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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:20171002T090000
DTEND;TZID=America/Los_Angeles:20171002T120000
DTSTAMP:20260429T140446
CREATED:20170717T174956Z
LAST-MODIFIED:20170717T174956Z
UID:8746-1506934800-1506945600@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:Stata is a powerful and yet easy-to-use statistical package that runs on Windows\, Macintosh and Unix platforms.  This class is designed for people who are just getting started using Stata.  The students in the class will have a hands-on experience using Stata for statistics\, graphics and data management.  The class notes can be found at https://stats.idre.ucla.edu/stata/seminars/notes/ .
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata-3
LOCATION:CLICC Classroom B\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170912T080000
DTEND;TZID=America/Los_Angeles:20170913T140000
DTSTAMP:20260429T140446
CREATED:20170823T203135Z
LAST-MODIFIED:20170823T203821Z
UID:8835-1505203200-1505311200@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 (September 12-13\, 2017\, 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-september-2017 \nAgenda: \n\n\n\n\nTuesday\, September 12  \nAll times given are Pacific \n\n\n\n08:00\nWelcome\n\n\n08:25\nIntro to Big Data\n\n\n09:00\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\n\nWednesday\, September 13   \nAll times given are Pacific \n\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-september-2017 \n 
URL:https://idre.ucla.edu/calendar-event/xsede-hpc-workshop-big-data
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170626T080000
DTEND;TZID=America/Los_Angeles:20170630T150000
DTSTAMP:20260429T140446
CREATED:20170419T215817Z
LAST-MODIFIED:20170419T220812Z
UID:8231-1498464000-1498834800@idre.ucla.edu
SUMMARY:Scaling to Petascale Institute
DESCRIPTION:UCLA Institute for Digital Research and Education is happy to be a collaborating host site for the “Scaling to Petascale Institute” to be held during June 26-30\, 2017. \nRegistrations are now open at https://bluewaters.ncsa.illinois.edu/petascale-summer-institute/registration \nScaling to Petascale Institute: \n\nDo you have a computational problem that would benefit from using a large scale computing system?\nDo you need to scale your simulation or data analysis to a Petascale system?\n\nThis institute is for people developing\, modifying and supporting research projects who seek to enhance their knowledge and skills to scale software to Petascale and emerging extreme scale computing systems. Participants should have familiarity with Linux\, programming in Fortran\, C\, C++\, Python or similar language\, and familiarity with MPI (message passing interface). There will be hands-on activities for many of the sessions. \nPresentations will be made by faculty and professionals from Argonne Leadership Computing Facility (ALCF)\, the Blue Waters project at the National Center for Supercomputing Applications (NCSA)\, National Energy Research Scientific Computing Center (NERSC)\, Oak Ridge Leadership Computing Facility (OLCF)\, Stony Brook University\, and the Texas Advanced Computing Center (TACC). \nAttend the Institute in person at UCLA-IDRE.  Participants will be able to verbally ask questions of the presenters through two-way video conferencing facilities. Participants will receive training accounts on the Blue Waters\, NERSC and TACC systems. Staff will be available at each site to assist during hands-on sessions. Seating at each site is limited\, and registration is handled on a first-come first-served basis. \nThe agenda will address the following topics: \n\nMPI – Introduction and Advanced topics\nOpenMP\nScaling\, code profiling\, and debugging\nGPU programming\nOpenACC\nPhi programming\nSoftware libraries\nParallel I/O\nHDF5\nGlobus\nSoftware engineering\n\nThe institute is led by Argonne Leadership Computing Facility (ALCF)\, the Blue Waters project at the National Center for Supercomputing Applications (NCSA)\, the National Energy Research Scientific Computing Center (NERSC)\, the Oak Ridge Leadership Computing Facility (OLCF)\, and the Texas Advanced Computing Center (TACC). \nThe detail information for the institute is at “https://bluewaters.ncsa.illinois.edu/petascale-summer-institute”.
URL:https://idre.ucla.edu/calendar-event/scaling-petascale-institute
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170620T090000
DTEND;TZID=America/Los_Angeles:20170622T170000
DTSTAMP:20260429T140446
CREATED:20170321T174818Z
LAST-MODIFIED:20170404T202548Z
UID:7985-1497949200-1498150800@idre.ucla.edu
SUMMARY:SAS Programming II
DESCRIPTION:This workshop is for those who need to learn data manipulation techniques using SAS data and procedure steps to access\, transform\, and summarize SAS data sets. The course builds on the concepts that are presented in the Introduction to SAS Programming workshop and is not recommended for beginning SAS software users.  In this hands-on workshop\, you will learn how to control SAS data set input and output; combine SAS data sets; summarize\, read and write different types of data; perform DO loop and SAS array processing; and transform character\, numeric and date variables.  This workshop will be presented by an instructor from SAS.  This is the second of two workshops in preparation for the Base SAS Certification examination. \nPlease RSVP here: http://www.surveygizmo.com/s3/3450976/Onsite-Workshops-UCLA-May \nNote: This event is open ONLY to those currently affiliated with the University of California.
