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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:20181001T140000
DTEND;TZID=America/Los_Angeles:20181001T160000
DTSTAMP:20260502T192934
CREATED:20180913T233710Z
LAST-MODIFIED:20180920T221200Z
UID:11295-1538402400-1538409600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Introduction
DESCRIPTION:The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of porting your own applications on the cluster or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-introduction
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180925T100000
DTEND;TZID=America/Los_Angeles:20180925T110000
DTSTAMP:20260502T192934
CREATED:20180830T182105Z
LAST-MODIFIED:20180919T215333Z
UID:11179-1537869600-1537873200@idre.ucla.edu
SUMMARY:Google Machine Learning Crash Course
DESCRIPTION:This is a recurring weekly event from Tuesday\, Sept. 4th – Tuesday\, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nFor the past several weeks we have presented data frames in Python\, R and Julia. Now that we are all familiar with Python Pandas data frame\, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash Course site. \n\n\n9/25/18 Course Title: “Live Demo of Machine Learning using  Amazon AWS Machine Learning Framework Interfaces”\nDuring the September 25th presentation of machine learning interfaces\, we will deploy a machine learning exercise on Amazon AWS using Amazon AWS machine learning framework interfaces.
URL:https://idre.ucla.edu/calendar-event/google-machine-learning-crash-course-4
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180918T100000
DTEND;TZID=America/Los_Angeles:20180918T110000
DTSTAMP:20260502T192934
CREATED:20180830T182004Z
LAST-MODIFIED:20180913T202939Z
UID:11177-1537264800-1537268400@idre.ucla.edu
SUMMARY:Google Machine Learning Crash Course
DESCRIPTION:This is a recurring weekly event from Tuesday\, Sept. 4th – Tuesday\, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nFor the past several weeks we have presented data frames in Python\, R and Julia. Now that we are all familiar with Python Pandas data frame\, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash Course site. \n\n9/18/18 Course details coming soon…
URL:https://idre.ucla.edu/calendar-event/google-machine-learning-crash-course-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180917T090000
DTEND;TZID=America/Los_Angeles:20180919T170000
DTSTAMP:20260502T192934
CREATED:20180731T000422Z
LAST-MODIFIED:20180913T205627Z
UID:10931-1537174800-1537376400@idre.ucla.edu
SUMMARY:University Stats Camp: Longitudinal Structural Equation Modeling (SEM) Seminar
DESCRIPTION:A comprehensive 3-day Stats Camp seminar on Longitudinal SEM.\nThis camp is an intensive seminar consisting of lectures\, discussions and one-on-one consultations to provide participants with advanced training in SEM for the analysis of longitudinal data. \nTopics include:\n\nDesign and measurement issues in cross-sectional and longitudinal research\nTraditional panel designs\nOverview of missing data\nLatent growth curve modeling\nTesting for Mediation and Moderation\nMultilevel and multiple group SEM\nUsing Phantom Constructs\nMultiple group modeling\n\n  \nInstructor\, Todd Little\, Ph.D. & Elizabeth Grandfield. Ph.D. Candidate \n9:00am – 5:00pm Daily. \nAdvanced course. Recommended for researchers\, faculty\, graduate students and Post-Docs. \nOpen to public. Registration with UCLA email address receives 25% Off Discount. Use Discount Code: UCLASTATSCAMP \nLimited Seating Available. Register soon! \nBreakfast and Lunch included. \nFor more information\, please visit the official event page on the University Statistics Camp website. \n 
URL:https://idre.ucla.edu/calendar-event/university-stats-camp-longitudinal-structural-equation-modeling-sem-seminar
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180917T090000
DTEND;TZID=America/Los_Angeles:20180919T170000
DTSTAMP:20260502T192934
