| Workshop | Date | Time | Instructor(s) |
|---|---|---|---|
| Options for Processing Big Data for the Social Sciences and Humanities (see Media Central recording) | 2/13 | 4:30-6:00PM | Jonathan Halverson |
| Introduction to the Linux Command Line (Parts 1 & 2) [online material] | 2/14, 2/16 | 4:30-6:00PM | Galen Collier |
| Introduction to Data Anaylsis using R (download files) | 2/15 | 10AM-12PM | Oscar Torres-Reyna |
| Big Data Analytics and Machine Learning with Spark (webpage) | 2/15 | 4:30-6:00PM | Jonathan Halverson |
| How Does ChatGPT Work? An Overview of Large Language Models (video 1, video 2, video 3) | 2/20 | 4:30-6:00PM | Ameet Deshpande and Alexander Wettig |
| Command-Line Power Tools (GitHub repo) | 2/20 | 1:30-3:00PM | Axel Haenssen |
| Getting Started with the Research Computing Clusters (guide) | 2/21 | 4:30-6:00PM | Anvitha Sudhakar |
| Introduction to Data Anaylsis using Python (download files) | 2/22 | 10AM-12PM | Oscar Torres-Reyna |
| Removing the Tedium from Your Research Workflow (GitHub repo) | 2/23 | 4:30-6:00PM | Jonathan Halverson |
| Let's Collaborate! Software Development using the GitHub Web Interface (GitHub repo) | 2/28 | 4:30-6:00PM | Kilian Lieret |
| High-Performance Python for CPUs [GitHub repo] | 3/1 | 4:30-6:00PM | Henry Schreiner |
| Machine Learning and Pizza [slides] | 3/2 | 12:00-1:00PM | PICSciE Staff |
| N-Ways to GPU Programming (Parts 1 & 2) [Zoom] [Slides] [Materials] | 3/9, 3/10 | 1:00-5:00PM | NVIDIA |
| Continuous Integration and Automated Software Testing [slides] | 3/10 | 10:30AM-12PM | David Luet |
| Fundamentals of Deep Learning with Multi-GPUs (Parts 1 & 2) | 3/15, 3/16 | 1:00-5:00PM | Srivathsan Koundinyan, NVIDIA |
| Kokkos: A Parallel, Portable Programming Model for CPUs and GPUs [GitHub] | 3/20 | 4:30-6:00PM | Rohit Kakodkar |
| Scientific Visualization with VisIt [materials] | 3/21 | 2:00-3:30PM | Eliot Feibush |
| Introduction to Programming Using Python (Parts 1, 2 & 3) [materials] | 3/21, 3/22, 3/23 | 4:30-6:00PM | Matthew Cahn |
| High-Performance Python for GPUs [GitHub] | 3/22 | 4:30-6:00PM | Henry Schreiner |
| Getting Started with Machine Learning in Python [materials] | 3/24 | 4:30-6:00PM | Christina Peters, UDel |
| Graph Neural Networks for Your Research [materials] | 3/27 | 4:30-6:00PM | Gage DeZoort |
| Intro to Numerical Computing in Python with NumPy [GitHub] | 3/28 | 4:30-6:00PM | Vineet Bansal |
| A Tour of PyTorch 2.0 [Zoom video][materials] | 3/30 | 3:30-5:00 PM | Shashank Prasanna, Meta |
| Microsoft Azure Cloud Training [materials] | 4/4 | 9AM-12PM | Jasmine Greenaway, Microsoft |
| spaCy: A Python Library for Natural Language Processing [video] [slides] | 4/4 | 4:30-6:00PM | Victoria Slocum, Explosion |
| Data Visualization in Python [GitHub] | 4/6 | 4:30-6:00PM | Michal Grzadkowski |
| Managing Research Data [PDF] | 5/4 |
11AM-12:00PM |
Halle Burns and Sarah Reiff Conell |
| Geographic Information Systems (GIS) Workshops on QGIS and ArcGIS Pro | 2/6-3/8 | William Guthe & Wangyal Shawa |
