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Training and Education

Sunday March 29, 2020 - 20:32


The purpose of the SciNet Education site is to support the training of SciNet users. In case you are not familiar with SciNet, SciNet is Canada's largest supercomputer centre, providing Canadian researchers with computational resources and expertise necessary to perform their research on scales not previously possible in Canada. We help power work from the biomedical sciences and aerospace engineering to astrophysics and climate science. SciNet provides resources for Compute/Calcul Canada, a national infrastructure for supercomputing-powered research, and SOSCIP, a Southern Ontario infrastructure for driving innovation.

Most of our education and training involves on-site training session at the University of Toronto. Many of our sessions are also streamed over the web and recorded. Recordings of most of the sessions can be found on this site on the respective course pages.

The content of our training courses is publically available.

SciNet Certificates

While the content of our courses is publically available, you do need an account to enroll. Enrollment allows us to keep track of the training courses that students have followed. SciNet awards a certificate to students that have followed a certain number of course. See here for details.

Courses for University Credit (only for physics/astrophysics/chemisty grad students)

Starting in Winter 2016, SciNet teaches the PHY1610 graduate course course of the Physics Department at the University of Toronto, "Scientific Computing for Physicists", which despite the name draws students from other fields like Chemistry, Mathematics and Engineering as well.

Furthermore, for several years now, physics, astrophysics and chemistry grad students at the University of Toronto have been able to take some of the shorter SciNet courses for credit towards their degree. These are the courses designated as mini courses for astrophysics grad students and as modular courses for physics and chemistry grad students

These mini/modular courses work as follows:

  • You take the modules throughout the year.
  • Once you have completed the 3 modules, you notify your graduate office, and they will add this course to your transcript along with your grade.

Currently there are four such courses given by SciNet (others are given by the physics and astronomy departments):

  • Intro to Research Computing with Python
  • Intro to Data Science with R
  • Scientific Software Development
  • Numerical Tools for Physical Scientists
  • High Performance Scientific Computing

(The latter three combined form PHY1610.)

Getting an Account

The best way to get an account to enroll in SciNet training courses is by getting a SciNet account, as this automatically doubles as the account for this etducation site.

In general, any academic researcher from a Canadian research institution, as well as their group members and collaborators, may apply for an account on SciNet. Details on how to get a SciNet account can be found here .

If you want to take part in a SciNet course and think that you do not fall in this category, please send us a request.

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