CREATED:20180731T000007Z
LAST-MODIFIED:20180913T205646Z
UID:10935-1537174800-1537376400@idre.ucla.edu
SUMMARY:University Stats Camp: Multilevel Structural Equation Modeling with xxM Seminar
DESCRIPTION:A comprehensive 3-day Stats Camp seminar on Multilevel SEM with xxM.\nThis seminar teaches skills necessary to conduct analysis of complex multilevel data-structures from an nLevel Structural Equation Modeling perspective. \nConventional multilevel modeling and multilevel-structural equation modeling work well with ‘standard’ multilevel data. The n-Level structural equation modeling (NL-SEM) framework is intended for both conventional and non-standard data-structures. Non-standard data are indeed very common across multiple domains but rarely analyzed in a satisfactory manner. \n  \nInstructor\, Paras Mehta\, Ph.D. \n9:00am – 5:00pm Daily. \nAdvanced course. Recommended for researchers\, faculty\, graduate students and Post-Docs. \nOpen to public. Registration with UCLA email address receives 25% Off Discount. Use Discount Code: UCLASTATSCAMP \nLimited Seating Available. Register soon! \nBreakfast and Lunch included. \nFor registration and more information\, please visit the official event page on the University Statistics Camp website. \n 
URL:https://idre.ucla.edu/calendar-event/university-stats-camp-multilevel-structural-equation-modeling-with-xxm-seminar
LOCATION:OIT Conference Room 5308B\, 5308B Math Sciences Building\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180911T100000
DTEND;TZID=America/Los_Angeles:20180911T110000
DTSTAMP:20260502T192934
CREATED:20180830T181856Z
LAST-MODIFIED:20180910T202130Z
UID:11175-1536660000-1536663600@idre.ucla.edu
SUMMARY:Google Machine Learning Crash Course
DESCRIPTION:This is a recurring weekly event from Tuesday\, Sept. 4th – Tuesday\, Oct. 2nd (5 courses total). Please attend all weeks if your time permits. No RSVP is necessary. \nFor the past several weeks we have presented data frames in Python\, R and Julia. Now that we are all familiar with Python Pandas data frame\, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash Course site. \n\n9/11/18 Course Title: “Machine Learning using Linear Regression in Tensorflow”\nDuring this week’s Machine Learning class we will work through examples that use Linear Regression algorithms in Tensorflow. Please attend if you are interested in learning Tensorflow APIs.
URL:https://idre.ucla.edu/calendar-event/google-machine-learning-crash-course-2
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180905T080000
DTEND;TZID=America/Los_Angeles:20180906T140000
DTSTAMP:20260502T192934
CREATED:20180821T223909Z
LAST-MODIFIED:20180829T234531Z
UID:11072-1536134400-1536242400@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 (Sept 5-6\, 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/current-workshop \nAgenda: \n\n\n\nWednesday\, September 5\, 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\nThursday\, September 6\, 2018\nAll times given are Pacific\n\n\n08:00\nMachine Learning: Recommender System with Spark\n\n\n10:00\nLunch break\n\n\n11:00\nDeep Learning with Tensorflow\n\n\n01:30\nBridges: A Big Data Platform\n\n\n02:00\nAdjourn\n\n\n\n 
URL:https://idre.ucla.edu/calendar-event/workshop-big-data-sept-2018
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180904T100000
DTEND;TZID=America/Los_Angeles:20180904T110000
DTSTAMP:20260502T192934
CREATED:20180829T233023Z
LAST-MODIFIED:20180830T181335Z
UID:11168-1536055200-1536058800@idre.ucla.edu
SUMMARY:Google Machine Learning Crash Course
DESCRIPTION:This is a weekly event\, starting September 4th\, Tuesday and ending October 2nd\, Tuesday. \nFor the past several weeks we have presented data frames in Python\, R and Julia. Now that we are all familiar with Python Pandas data frame\, we will start applying our knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash Course site. Please attend all weeks if your time permits. \nNo RSVP is necessary.
