| Workshop | Date | Time | Instructor(s) |
|---|---|---|---|
| Introduction to Programming Using Python (Section I) [GitHub repo] | 9/11, 9/12, 9/14 | 4:30-6:00PM | Matthew Cahn |
| Managing Research Data [Slides in PDF] | 9/18 | 4:30-6:00PM | Sarah Reiff Conell and Neggin Keshavarzian |
| Options for Processing Big Data for the Social Sciences and Humanities (see Media Central recording) | 9/19 | 4:30-6:00PM | Mattie Niznik |
| Introduction to the Linux Command Line (Parts 1 & 2) [external guide] | 9/20, 9/21 | 4:30-6:00PM | Galen Collier and Mattie Niznik |
| Python User Group (PyPrinceton) Kickoff Meeting [join listserv] | 9/22 | 12-1PM | PICSciE/RC Staff |
| Command-Line Power Tools [grep, find] [see tmux] | 9/25 | 4:30-6:00PM | Galen Collier |
| Introduction to Data Analysis Using R | 9/25 | 6:00-8:00PM | Oscar Torres-Reyna |
| Getting Started with the Research Computing Clusters (Parts 1 & 2) [guide] | 9/26, 9/27 | 4:30-6:00PM | Mattie Niznik |
| How to Make Effective Plots [Slides in PDF] | 9/28 | 10AM-12PM | Carolina Roe-Raymond |
| Amazon Web Services (AWS): Machine Learning in the Cloud with Sagemaker | 9/28 | 11AM-3PM | AWS Staff |
| Python for Poets (Parts 1 & 2) [GitHub repo] | 9/28, 10/2 | 4:30-6:00PM | Massimiliano Dalmasso |
| Intro to Large Language Models with Google AI | 9/29 | 1:00-5:00PM | Josh Gordon, Google |
| Introduction to Data Analysis Using Python | 10/2 | 6:00-8:00PM | Oscar Torres-Reyna |
| Removing the Tedium from Your Research Workflow [GitHub repo] | 10/3 | 4:30-6:00PM | Jonathan Halverson |
| Getting Started with Machine Learning in Python [GitHub repo] | 10/4 | 4:30-6:00PM | Julian Gold |
| Quantum Computing and Pizza [Slides in PDF] | 10/5 | 12:00-1:00PM | Benjamin Lienhard |
| Introduction to Programming Using Python (Section II: Parts 1, 2 and 3) [GitHub repo] | 10/5,10/9, 10/11 | 4:30-6:00PM | Matthew Cahn |
| Introduction to GPU Computing [GitHub repo] | 10/10 | 4:30-6:00PM | Jonathan Halverson |
| Molecular Simulation Software and Pizza | 10/12 |
4:30-5:30PM |
Multiple speakers |
| RNASeq and Single Cell Sequencing (Parts 1 & 2) [slides] | 10/18, 10/25 | 4:30-6:00PM | Abhishek Biswas |
| Make Your Research Open and Reproducible with Software Containers [webpage] | 10/19 | 4:30-6:00PM | Jonathan Halverson |
| Using R on the Research Computing Clusters [webpage] [GitHub] | 10/24 | 4:30-6:00PM | Galen Collier |
| Scientific Visualization with VisIt | 10/27 | 2:00-3:30PM | Eliot Feibush |
| Graph Neural Networks for Your Research [GitHub] | 10/30 | 4:30-6:00PM | Gage DeZoort |
| Data Visualization in Python [GitHub] | 11/1 | 4:30-6:00PM | Jake Snell |
| Data Visualization with R (Intermediate Level) [slides] [QMD file] | 11/9 | 10AM-12PM | Carolina Roe-Raymond |
| Multi-GPU Training in PyTorch: Data and Model Parallelism [GitHub] [Slides] | 11/9 | 4:30-6:00PM | Mengzhou Xia, A. Wettig and J. Halverson |
| Continuous Integration and Automated Software Testing [slides] | 11/16 | 10:30AM-12:00PM | David Luet |
