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...
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...
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.
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.
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.
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.
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...
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.
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,...
IDRE will be doing a demo of automated Linux instance deployment on Microsoft Azure Cloud Platform using Kepler workflow software. An instance will be created on demand and terminated upon completion of remote execution.
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.
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.
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...
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.
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...
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....
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...
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.
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.
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...
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...
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...
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...
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.
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.
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...
Title: An Overview of SAS Studio and Tools for Using SAS More Efficiently Time: 10AM-11AM Location: Math Sciences 5628 IDRE Portal Abstract: SAS® 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...
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...
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...
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...
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce the following four day Summer Boot Camp on High Performance Computing: Event: XSEDE HPC Workshop - Summer Boot Camp When: June 4-7, 2018, 8 AM-2 PM PDT each day Where: 5628 Math Sciences Building, UCLA For details and registration: https://www.psc.edu/hpc-workshop-series/summer-bootcamp-2018 This 4-day event will include MPI, OpenMP,...
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. Part 1: Tuesday, June 5th, 2018 Part...
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. Part 1: Tuesday, June 5th, 2018 Part...
Date: Tuesday, June 26th and July 3rd 2018 Time: 10:00 AM Location: 3909 Math Sciences Building, UCLA IDRE 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...
Date: Tuesday, June 26th and July 3rd 2018 Time: 10:00 AM Location: 3909 Math Sciences Building, UCLA IDRE 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...
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. All researchers are welcome to...
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. All researchers are welcome to the workshop. RSVP by visiting the following link: RSVP form.
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,...
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.
We 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.
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. Please attend if your time permits. Thanks.
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...
This is a weekly event, starting September 4th, Tuesday and ending October 2nd, Tuesday. For 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...
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). 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,...
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. For 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...
A comprehensive 3-day Stats Camp seminar on Multilevel SEM with xxM. This seminar teaches skills necessary to conduct analysis of complex multilevel data-structures from an nLevel Structural Equation Modeling perspective. Conventional 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...
A comprehensive 3-day Stats Camp seminar on Longitudinal SEM. This 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. Topics include: Design and measurement issues in cross-sectional and longitudinal research Traditional panel designs Overview of missing data Latent...
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. For 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...
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. For 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...
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...