URL:https://idre.ucla.edu/calendar-event/google-machine-learning-crash-course
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180822T100000
DTEND;TZID=America/Los_Angeles:20180822T130000
DTSTAMP:20260502T192934
CREATED:20180730T185809Z
LAST-MODIFIED:20180821T000005Z
UID:10892-1534932000-1534942800@idre.ucla.edu
SUMMARY:Build\, Train\, and Deploy ML Models at Scale with Amazon SageMaker
DESCRIPTION:In this tutorial participants learn to solve Machine / Deep Learning problems using the tools available in the Amazon Web Services (AWS) cloud. The development and application of machine learning models is a vital part of scientific and technical computing. Increasing model training data size generally improves model prediction and performance\, but deploying models at scale is a challenge. Participants will learn to use Amazon SageMaker\, a new AWS service that simplifies the machine learning process and enables training on cloud stored datasets at any scale. \nApplications will include: \n\nsatellite imagery\, MXNet\, LandSat dataset : automatically mapping buildings in Vietnam\nchemistry\, DeepChem: building an online compound solubility prediction workflow\ngenomics\, 1000 genomes dataset\n\nThe tutorial will walk attendees through the process of building a model\, training it\, and applying it for prediction. Working in web-based Jupyter Notebooks powered by AWS\, we’ll explore common algorithms (e.g. k-means and PCA) and deep learning with MXNet and TensorFlow. Participants will become familiar with SDKs for Python and Spark and other APIs that make machine learning with AWS easy to use. With Amazon SageMaker\, users take their code and analysis to the data\, and participants will experiment on real-world datasets\, such as Earth on AWS and the Cancer Genome Atlas. At the end of the session\, attendees will have the resources and experience to start using Amazon SageMaker and other AWS services to accelerate their scientific research and time to discovery. \nFood: Pizza will be served. \n\nIntended audience \nMachine Learning Practitioners old and new: developers\, scientists\, data science practitioners\, research staff\, and any other interested persons. Participants should have some familiarity with: \n\npython\njupyter notebooks\nbasic machine learning methods\n\n\nAgenda \n10:00:  Speaker and Facilitator Introductions\n10:05:  Introduction to Amazon Sagemaker\n10:25:  Environment Setup\n10:45:  Lab 1 – Digit Classification with the Amazon Linear Learner Algorithm; guided walk-through and recap\n11:15:  Lab 2 – Distributed Training with TensorFlow (self-guided)\n11:45:  Lab 3 – How to Bring Your Own Model (self-guided)\n12:15:  Break\n12:20:  Lab 4 – Using Public Datasets (self-guided)\n12:50:  Closing and pizza \n\nPrereqs for Workshop \n\nAWS Account (already created)\nAccess to SageMaker\, S3\, ECR from your IAM role.\nAccess to SageMaker service role AmazonSageMaker-ExecutionRole or ability to create IAM roles.\n\nPlease make sure to have these taken care of prior to the workshop.  If you do not have an account\, please open an account following the directions on Software Central here:  (a $0 PO is fine if you don’t want to use a credit card.)  https://softwarecentral.ucla.edu/amazon-aws-howto.  If you have questions\, please email matsonh@amazon.com. \nNote:  AWS will provide credits so you will not incur charges related to the workshop (as long as you shut down any resources running in your account after the workshop concludes). \n\nRSVP by visiting the following link: RSVP form\n 
URL:https://idre.ucla.edu/calendar-event/build-train-and-deploy-ml-models-at-scale-with-amazon-sagemaker
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180814T100000
DTEND;TZID=America/Los_Angeles:20180814T230000
DTSTAMP:20260502T192934
CREATED:20180809T221858Z
LAST-MODIFIED:20180809T221858Z
UID:11014-1534240800-1534287600@idre.ucla.edu
SUMMARY:Data contextualization with Python Pandas Dataframe
DESCRIPTION:We will present Data Contextualization using Python Pandas dataframe on August 14th 2018 @10:00 am in room 3909 MSA.  We will also do some benchmark with Julia on the same problem. \n  \nPlease attend if your time permits.  Thanks.
