Instructor: Stephanie Quail, Scholarly Communications Librarian, York University In 2020, two librarians from York University created an open educational resources (OER) mini-course for faculty who received funding from York's internal […]
Instructors: Monica Shah, Associate, Digital Transformation, eCampusOntario; Laura Viselli, Senior Manager, Research and Foresight, eCampusOntario Target Audience: This Digital Transformation (Dx) Leadership program is intended for individuals in a leadership […]
An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce […]
Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.Format: In-person, but will also be broadcast and […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software […]
Text analysis is a quickly growing field focused on analyzing texts (potentially thousands or millions of texts) using code. This workshop will introduce you to Constellate, a text analysis tool […]
A network is a way of specifying relationships among a collection of entities or actors. Networks come up in a variety of situations; for example, they can describe relationships between […]
In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is […]
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up […]
