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Training and Education

Thursday August 22, 2019 - 14:51
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers.

This website contains the online content of SciNet's training and education program. It contains lecture videos, slides, links, forums and other electronic material, all publicly available. The materials are organized by course; the list of recent courses can be browsed below.

Users of SciNet and Compute Canada can furthermore login to submit assignments and track their progress towards SciNet's Scientific Computing Certificate, Data Science Certificate, and High Performance Certificate.

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Archived Courses and Events

CDL Machine Learning Bootcamp (July 2019)

CDL Machine Learning Bootcamp

A machine learning bootcamp given to participants of the Quantum Machine Learning program by Creative Destruction Labs.

Instructor: Erik Spence
Attended: 75 - 3 events of 480 minutes

 
External 2019-07-02
Intro to SciNet/Niagara (@BrainHack2019)

Intro to SciNet/Niagara

This workshop is part of the 2019 Toronto BrainHack. A quick introduction how to use SciNet and the Niagara supercomputer in the context of the CAN-ACN BrainHack 2019.

Instructor: Marcelo Ponce
Attended: 15 - 90 minutes

 
External 2019-05-21
Introduction to Machine Learning (@CBP2019)

Introduction to Machine Learning

This workshop is part of the 2019 Chemical BioPhysics Symposium. This workshop will provide an introduction to some of the key methods and concepts in machine learning. We will present and discuss the following topi...

Instructor: Marcelo Ponce
Attended: 30 - 180 minutes

 
External 2019-05-03
IDIES Visualization Hackathon

IDIES Visualization Hackathon

The Institute for Data Intensive Engineering and Sciences will jointly host a Visualization Hackathon with the University of Toronto. The Hackathon will be on Friday & Saturday, January 25 & 26, 2019 from 9 AM – 5 PM (appro...

Instructor: Marcelo Ponce
Attended: 15 - 2 events of 480 minutes

 
External 2019-01-25


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