Below are the workshops of Wintersession 2023 that have online materials. See our archive page for the complete list of past workshops.

Workshop Date  Time Instructor(s)
Data Analysis, Using MATLAB (PDF) 1/17 1:00-4:00 pm Frederik Simons
R Data Wrangling: tidyverse packages tidyr & dplyr (files on OPR site) 1/17 1:30-4:00 pm Boriana Pratt
Introduction to Machine Learning (5-Part Mini-Course) (GitHub) 1/17-1/19,1/23-1/24 2:00-4:00 pm Brian Arnold, Gage DeZoort, Christina Peters, Amy Winecoff
Data Literacy and Visualization for GLAM Collections (Galleries, Libraries, Archives and Museums) 1/18 10:00 am-3:00 pm Matt Chandler, Carolina Roe-Raymond, Julia Gearhart
Put Census data into R to make maps 1/18 1:00-2:30 pm William Guthe
What’s Where and Why: Use QGIS to Explore Geospatial Information 1/18 1:00-4:00 pm Wangyal Shawa and William Guthe
Good Practices for Research Software Engineering (GitHub) 1/18 2:00-3:00 pm Ian Cosden
Creating Reusable Python Code: From Notebooks to Scripts to Packages (GitHub) 1/18 3:00-5:00 pm Michal Grzadkowski
Cloud Basics for Research Computing (PDF) 1/19 10:00-11:00 am Irene Kopaliani
Debugging & Profiling Code, in Python and R (PDF, ZIP) 1/19 2:00-5:00 pm Abhishek Biswas
Making Your Figures Work for You, Using MATLAB (PDF) (HTML repo) 1/20 1:00-4:00 pm Frederik Simons
Gotcha! How to Write Software Tests to Improve Code Quality (GitHub) 1/23 2:00-3:30 pm Bill Hasling
Software Quality Assurance Tooling (ISciNumPy.dev) 1/23 3:30-5:00 pm Henry Schreiner
Python for Poets (GitHub) 1/24, 1/25 2:00-5:00 pm Ryan Heuser and Gian Rominger
Mastering vim: Edit as Fast as You Think (GitHub) 1/24 3:00-4:30 pm Troy Comi
Introduction to CMake (Tutorial) 1/25 3:30-5:00 pm Henry Schreiner
Introduction to Programming Using Python (GitHub) 1/26, 1/27 2:00-5:00  pm Matthew Cahn