Upcoming SciNet Events

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August,2019
Mon 19th Aug
11:00 am
6:00 pm
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The goal of this institute is to prepare attendees to be able to scale their computational codes to leadership-class computing systems via two-way video conferences with help of local analysts. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 20th Aug
11:00 am
6:00 pm
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The goal of this institute is to prepare attendees to be able to scale their computational codes to leadership-class computing systems via two-way video conferences with help of local analysts. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Wed 21st Aug
11:00 am
6:00 pm
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The goal of this institute is to prepare attendees to be able to scale their computational codes to leadership-class computing systems via two-way video conferences with help of local analysts. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 22nd Aug
11:00 am
6:00 pm
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The goal of this institute is to prepare attendees to be able to scale their computational codes to leadership-class computing systems via two-way video conferences with help of local analysts. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Fri 23rd Aug
11:00 am
6:00 pm
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The goal of this institute is to prepare attendees to be able to scale their computational codes to leadership-class computing systems via two-way video conferences with help of local analysts. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
September,2019
Mon 9th Sep
1:00 pm
2:00 pm
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In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing.The goal of this course is to prepare graduate 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.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and to be taught at the UofT St. George campus. Part of Introduction to Computational BioStatistics with R, Location: Medical Sciences Building, MS2170
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1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 11th Sep
10:00 am
11:30 am
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A quick introduction how to use SciNet and the Niagara supercomputer. Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 12th Sep
1:00 pm
2:00 pm
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In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing.The goal of this course is to prepare graduate 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.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and to be taught at the UofT St. George campus. Part of Introduction to Computational BioStatistics with R, Location: Medical Sciences Building, MS2170
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1 King's College Circle, Toronto, M5S 1A8, Canada
Mon 16th Sep
1:00 pm
4:00 pm
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Working with many of the HPC systems in Ontario involves using the Linux command line. This provides a very powerful interface, but it can be quite daunting for the uninitiated. In this half-day session, you can become initiated with basic commands in the Linux environment. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 16th Sep
1:00 pm
2:00 pm
Add event to google
In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing.The goal of this course is to prepare graduate 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.Topics include: R programming, version control, automation, modular programming and scientific visualization.Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.This course is part of the IMS graduate program and to be taught at the UofT St. George campus. Part of Introduction to Computational BioStatistics with R, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada