Institute for Digital Research and Education
Registration: https://ucla.zoom.us/meeting/register/tJUud-6uqTwiGtNZEtt6vy5VApsl6AE8BJVM In this workshop we discuss generalized linear models and why and when we need to use them. We will discuss several generalized linear modes such as logistic, Poisson, and negative binomial and how we run them in R. The seminar briefly reviews regression concepts as necessary, but it is assumed that participants have...
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Registration: https://ucla.zoom.us/meeting/register/tJIlcuCpqzwoGt3dCRZ50lDgXWadWKeYfc2r This workshop will introduce the PROCESS Macro in SPSS (written by Andrew Hayes). Basic models will be demonstrated. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses.
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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IDRE ECR Group is excited to announce Open Science workshop with the following details: Title: Open Science Date and Time: Thursday, March 24, 2022 @10 AM (PST) Video recordings: Part-1. Part-2 Abstract: As the culture and context of academic research evolve with the times, there is a growing realization of the need and power in...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Singularity/Apptainor. Any questions about this workshop can be emailed to cpeterson@oarc.ucla.edu. Register here: https://ucla.zoom.us/meeting/register/tJwvcOytqjsiGdK5RudPYhsQTrmg4NP8HUqP
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms. Users can create a ‘virtual’ OS to easily install any application and transfer it to any system with container software. This workshop will cover how to build and use containers...
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Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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Google cloud platform (GCP) is a cloud environment, developed by Google, where users can easily access a wide range of cloud computing services, such as running computational programs, application development or website-hosting. This two-part workshop is intended to help you understand what GCP is about, and how it may provide campus researchers an option to...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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IDRE ECR Group is excited to announce the following workshop on Hierarchical Bayesian modeling with applications for spatial environmental data science: Title: Hierarchical Bayesian modeling with applications for spatial environmental data science Date and Time: Friday, May 6, 2022, @9 AM (PST) Recording is available here: https://youtu.be/Ubsns37DD_U Abstract: Effectively addressing pressing environmental problems in the...
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Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns can be conveyed and understood. The first part of this series will showcase various ways that Python can be used for...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...
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Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The second part of this series will explore various ways that Python can be used to...
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NFTs seem to be everywhere now. NFT stands for non fungible tokens. The creation and exchange of NFTs has been revolutionary in many ways, particularly in terms of arts and services markets. For example, in the art market, NFTs use blockchain technology to allow for the secure transfer and proof that an original piece of...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and...
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While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...
Read More
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We cover the basic elements of the grammar of graphics, including aesthetics, geoms, scales, and themes, and we will show you how easy ggplot2 makes it to integrate these elements to make informative and...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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This workshop will demonstrate how to include moderation terms (AKA interaction terms) in linear models, how to interpret the coefficients, and how to graph the interaction using the PROCESS macro in SPSS. Examples will include categorical by categorical, categorical by continuous, and continuous by continuous interactions. Any questions about this workshop can be emailed to...
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Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and...
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This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources” (https://github.com/ucla/hpc_workshops). This workshop will focus on creating containers to be ran on HPC resources. We will go over building containers using Docker/podman and Apptainer/Singularity. We will also use Hoffman2 to run our newly built containers. To follow along, users will...
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This Hoffman2 Happy Hour will discuss how to build and compile software on Hoffman2. This can also be applied to most HPC resources that researchers may use. While Hoffman2 system admins can compile software when needed, researchers can compile software themselves, so they have more control over how it is built. We will go over...
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As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning...
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As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will discuss some advanced topic on using scikit-learn python library to make high performance machine learning, specifically the speedup modeling using multicore and...
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Anaconda (https://www.anaconda.com/) is a distribution of R and Python that can be used to easily install many popular data science, biostats, and other packages. This Hoffman2 Happy Hour will go discus using Anaconda on Hoffman2. This can be applied to using Anaconda on various other HPC resources. We will go over creating conda environments and...
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The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Singularity/Apptainer. Any questions about this workshop can be emailed to Charles Peterson at cpeterson@oarc.ucla.edu. Presented by the Office of Advanced Research Computing (OARC). Register here: https://ucla.zoom.us/meeting/register/tJMqfu6vpjsrGNJrFbMEK_wiVH2gZy_Fztse
The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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The most widely used way to interact with computers is through a graphical user interface, for example, the desktop interface of Microsoft Windows or Mac OS. However, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command...
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Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. Besides understanding of cloud computing, these workshops are intended to provide hands-on tutorials to see how cloud service providers may offer academic researchers an option to use additional computing resources. Working on two...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time, effort, and headache. For example, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished...
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Cloud computing service is the delivery of computing resources including applications, servers, storage, databases, networking, analytics, and artificial intelligence over the internet. This workshop series will provide hands-on tutorials to demonstrate cloud services as an alternative computing resource for academic researchers. We will cover two leading cloud services, Amazon Web Service (AWS) and Google Cloud...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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This workshop is an overview of how to acquire and run Jupyter Notebook services for free from anywhere. In another word, you will learn how a web browser is all you need for getting free Jupyter resources. Any questions about this workshop can be emailed to Qiyang Hu at huqy@oarc.ucla.edu Presented by the Office of...
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Whether it is interviews, documentary coverage, or contextual footage, video has become a common practice within research. This course is designed to help scholars manage and make use of their research video footage. The workshop will discuss various best practices regarding file management, editing platforms, and techniques for putting footage together to meet your research...
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This workshop will go over using Big Data techniques on HPC resources. Big Data methods are used when data size because so large, it becomes challenging to compute. Also, when machine learning models become so complex, it can also be challenging to train. In this workshop, we will go over examples of solving Big Data...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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This workshop is a descriptive "no-math" and "no-python" introduction to what deep learning is and how to train a deep neural network. Our discussion will be arranged along with a general procedure for working on a deep learning project. Basic knowledge of calculus and linear algebra will be helpful in understanding the details. Any questions...
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This workshop introduces the functionality of R, with a focus on data analysis. Topics include: using RStudio, R coding basics, importing and cleaning data, simple data analysis functions, and brief introductions to R graphics (base and ggplot2) and RMarkdown. This workshop is interactive with coding exercises throughout. Any questions about this workshop can be emailed...
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We will give a general introduction to PyTorch, a popular deep learning framework, with practical illustrations on the primary usage of tensors and automatic differentiation, and on solving a simple temperature-conversion problem using PyTorch. The knowledge of topics covered in the previous session about machine/deep learning is assumed. Working experience with Python and Jupyter Notebooks...
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The Hoffman2 Happy Hours are designed to showcase one cluster related topic in a short presentation (no more than 20 minutes and generally much less) or lightning talk format, to be followed by 30 to 40 minutes of discussion and user support (office hour style). Each Hoffman2 Happy Hour meeting is 50 minutes long. Bring...
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