus is a Chief Engineering Scientist in the Design to Silicon division of Mentor Graphics Corp (Siemens business). His earlier positions included a Senior Software Engineer at Google and a Chief Software Architect for Calibre PERC\, LVS\, DFM at Mentor Graphics. He joined Mentor Graphics in 1998 when he made a switch from academic research in computational physics to software industry. His responsibilities as a Chief Scientist include planning long-term technical direction of Calibre products\, directing and training the engineers who work on these products\, design and architecture of the software\, and research in new design and software technologies. Fedor has over 25 patents and over 100 papers and conference presentations on physics\, EDA\, software design\, and C++ language. \n 
URL:https://idre.ucla.edu/calendar-event/high-performance-programming-back-to-the-hardware
CATEGORIES:Classes and Workshops,Education and Training,UCLA event
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180502T140000
DTEND;TZID=America/Los_Angeles:20180502T160000
DTSTAMP:20260429T125534
CREATED:20180405T203245Z
LAST-MODIFIED:20180405T220635Z
UID:10114-1525269600-1525276800@idre.ucla.edu
SUMMARY:Zotero
DESCRIPTION:Advanced Research Workshop \nZoe Borovsky (Library) and Bethany Myers (Library) cover the basics and some fancy\, advanced features of this popular\, free\, web-based application. \n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/zotero
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180502T113000
DTEND;TZID=America/Los_Angeles:20180502T133000
DTSTAMP:20260429T125534
CREATED:20180405T201143Z
LAST-MODIFIED:20180405T220644Z
UID:10083-1525260600-1525267800@idre.ucla.edu
SUMMARY:Introduction to Spatial Data
DESCRIPTION:Advanced Research Workshop \nHow to get started with spatial data and statistics. Taught by Albert Kochaphum and Christine Wells (Institute for Digital Research and Education). \nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-spatial-data
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180501T100000
DTEND;TZID=America/Los_Angeles:20180501T120000
DTSTAMP:20260429T125534
CREATED:20180501T195544Z
LAST-MODIFIED:20180501T195544Z
UID:10455-1525168800-1525176000@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation Series: Automated Linux Instance Deployment on Microsoft Azure Cloud through Kepler Workflows
DESCRIPTION:IDRE will be doing a demo of automated Linux instance deployment on Microsoft Azure Cloud Platform using Kepler workflow software.  An instance will be created on demand and terminated upon completion of remote execution.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-series-automated-linux-instance-deployment-on-microsoft-azure-cloud-through-kepler-workflows
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180501T080000
DTEND;TZID=America/Los_Angeles:20180502T140000
DTSTAMP:20260429T125534
CREATED:20180410T174451Z
LAST-MODIFIED:20180410T174942Z
UID:10166-1525161600-1525269600@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 (May 1-2\, 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/hpc-workshop-series/big-data-may-2018 \nAgenda: \n\n\n\nTuesday\, May 1\, 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\, May 2\, 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\nFor more information and registration information\, visit the workshop webpage: \nhttps://www.psc.edu/hpc-workshop-series/big-data-may-2018
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-may-2018
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180425T113000
DTEND;TZID=America/Los_Angeles:20180425T133000
DTSTAMP:20260429T125534
CREATED:20180405T191704Z
LAST-MODIFIED:20180405T220820Z
UID:10081-1524655800-1524663000@idre.ucla.edu
SUMMARY:Introduction to Statistical Software
DESCRIPTION:Advanced Research Workshop \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\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/introduction-to-statistical-software
LOCATION:Research Commons (RC) Classroom\, 11630F Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180418T113000
DTEND;TZID=America/Los_Angeles:20180418T133000
DTSTAMP:20260429T125534
CREATED:20180405T185004Z
LAST-MODIFIED:20180405T220655Z
UID:10077-1524051000-1524058200@idre.ucla.edu
SUMMARY:ATLAS.ti