URL:https://idre.ucla.edu/calendar-event/data-contextualization-with-python-pandas-dataframe
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180807T100000
DTEND;TZID=America/Los_Angeles:20180807T120000
DTSTAMP:20260502T192934
CREATED:20180730T155833Z
LAST-MODIFIED:20180730T160003Z
UID:10890-1533636000-1533643200@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation: Rolling mill exit temperature prediction data contextualization workflow with Matlab and Julia on August 7th 2018 Tuesday @10:00 am in room 3909 MSA (Part II)
DESCRIPTION:  \nWe will do a demo of Kepler workflow to contextualize the data used for rolling mill exit temperature prediction.  This will be talk 2 of this series.  We will be running the workflow in 3-way parallel mode.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-rolling-mill-exit-temperature-prediction-data-contextualization-workflow-with-matlab-and-julia-on-august-7th-2018-tuesday-1000-am-in-room-3909-msa-part-ii
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180731T100000
DTEND;TZID=America/Los_Angeles:20180731T120000
DTSTAMP:20260502T192934
CREATED:20180730T155454Z
LAST-MODIFIED:20180730T155923Z
UID:10888-1533031200-1533038400@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation: Rolling mill exit temperature prediction data contextualization workflow with Matlab and Julia on July 31st 2018 Tuesday @10:00 am in room 3909 MSA (Part I)
DESCRIPTION:We will do a demo of Kepler workflow to contextualize the data used for rolling mill exit temperature prediction.  This will be talk 1 (out of 2) of this series.  We will be running the workflow in 3-way parallel mode.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-rolling-mill-exit-temperature-prediction-data-contextualization-workflow-with-matlab-and-julia-on-july-31st-2018-tuesday-1000-am-in-room-3909-msa-part-i
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180726T090000
DTEND;TZID=America/Los_Angeles:20180726T120000
DTSTAMP:20260502T192934
CREATED:20180618T213847Z
LAST-MODIFIED:20180618T213934Z
UID:10838-1532595600-1532606400@idre.ucla.edu
SUMMARY:Principal Components and Exploratory Factor Analysis with SPSS
DESCRIPTION:This seminar will give a practical overview of both principal components analysis (PCA) and exploratory factor analysis (EFA) using SPSS. We will begin with variance partitioning and explain how it determines the use of a PCA or EFA model. For the PCA portion of the seminar\, we will introduce topics such as eigenvalues and eigenvectors\, communalities\, sum of squared loadings\, total variance explained\, and choosing the number of components to extract. For the EFA portion\, we will discuss factor extraction\, estimation methods\, factor rotation\, and generating factor scores for subsequent analyses. The seminar will focus on how to run a PCA and EFA in SPSS and thoroughly interpret output\, using the hypothetical SPSS Anxiety Questionnaire as a motivating example. \nAll researchers are welcome to the workshop. \nRSVP by visiting the following link: RSVP form.
URL:https://idre.ucla.edu/calendar-event/rsvp-principal-components-and-exploratory-factor-analysis-with-spss
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180719T090000
DTEND;TZID=America/Los_Angeles:20180719T120000
DTSTAMP:20260502T192934
CREATED:20180618T202605Z
LAST-MODIFIED:20180618T213715Z
UID:10836-1531990800-1532001600@idre.ucla.edu
SUMMARY:Applied Survey Data Analysis in Stata 15
DESCRIPTION:This workshop will cover both descriptive and inferential statistics with complex survey data. We will also discuss some graphical methods that can be used with weighted data. \nAll researchers are welcome to the workshop. \nRSVP by visiting the following link: RSVP form.