URL:https://idre.ucla.edu/calendar-event/sas-programming-ii-2
LOCATION:CLICC Classroom C\, 320 Powell Library\, 10740 Dickson Court\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170525T140000
DTEND;TZID=America/Los_Angeles:20170525T170000
DTSTAMP:20260429T140446
CREATED:20170420T010233Z
LAST-MODIFIED:20170501T190636Z
UID:8252-1495720800-1495731600@idre.ucla.edu
SUMMARY:3D Animatin’: Focus on Adobe After Effects
DESCRIPTION:Instructor: Bruce McCrimmon \nThis workshop will go through how to import and creating 3D models from Maya for animating in Adobe After Effects. Basic skills to be covered are converting models\, rotating models\, and animating motion. \n 
URL:https://idre.ucla.edu/calendar-event/3d-animatin-focus-adobe-effects
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170519T140000
DTEND;TZID=America/Los_Angeles:20170519T170000
DTSTAMP:20260429T140446
CREATED:20170420T011133Z
LAST-MODIFIED:20170501T190649Z
UID:8256-1495202400-1495213200@idre.ucla.edu
SUMMARY:Story Mappin’
DESCRIPTION:Instructors: Yoh Kawano\, Andy Rutkowski\, and Albert Kochaphum \nThe workshop will be the culmination of the workshop series by teaching a platform in which to showcase projects. Ranging from CartoDB to ESRI’s Story Maps\, this workshop will cover: using tabular data for mapping\, converting data into a digital web map\, and creating a narrative structure using story maps. \n 
URL:https://idre.ucla.edu/calendar-event/story-mappin
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170516T170000
DTEND;TZID=America/Los_Angeles:20170516T190000
DTSTAMP:20260429T140446
CREATED:20170420T154128Z
LAST-MODIFIED:20170506T003322Z
UID:8262-1494954000-1494961200@idre.ucla.edu
SUMMARY:A Focus on Mapping with ArcGIS
DESCRIPTION:Instructors: Yoh Kawano\, Albert Kochaphum\, Andy Rutkowski. \nThis workshop will go over step-by-step how to create a map using ArcGIS. We will discuss spatial joins\, styling data\, and how to utilize basic spatial tools. Data will be provided. \n 
URL:https://idre.ucla.edu/calendar-event/focus-mapping-arcgis
LOCATION:East Electronic Classroom\, 21536 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170512T140000
DTEND;TZID=America/Los_Angeles:20170512T170000
DTSTAMP:20260429T140446
CREATED:20170420T003624Z
LAST-MODIFIED:20170505T232455Z
UID:8248-1494597600-1494608400@idre.ucla.edu
SUMMARY:Web Scrapin’: Focus on Python
DESCRIPTION:Instructors: Albert Kochaphum and Pete Broadwell \nStarting with a simple introduction to Python\, this workshop will demonstrate how to turn structured data from any website into a csv file. Topics include the following: identifying appropriate websites\, installing Python\, tweaking Python code\, and examining the data output. \n 
URL:https://idre.ucla.edu/calendar-event/web-scrapin-focus-python
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170511T130000
DTEND;TZID=America/Los_Angeles:20170511T150000
DTSTAMP:20260429T140446
CREATED:20170428T174521Z
LAST-MODIFIED:20170502T230412Z
UID:8370-1494507600-1494514800@idre.ucla.edu
SUMMARY:Using Hoffman2 Cluster
DESCRIPTION:This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster\, so they can make the best use of UCLA computational resources. The following topics will be covered: \n1. How to access and login to the Hoffman2 Cluster\, primarily in terminal/command-line mode.\n2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster\, illustrated by hands-on example transcripts.\n3. A brief introduction to Univa Grid Engine (UGE) commands and how to achieve more control over resources. \nThis session is appropriate for entry-level and mid-level cluster users. No prerequisite knowledge is required\, but some working experience with basic Unix system commands and Fortran or C programming languages will be helpful. \nThe registrants are recommended to do a quick survey in the following link before the class: https://www.surveymonkey.com/r/LGBD3KK
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2017-05-11
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170510T114500
DTEND;TZID=America/Los_Angeles:20170510T130000
DTSTAMP:20260429T140446
CREATED:20170411T181933Z
LAST-MODIFIED:20170506T205142Z
UID:8169-1494416700-1494421200@idre.ucla.edu
SUMMARY:Resurrecting Historical Monuments: 3D Models\, Metadata\, and the Case of the Lady Chapel at Saint-Germain-des-Prés