DESCRIPTION:Advanced Research Workshop \n\nThis workshop will provide an overview of the ATLAS.ti software\, a tool that allows researchers to encode and use qualitative analysis methods on their “soft” data\, e.g. text (interview transcripts)\, video\, audio\, images (maps)\, surveys\, and more! We’ll provide hands-on practice using various types of data samples utilizing powerful tools within the software to manage\, analyze\, and integrate resources from your research projects. Taught by Suvra Mostafa (Digital Research Project Assistant\, Master of Social Sciences candidate). \n\n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/atlas-ti
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180411T140000
DTEND;TZID=America/Los_Angeles:20180411T160000
DTSTAMP:20260429T125534
CREATED:20180405T164210Z
LAST-MODIFIED:20180405T220706Z
UID:10074-1523455200-1523462400@idre.ucla.edu
SUMMARY:Data Management in R
DESCRIPTION:Advanced Research Workshop \n\nAndy Lin (Institute for Digital Research and Education) teaches a more advanced R session. \n\n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/data-management-in-r
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180411T113000
DTEND;TZID=America/Los_Angeles:20180411T133000
DTSTAMP:20260429T125534
CREATED:20180405T163955Z
LAST-MODIFIED:20180405T224424Z
UID:10069-1523446200-1523453400@idre.ucla.edu
SUMMARY:Spatial Statistics in ArcGIS
DESCRIPTION:Advanced Research Workshop – \nUsing the spatial Statistics Toolbox in ArcGIS and presenting maps ArcGIS Online. Taught by Albert Kochaphum and Yoh Kawano (Institute for Digital Research and Education). \n\n\n\nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/spatial-statistics-in-arcgis
ORGANIZER;CN="Albert Kochaphum":MAILTO:albertkun@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180405T120000
DTEND;TZID=America/Los_Angeles:20180405T140000
DTSTAMP:20260429T125534
CREATED:20180405T163758Z
LAST-MODIFIED:20180405T220716Z
UID:10066-1522929600-1522936800@idre.ucla.edu
SUMMARY:Practical Python: Advanced Python Usage for Scripting and Data Visualization
DESCRIPTION:Advanced Research Workshop \n\n\nTaught by Albert Kochaphum (Institute for Digital Research and Education). \nEvent is free. Available to only UCLA students\, faculty\, staff\, and visiting scholars. See website link below to RSVP. \nSee other research training courses here.
URL:https://idre.ucla.edu/calendar-event/practical-python-advanced-python-usage-for-scripting-and-data-visualization
LOCATION:West Electronic Classroom\, 23167 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
ORGANIZER;CN="Albert Kochaphum":MAILTO:albertkun@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180403T100000
DTEND;TZID=America/Los_Angeles:20180403T110000
DTSTAMP:20260429T125534
CREATED:20180403T154207Z
LAST-MODIFIED:20180403T172919Z
UID:10060-1522749600-1522753200@idre.ucla.edu
SUMMARY:Streaming data workflow to mimic sensors and control
DESCRIPTION:We will do a demo of streaming data workflow using Kepler software.  In this demo\, workflow will listen to data coming into a specific port on a laptop and process the data in a naive and simple way and send the output back to control.
URL:https://idre.ucla.edu/calendar-event/streaming-data-workflow-to-mimic-sensors-and-control
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180327T100000
DTEND;TZID=America/Los_Angeles:20180327T110000
DTSTAMP:20260429T125534
CREATED:20180321T212939Z
LAST-MODIFIED:20180321T212939Z
UID:10044-1522144800-1522148400@idre.ucla.edu
SUMMARY:Charliecloud container deployment
DESCRIPTION:We will have a presentation on the unprivileged user namespace on Linux Kernel and Charliecloud container deployment.  We will have Charliecloud container running on both Ubuntu and CentOS 7. We are interested in user namespace as a way to get around security issues in deploying Docker container.  Our investigation is preliminary in nature.  You are welcome to join us if you have interest in this topic.
URL:https://idre.ucla.edu/calendar-event/charliecloud-container-deployment
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180305T090000
DTEND;TZID=America/Los_Angeles:20180305T120000
DTSTAMP:20260429T125534
CREATED:20171215T000203Z
LAST-MODIFIED:20171219T193142Z
UID:9725-1520240400-1520251200@idre.ucla.edu
SUMMARY:Data Management in R
DESCRIPTION:This seminar introduces R packages and functions that help users import\, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages\, but draws on other packages for useful functions as needed.  Topics include data import\, transforming variables\, string functions\, missing data\, merging datasets\, reshaping data\, grouped data processing\, and looping. \nNOTE: All researchers are welcome to attend.
URL:https://idre.ucla.edu/calendar-event/data-management-r
END:VEVENT
END:VCALENDAR