URL:https://idre.ucla.edu/calendar-event/applied-survey-data-analysis-in-stata-15
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180712T090000
DTEND;TZID=America/Los_Angeles:20180712T120000
DTSTAMP:20260502T192934
CREATED:20180618T195226Z
LAST-MODIFIED:20180618T200745Z
UID:10824-1531386000-1531396800@idre.ucla.edu
SUMMARY:R Graphics: Introduction to ggplot2
DESCRIPTION:This seminar teaches the “grammar” of graphics that underlies the ggplot2 package\, allowing the user to build eye-catching\, publication-quality graphics easily and intuitively\, layer-by-layer.  The seminar focuses on producing statistical graphics throughout the data analysis process\, including exploratory graphs\, graphs of model effects and diagnostic graphs to assess model assumptions. \nAll researchers are welcome to the workshop. \nRSVP by visiting the following link: RSVP form.
URL:https://idre.ucla.edu/calendar-event/r-graphics-introduction-to-ggplot2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180703T100000
DTEND;TZID=America/Los_Angeles:20180703T110000
DTSTAMP:20260502T192934
CREATED:20180625T204750Z
LAST-MODIFIED:20180625T204907Z
UID:10844-1530612000-1530615600@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation:  Data Contextualization using DataFrame in Julia on June 26th and July 3rd 2018 (Part 3 and 4 Julia talk)
DESCRIPTION:Date: Tuesday\, June 26th and July 3rd 2018 \nTime: 10:00 AM \nLocation: 3909 Math Sciences Building\, UCLA \nIDRE will discuss and do a demo of Data Contextualization using DataFrame in Julia.  This will be talks 3 and 4 of Julia programming language demo series. For the demo we will use the computational resource usage data of our HPC Hoffman2 cluster itself because it produces both static data and streaming data. \nPlease attend if your time permits.  Thanks. \nNB: If you missed Julia talks 1 and 2 please drop by early on Tuesday\, we will bring you up to date on Julia.
URL:https://idre.ucla.edu/calendar-event/10844
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180626T100000
DTEND;TZID=America/Los_Angeles:20180626T110000
DTSTAMP:20260502T192934
CREATED:20180625T204629Z
LAST-MODIFIED:20180625T204917Z
UID:10841-1530007200-1530010800@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation:  Data Contextualization using DataFrame in Julia on June 26th and July 3rd 2018 (Part 3 and 4 Julia talk)
DESCRIPTION:Date: Tuesday\, June 26th and July 3rd 2018 \nTime: 10:00 AM \nLocation: 3909 Math Sciences Building\, UCLA \nIDRE will discuss and do a demo of Data Contextualization using DataFrame in Julia.  This will be talks 3 and 4 of Julia programming language demo series. For the demo we will use the computational resource usage data of our HPC Hoffman2 cluster itself because it produces both static data and streaming data. \nPlease attend if your time permits.  Thanks. \nNB: If you missed Julia talks 1 and 2 please drop by early on Tuesday\, we will bring you up to date on Julia.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-data-contextualization-using-dataframe-in-julia-on-june-26th-and-july-3rd-2018-part-3-and-4-julia-talk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180612T100000
DTEND;TZID=America/Los_Angeles:20180612T110000
DTSTAMP:20260502T192934
CREATED:20180529T230230Z
LAST-MODIFIED:20180601T162928Z
UID:10771-1528797600-1528801200@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation: Parallel Computing Using Julia\, API Discussion - Part 2
DESCRIPTION:IDRE will be presenting a discussion and demo of Julia programming language parallel computing capabilities on June 5th and 12th. In the first part we will discuss the Julia language itself and during the second part we will discuss the parallel computing part and look at some benchmarks. \nPart 1: Tuesday\, June 5th\, 2018 \nPart 2: Tuesday\, June 12th\, 2018 \n*No RSVP Necessary.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-parallel-computing-using-julia-api-discussion-part-2
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180605T100000
DTEND;TZID=America/Los_Angeles:20180605T110000
DTSTAMP:20260502T192934
CREATED:20180529T225409Z
LAST-MODIFIED:20180601T162924Z
UID:10769-1528192800-1528196400@idre.ucla.edu
SUMMARY:CESMII/UCLA Presentation: Parallel Computing Using Julia\, API Discussion - Part 1
DESCRIPTION:IDRE will be presenting a discussion and demo of Julia programming language parallel computing capabilities on June 5th and 12th. In the first part we will discuss the Julia language itself and during the second part we will discuss the parallel computing part and look at some benchmarks. \nPart 1: Tuesday\, June 5th\, 2018 \nPart 2: Tuesday\, June 12th\, 2018 \n*No RSVP Necessary.
