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November 2018

Informal Discussions on Machine Learning

November 6, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc. Learning and discussion materials used in this discussion series.…

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XSEDE HPC Workshop: GPU Programming Using OpenACC

November 6, 2018 @ 8:00 am - 2:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

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 real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the…

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October 2018

Informal Discussions on Machine Learning

October 30, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

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 Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc. If you have any questions or comments regarding this…

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Introduction to SPSS

October 30, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

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 scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an…

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Version Control with Git

October 26, 2018 @ 10:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 to use Git to track changes, to explore history, and to use web-based Git repositories to share work with others and collaborate.

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Introduction to Jupyter

October 25, 2018 @ 10:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide…

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Informal Discussions on Machine Learning

October 23, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

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 networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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Introduction to R

October 23, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

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 class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or…

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Introduction to Message Passing Interface (MPI)

October 22, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 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…

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Python for High Performance Computing

October 19, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 scientific computing, and introduce a number of supporting packages, including numpy for fast array-based computations, h5py to access HDF5 files, and the use of Python…

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Introduction to Science Gateway

October 19, 2018 @ 10:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 to researchers and educators. The efforts from UCLA IDRE for implementing a Science Gateway. The visions and planning of UCLA Science Gateway provided from IDRE.…

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SAS SQL 1: Essentials

October 17, 2018 - October 18, 2018
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 SQL query. This course can help prepare you for the following certification exam(s): SAS Advanced Programming for SAS 9. Before attending this class, you should be able…

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Informal Discussions on Machine Learning

October 16, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

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 networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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SAS Macro Language 1: Essentials

October 15, 2018 - October 16, 2018
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 SAS code, conditionally or iteratively construct SAS code and use macro variables and macro functions. This course can help prepare you for the following certification…

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Introducing Python for Data Science and the Web

October 10, 2018 @ 1:00 pm - 3:00 pm
West Electronic Classroom, 23167 Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 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

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Informal Discussions on Machine Learning

October 9, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map

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 networks, hidden Layers, forward propagation, backward propagation, L1 and L2 regularization, sigmoid functions, confusion matrix,  one-hot-encoding, softmax etc.

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Introduction to SAS

October 9, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

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 contain any of the computer output. The class notes are not meant to be a SAS textbook or a reference manual. The notes for the…

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Running Applications on the Hoffman2 Cluster: Case Studies

October 8, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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 way to run python and R on Hoffman2.

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Introduction to GIS: Got Data? Map it!

October 3, 2018 @ 1:00 pm - 3:00 pm
West Electronic Classroom, 23167 Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 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 learn how to download data, manipulate and join data to existing geographic boundaries, and create stunning cartographic representations. There are no pre-requisite requirements to take…

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Google Machine Learning Crash Course

October 2, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Introduction to Stata

October 2, 2018 @ 9:00 am - 12:00 pm
CLICC Classroom C, 320 Powell Library, 10740 Dickson Court
Los Angeles, CA 90095 United States
+ Google Map
Free

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 the class available to the students in the class and to others on the Internet. The Stata class notes do not contain any of the…

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Running Applications on the Hoffman2 Cluster: Introduction

October 1, 2018 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

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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September 2018

Google Machine Learning Crash Course

September 25, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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Google Machine Learning Crash Course

September 18, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm

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 growth curve modeling Testing for Mediation and Moderation Multilevel and multiple group SEM Using Phantom Constructs Multiple group modeling   Instructor, Todd Little, Ph.D. &…

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University Stats Camp: Multilevel Structural Equation Modeling with xxM Seminar

September 17, 2018 @ 9:00 am - September 19, 2018 @ 5:00 pm
OIT Conference Room 5308B, 5308B Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 non-standard data-structures. Non-standard data are indeed very common across multiple domains but rarely analyzed in a satisfactory manner.   Instructor, Paras Mehta, Ph.D. 9:00am -…

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Google Machine Learning Crash Course

September 11, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 knowledge to Machine learning. To guide us through the process we will use the course notes and exercises provided at the Google Machine Learning Crash…

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XSEDE HPC Workshop: BIG DATA

September 5, 2018 @ 8:00 am - September 6, 2018 @ 2:00 pm

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, visit: https://www.psc.edu/current-workshop Agenda: Wednesday, September 5, 2018 All times given are Pacific 08:00 Welcome 08:25 Intro to Big Data 09:00 Hadoop 09:30 Intro to Spark…

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Google Machine Learning Crash Course

September 4, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 will use the course notes and exercises provided at the Google Machine Learning Crash Course site. Please attend all weeks if your time permits. No…

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August 2018

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

August 22, 2018 @ 10:00 am - 1:00 pm

In this tutorial participants learn to solve Machine / Deep Learning problems using the tools available in the Amazon Web Services (AWS) cloud. The development and application of machine learning models is a vital part of scientific and technical computing. Increasing model training data size generally improves model prediction and performance, but deploying models at scale is a challenge. Participants will learn to use Amazon SageMaker, a new AWS service that simplifies the machine learning process and enables training on…

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Data contextualization with Python Pandas Dataframe

August 14, 2018 @ 10:00 am - 11:00 pm
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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.