DESCRIPTION:  \n  \nSpeaker: Kristine Tanton\, Ph.D.\,\nIDRE Scholar\,\nDepartment of Art History\,\nUniversity of California\, Los Angeles \n  \nTime: 11:45 A.M. – 1 P.M. (Lunch will be served*)\nDate: May 10\, 2017\nLocation: 5628\, Math Sciences Building\nRSVP: https://idre.ucla.edu/calendar-event/resurrecting-historical-monuments#rsvp \n  \nAbstract: How do art and architectural historians study monuments that have been lost to time? Our understanding of these monuments relies mainly on fragmentary evidence such as textual descriptions\, drawings\, or lithic fragments scattered throughout various warehouses\, archives\, and museums. Advances in CAD-based software has made it possible to bring these disparate sources together to reconstruct digitally these monumental specters. A current challenge for scholars is how do we annotate our 3D models and share them across various platforms and native software.\n \nThe digital humanities project\, Paris Past and Present at UCLA (Prof. Meredith Cohen\, PI)\, aims to reconstruct digitally in 3D the lost monuments of Gothic Paris (ca. 1000~1500) with archaeological precision. By integrating the fragmented evidence remaining from these buildings into coherent virtual models\, we can expand the limited corpus of extant monuments and reshape our knowledge of medieval architecture. A significant component of our work has been developing a method of reconstruction and display that clarifies the difference between original evidence\, extrapolations based on the evidence\, and sheer hypothesis. To this end we are integrating existing architectural practices (e.g.\, OpenBIM)\, which allow us to attach data to our models.\n \nIn this paper\, I will discuss how we are developing standards for attaching\, viewing\, and sharing data for 3D models. Using our reconstruction of the thirteenth-century Lady Chapel of Saint-Germain-des-Prés as a case study\, I will discuss how our annotation process integrates existing OpenBIM technology to document all data and project workflow for our 3D models\, while also addressing the unique needs for historical reconstructions to the scholarly community. \nAbout speaker: Kristine Tanton is an IDRE postdoctoral fellow and project manager for the collaborative project at UCLA\, Paris Past and Present. Working with Prof. Meredith Cohen (PI\, Department of Art History) and a team of graduate and undergraduate students\, she manages project workflow and serves as a modeler for the project. To date\, the team has completed 3D models for about a dozen buildings that were first constructed during the reign of Louis IX (Saint Louis). \nDr. Tanton received her Ph.D. in Art History from the University of Southern California in 2013. She integrates traditional and emerging methods to study the dynamic relationship among sculpture\, architecture\, and ritual activity in the Middle Ages. She is especially interested in how new media and information technology can transform research and pedagogy in the field of pre-modern art and architectural history. Using digital tools such as 3D reconstructions\, animations to track ritual movements through architectural space\, and databases to formally and quantitatively analyze large datasets\, she has been able to reevaluate long-held assumptions about canonical sites to gain insights into medieval architectural design and construction methods. \n  \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by May 8\, 2017.
URL:https://idre.ucla.edu/calendar-event/resurrecting-historical-monuments
CATEGORIES:Classes and Workshops,Conferences and Seminars,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170509T170000
DTEND;TZID=America/Los_Angeles:20170509T190000
DTSTAMP:20260429T140446
CREATED:20170420T153919Z
LAST-MODIFIED:20170506T003245Z
UID:8259-1494349200-1494356400@idre.ucla.edu
SUMMARY:A Focus on Mapping Data Sources
DESCRIPTION:Instructors: Yoh Kawano\, Andy Rutkowski\, and Albert Kochaphum. \nHaving a hard time finding a data source? This workshop will go over strategies for locating and using a variety of open and proprietary data sources\, including Social Explorer\, SimplyMap\, PolicyMap\, EVGeoCloud\, and Los Angeles Open Data. \n 
URL:https://idre.ucla.edu/calendar-event/focus-mapping-data-sources-v2
LOCATION:East Electronic Classroom\, 21536 Young Research Library\, 280 Charles E Young Drive North\, Los Angeles\, CA\, 90095\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170508T090000
DTEND;TZID=America/Los_Angeles:20170508T120000
DTSTAMP:20260429T140446
CREATED:20170321T174032Z
LAST-MODIFIED:20170321T174535Z
UID:7979-1494234000-1494244800@idre.ucla.edu
SUMMARY:Stata Data Management
DESCRIPTION:This workshop covers Stata commands and methods for common data management tasks\, such as identifying data errors\, identifying duplicated data\, specifying missing values\, working with string variables\, labeling variables\, creating new variables\, merging datasets\, processing data by groups and using loops for repetitive tasks.  The workshops is focused on preparing data for statistical analysis.
