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February 2019

Jupyter Advanced Topics

February 14, 2019 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of plotting tools and magics, followed by demonstrations of how to make interactive widgets for interactive visualizations and dashboards and how to generate analysis pipelines and reports. Basic familiarity with Python will be assumed. If you have any questions or comments regarding this event, please contact Ben Winjum.

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Meta-analysis in Stata

February 14, 2019 @ 9:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

REGISTER FOR EVENT Meta-analysis is the synthesis of results from previous studies.  It is used to increase power, obtain a better estimate of an effect size, and sometimes to resolve conflicting conclusions in the literature.  In this workshop, we will discuss how the data for a meta-analysis are collected and organized, as well as how such data are analyzed and graphed.  We will also discuss some of the limitations meta-analysis and what should be included in a meta-analysis for publication.…

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Introduction to Jupyter

February 7, 2019 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
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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Analyzing and Visualizing Interactions in SAS

February 7, 2019 @ 9:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

REGISTER FOR EVENT In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. To understand the magnitude, direction, and significance of the interaction we need to decompose it into simple effects. Simple effects can be analyzed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) visualizing each effect with graphs. This seminar will demonstrate how to do all three analyses…

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January 2019

Using Globus From the Command Line

January 31, 2019 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

This short course will cover the basics of the Globus file transfer platform. We will discuss installation and configuration on Windows, MacOS, and Linux. Of particular interest will be using Globus from the command line. We will cover the installation of the GlobusCLI, initiating and monitoring transfers and some basic troubleshooting. The goal will be to develop basic skills that will enable the participant to incorporate GlobusCLI commands and data transfers into their workflows. A laptop and an account on…

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Introduction to GIS: Got data? Let’s map it!

January 23, 2019 @ 11:00 am - 1:00 pm
Young Research Library, West Classroom, 280 Charles E Young Dr N
Los Angeles, CA 90095 United States

RSVP HERE 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 this workshop.

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Introduction to R

January 16, 2019 @ 11:30 am - 2:30 pm
Young Research Library, West Classroom, 280 Charles E Young Dr N
Los Angeles, CA 90095 United States

REGISTER HERE Overview of R functionality. Taught by Andy Lin (Institute for Digital Research and Education).

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NVIDIA’s training on Accelerated and Deep learning Fundamentals using GPUs

January 16, 2019 @ 9:00 am - January 17, 2019 @ 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free

Agenda Day 1 - Jan 16, 2019, 9AM-4PM: Fundamentals of Accelerated Computing with OpenACC Learn the basics of OpenACC, a high-level programming language for programming on GPUs. This course is for anyone with some C/C++ experience who is interested in accelerating the performance of their applications beyond the limits of CPU-only programming. In this course, you’ll learn: How to profile and optimize your CPU-only applications to identify hot spots for acceleration How to use OpenACC directives to GPU accelerate your…

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Introduction to Statistical Software

January 9, 2019 @ 11:30 am - 1:30 pm
Research Commons (RC) Classroom, 11630F Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 United States

REGISTER HERE 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).  

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Software Carpentry: Python for Researchers

January 9, 2019 @ 9:00 am - January 10, 2019 @ 4:30 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 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 what they have learned to their own research problems. For more information on what we teach and why, please see our paper "Best Practices for…

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December 2018

Microsoft Excel Visual Basic for Application Programming

December 11, 2018 @ 10:00 am - 11:00 am
Math Sciences Building- OIT Conference Room 3909, 520 Portola Plaza
Los Angeles, CA 90095 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 large set of data in Excel and would like to automate the process.  If you are interested in this topic please attend the presentation.  This…

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XSEDE HPC Workshop: BIG DATA

December 4, 2018 @ 8:00 am - December 5, 2018 @ 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 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, visit: https://www.psc.edu/training-education/hpc-workshop-series/14-sample-data-articles/2944-xsede-hpc-workshop-big-data-december-4-5-2018 Agenda: Tuesday, December 4, 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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November 2018

GIS Day: Battle of the Maps

November 14, 2018 @ 10:00 am - 2:00 pm
Young Research Library, 280 Charles E Young Drive North
Los Angeles, CA 90095 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 in easy-to-learn Open Street Map skills! Spot prizes throughout the event! Free Food! An the chance to participate with civil society groups from across the…

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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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