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 [...]

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 [...]

EES1137: Lecture 21

UTSC: AA207

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. [...]

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 [...]

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 [...]

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 [...]

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 [...]

EES1137: Lecture 22

UTSC: IC120

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. [...]

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