URL:https://idre.ucla.edu/calendar-event/stata-data-management
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170505T140000
DTEND;TZID=America/Los_Angeles:20170505T170000
DTSTAMP:20260429T140446
CREATED:20170420T002146Z
LAST-MODIFIED:20170501T194135Z
UID:8240-1493992800-1494003600@idre.ucla.edu
SUMMARY:Filmmakin’: Equipment\, Shooting and Editing
DESCRIPTION:Instructors: Yoh Kawano and Albert Kochaphum \nThis workshop is for those who want to use film as a method of research\, whether in creating a documentary film\, or to collect qualitative data through interviews. The workshop will cover the basics on what equipment to use\, how to shoot an interview\, B Roll\, and verite footage. Using Adobe Premiere Pro\, this workshop will also cover the basics video editing\, from creating a project\, importing media\, editing clips\, adding transitions and effects\, working with titles\, working with audio\, and outputting a finalized video file. \n 
URL:https://idre.ucla.edu/calendar-event/filmmakin-equipment-shooting-editing
ORGANIZER;CN="Albert Kochaphum":MAILTO:albertkun@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170502T090000
DTEND;TZID=America/Los_Angeles:20170504T170000
DTSTAMP:20260429T140446
CREATED:20170321T174228Z
LAST-MODIFIED:20170404T205130Z
UID:7982-1493715600-1493917200@idre.ucla.edu
SUMMARY:SAS Programming I
DESCRIPTION:Description:  This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses.  This workshop will be presented by an instructor from SAS.  This is the first of two workshops in preparation for the Base SAS Certification examination. \nPlease RSVP here: http://www.surveygizmo.com/s3/3450976/Onsite-Workshops-UCLA-May \nNote: This event is open ONLY to those currently affiliated with the University of California.
URL:https://idre.ucla.edu/calendar-event/sas-programming-i
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170501T090000
DTEND;TZID=America/Los_Angeles:20170501T120000
DTSTAMP:20260429T140446
CREATED:20170321T173853Z
LAST-MODIFIED:20170321T174404Z
UID:7976-1493629200-1493640000@idre.ucla.edu
SUMMARY:Analyzing and Visualizing Interactions in SAS
DESCRIPTION:This workshop introduces methods of analyzing interactions (moderated effects) in regression models:  calculating\, comparing and graphing simple effects and slopes.  Specifically\, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation.  Examples include two- and three-way interactions in linear regression and two-way interactions in logistic regression.  Although the concepts of moderation and interaction are reviewed in the seminar\, some background in regression and moderation is recommended.
URL:https://idre.ucla.edu/calendar-event/analyzing-visualizing-interactions-sas
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170424T090000
DTEND;TZID=America/Los_Angeles:20170424T120000
DTSTAMP:20260429T140446
CREATED:20170321T173637Z
LAST-MODIFIED:20170321T175314Z
UID:7972-1493024400-1493035200@idre.ucla.edu
SUMMARY:Introduction to Mplus
DESCRIPTION:Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis\, confirmatory factor analysis\, latent class analysis\, latent growth curve modeling\, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started using Mplus. Our aim is to orient participants to the basic structure\, syntax\, data and output associated with this package. Mplus version 7.4 will be used for this workshop. \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-mplus
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170412T114500
DTEND;TZID=America/Los_Angeles:20170412T130000
DTSTAMP:20260429T140446
CREATED:20170313T195634Z
LAST-MODIFIED:20170313T195634Z
UID:7870-1491997500-1492002000@idre.ucla.edu
SUMMARY:Accelerating Next-Generation DNA Sequencing
DESCRIPTION:  \nSpeaker: Dr. Zhenman Fang\, Ph.D.\,\nIDRE Scholar\,\nComputer Science Department\,\nUniversity of California\, Los Angeles \nTime: 11:45 A.M. – 1 P.M. (Lunch will be serverd*)\nDate: Apr 12\, 2017\nLocation: 5628\, Math Sciences Building\nRSVP: https://idre.ucla.edu/calendar-event/accel-next-gen-dna-seqn#rsvp \n  \nAbstract: Modern medical research is being transformed with the advance of next-generation sequencing technologies that dramatically reduce the cost of sequencing an individual human genome from $10M to $1\,000 in the past decade. This sequencing technology is widely utilized in research and is transitioning into the clinic for applications such as sequencing cancer tumors. To be more cost-effective\, genome sequencers obtain the sequence of billions of small fragments in the range of a few hundred nucleotides (called short reads) of a whole genome. Therefore\, we have to reconstruct all these short reads back into a whole human genome for genome variant calling and cancer