URL:https://idre.ucla.edu/calendar-event/cesmii-ucla-presentation-parallel-computing-using-julia-api-discussion-on-june-5th-and-12th-2018
ORGANIZER;CN="Prakashan Korambath":MAILTO:ppk@idre.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180604T080000
DTEND;TZID=America/Los_Angeles:20180607T140000
DTSTAMP:20260502T192934
CREATED:20180516T190049Z
LAST-MODIFIED:20180531T164323Z
UID:10690-1528099200-1528380000@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: Summer Boot Camp 6/4-6/7
DESCRIPTION:UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce the following four day Summer Boot Camp on High Performance Computing: \nEvent: XSEDE HPC Workshop – Summer Boot Camp\nWhen: June 4-7\, 2018\, 8 AM-2 PM PDT each day\nWhere: 5628 Math Sciences Building\, UCLA\nFor details and registration: https://www.psc.edu/hpc-workshop-series/summer-bootcamp-2018 \nThis 4-day event will include MPI\, OpenMP\, OpenACC and accelerators. It will be presented using the Wide Area Classroom(WAC) training platform and will conclude with a special hybrid exercise contest that will challenge the students to apply their skills over the following 3 weeks and be awarded the Fifth Annual XSEDE Summer Boot Camp Championship Trophy. In addition\, an XSEDE Badge will be available to those who complete the Challenge. \n\n\n\n\nTentative agenda (Timing in PST):\n\n\n\n\n\nMonday June 4\n\n\n\n08:00\nWelcome\n\n\n08:15\nComputing Environment\n\n\n08:45\nIntro to Parallel Computing\n\n\n09:30\nIntro to OpenMP\n\n\n10:30\nLunch break\n\n\n11:30\nExercise 1     (zip folder of all exercises) \n\n\n12:15\nMore OpenMP\n\n\n1:30\nExercise 2\n\n\n2:00\nAdjourn\n\n\n\n\n\n\nTuesday June 5\n\n\n\n08:00\nIntro to OpenACC\n\n\n09:00\nExercise 1\n\n\n09:30\nIntroduction to OpenACC (cont.)\n\n\n10:00\nLunch break\n\n\n11:00\nExercise 2\n\n\n11:45\nIntroduction to OpenACC (cont.)\n\n\n12:00\nUsing OpenACC with CUDA Libraries\n\n\n12:30\nAdvanced OpenACC\n\n\n01:00\nOpenMP 4.0 Sneak Peek\n\n\n02:00\nAdjourn\n\n\n\n\n\n\nWednesday June 6\n\n\n\n08:00\nIntroduction to MPI\n\n\n10:00\nLunch break\n\n\n11:00\nIntro exercises\n\n\n12:10\nIntro exercises review\n\n\n12:15\nScalable Programming: Laplace code\n\n\n12:45\nLaplace Exercise\n\n\n2:00\nAdjourn\n\n\n\n\n\n\nThursday June 7\n\n\n\n08:00\nLaplace Exercise (Cont)\n\n\n09:30\nLaplace Solution\n\n\n10:00\nLunch break\n\n\n11:00\nAdvanced MPI\n\n\n12:00\nOutro to Parallel Computing\n\n\n01:00\nParallel Tools\n\n\n01:20\nHybrid Computing\n\n\n01:40\nHybrid Competition\n\n\n02:00\nAdjourn
URL:https://idre.ucla.edu/calendar-event/xsede-hpc-workshop-summer-boot-camp
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:20180531T150000
DTEND;TZID=America/Los_Angeles:20180531T160000
DTSTAMP:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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:20260502T192934
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
END:VCALENDAR