3D Animatin’: Focus on Adobe After Effects

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.  

RSVP Now Free 40 spots left

SAS Programming II

CLICC Classroom C 320 Powell Library, 10740 Dickson Court, Los Angeles, CA, United States

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,...
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Scaling to Petascale Institute

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...
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XSEDE HPC Workshop: BIG DATA

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,...
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Introduction to Stata

CLICC Classroom B 320 Powell Library, 10740 Dickson Court, Los Angeles, CA, United States

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/ .

RSVP Now Free 60 spots left

Introduction to SAS

CLICC Classroom B 320 Powell Library, 10740 Dickson Court, Los Angeles, CA, United States

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/ .

RSVP Now Free 60 spots left

Running Applications on Hoffman2 Cluster: An Introduction

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...
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RSVP Now Free 1,000 spots left

Running Applications on Hoffman2 Cluster: Case Studies

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...
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Free

Introduction to SPSS

CLICC Classroom B 320 Powell Library, 10740 Dickson Court, Los Angeles, CA, United States

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/ .

Introduction to MPI (Message Passing Interface)

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...
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Python for Scientific Computing

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...
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Current and future requirements for Advanced Research Cyberinfrastructure – Panel Discussion

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...
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Computing Environment on Linux – I

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...
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Computing Environment on Linux – II

  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.

National Leadership Class Computing Resources and Opportunities for UCLA Researchers

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...
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Introduction to R

R 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 R. The students in the class will have a hands-on experience using R for statistics, graphics and data management. The class notes can be found at...
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SPC Workshop: Introduction to Scientific Computing with Python

November SPC event at UCLA is tentatively scheduled for Thursday, 11/30 10 am - 12 pm PDT (11 am - 1 pm MDT). It will be a technical workshop on introduction to scientific computing in Python. This is in collaboration with the Institute for Digital Research and Education (IDRE) here at UCLA. Some topics to...
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XSEDE HPC Workshop: BIG DATA

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (December 5-6, 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,...
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UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 1

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

IDRE will be presenting a container orchestration Demo for Docker containers.  First part of the presentation will be Docker installation, container creation, moving container from one host to another.   Second part will utilize Kubernetes to do orchestration.

UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 2

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

IDRE will be presenting a container orchestration Demo for Docker containers.  First part of the presentation will be Docker installation, container creation, moving container from one host to another.   Second part will utilize Kubernetes to do orchestration.

UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 3

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

IDRE will be presenting a container orchestration Demo for Docker containers.  The first part of the presentation will be Docker installation, container creation, moving the container from one host to another.   We will demo deploying containers for load balancing and high availability by deploying them on multiple nodes.

XSEDE HPC Workshop: BIG DATA

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (February 7-8, 2018, 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,...
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Introduction to Mplus 8.1

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...
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UCLA/CESMII Project Presentation: Container Orchestration (Kubernetes, Docker Swarm) and Workflows – Part 4

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

IDRE will be presenting a container orchestration Demo for Docker containers.  The first part of the presentation will be Docker installation, container creation, moving the container from one host to another.   We will demo deploying containers for load balancing and high availability by deploying them on multiple nodes. In part 4 of the presentation series,...
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Using the MIXED command in SPSS

This seminar will illustrate the different kinds of models that can be run with the SPSS command MIXED.  Basic syntax and useful options will be discussed, as well as possible solutions to common problems encountered in multilevel modeling.  Examples of both two- and three-level models will be provided. NOTE: All researchers are welcome to attend.

Data Management in R

This seminar introduces R packages and functions that help users import, transform and manage their data in preparation for analysis.   The seminar focuses on the “tidy data” philosophy encouraged by the “tidyverse” collection of R packages, but draws on other packages for useful functions as needed.  Topics include data import, transforming variables, string functions, missing...
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Charliecloud container deployment

OIT Conference Room 3909 3909 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

We will have a presentation on the unprivileged user namespace on Linux Kernel and Charliecloud container deployment.  We will have Charliecloud container running on both Ubuntu and CentOS 7. We are interested in user namespace as a way to get around security issues in deploying Docker container.  Our investigation is preliminary in nature.  You are...
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Streaming data workflow to mimic sensors and control

We will do a demo of streaming data workflow using Kepler software.  In this demo, workflow will listen to data coming into a specific port on a laptop and process the data in a naive and simple way and send the output back to control.