discovery. This poses great computational challenges: state-of-the-art DNA sequencing pipeline takes around a week on a 12-core CPU server. \nIn this talk\, I will present various ways to accelerate the next-generation DNA sequencing pipeline done in our Center for Domain-Specific Computing (CDSC)\, with the final goal to reduce the computation time to a few hours. First\, we scale out the computation by leveraging the power of a CPU cluster/datacenter. Second\, we scale up the computation by developing hardware accelerators on commodity energy-efficient FPGAs that can be plugged into the CPU server. Moreover\, we combine these two techniques and address the new challenges in FPGA-enabled datacenters. I will talk about our current status in accelerating the DNA sequencing pipeline and show some promising results we have achieved using the aforementioned techniques [FCCM 2015\, HotCloud 2016\, ACM SOCC 2016]. \n\nAbout Speaker: Dr. Zhenman Fang is an IDRE scholar and a postdoc in the Computer Science Department\, UCLA\, working with Prof. Jason Cong and Prof. Glenn Reinman. He is a member of the NSF/Intel funded multi-university Center for Domain-Specific Computing (CDSC) and the SRC/DARPA funded multi-university Center for Future Architectures Research (C-FAR). Zhenman received his PhD in June 2014 from Fudan University\, China and spent the last 15 months of his PhD program visiting University of Minnesota at Twin Cities. Zhenman’s research lies at the boundary of big data workloads and systems\, heterogeneous and energy-efficient accelerator-rich architectures and systems\, and system-level design automation. He has published 10+ papers in top venues that span across computer architecture (HPCA\, TACO\, ICS)\, design automation (DAC\, ICCAD\, FCCM)\, and cloud computing (ACM SOCC). He received several awards\, including a best paper nominee of HPCA 2017\, a best demo award (3rd place) at the C-FAR center annual review. More details can be found in his personal website: https://sites.google.com/site/fangzhenman/. \n\n *Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by April 6\, 2017.
URL:https://idre.ucla.edu/calendar-event/accel-next-gen-dna-seqn
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170410T090000
DTEND;TZID=America/Los_Angeles:20170410T120000
DTSTAMP:20260429T140446
CREATED:20170321T172918Z
LAST-MODIFIED:20170329T224633Z
UID:7968-1491814800-1491825600@idre.ucla.edu
SUMMARY:Survey Data Analysis in SAS
DESCRIPTION:This workshop covers descriptive analyses\, both numerical and graphical\, with both continuous and categorical variables.  Subpopulation analysis will be discussed\, and then examples of OLS regression and logistic regression will be considered.
URL:https://idre.ucla.edu/calendar-event/survey-data-analysis-sas-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170404T090000
DTEND;TZID=America/Los_Angeles:20170404T163000
DTSTAMP:20260429T140446
CREATED:20170315T190127Z
LAST-MODIFIED:20170404T231412Z
UID:7878-1491296400-1491323400@idre.ucla.edu
SUMMARY:HPC and Big Data Analytics using Comet
DESCRIPTION:UCLA-IDRE and SDSC are organizing the workshop “HPC and Big Data Analytics using Comet” in order to introduce the Comet supercomputer and its usage to the researchers at UCLA. \nComet\, a petascale supercomputer at San Diego Supercomputing Center (SDSC)\, is one of the key resources within the NSF’s XSEDE (Extreme Science and Engineering Discovery Environment) program. It provides “free” computer time via XSEDE portal to the researchers across USA. The participants will be able to get hands-on experience on Comet during the workshop’s different sessions. \nThe RSVP link and the agenda for the workshop are as follows: \nRSVP: https://idre.ucla.edu/calendar-event/hpc-big-data-analytics-using-comet#rsvp \nAgenda:  \n(Link to slides: https://github.com/sdsc-scicomp/2017-04-04-comet-workshop-ucla) \n9:00 AM – 9:10 AM: Introduction & Welcome \n9:10 AM – 10:00 AM: Comet – SDSC’s 2 PetaFLOPS HPC Resource \n\nArchitecture\, queue/partition info\, software stack\nExamples for compute\, shared\, gpu\, and gpu-shared partitions\nHands-on on Comet to help prep for next sessions which will use Comet\n\n10:00 AM – 10:30 AM: Science Gateways \n10:30 AM – 10:40 AM: Short break \n10:40 AM- 12:00 PM:  Introduction to Hadoop on Comet \n\nOverview of running Hadoop within scheduler frameworks (using myHadoop)\nDemonstration/Hands on of Hadoop cluster spin up\, interactive usage\nNew technologies/approaches like RDMA-Hadoop and hands on with RDMA-Hadoop\n\n12 PM – 1 PM: Lunch (provided by IDRE)\n \n1:00 PM – 2:00 PM: Data Analytics and Data Mining  \n\nR and parallel execution of R\nData mining/machine learning\n\n2:00 PM- 3:00 PM: Python for Scientific Computing \n\nHow to run Jupyter notebook on Comet\nUse IPython Parallel for distributed computation\nEasy multithreading and distributed computing with dask\n\n3:00 PM-3:10 PM: Short break \n3:05 PM – 4:30 PM: Spark for Scientific Computing \n\nOverview of the capabilities of Spark and how they can be leveraged to solve problems in Scientific Computing\nHands-on introduction to Spark\, from batch and interactive usage on Comet to running a sample map/reduce example in Python\nTwo key libraries in the Spark ecosystem: Spark SQL\, a general purpose query engine that can interface to SQL databases or JSON files and Spark MLlib\, a scalable Machine Learning library\n\n4:30 PM: Wrap up
