Loading Events

Upcoming Events › Classes and Workshops

Events Search and Views Navigation

January 2020

R Markdown

January 23, 2020 @ 9:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free Sold out

R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code.  The resulting dynamic reports can be produced in many formats, including HTML documents, HTML slideshows, LaTeX pdf, Beamer slideshows, MS Word doc, books, scientific articles, and websites.   This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends:  Markdown for formatting text, knitr for R code chunks, and YAML…

Find out more »

Jupyter Advanced Topics

January 29, 2020 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 13 spots left

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 how to make interactive widgets for interactive visualizations and dashboards, how to generate analysis pipelines and reports, and how to link notebooks with online tools such as GitHub and Binder to share an interactive notebook with collaborators or the general public. If you have any further questions regarding the workshop, please contact Ben Winjum.

Find out more »

February 2020

Regression Models with Count Data

February 18, 2020 @ 1:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 4 spots left

Regression models for data with a count outcome is part of the family of generalized linear models. This workshop is designed to give an overview on regression model with count data. The workshop includes a broad range of analyses available for count regression models such as Poisson regression, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial. The main statistical package in the workshop is R, but code to implement count regression models in other statistical packages such as Stata, SAS…

Find out more »

Learning Deep Learning with PyTorch (1) Introduction

February 19, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free Sold out

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the first session of the series, we will give general introduction about machine learning, neural network…

Find out more »

Introduction to Survey Data Analysis in Stata

February 20, 2020 @ 9:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 17 spots left

The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design.  The workshop will use Stata to conduct descriptive analyses and create graphs.  Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. If you have questions or comments regarding this event, contact Statistical Consulting Group. NOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only…

Find out more »

Running Applications on the Hoffman2 Cluster: Part I

February 20, 2020 @ 1:00 pm - 3:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free 40 spots left

The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and how to submit batch and run interactive applications. If you have questions or comments regarding this workshop, please contact the instructor Raffaella D'Auria.

Find out more »

Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning

February 21, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 12 spots left

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the second session of the series, we will look into the procedures of working on a…

Find out more »

Introduction to Confirmatory Factor Analysis using R with laavan

February 24, 2020 @ 1:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 30 spots left

This workshop will cover basic concepts of confirmatory factor analysis by introducing the CFA model and looking at examples of a one-factor, two-factor and second-order CFA. Concepts such as model identification, standardized solutions, and model fit statistics such as the chi-square statistic, CFI, TLI and RMSEA will be covered. The focus is on learning the CFA model and how to implement and interpret the output in R’s lavaan package. If you have questions or comments regarding this event, contact Statistical Consulting…

Find out more »

Learning Deep Learning with PyTorch (3) Using PyTorch

February 26, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free 15 spots left

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the third session of the series, we will illustrate the basic usage of PyTorch and how…

Find out more »

Job Scheduling on Hoffman2 Cluster

February 26, 2020 @ 2:00 pm - 4:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free 41 spots left

We will discuss how to effectively run jobs on Hoffman2 cluster which serves a wide spectrum of user applications and is almost always heavily loaded. We will first review the model and policy of Hoffman2’s job scheduling, followed by fundamentals of using its job scheduler, Univa Grid Engine. A number of common use cases will be discussed in details, including: (1) Single-CPU jobs, (2) Multi-CPU, same-node jobs, (3) Multiple-node (MPI-style) jobs, (4) Job arrays and (5) High-priority jobs. If you…

Find out more »

Advanced Topics in Survey Data Analysis

February 27, 2020 @ 9:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
Free 17 spots left

This workshop will cover advanced topics in the analysis of complex survey data.  Familiarity with common sampling plans and how to analyze data from them is necessary to understand the topics that will be discussed.  It is strongly suggested that attendees who do not have such familiarity attend the Introduction to Survey Data Analysis workshop before attending this workshop. The workshop presents several advanced topics in dealing with complex survey data, including imputation, generating and using propensity scores, multilevel modeling…

Find out more »

Running Applications on the Hoffman2 Cluster: Part II

February 27, 2020 @ 1:00 pm - 3:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 48 spots left

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. If you have questions regarding the workshop, please contact the instructor Raffaella D'Auria

Find out more »

Learning Deep Learning with PyTorch (4) Convolutional Neural Networks

February 28, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 18 spots left

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fourth session of the series, we will introduce convolutional neural network and learning how to…

Find out more »

March 2020

Learning Deep Learning with PyTorch (5) Transfer Learning

March 4, 2020 @ 11:00 am - 12:00 pm
IDRE Portal, 5628 Math Sciences Building, 520 Portola Plaza
Los Angeles, CA 90095 United States
+ Google Map
Free 19 spots left

This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. In the fifth session of the series, we will introduce transfer learning technology to use pre-trained models…

Find out more »
+ Export Events

Events List Navigation

UCLA OIT