Practical Python: Advanced Python Usage for Scripting and Data Visualization

West Electronic Classroom 23167 Young Research Library, 280 Charles E Young Drive North, Los Angeles, CA, United States

Advanced Research Workshop Taught by Albert Kochaphum (Institute for Digital Research and Education). Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

Spatial Statistics in ArcGIS

Advanced Research Workshop - Using the spatial Statistics Toolbox in ArcGIS and presenting maps ArcGIS Online. Taught by Albert Kochaphum and Yoh Kawano (Institute for Digital Research and Education). Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

Data Management in R

Advanced Research Workshop Andy Lin (Institute for Digital Research and Education) teaches a more advanced R session. Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

ATLAS.ti

Advanced Research Workshop This workshop will provide an overview of the ATLAS.ti software, a tool that allows researchers to encode and use qualitative analysis methods on their “soft” data, e.g. text (interview transcripts), video, audio, images (maps), surveys, and more! We’ll provide hands-on practice using various types of data samples utilizing powerful tools within the...
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Introduction to Statistical Software

Research Commons (RC) Classroom 11630F Young Research Library, 280 Charles E Young Drive North, Los Angeles, CA, United States

Advanced Research Workshop This hands-on workshop will introduce some commonly used statistical software packages, including R, SAS, SPSS and Stata. Taught by Christine Wells (Institute for Digital Research and Education). Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

XSEDE HPC Workshop: BIG DATA

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (May 1-2, 2018, 8 AM-2 PM PDT each day). 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,...
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Introduction to Spatial Data

Advanced Research Workshop How to get started with spatial data and statistics. Taught by Albert Kochaphum and Christine Wells (Institute for Digital Research and Education). Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

Zotero

Advanced Research Workshop Zoe Borovsky (Library) and Bethany Myers (Library) cover the basics and some fancy, advanced features of this popular, free, web-based application. Event is free. Available to only UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

High-performance programming: back to the hardware

In collaboration with UCLA-ECE, IDRE  invites you to the workshop "High-Performance programming: back to hardware" with the following details: Outline: Architecture of modern CPUs - brief overview How to efficiently use CPU computing resources Memory and cache architecture How to use the memory system efficiently Using multiple CPUs efficiently through concurrency Memory model, locking, memory...
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Logistic Regression in SAS

This workshop will cover modeling binary outcome with logistic regression in SAS. We will discuss the logistic regression model, model building and fitting, interpretation of estimated parameters, assessment of model fit, graphing of model effects, and ROC analysis. This workshop does NOT cover ordinal or multinomial logistic regression.

Software Central – SurveyMonkey Training: Session #1

If you have ever wondered what SurveyMonkey is or if you are already an in-the-know SurveyMonkey licensee, we invite you to a live training session. Software Central is hosting two SurveyMonkey Training sessions on Wednesday, May 9th, in the IDRE Portal – 5628 Math Sciences Building. Session #1 will be at 10:30am to 11:30am Session...
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Research Data Management

Advanced Research Workshop The focus of this talk is on understanding and applying initial steps to facilitate data management and data reuse. Topics covered will include data management plans, the data life cycle, file management, and metadata. Attendees will get a chance to practice using these approaches. Taught by Bethany Myers (Library). Event is free....
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Software Central – SurveyMonkey Training: Session #2

If you have ever wondered what SurveyMonkey is or if you are already an in-the-know SurveyMonkey licensee, we invite you to a live training session. Software Central is hosting two SurveyMonkey Training sessions on Wednesday, May 9th, in the IDRE Portal – 5628 Math Sciences Building. Session #1 will be at 10:30am to 11:30am Session...
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Spatial Statistics in STATA

Advanced Research Workshop Demonstrate how to use spmaps and maps module in STATA. Taught by Christine Wells and Albert Kochaphum (Institute for Digital Research and Education). Event is free. Available only to UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

Introduction to Power Analysis

This workshop will describe what statistical power is and describe steps that can be taken to increase power. The information needed to conduct power analyses for commonly-used statistical tests will also be discussed.

HPC and Big Data Analytics using Comet

In collaboration with SDSC,  IDRE is happy to announce the workshop “HPC and Big Data Analytics using Comet” as per the following details: Venue: 5628 Math Sciences Bldg. RSVP: link to the registration form (*lunch will be provided) Requirements: Participants need to bring their own laptops for hands-on exercises. Agenda: 9:00 AM - 9:10 AM: Welcome...
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Databases and Excel

Advanced Research Workshop This 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...
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A Practical Introduction to Factor Analysis

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...
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Python for High Performance Computing

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...
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Data Visualization with ReactJS

Advanced Research Workshop Using ReactJS to display and share data on the Web. Taught by Hayk Zakaryan (Institute for Digital Research and Education). Event is free. Available only to UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

Tableau Public

Advanced Research Workshop Overview of visualization software. Taught by Zoe Borovsky (Library) and Suvra Mostafa (Digital Research Project Assistant, Master of Social Sciences candidate). Event is free. Available only to UCLA students, faculty, staff, and visiting scholars. See website link below to RSVP. See other research training courses here.

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