URL:https://idre.ucla.edu/calendar-event/hpc-big-data-analytics-using-comet
CATEGORIES:Classes and Workshops,Education and Training,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170308T114500
DTEND;TZID=America/Los_Angeles:20170308T130000
DTSTAMP:20260429T140446
CREATED:20170206T211937Z
LAST-MODIFIED:20170303T215336Z
UID:7649-1488973500-1488978000@idre.ucla.edu
SUMMARY:Polycrystalline crystal plasticity with grain boundary evolution
DESCRIPTION:  \n  \n  \n  \nSpeaker: Nikhil Chandra Admal\, Ph.D.\,\nIDRE Scholar\,\nDepartment of Materials Science and Engineering\,\nUniversity of California\, Los Angeles \n  \nTime:  11:45 a.m. to 1 p.m. (Lunch will be served*)\nDate: March 8\, 2017\nLocation:  5628\, Math Sciences Building \nRSVP:  https://idre.ucla.edu/calendar-event/polycrystalline-…undary-evolution#rsvp \n\n\n\nAbstract: Dynamic recrystallization can be defined as a spontaneous change in the mi- crostructure of a material during deformation at an elevated temperature due to the growth of defect-free grains through the motion of high angle grain boundaries. One of the most important uses of recrystallization is in metal processing\, where recrystallized grains increase the ductility\, resulting in better control of the grain structure. On the other hand\, it is undesirable from a design perspective\, since recrystallization alters the microstructure resulting in a change in the material’s macroscopic properties. In this talk\, I will describe our ongoing work on modeling grain growth during recrystallization in the presence of external loads. \nDynamic recrystallization is a uniquely challenging phenomenon to model since the microstructure and the material deformation evolve at the same time scale. Grain boundary motion in the absence of deformation is commonly modeled using phase field models\, while the deformation of a material with a fixed grain boundary structure is commonly modeled using crystal plasticity. In this work\, we develop a thermodynamically consistent model which models deformation and grain growth simultaneously\, thus enabling us to understand dynamic recrystalliza- tion. The highlight of this model is it is a non-classical gradient elastic model that can simulate various interesting phenomena observed in dynamic recrystallization\, where a grain rotates to increase/decrease its misorientation as its grain boundary evolves. \nAbout Speaker: Dr. Nikhil  Chandra Admal is postdoctoral research scholar working with Prof. Jaime Marian in the Materials Science and Engineering department at UCLA. He is broadly interested in the multiscale modeling of materials at various length and times scales ranging from the atomic scale to the continuum scale. Currently\, the focus of his research is on the study of recrystallization in refractory materials to increase their operating temperature\, and development of first-principles strain gradient elastic models to include non-local effects relevant in micromechanical systems\, and systems with defects. \nPrior to joining UCLA\, Dr. Admal obtained his PhD from the Department of Aerospace Engineering and Mechanics at the University of Minnesota. \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by March 05\, 2017.
URL:https://idre.ucla.edu/calendar-event/polycrystalline-crystal-plasticity-grain-boundary-evolution
CATEGORIES:Conferences and Seminars,Meetings,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170307T090000
DTEND;TZID=America/Los_Angeles:20170307T120000
DTSTAMP:20260429T140446
CREATED:20161102T230647Z
LAST-MODIFIED:20170214T231138Z
UID:6983-1488877200-1488888000@idre.ucla.edu
SUMMARY:Graphics in R: Introduction to ggplot2
DESCRIPTION:This workshop introduces how to use the R ggplot2 package to produce publication-quality graphics\, particularly for data analysis accompanying a planned regression model. First\, the underlying grammar (system) of graphics is introduced with demonstrations. Then the usage of ggplot2 for exploratory graphs\, model diagnostics\, and presentation of model results is illustrated through 3 examples.
