Intro to SciNet, Niagara and Mist
SciNet Teaching RoomIn about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up […]
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up […]
In-Person Location: Robarts Library, 5th Floor, Room 5-053 (directly across from the elevator). Map & Data Library Computer Lab Excel is a popular spreadsheet software that allows you to organize, […]
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 […]
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 […]
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 […]
Are you interested in sharing your data with other researchers? Has a journal or funder asked you to share your data? Would you like to house your research team’s data […]
The Canadian Hub for Health Intelligence and Innovation in Infectious Diseases (HI3), led by the University of Toronto, is a newly awarded collaborative, multi-disciplinary and multi-sector coalition of more than […]
The Anti-Racism & Cultural Diversity Office (ARCDO) and the University of Toronto is committed to supporting faculty, staff and students in the tri-campus community and responding to the needs of […]
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 […]
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 […]