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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)

August 7, 2018 @ 10:00 am - 12:00 pm
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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.

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July 2018

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)

July 31, 2018 @ 10:00 am - 12:00 pm
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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.

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Principal Components and Exploratory Factor Analysis with SPSS

July 26, 2018 @ 9:00 am - 12:00 pm

This seminar will give a practical overview of both principal components analysis (PCA) and exploratory factor analysis (EFA) using SPSS. We will begin with variance partitioning and explain how it determines the use of a PCA or EFA model. For the PCA portion of the seminar, we will introduce topics such as eigenvalues and eigenvectors, communalities, sum of squared loadings, total variance explained, and choosing the number of components to extract. For the EFA portion, we will discuss factor extraction,…

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Applied Survey Data Analysis in Stata 15

July 19, 2018 @ 9:00 am - 12:00 pm

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.

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R Graphics: Introduction to ggplot2

July 12, 2018 @ 9:00 am - 12:00 pm

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 the workshop. RSVP by visiting the following link: RSVP form.

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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)

July 3, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 of our HPC Hoffman2 cluster itself because it produces both static data and streaming data. Please attend if your time permits.  Thanks. NB: If you…

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June 2018

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

June 26, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 of our HPC Hoffman2 cluster itself because it produces both static data and streaming data. Please attend if your time permits.  Thanks. NB: If you…

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

June 12, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 2: Tuesday, June 12th, 2018 *No RSVP Necessary.

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

June 5, 2018 @ 10:00 am - 11:00 am
OIT Conference Room 3909, 3909 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 2: Tuesday, June 12th, 2018 *No RSVP Necessary.

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

June 4, 2018 @ 8:00 am - June 7, 2018 @ 2:00 pm

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, OpenACC and accelerators. It will be presented using the Wide Area Classroom(WAC) training platform and will conclude with a special hybrid exercise contest that will…

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May 2018

Using Jupyter for Research and Collaboration

May 31, 2018 @ 3:00 pm - 4:00 pm
Free

The Jupyter notebook can be a programming and data analysis tool, but it can also be a method to document and save an analysis workflow, to share analysis routines and workflow with peers, and to publicize the data analysis contained in articles.  Notebooks store and encapsulate computational thinking and processes in a manner that allows them to be retrieved, re-used, and distributed to others. This class will demonstrate how to take advantage of Jupyter for research and collaboration, including methods…

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Using Jupyter for Education

May 31, 2018 @ 2:00 pm - 3:00 pm
Free

Jupyter tools are increasingly being used for educational purposes.  With Jupyter notebooks, teachers can share documents that are interactive and combine narrative text, code, multimedia, equations, and data analysis and visualization.  With nbgrader, they can create gradable notebooks and automate the distribution/grading process, and with JupyterHub, they can provide a Jupyter environment to students that doesn’t place any demands on the students’ computational sophistication or resource availability.  This class will take an interactive tour through several educational Jupyter notebooks from…

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Introduction to Jupyter Notebooks

May 31, 2018 @ 1:00 pm - 2:00 pm
Free

The Jupyter Notebook is a computing tool that allows users to edit and run Python, R, Julia (and many other programming languages) inside a web browser.  Furthermore, it is a powerful tool that allows users to combine live code, text, and visualizations in an interactive, shareable, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science.  This class will provide an interactive demonstration…

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An Overview of SAS Studio and Tools for Using SAS More Efficiently

May 31, 2018 @ 10:00 am - 11:00 am
Free

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 with SAS University Edition is SAS® Studio, a browser-based application that runs on all three major operating systems.  In addition to furnishing a code editor,…

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Running Applications on the Hoffman2 Cluster: An Introduction

May 30, 2018 @ 2:00 pm - 4:00 pm
Free

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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Tableau Public

May 30, 2018 @ 11:30 am - 1:30 pm
Research Library 11630F – RC Classroom

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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Data Visualization with ReactJS

May 23, 2018 @ 11:30 am - 1:30 pm
Research Library 11630F – RC Classroom

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.

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Python for High Performance Computing

May 21, 2018 @ 2:00 pm - 4:00 pm
Free

Python, originally developed as a general-purpose programming language, has gained its popularity in the scientific community in recent years owing to its elegant and easy-to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will discuss a number useful features of Python in the context of scientific computing, and introduce a number of supporting packages, including numpy for fast array-based computations, h5py to access HDF5 files, and the use of Python in MPI-style parallel…

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A Practical Introduction to Factor Analysis

May 21, 2018 @ 9:00 am - 12:00 pm
Free

This workshop will give a practical overview of exploratory (EFA) and confirmatory (CFA) factor analysis. EFA topics to be covered include factor extraction, principal components analysis, estimation methods, factor rotation, refining the factor structure, and generating factor scores for subsequent analyses. The latter portion of the seminar will introduce CFA topics such as identification and model fit, and present examples of a one, two and second order factor structure. SPSS will be used for the EFA portion of the seminar…

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