Managing research data is a key component of any research project, and - when done right - can save you time and effort. In this session, participants will learn about current requirements and best practices for managing research data at [...]
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. [...]
Canada is a leader in innovation, research and development, thanks to the research community’s commitment to open science and international collaboration. However, this strength also makes Canadian research an attractive target for malicious actors. The transfer of our cutting-edge research [...]
Join us for the third workshop in the CRIS series Drawing Across the Disciplines. (https://cris.utoronto.ca/related/drawing-across-the-disciplines/)This session focuses on Graphic Facilitation. This 3-hour hands on workshop is a follow-on session from the January 18th panel discussion on Graphic Facilitation which [...]
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 several GPU programming frameworks, and demonstrate how to accelerate a [...]
Learn the basics of shared memory programming with OpenMP. In particular, we will discuss the OpenMP execution and memory model, performance, reductions and load balancing.Format: Virtual
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. [...]
Do you want to develop your R skills to advance your data science skills? R is a popular open-source statistical programming language that is popular in academia and industry. This workshop gently introduces users to intermediate level tools in R [...]
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 [...]