Search the Online Learning Catalogue


Showing 61–72 of 112 results

  • Pie and bar chart on laptop

    Introduction to Statistical Analysis with SPSS

    This beginner-level workshop will introduce you to the basics of SPSS statistical software, how it works, and some basic descriptive statistics and statistical procedures.

    Access the asynchronous learning module.

  • Bookshelf

    Journal Publishing

    Go behind the scenes of an academic journal. This workshop guides attendees through the significant steps of starting and editing a journal with Open Journal Systems (OJS) and develops their knowledge of the range of workflows supported by this open-source publishing software.

    Access the online module.

  • Pile of wood type of various letters

    LaTeX for Human(ist)s

    LaTeX is a typesetting and document creation program that has a lot of traction in STEM but very little pickup with folks in the Humanities. At this session, viewers will learn why this doesn’t have to be the case. See how LaTeX can be used by Humanities scholars and consider topics like what makes typesetting different from a word processor, why LaTeX still has resonance today despite being invented in the 1970s, why maths nerds love the program, and why people who might ordinarily use Word might want to think about maybe not using Word.

    Access the online module.

  • Less is More: Create Minimal Websites with Jekyll

    In this workshop, students will learn how to build a lightweight website using Jekyll and GitHub Pages.

    Access the workshop recording.

  • Protest sign on street pole. Reads "Respect my existence or expect my resistance."

    Looking Back to Go Forward: Histories of Oppositional Feminist Politics & the Internet

    Recent feminist media studies scholarship has attended to the ways in which feminism’s current popularity is intertwined with the logics of digital media platforms and neoliberal capitalism. But, has it always been? And, does it have to be? This work-in-progress talk by special guest Professor Jessalynn Keller (Communication, Media, and Film, University of Calgary) considers the possibilities for oppositional feminist politics online across both contemporary and historical contexts.

    Access the event recording.

  • Machine Learning with Python: Image Classification

    Learn image classification at this workshop, where we delve into image recognition using the PyTorch framework. Whether you’re a novice or have some prior experience in machine learning, this workshop is tailored to help you grasp the essentials of building image classification models.

    Access the workshop recording.

  • Robotic hand and a tinted yellow network

    Machine Learning with R: K-Means Clustering

    Clustering is an unsupervised machine learning approach for finding subgroups of observations within a data set. This workshop will introduce participants to the theoretical part of the most common clustering method, K-means clustering. Afterwards, participants will gain hands-on experience in how to conduct K-means clustering in R, as well as how to interpret and visualize their results.

    Access the event recordings.

  • Robotic Hand

    Machine Learning with R: Linear Regression

    This workshop will cover an introduction to linear regression with single and multiple predictor variables, followed by hands-on training on conducting linear regression in R, model training, testing accuracy, and how to interpret and visualize results.

    Access the event recordings.

  • Robotic Hand

    Machine Learning with R: Logistic Regression

    Logistic regression in R programming is a classification algorithm used to find the probably of event success and event failure. This workshop will cover an introduction to logistic regression, followed by hands-on training in how to conduct a logistic regression in R, model training, testing accuracy, and how to interpret and visualize results.

    Access the event recordings.

  • Robotic Hand reaching into data nodes

    Machine Learning with R: Random Forest Classification Approach

    The Random Forest is a powerful algorithm used for classification in the industry. The classification algorithm consists of many decision trees to get more accurate predictions. This workshop will go over the theoretical part of Random Forest, then provide attendees with hands-on training on conducting Random Forest classification, training the data, testing accuracy, and working with tuning parameters.

    Access the event recordings.

  • Robotic Hand

    Machine Learning with R: SVM Classification

    Support Vector Machine (SVM) is a supervised machine learning algorithm used for both classification and regression. This workshop will only cover the theoretical and practical parts of SVM classification as SVM is mostly used in classification problems. After the introduction, participants will receive hands-on training in the implementation of SVM classification in R, as well as training and testing datasets and setting up tuning and kernal parameters.

    Access the event recording.

  • Women looking at street cameras.

    Maintaining Your Digital Privacy

    This website doesn’t track you. But most do. Learn how to maintain your privacy on a hostile internet at this workshop.

    Access the online module.