Institute for Digital Research and Education
Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment, in R, julia or many other programming languages. Instructor: Raffaella D'Auria Register...
Read More
This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the workshop covers the essentials of GPU computing, with a special focus on leveraging these powerful processors within Python and R environments as well as other...
Read More
Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications. Instructor: Raffaella D'Auria Register via Zoom
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
Read More
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 will 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...
Read More
Cloud computing service enables users to access various computing resources such as applications, storage, databases, and even machine learning. This workshop will cover how to create your own high-performance computing cluster with a job scheduler on the cloud service, based on the knowledge of compute instance and storage. By doing this, the users can run...
Read More
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
Read More
Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to submit jobs, how to request resources and how to take advantage of very many CPU and GPU cores on the Hoffman2 Cluster. Instructor: Raffaella D'Auria...
Read More
The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design. The workshop will use SPSS Complex Samples to conduct descriptive analyses. Examples of subpopulation analyses will be given, as well as examples of linear and logistic regression models. Instructor: Christine Wells Register via Zoom
In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression coefficients, estimating and testing simple effects and their differences, and visualizing the interaction. This workshop will teach you how to do all of these thing...
Read More