Upcoming SciNet Events

SciNet EventsRefresh calendars Add to google calendar
April,2021
Mon 12th Apr
1:00 pm
2:00 pm
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This course is an introductory course in programming utilizing the R Statistical Language.The course is restricted to student of the UofT's Biochemistry departments. Students interested should register though their graduate coordinator. Part of Introduction to Programming with R, Location: SciNet Online
Wed 14th Apr
10:00 am
11:30 am
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A quick introduction how to use SciNet and the Niagara and Mist supercomputers. Location: SciNet Online
Wed 14th Apr
12:00 pm
1:00 pm
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Monthly (virtual) user meeting at SciNet with user discussion and a TechTalk. The topic on 14 April 2021 will be the new "Rouge" cluster at SciNet, donated as part of the AMD COVID-19 HPC Fund. Location: SciNet Online
Mon 19th Apr
1:00 pm
2:00 pm
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This course is an introductory course in programming utilizing the R Statistical Language.The course is restricted to student of the UofT's Biochemistry departments. Students interested should register though their graduate coordinator. Part of Introduction to Programming with R, Location: SciNet Online
Mon 26th Apr
1:00 pm
2:00 pm
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This course is an introductory course in programming utilizing the R Statistical Language.The course is restricted to student of the UofT's Biochemistry departments. Students interested should register though their graduate coordinator. Part of Introduction to Programming with R, Location: SciNet Online
Tue 27th Apr
11:00 am
12:00 pm
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This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 29th Apr
11:00 am
12:00 pm
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This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
May,2021
Mon 3rd May
1:00 pm
2:00 pm
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This course is an introductory course in programming utilizing the R Statistical Language.The course is restricted to student of the UofT's Biochemistry departments. Students interested should register though their graduate coordinator. Part of Introduction to Programming with R, Location: SciNet Online
Tue 4th May
11:00 am
12:00 pm
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This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 6th May
11:00 am
12:00 pm
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This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online