Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for file naming. Join us to develop a naming convention based on elements that are important to your work.

Location: ONLINE

(A Zoom link will be sent to registrants 3 hours before the event starts.)

Now that we have learned to interact with LLMs more effectively in the previous workshops in this series, it is time to put it all together. We will use ChatGPT to help us run a t-test in R.

By the end of this session we hope you will:

• understand where ChatGPT can help in a data analysis workflow
• feel confident using ChatGPT in your own coding tasks

About the series: ChatGPT for Data Analysis consists of four 30-minute workshops that will help you use Large Language Models (LLMs) like ChatGPT to write data analysis code more efficiently. Each workshop focuses on a single topic with 15 minutes of teaching, followed by 15 minutes for questions, discussion, and practice. Register for other workshops in the series:

1.  How do LLMs work? - Mar 25, 2025
2.  How to ask for help? - April 1, 2025
3.  Dummy data and privacy - April 8, 2025
4.  Coding with ChatGPT - April 15, 2025

This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and learn about anomaly detection. Through a combination of lectures and hands-on exercises, participants will learn how to preprocess data, select relevant features, and evaluate model performance. By the conclusion of the workshop, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series:

• Upcoming Digital Scholarship workshops.

Location Details

Location:

*ONLINE*

If you have any questions, concerns, or accessibility needs please email holly.pickering@ubc.ca, abi.muthukumar@ubc.ca, or digital.scholarship@ubc.ca.

To keep up-to-date with all of the workshops, consults, and events subscribe to the UBC Library Research Commons monthly newsletter.

Are you considering or currently working on a textual project using the Text Encoding Initiative (TEI) XML? Do you want to work in community with other scholars who are using TEI-XML in their research projects? The Adaptive TEI Network is hosting a hands-on TEI working session for anyone with an upcoming or current TEI project. The goal of this session is to help gather a TEI community of practice and foster a space for shared learning. The session will be co-facilitated by Joey Takeda (Developer at SFU DHIL and TEI Technical Council Member) and Sydney Lines (Co-PI, The Adaptive TEI Network). 

Participants should bring a copy of a text they are interested in encoding. Some prior knowledge of TEI-XML will be helpful to attendees. 

Note that this drop-in session will have no formal instruction or agenda. Participants at any stage of their TEI project are welcome to attend, especially if they are curious about what a TEI project involves or have questions for the facilitator or others.

Participants are encouraged to review the following materials prior to attending:

• TEI Workshops: https://www.sfu.ca/~takeda/teiworkshop/

• Creating Digital Editions Using TEI: https://www.sfu.ca/~takeda/teiworkshop/2023-11-08/index.html#/digital-editions

Co-hosted by UBC Digital Scholarship in Arts, UBC Library Research Commons, and SFU Digital Humanities Innovation Lab

Location Details

This workshop will introduce the Unix shell, a powerful way to communicate with your computer more directly through a command line interface. There are many ways to interact with a computer. Most of the time we click on things and select options with a cursor through a graphical user interface (GUI). A command line is exactly what it sounds like, a way of writing commands to your computer line by line and is incredibly powerful. In this workshop we will show you how to navigate through different parts of your system and introduce some of the most useful commands to be aware of.

No previous experience with the command line is required. This workshop is for beginners.

Pre-workshop setup

Please have a laptop ready for this workshop. We will be using the Unix shell for most of the workshop. If you have a Mac or a Linux laptop you don't need to install or enable anything. If you are using a Windows10 PC you will need to turn on the “Windows Subsystem for Linux” setting as per these instructions. 

This workshop is part of the Core Skills series. 

Location Details

Location:

*ONLINE*

If you have any questions, concerns, or accessibility needs please email abi.muthukumar@ubc.ca

To keep up-to-date with all of the workshops, consults, and events, subscribe to the UBC Library Research Commons monthly newsletter.