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.
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
Learning Objectives: Provide an overview of the race-related Ontario Human Rights Code grounds and definitions of relevant key terms. Explore how racial discrimination and harassment manifest in the work environments. Share strategies and tools to effectively identify and respond to race-related conflicts in the workplace. Explain the role of the Antiracism and Cultural Diversity Office […]
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 […]