URL:https://idre.ucla.edu/calendar-event/introduction-to-ggplot2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170228T090000
DTEND;TZID=America/Los_Angeles:20170228T120000
DTSTAMP:20260429T140446
CREATED:20161102T230553Z
LAST-MODIFIED:20170214T235956Z
UID:6980-1488272400-1488283200@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:R is a powerful statistical package that runs on many platforms\, including Windows\, Macintosh and Unix. This class is designed for people who are just getting started using R. The students in the class will have a hands-on experience using R for statistics\, graphics\, and data management. 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. However\, it is possible for individuals to use the class notes to help in learning R even if they don’t enroll in the workshop.
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-4
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170217T100000
DTEND;TZID=America/Los_Angeles:20170217T120000
DTSTAMP:20260429T140446
CREATED:20170123T183349Z
LAST-MODIFIED:20170202T031956Z
UID:7353-1487325600-1487332800@idre.ucla.edu
SUMMARY:Python for High Performance Computing II
DESCRIPTION:Python\, originally developed as a general purpose programming language\, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific computing\, and introduce a number of supporting packages\, including numpy for array-based computations and h5py to access HDF5 files\, and the use of Python in parallel computing (MPI style). \nThis is part 2 of a 2-part presentation.
URL:https://idre.ucla.edu/calendar-event/python-high-performance-computing-ii
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170215T114500
DTEND;TZID=America/Los_Angeles:20170215T130000
DTSTAMP:20260429T140446
CREATED:20170118T200050Z
LAST-MODIFIED:20170211T053711Z
UID:7310-1487159100-1487163600@idre.ucla.edu
SUMMARY:Data as Infrastructure: CDS\, Astronomy and beyond
DESCRIPTION:  \n  \n  \nSpeaker: Dr. Françoise Genova\,\nAstronomer\, Centre de Données astronomiques de Strasbourg \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nDate: Feb 15\, 2017\nLocation:  5628\, Math Sciences Building \nRegistration: https://idre.ucla.edu/calendar-event/data-as-infrastructure#rsvp ‎ \n  \nAbstract: Science data sharing is currently high in the political agenda\, but some disciplines began to share their data long ago. Astronomy has been at the forefront\, and now data is one of the discipline research infrastructures widely used by astronomers in their daily research work. The pioneering work of Strasbourg astronomical data centre CDS\, which was founded in 1972\, will be described\, as well as the astronomical data network and its global interoperability layer\, the Virtual Observatory. Many other disciplines are establishing structures to share their data\, which vary considerably by their culture and history. A few French examples (humanities\, earth sciences) will be described. Finally\, the way the Research Data Alliance (RDA) tackles the general question of enabling research data sharing will be briefly discussed. \nSpeaker: Françoise Genova was the director of the Strasbourg astronomical data centre CDS from 1995 to 2015\, and one of the founding parents of the astronomical Virtual Observatory project. She has coordinated several projects dealing with the European Virtual Observatory. She currently leads the “Data Access\, Discovery and Interoperability” Work Package of the European ASTERICS astronomy Cluster\, which aims to optimize the usage of data from large astronomical projects through the Virtual Observatory. She was a member of the High Level Expert Group on Scientific Data of the European Commission\, which wrote the “Riding the wave” report (2010) and the subsequent “Data Harvest” report. She is co-chair of the RDA Technical Advisory Board\, and an active member to several RDA Europe projects. She is a current member of the Data Seal of Approval Board\, and a past member of the WDS Scientific Committee (2009-2015) and of CODATA Executive Committee (2010-2012). \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by Feb. 10\, 2017.
URL:https://idre.ucla.edu/calendar-event/data-as-infrastructure
CATEGORIES:Conferences and Seminars,Meetings,Presentations
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170214T090000
DTEND;TZID=America/Los_Angeles:20170214T120000
DTSTAMP:20260429T140446
CREATED:20161102T230444Z
LAST-MODIFIED:20161102T230444Z
UID:6977-1487062800-1487073600@idre.ucla.edu
SUMMARY:Introduction to Regression with SPSS
DESCRIPTION:This workshop will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment\, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals\, unusual and influential data\, homoscedasticity and multicollinearity. The third part of this workshop will introduce categorical variables.  Special attention will be given to interpreting a two-way categorical interaction with dummy variables and multiple-category predictors.
URL:https://idre.ucla.edu/calendar-event/introduction-regression-spss-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170210T100000
DTEND;TZID=America/Los_Angeles:20170210T120000
DTSTAMP:20260429T140446
CREATED:20170123T183535Z
LAST-MODIFIED:20170202T032015Z
UID:7351-1486720800-1486728000@idre.ucla.edu
SUMMARY:Python for High Performance Computing I
DESCRIPTION:Python\, originally developed as a general purpose programming language\, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific computing\, and introduce a number of supporting packages\, including numpy for array-based computations and h5py to access HDF5 files\, and the use of Python in parallel computing (MPI style). \nThis is part 1 of a 2-part presentation.
