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Training and Education

Monday May 21, 2018 - 08:30
  

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.

SciNet users and students 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

Introduction to the Linux Shell (@CBP2018)

Introduction to the Linux Shell

This workshop is part of the 2018 Chemical BioPhysics Symposium. Nowadays, researchers working in fields ranging from astrophysics to molecular dynamics, genetics, and bioninformatics, need to use Linux to be able to handle their computationa...

Instructor: SciNet Team
Attended: 20 - 180 minutes

 
External 2018-05-04
CDL Python Bootcamp (Aug 2017)

CDL Python Bootcamp

A Python Bootcamp is given to partipantss of the Quantum Machine Learning program by Creative Destruction Labs

Instructor: Ramses van Zon
Attended: 68 - 3 events of 420 minutes

 
External 2017-09-01
Scaling to Petascale Institute (June 2017)

Scaling to Petascale Institute

A virtual HPC summer school, organized by a number of the US XSEDE sites, also hosted at SciNet. Details at https://bluewaters.ncsa.illinois.edu/petascale-summer-institute .

Instructor: SciNet Team
- 6240 minutes

 
External 2017-06-26
Introduction to R (@CBP2017)

Introduction to R

This workshop is part of the 2017 Chemical BioPhysics Symposium. A basic introduction to the R programming language will be covered. Participants willing to follow along examples presented, should bring a laptop with R or Rstudio installed.

Instructor: Marcelo Ponce
Attended: 6 - 180 minutes

 
External 2017-05-05


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