Web Content Accessibility Crash Course (Day 1) – Mar. 20, 2024

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 at the University and provide a foundation for discussion of web accessibility with different types […]

NSERC Alliance Updates Information Session – Mar. 20, 2024

The NSERC-Alliance research grant program is one of the most flexible and popular avenues for government funding support for externally-sponsored research, offering up to $1M/year for up to 5 years for individual research projects with partners drawn from industry or the not-for-profit or public sectors. The program was updated and streamlined at the end of […]

Web Content Accessibility Crash Course (Day 2) – Mar. 21, 2024

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 at the University and provide a foundation for discussion of web accessibility with different types […]

PHY1610 Scientific Computing Lecture

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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]

EES1137: Lecture 20

REDCap Resources

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. Successful students will learn how to use statistical inference tools to gain insight into large […]

Accessible Social Media – Mar. 21, 2024

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 on common social media platform accessibility features, and given advice on how to design accessible […]

Ultra-processed Food Consumption, Depression, and Diabetes: Results from the CARTaGENE Study – Mar. 21, 2024

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 factors. Additionally, our modern diet presents a challenge with the increasing consumption of ultra-processed foods […]

CDL Nurture Spinout Series: How to Think About Spinning Out in Canada – Mar. 25, 2024

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 first event in this series "How to Think About Spinning Out in Canada" is now […]

Parallel Debugging with DDT

Virtual

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 threaded) codes using DDT.

EES1137: Lecture 21

REDCap Resources

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. Successful students will learn how to use statistical inference tools to gain insight into large […]

PHY1610 Scientific Computing Lecture

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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]

Evidence-Based Medicine-New Learnings and Opportunities – Mar. 26, 2024

Research Connect is thrilled to dedicate a very special webinar to “Evidence-Based Medicine-New Learnings and Opportunities”. Dr. Gordon Guyatt, MD, MSc, FRCP, OC. Distinguished Professor, Departments of Health Research Methods, Evidence and Impact and Medicine at McMaster University will be the esteemed guest speaker. Dr. Alfonso Iorio will moderate and be a panelist. Dr. Alfonso […]

NSERC Arthur B. McDonald Fellowship Information Session – Mar 27, 2024

Join the Office of the Vice-President, Research & Innovation for an information session on applying to the NSERC Arthur B. McDonald Fellowship (https://research.utoronto.ca/honours-awards/db/arthur-b-mcdonald-fellowships) internal competition.The session will be led by Dr. Sarah Carson, Manager, University Awards and Honours, who will share insights on the profile of recent Fellowship recipients, the internal selection process, and writing the 6-page […]

PHY1610 Scientific Computing Lecture

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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]

EES1137: Lecture 22

REDCap Resources

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. Successful students will learn how to use statistical inference tools to gain insight into large […]

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