URL:https://idre.ucla.edu/calendar-event/python-high-performance-computing
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170209T100000
DTEND;TZID=America/Los_Angeles:20170209T120000
DTSTAMP:20260429T140446
CREATED:20170123T183807Z
LAST-MODIFIED:20170123T183807Z
UID:7349-1486634400-1486641600@idre.ucla.edu
SUMMARY:Using Hoffman2 cluster
DESCRIPTION:This session is a general introduction to how to use UCLA Hoffman2 Cluster. The objective is to familiarize current and potential cluster users with the Hoffman2 Cluster\, so they can make the best use of UCLA computational resources. The following topics will be covered: \n1. How to access and login to the Hoffman2 Cluster\, primarily in terminal/command-line mode.\n2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster\, illustrated by hands-on example transcripts.\n3. A brief introduction to Univa Grid Engine (UGE) commands and how to achieve more control over resources. \nThis session is appropriate for entry-level and mid-level cluster users. No prerequisite knowledge is required\, but some working experience with basic Unix system commands and Fortran or C programming languages will be helpful.  The registrants are recommended to do a quick survey in the following link before the class: https://www.surveymonkey.com/r/5KW8LQ2
URL:https://idre.ucla.edu/calendar-event/using-hoffman2-cluster-2017-winter
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170208T114500
DTEND;TZID=America/Los_Angeles:20170208T130000
DTSTAMP:20260429T140446
CREATED:20170118T195927Z
LAST-MODIFIED:20170206T185451Z
UID:7323-1486554300-1486558800@idre.ucla.edu
SUMMARY:Big Data and Information Policies for Behavior Change
DESCRIPTION:  \n  \nSpeaker: Omar I. Asensio\, Ph.D.\, IDRE Scholar\nInstitute of the Environment & Sustainability\,\nAnderson School of Management Ziman Center\,\nUCLA \nTime:  12 p.m. to 1 p.m. (Lunch will be served*)\nDate: Feb 8\, 2017\nLocation:  5628\, Math Sciences Building \nRegistration:   https://idre.ucla.edu/calendar-event/big-data-and-information-policies#rsvp‎ \n  \nAbstract:\nMobile apps and smart metering technologies can provide a wealth of data and information to guide real-time decisions about consumption or investment. However\, we often have limited understanding of how information provided with these technologies can be framed to meet social or policy objectives. In this talk\, I will discuss experimental evidence on the effectiveness of information to drive energy conservation behavior in residential and commercial buildings. Emphasis will be placed on the framing of incentives\, smart metering and approaches to accelerate the adoption of innovations through changes in behavior. \nSpeaker’s bio:\nDr. Omar I. Asensio is a postdoctoral scholar at UCLA’s Institute of the Environment & Sustainability and the Anderson School of Management Ziman Center. He uses field experiments and quantitative methods to address innovation challenges related to energy\, transportation and urban sustainability. His forthcoming research on energy efficiency strategies in commercial buildings will be featured in Science – Editor’s choice section. He holds a doctorate in environmental science and engineering from UCLA and is a former National Science Foundation IGERT fellow with a topic in clean energy for green industry. \n*Lunch will be served at 11:45 AM.\n**To ensure you have a space at the seminar\, please RSVP by Feb 05\, 2017.
URL:https://idre.ucla.edu/calendar-event/big-data-and-information-policies
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170207T090000
DTEND;TZID=America/Los_Angeles:20170207T120000
DTSTAMP:20260429T140446
CREATED:20161102T230016Z
LAST-MODIFIED:20161102T230016Z
UID:6973-1486458000-1486468800@idre.ucla.edu
SUMMARY:Applied Survey Data Analysis with Stata
DESCRIPTION:This workshop will show how descriptive analyses\, both numerical and graphical\, can be done with continuous and categorical variables.  Subpopulation analysis will be discussed\, and then examples of OLS regression and logistic regression will be considered.
URL:https://idre.ucla.edu/calendar-event/applied-survey-data-analysis-stata
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20170131T090000
DTEND;TZID=America/Los_Angeles:20170131T120000
DTSTAMP:20260429T140446
CREATED:20161102T225632Z
LAST-MODIFIED:20161102T230250Z
UID:6969-1485853200-1485864000@idre.ucla.edu
SUMMARY:Multiple Imputation in SAS 9.4
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\, the se workshop will focus on the one of the most commonly used modern methods\, multiple imputation.  The workshop will cover multiple imputation using the multivariate normal and imputation by chained equations as well as imputation diagnostics.
URL:https://idre.ucla.edu/calendar-event/multiple-imputation-sas-9-4
END:VEVENT
END:VCALENDAR