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November 2017

National Leadership Class Computing Resources and Opportunities for UCLA Researchers

November 1, 2017 @ 2:00 pm - 3:00 pm
5628 Math Science Building, UCLA + Google Map
Free

The Department of Energy, National Science Foundation, and the National Aeronautical Space Agency support an ecosystem of “leadership class” computing facilities housing some of the world’s most advanced supercomputers and high-end visualization and data analysis resources. These facilities provide “free” computing cycles at scale and storage to researchers from academia. Access to these resources is obtained through an application process that is based on the merit of the research objectives, and demonstration of the efficacy and parallel scalability of the…

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October 2017

Computing Environment on Linux – II

October 31, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building, UCLA + Google Map
Free

  The second session is regarding the use of Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools such as makefile, debugger, and profiler which are available under most Linux environments.

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Computing Environment on Linux – I

October 26, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building, UCLA + Google Map
Free

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to the Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The user should be able to log in to a Linux system and use it to do the normal tasks after going through this session.

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Current and future requirements for Advanced Research Cyberinfrastructure – Panel Discussion

October 25, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

The Institute for Digital Research and Education is pleased to announce a panel discussion on current and future requirements for Advanced Research Cyberinfrastructure (ARC). The discussion will be led by the following early career researchers from various disciplines across the UCLA campus. Bao Wang – Mathematics Alan Farahani – Cotsen Institute of Archaeology Karthik Sarma - Medical Imaging Informatics Richard Sportsman – Chemistry and Biochemistry Iris Chang – Material Science and Engineering Francesca Albrezzi – World Arts and Cultures Date:…

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Python for Scientific Computing

October 23, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building
Free

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…

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Introduction to MPI (Message Passing Interface)

October 16, 2017 @ 2:00 pm - 4:00 pm
5628 Math Science Building
Free

MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to…

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Introduction to SPSS

October 16, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library
Free

SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The class notes can be found at https://stats.idre.ucla.edu/spss/seminars/notes/ .

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Running Applications on Hoffman2 Cluster: Case Studies

October 12, 2017 @ 10:00 am - 12:00 pm
5628 Math Science Building
Free

This class will address the process of creating Matlab standalone executables and running Matlab in batch, as well as running Abaqus python scripts. Example of how to submit array jobs using Abaqus, R and other applications. Can my simulations be submitted as array jobs? Bring your own problem. Also, Jupyter Notebooks: another way to run python and R on Hoffman2.  

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Running Applications on Hoffman2 Cluster: An Introduction

October 10, 2017 @ 10:00 am - 12:00 pm
Free 992 spots left

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.

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Introduction to SAS

October 9, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library
Free Sold out

SAS is a powerful statistical package that runs on many platforms, including Windows and Unix. This class is designed for people who are just getting started using SAS. The students in the class will have a hands-on experience using SAS for statistics, graphics, and data management. The class notes can be found at https://stats.idre.ucla.edu/sas/seminars/notes/ .

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Introduction to Stata

October 2, 2017 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library
Free Sold out

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/ .

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September 2017

XSEDE HPC Workshop: BIG DATA

September 12, 2017 @ 8:00 am - September 13, 2017 @ 2:00 pm

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). This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. For registration and detailed information, visit: https://www.psc.edu/hpc-workshop-series/big-data-september-2017 Agenda: Tuesday, September 12 All times given are Pacific 08:00 Welcome 08:25 Intro to Big Data 09:00 Intro to Spark 10:00 Lunch break…

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June 2017

Scaling to Petascale Institute

June 26, 2017 @ 8:00 am - June 30, 2017 @ 3:00 pm
IDRE Portal (5628 Math Science Building), UCLA + Google Map

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. Registrations are now open at https://bluewaters.ncsa.illinois.edu/petascale-summer-institute/registration Scaling to Petascale Institute: Do you have a computational problem that would benefit from using a large scale computing system? Do you need to scale your simulation or data analysis to a Petascale system? This institute is for people developing, modifying and supporting research projects who…

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SAS Programming II

June 20, 2017 @ 9:00 am - June 22, 2017 @ 5:00 pm
CLICC Classroom C, 320 Powell Library

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…

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May 2017

3D Animatin’: Focus on Adobe After Effects

May 25, 2017 @ 2:00 pm - 5:00 pm
5628 Math Sciences
Free 19 spots left

Instructor: Bruce McCrimmon This 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.  

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Story Mappin’

May 19, 2017 @ 2:00 pm - 5:00 pm
5628 Math Sciences
Free 10 spots left

Instructors: Yoh Kawano, Andy Rutkowski, and Albert Kochaphum The 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.  

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A Focus on Mapping with ArcGIS

May 16, 2017 @ 5:00 pm - 7:00 pm
East Electronic Classroom, 280 Charles E Young Dr N
Los Angeles, CA 90095 United States
Free 6 spots left

Instructors: Yoh Kawano, Albert Kochaphum, Andy Rutkowski. This 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.  

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Web Scrapin’: Focus on Python

May 12, 2017 @ 2:00 pm - 5:00 pm
5628 Math Science Building
Free Sold out

Instructors: Albert Kochaphum and Pete Broadwell Starting 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.  

