Fall 2026 library workshops announced

Each semester, the University Library offers a lineup of workshops that covers a range of topics. Workshops are designed to help participants build skills and expand knowledge for everyday use, and to apply to course material and research projects. Bullet Journal Essentials, Generative AI with Diffusion Models, and Writing a README are a few of the many workshops offered for fall 2026. Preregistration is now open for fall library workshops. To learn more about individual sessions, email one of the contacts below or visit our online calendar to register.

September

Bullet Journal Essentials, 2:10-3:10 p.m., Thursday, Sept. 10, 2026, Michelle Zhai

Fundamentals of Deep Learning, 1-5 p.m., Monday, Sept. 14 and Tuesday, Sept. 15, 2026, TrAC

Finding (and Trusting) Data: Data Sources for Digital Scholarship and Beyond, 1-2:30 p.m. p.m., Wednesday, Sept. 16, 2026, Michael Cummings

Introducing Digital Skills in the Classroom: Opportunities for Instructors, 2-3 p.m., online, Thursday, Sept. 17, 2026, Abbey Elder and  Michael Cummings

R You Ready? An Introduction to R for Beginners, 2:10-4:10, Thursday, Sept. 17, 2026, Ben Tibbs-Cortes

Data Viz 101: Effective Design, 11 a.m.-noon, Monday, Sept. 21, 2026,  Michael Cummings, Anne Shelley, and Katie Wampole

Fireside Chats on Artificial Intelligence, noon-1 p.m., Wednesday, Sept. 23, 2026, Alfred Wallace Jenni Digavalli, Matt Mick, Amanda Reaman, and Yen Verhoeven

Shall we begin? Unix Command Line Fundamentals, 2:10-3:25 p.m., Tuesday, Sept. 22 and Thursday, Sept. 24, 2026, Michelle Zhai and Ben Tibbs-Cortes

Intro to DataShare and the ISU Digital Repository, online, 10-11 a.m., Wednesday, Sept. 23, 2026, Anne Shelley and Katie Wampole

Introduction to QGIS, 1-2:30 p.m., Wednesday, Sept. 23, 2026, Erin Ridnour and Amy Logan 

Navigating journal data requirements, online, noon-12:55 p.m., Friday, Sept. 25, 2026, Megan O'Donnell 

Exploring Free Tools for Text Analysis, 2-3:30 p.m., Tuesday Sept. 29, 2026,  Erin Ridnour

October

Generative AI with Diffusion Models, 1-5 p.m., Monday, Oct. 5 and Tuesday, Oct. 6, 2026, TrAC

Copyright in the Classroom: Support for Instructors, online, noon-1 p.m., Tuesday, Oct. 13, 2026, Abbey Elder

AI Literacy with Gemini, 1-2 p.m., Wednesday, Oct. 14, 2026, Alfred Wallace

How to Read Scholarly Articles, 2:10-3 p.m., Thursday, Oct. 15, 2026, Kris Stacy-Bates

Data Wrangling in OpenRefine, 2:10-3:25 p.m., Thursday, Oct. 15, 2026, Michelle Zhai

Fireside Chats on Artificial Intelligence, noon-1 p.m., Wednesday, Oct. 21, 2026, Alfred Wallace Jenni Digavalli, Matt Mick, Amanda Reaman, and Yen Verhoeven

Git Started with Version Control, 2:10-3:25 p.m., Tuesday, Oct. 20, 2026, Michelle Zhai and Ben Tibbs-Cortes

Creating an Academic Portfolio Website with GitHub Pages, 2-4 p.m., Wednesday, Oct. 21, 2026, Erin Ridnour

Easy as Py! Part 1: Coding concepts, Easy as Py! Part 2: Dataframe and Data Viz, 2:10-3:25, Tuesday, Oct. 27 and Tuesday, Nov. 3, 2026, Michelle Zhai and Ben Tibbs-Cortes

November

Digital Accessibility LaTeX and Overleaf, 9-10:30 a.m., Tuesday, Nov. 3, 2026, Jesse Garrison and Kristin Terrill

ArcGIS AI Assistants, 1-2 p.m., Wednesday, Nov. 4, 2026, Erin Ridnour and Josh Obrecht

Data Management in 5 Practices, online, 1-2 p.m., Friday, Nov. 6, 2026, Michelle Zhai

Writing a README, online, 12:15-12:45 p.m., Friday, Nov. 13, 2026, Michelle Zhai

Fireside Chats on Artificial Intelligence, 12:30-1:30 p.m.., Tuesday, Nov. 17, 2026, Alfred Wallace Jenni Digavalli, Matt Mick, Amanda Reaman, and Yen Verhoeven

Advanced AI Tools for Researchers, 3:30-4:30 p.m., Wednesday, Nov. 18, 2026, Alfred Wallace