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Training and Education

Sunday February 26, 2017 - 04:59
  

SciNet is a high-performance computing consortium of the University of Toronto and associated research hospitals, serving the computational needs of Canadian academic researchers. It is one of six such consortia in the Compute Canada family.

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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PHY1610 Scientific Computing for Physicists (Winter 2017)

Scientific Computing for Physicists
PHY1610

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 c...
44 enrolled - 24 events of 57.5 minutes 
Scientific Computing (university credit) 2017-02-28

Past Courses and Events

SCMP112 Intro to Scientific Computing with Python (Nov.2016)

Intro to Scientific Computing with Python
SCMP112

Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). The course can be ta...
Attended: 19 - 8 events of 60 minutes 
Scientific Computing (university credit) 2016-12-15
PHY1610 Scientific Computing for Physicists (Winter 2016)

Scientific Computing for Physicists
PHY1610

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 c...
Attended: 35 - 24 events of 60 minutes 
Scientific Computing (university credit) 2016-04-07
SCMP112 Intro to Research Computing with Python (Nov. 2015)

Intro to Research Computing with Python
SCMP112

Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
Attended: 11 - 8 events of 60 minutes 
Scientific Computing (university credit) 2015-11-26


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