Running Applications on the 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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An Overview of SAS Studio and Tools for Using SAS More Efficiently

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...
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Introduction to Jupyter Notebooks

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...
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Using Jupyter for Education

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...
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Using Jupyter for Research and Collaboration

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...
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XSEDE HPC Workshop: Summer Boot Camp 6/4-6/7

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,...
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CESMII/UCLA Presentation: Parallel Computing Using Julia, API Discussion – Part 1

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

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...
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CESMII/UCLA Presentation: Parallel Computing Using Julia, API Discussion – Part 2

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

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...
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CESMII/UCLA Presentation: Data Contextualization using DataFrame in Julia on June 26th and July 3rd 2018 (Part 3 and 4 Julia talk)

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

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...
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CESMII/UCLA Presentation: Data Contextualization using DataFrame in Julia on June 26th and July 3rd 2018 (Part 3 and 4 Julia talk)

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

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...
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R Graphics: Introduction to ggplot2

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...
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Applied Survey Data Analysis in Stata 15

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.

Principal Components and Exploratory Factor Analysis with SPSS

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,...
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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)

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

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.

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)

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

  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.

Data contextualization with Python Pandas Dataframe

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

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.

Build, Train, and Deploy ML Models at Scale with Amazon SageMaker

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...
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Google Machine Learning Crash Course

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

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...
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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 (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,...
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Google Machine Learning Crash Course

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

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...
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University Stats Camp: Multilevel Structural Equation Modeling with xxM Seminar

OIT Conference Room 5308B 5308B Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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...
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University Stats Camp: Longitudinal Structural Equation Modeling (SEM) Seminar

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...
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Google Machine Learning Crash Course

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

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...
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Google Machine Learning Crash Course

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

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...
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Running Applications on the Hoffman2 Cluster: Introduction

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

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...
Read More

Free

Introduction to Stata

CLICC Classroom C 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 are the scripts for...
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Free

Google Machine Learning Crash Course

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

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...
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Introduction to GIS: Got Data? Map it!

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

RSVP FOR THE EVENT It is said that more than 80% of all data has a spatial component to it. As more and more research is leaning towards spatial analysis, this course offers an introduction to Geographic Information Systems, GIS, as a means to spatialize and analyze your data. As a hands-on course, you will...
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Running Applications on the Hoffman2 Cluster: Case Studies

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT 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...
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Free

Introduction to SAS

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

RSVP FOR EVENT 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 SAS class notes do not...
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Free

Informal Discussions on Machine Learning

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

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
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Introducing Python for Data Science and the Web

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

RSVP FOR THE EVENT This entry-level workshop will introduce Python as a tool for digital researchers and scholars wanting to incorporate data on the web. The following Python libraries will be covered: requests, lxml, pandas, and numpy. Find other UCLA Library, Advanced Research Workshop Series

SAS Macro Language 1: Essentials

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR THE EVENT 2-Day workshop, 9:00am - 5:00pm daily This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed. Learn how to perform text substitution in SAS code, automate and customize the production of...
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Informal Discussions on Machine Learning

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

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
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SAS SQL 1: Essentials

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR THE EVENT 2-Day Workshop, 9am - 5pm Daily This course teaches you how to process SAS data using Structured Query Language (SQL). Learn how to query and subset data, summarize and present data, combine tables, including complex joins and merges, create and modify table views and indexes, replace multiple DATA and PROC steps with one...
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Introduction to Science Gateway

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT "Science Gateway" refers to a web or mobile-based applications with user-friendly interfaces enabling access to advanced technology resources to support scientific research and/or education. This 2-hour session aims to provide fundamental information about Science Gateway technologies. Three covered topics include: What Science Gateways really refer to and what Science Gateways can provide...
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Free

Python for High Performance Computing

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT 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...
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Free

Introduction to Message Passing Interface (MPI)

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT 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...
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Free

Introduction to R

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

RSVP FOR EVENT R is statistical package that runs on Windows, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics, graphics, and data management. The class notes are the scripts for the...
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Free

Informal Discussions on Machine Learning

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

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Oct. 30th  (4 courses total). Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural...
Read More

Introduction to Jupyter

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT 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...
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Free

Version Control with Git

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

RSVP FOR EVENT Git is a software tool that helps users manage changes to their software over time. Git will allow you to maintain a complete change history of every file, create branches for concurrent streams of changes, trace changes with annotations, and collaborate and share work with others. This interactive introduction will demonstrate how...
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Free

Introduction to SPSS

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

RSVP FOR EVENT 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...
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Free

Informal Discussions on Machine Learning

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

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th . Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden...
Read More

XSEDE HPC Workshop: GPU Programming Using OpenACC

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on November 6, 2018, 8 AM-2 PM PDT. OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate...
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Informal Discussions on Machine Learning

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

This is a recurring weekly event from Tuesday, Oct. 9th – Tuesday, Dec. 18th. Please attend all weeks if your time permits. No RSVP is necessary. This will be a continuation of machine learning techniques that we have been presenting through September. During the October presentations, we will go through logistic regression, binary classification, multi-class classification, neural networks, hidden...
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GIS Day: Battle of the Maps

Young Research Library 280 Charles E Young Drive North, Los Angeles, CA, United States

Sign up now DESCRIPTION Do you want to do more to immediately help people affected by our recent natural disaster? Have you ever wanted to know more about GIS? Do you want to triumph over Trojans? If you answered yes to any of these, sign up for our humanitarian map-a-thon event! We will train you...
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XSEDE HPC Workshop: BIG DATA

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop (Dec 4-5, 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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Microsoft Excel Visual Basic for Application Programming

IDRE Visualization Portal, Math Sciences Building 5628 520 Portola Plaza, Los Angeles, CA, United States

Learn how to program Microsoft Excel with Visual Basic for Application to process data , plot charts and interactive session for automatic data collection and processing. The Excel data will be coming from a time series historian. Visual Basic code will automatically process the data. It may be useful for you if you usually use...
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Software Carpentry: Python for Researchers

IDRE Portal 5628 Math Sciences Building, 520 Portola Plaza, Los Angeles, CA, United States

REGISTER HERE Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply...
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