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Using Hoffman2 Cluster

May 11, 2017 @ 1:00 pm - 3:00 pm
5628 Math Science Building, UCLA + Google Map
Free

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: 1. How to access and login to the Hoffman2 Cluster, primarily in terminal/command-line mode. 2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster, illustrated by hands-on example transcripts. 3. A…

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Resurrecting Historical Monuments: 3D Models, Metadata, and the Case of the Lady Chapel at Saint-Germain-des-Prés

May 10, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

    Speaker: Kristine Tanton, Ph.D., IDRE Scholar, Department of Art History, University of California, Los Angeles   Time: 11:45 A.M. – 1 P.M. (Lunch will be served*) Date: May 10, 2017 Location: 5628, Math Sciences Building RSVP: https://idre.ucla.edu/calendar-event/resurrecting-historical-monuments#rsvp   Abstract: 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.…

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A Focus on Mapping Data Sources

May 9, 2017 @ 5:00 pm - 7:00 pm
East Electronic Classroom, 280 Charles E Young Dr N
Los Angeles, CA 90095 United States
Free 12 spots left

Instructors: Yoh Kawano, Andy Rutkowski, and Albert Kochaphum. Having 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.  

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Stata Data Management

May 8, 2017 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 8 spots left

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.

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Filmmakin’: Equipment, Shooting and Editing

May 5, 2017 @ 2:00 pm - 5:00 pm
West Electronic Classroom on the Second Floor, Room 23167, Charles E. Young Research Library, UCLA, 280 Charles E Young Dr N
Los Angeles, CA 90095 United States
+ Google Map
Free 9 spots left

Instructors: Yoh Kawano and Albert Kochaphum This 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,…

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SAS Programming I

May 2, 2017 @ 9:00 am - May 4, 2017 @ 5:00 pm
5628 Math Science Building

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. Please RSVP here: http://www.surveygizmo.com/s3/3450976/Onsite-Workshops-UCLA-May Note: This event is open ONLY to those currently affiliated with the University of California.

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Analyzing and Visualizing Interactions in SAS

May 1, 2017 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 18 spots left

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…

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April 2017

Introduction to Mplus

April 24, 2017 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 32 spots left

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…

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Accelerating Next-Generation DNA Sequencing

April 12, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

  Speaker: Dr. Zhenman Fang, Ph.D., IDRE Scholar, Computer Science Department, University of California, Los Angeles Time: 11:45 A.M. - 1 P.M. (Lunch will be serverd*) Date: Apr 12, 2017 Location: 5628, Math Sciences Building RSVP: https://idre.ucla.edu/calendar-event/accel-next-gen-dna-seqn#rsvp   Abstract: 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…

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Survey Data Analysis in SAS

April 10, 2017 @ 9:00 am - 12:00 pm
5628 Math Sciences
Free 11 spots left

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.

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HPC and Big Data Analytics using Comet

April 4, 2017 @ 9:00 am - 4:30 pm
5628 Math Science Building, UCLA + Google Map
Free

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. Comet, 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…

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March 2017

Polycrystalline crystal plasticity with grain boundary evolution

March 8, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

        Speaker: Nikhil Chandra Admal, Ph.D., IDRE Scholar, Department of Materials Science and Engineering, University of California, Los Angeles   Time:  11:45 a.m. to 1 p.m. (Lunch will be served*) Date: March 8, 2017 Location:  5628, Math Sciences Building RSVP:  https://idre.ucla.edu/calendar-event/polycrystalline-…undary-evolution#rsvp Abstract: 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…

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Graphics in R: Introduction to ggplot2

March 7, 2017 @ 9:00 am - 12:00 pm
5628 Math Science Building
Free 8 spots left

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.

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February 2017

Introduction to R

February 28, 2017 @ 9:00 am - 12:00 pm
5628 Math Science Building
Free Sold out

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…

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Python for High Performance Computing II

February 17, 2017 @ 10:00 am - 12:00 pm
5628 Math Science Building
Free 8 spots left

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…

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Data as Infrastructure: CDS, Astronomy and beyond

February 15, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

      Speaker: Dr. Françoise Genova, Astronomer, Centre de Données astronomiques de Strasbourg Time:  12 p.m. to 1 p.m. (Lunch will be served*) Date: Feb 15, 2017 Location:  5628, Math Sciences Building Registration: https://idre.ucla.edu/calendar-event/data-as-infrastructure#rsvp ‎   Abstract: 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…

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Introduction to Regression with SPSS

February 14, 2017 @ 9:00 am - 12:00 pm
5628 Math Science Building
Free 32 spots left

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…

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Python for High Performance Computing I

February 10, 2017 @ 10:00 am - 12:00 pm
5628 Math Science Building
Free 1 spot left

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…

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Using Hoffman2 cluster

February 9, 2017 @ 10:00 am - 12:00 pm
5628 Math Science Building
Free 28 spots left

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: 1. How to access and login to the Hoffman2 Cluster, primarily in terminal/command-line mode. 2. Exploration of how to run various computational tasks on or from the Hoffman2 Cluster, illustrated by hands-on example transcripts. 3. A…

