Upcoming SciNet Events

SciNet EventsRefresh calendars Add to google calendar
August,2016
Fri 12th Aug
9:30 am
4:30 pm
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Visualization session at the Ontario HPC Summer School East, at the University of Ottawa hosted by CAC. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Sun 14th Aug
4:00 pm
7:00 pm
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As part of the "2016 Industrial Problem Solving Workshop" to be hosted at the Fields Institute, SciNet will provide an introduction to High Performance Computing resources, as well as support for participants who decide to tackle this problems numerical utilizing supercomputer resources. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
September,2016
Wed 14th Sep
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 14th Sep
12:00 pm
1:00 pm
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pizza, user discussion, and a techtalk on "Overview of 3D Scientific Visualization Tools" Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 20th Sep
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 22nd Sep
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 27th Sep
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 27th Sep
12:00 pm
1:30 pm
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Live broadcast of the Q&A session for the 2016 Visualization Challenge: "Visualize this!/Faites-nous voir ça!" competition Part of Visualization Challenge -- live Q&A session, Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 29th Sep
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
October,2016
Tue 4th Oct
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Wed 5th Oct
4:30 pm
6:00 pm
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Information sessions for the 2017 Big Data Challenge for High Schools Students. Part of 2016-17 Big Data Challenge for High School Students -- Information Sessions, Location: Villanova College
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2480 15th Sideroad, King City, L7B 1A4, Canada
Thu 6th Oct
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 6th Oct
4:30 pm
6:00 pm
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Information sessions for the 2017 Big Data Challenge for High Schools Students. Part of 2016-17 Big Data Challenge for High School Students -- Information Sessions, Location: Earl Haig Secondary School
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100 Princess Ave, Toronto, M2N 3R7, Canada
Fri 7th Oct
4:30 pm
6:00 pm
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Information sessions for the 2017 Big Data Challenge for High Schools Students. Part of 2016-17 Big Data Challenge for High School Students -- Information Sessions, Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 11th Oct
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 11th Oct
12:00 pm
1:00 pm
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The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.This course can be taken as "Seminars in Translational Research" (MSC1010Y-1011Y) for students in the "Institute of Medical Science".This course can also be taken by PhD students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.The course can also be taken as a mini/modular graduate course by Physics students. Part of Introduction to Data Analysis with R, Location: Koffler House, KP108
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569 Spadina Crescent, Toronto, M5S 2J7, Canada
Wed 12th Oct
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Boardroom MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Wed 12th Oct
12:00 pm
1:00 pm
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pizza, user discussion, and a tech talkabout SciNet's new "Knights Landing" KNL nodes Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 13th Oct
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 13th Oct
12:00 pm
1:00 pm
Add event to google
The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.This course can be taken as "Seminars in Translational Research" (MSC1010Y-1011Y) for students in the "Institute of Medical Science".This course can also be taken by PhD students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.The course can also be taken as a mini/modular graduate course by Physics students. Part of Introduction to Data Analysis with R, Location: Koffler House, KP108
Show in Google map
569 Spadina Crescent, Toronto, M5S 2J7, Canada
Thu 13th Oct
12:00 pm
1:30 pm
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This is a collection of non-training events at, by, or just announced by SciNet. Part of General Event Announcements, Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 18th Oct
12:00 pm
1:00 pm
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The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.This course can be taken as "Seminars in Translational Research" (MSC1010Y-1011Y) for students in the "Institute of Medical Science".This course can also be taken by PhD students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.The course can also be taken as a mini/modular graduate course by Physics students. Part of Introduction to Data Analysis with R, Location: Koffler House, KP108
Show in Google map
569 Spadina Crescent, Toronto, M5S 2J7, Canada
Wed 19th Oct
10:00 am
1:00 pm
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Learn the basics of how to use the unix shell in two hours. Includes an mild introduction to bash scripting as well. Very useful for new users of SciNet that have little or no experience with unix or linux. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 20th Oct
12:00 pm
1:00 pm
Add event to google
The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data.This course can be taken as "Seminars in Translational Research" (MSC1010Y-1011Y) for students in the "Institute of Medical Science".This course can also be taken by PhD students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.The course can also be taken as a mini/modular graduate course by Physics students. Part of Introduction to Data Analysis with R, Location: Koffler House, KP108
Show in Google map
569 Spadina Crescent, Toronto, M5S 2J7, Canada