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.

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…

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…

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…

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.

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…

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…

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…

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…

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…

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

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…