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Big Data and Information Policies for Behavior Change

February 8, 2017 @ 11:45 am - 1:00 pm
5628 Math Science Building, UCLA + Google Map
Free

    Speaker: Omar I. Asensio, Ph.D., IDRE Scholar Institute of the Environment & Sustainability, Anderson School of Management Ziman Center, UCLA Time:  12 p.m. to 1 p.m. (Lunch will be served*) Date: Feb 8, 2017 Location:  5628, Math Sciences Building Registration:   https://idre.ucla.edu/calendar-event/big-data-and-information-policies#rsvp‎   Abstract: Mobile 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…

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Applied Survey Data Analysis with Stata

February 7, 2017 @ 9:00 am - 12:00 pm
5628 Math Science Building
Free 14 spots left

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.

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January 2017

Multiple Imputation in SAS 9.4

January 31, 2017 @ 9:00 am - 12:00 pm
5628 Math Science Building
Free 25 spots left

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.

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Hoffman2 Users Group Meeting – Sold Out

January 25, 2017 @ 11:30 am - 1:00 pm
IDRE Portal (5628 Math Science Building), UCLA
Free Sold out

If you currently use Hoffman2 or are interested in doing so, this is a great opportunity to get information on UCLA’s shared high-performance computing environment and provide feedback to the IDRE Research Technology Group on the future direction of the service. The meeting will include a quick overview of the Hoffman2 cluster, HPC storage, and our Cloud Archival Storage Service (CASS). There will also be technical presentations on the scheduling system, using tiered storage, as well as other topics suggested…

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November 2016

Introduction to Structural Equation Modeling Using Stata

November 16, 2016 @ 10:00 am - 12:00 pm
5628 Math Science Building
Free 7 spots left

This talk will introduce the concepts and jargon of structural equation modeling (SEM).  We will demonstrate how to fit SEMs for continuous outcomes using the -sem- command in Stata.  We will also demonstrate how use Stata's -gsem- command to fit multilevel structural equation models that include continuous, binary, multinomial, ordinal and count outcomes using a wide variety of link functions.

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The Hacker Web Project: Exploring the Dark Side of the Web

November 9, 2016 @ 11:45 am - 1:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States
+ Google Map
Free

      Speaker: Hsinchun Chen, Ph.D.; Arizona Regents’ Professor, Thomas R. Brown Chair Professor in Management and Technology, University of Arizona; Director, Artificial Intelligence Lab; Fellow, ACM, IEEE, AAAS Time:  12 p.m. to 1 p.m. (Lunch will be served*) Location:  Kerckhoff Hall - Charles E. Young Grand Salon Registration: https://idre.ucla.edu/calendar-event/hacker-web-project#rsvp Abstract: In this talk I will review our highly-acclaimed NSF-funded Hacker Web research, which develops advanced data, text and web mining techniques to explore the international underground hacker community. Selected…

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Introduction to R

November 8, 2016 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library
Free 29 spots left

Introduction to R, November 8:  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,…

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October 2016

Introduction to R

October 24, 2016 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library
Free Sold out

Introduction to R, October 24:  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,…

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Computing Environment on Linux – II

October 20, 2016 @ 2:00 pm - 4:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States
+ Google Map
Free

The second session of the Computing Environment on Linux is about the use of the Linux system for computation. It will describe the compilation and execution procedures for a given source program. A sample software code will be used to demonstrate the computing tools, such as makefile, debugger, and profiler, available on most flavors of the Linux environment.

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A Tour and Discussion of Free SAS Resources for Teaching

October 20, 2016 @ 10:00 am - 11:00 am
5628 Math Science Building, UCLA
Free 45 spots left

A SAS representative would like to introduce professors (and UCLA researchers in general) about free SAS resources that can be used for teaching.  The event will involve a short presentation by the SAS representative, but will mostly be a Q&A session.

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Computing Environment on Linux – I

October 18, 2016 @ 2:00 pm - 4:00 pm
Kerckhoff – Charles E. Young Grand Salon, 308 Westwood Plaza
Los Angeles, 90095 United States
+ Google Map
Free

Part-I session of Computing Environment on Linux class is aimed to help researchers who are new to Linux system. This two hour session will introduce basic Unix/Linux commands, shells, as well as a few editors available on most of the flavors of Linux operating system. The  user should be able to log in to a Linux system and use it to do normal tasks after going through this session.

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Introduction to SPSS

October 17, 2016 @ 9:00 am - 12:00 pm
CLICC Classroom B, 3rd Floor Powell Library
Free

Introduction to SPSS, October 17:  SPSS is a very easy-to-use statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics, graphics, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to…

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Introduction to MPI (Message Passing Interface)

October 13, 2016 @ 2:00 pm - 4:00 pm
5628 Math Sciences
Free

MPI (message passing interface) is the de facto standard for distributed-memory parallel scientific computing. While the entire MPI API is quite extensive, this class will cover a number of key ingredients commonly used in practice. This class is useful for those who plan to start writing MPI code, and for those who would like to know how MPI works in order to operate an existing MPI code. Working knowledge of C and Fortran programming languages will be very helpful to…

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