This session aims to give a foundation or refresher for website content editors on web accessibility fundamentals. Participants will learn about Web Content Accessibility Guidelines (WCAG 2.0) and how they apply to the AODA, what this means for their role [...]
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 as it applies to scientific computations, common numerical techniques 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 is to prepare graduate students for performing scientific data analysis. [...]
This session will provide communications professionals with key resources, tips and techniques to support the development and creation of accessible social media content. Participants will be reminded of our obligations, legal and social, to create accessible content, provided with guidance [...]
Type 2 diabetes (T2D) is a widespread chronic condition with severe consequences, including complications affecting blood vessels and organs, disability, and premature death. Research indicates that depression can significantly raise the risk of developing T2D, potentially through lifestyle and biological [...]
Join us at this online training/demo of the VPRI Dashboards, including ART (Tableau)! Dashboards access is required and limited to staff in research roles at U of T.
The Creative Destruction Lab is excited to introduce the “Spinout Series”, a new virtual event series for Canadian innovators interested in entrepreneurship to hear from some of the top minds in the country how they think about commercializing innovation. The [...]
Debugging is an important step in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code and debugging of parallel (MPI 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 is to prepare graduate students for performing scientific data analysis. [...]
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 as it applies to scientific computations, common numerical techniques and [...]