Upcoming SciNet Events

SciNet EventsRefresh calendars Add to google calendar
May,2017
Tue 30th May
10:00 am
3:00 pm
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This workshop will introduce neural network programming concepts, theory and techniques. The level of the material will be introductory, intended for those with no experience with neural networks. The programming language will be Python 2.7; experience with Python programming will be assumed. The Keras neural network framework, with a Theano back end, will be used for more-advanced programming; no experience with Keras or Theano will be expected. Students should come with the following Python packages installed on their laptops: numpy, matplotlib, scikit-learn, theano (version 0.9.0 or greater), keras. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
June,2017
Wed 14th Jun
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 Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 21st Jun
10:00 am
5:00 pm
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Principles and uses of relational databases with practical examples using python and sqlite. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 26th Jun
9:00 am
to Fri 30th Jun
5:00 pm
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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 . Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
July,2017
Mon 24th Jul
9:30 am
12:30 pm
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A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
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1 King's College Circle, Toronto, M5S 1A8, Canada
Mon 24th Jul
1:30 pm
4:30 pm
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A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
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1 King's College Circle, Toronto, M5S 1A8, Canada
Mon 24th Jul
1:30 pm
4:30 pm
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A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
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1 King's College Circle, Toronto, M5S 1A8, Canada
Mon 24th Jul
1:30 pm
4:30 pm
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A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
9:30 am
12:30 pm
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A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 25th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 26th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Thu 27th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Fri 28th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Fri 28th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Fri 28th Jul
9:30 am
12:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Fri 28th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2172
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Fri 28th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2170
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Fri 28th Jul
1:30 pm
4:30 pm
Add event to google
A week-long, three-stream intensive workshop on high performance computing, parallel programming, visualization and data science. Up to 30 credits towards SciNet certificates Part of Compute Ontario Summer School - Central, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
August,2017
Wed 30th Aug
9:00 am
4:00 pm
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A Python Bootcamp is given to partipantss of the Quantum Machine Learning program by Creative Destruction Labs Part of CDL Python Bootcamp, Location: Rotman School of Management Rm 151
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105 St. George St., Toronto, M5S 3E6, Canada
Thu 31st Aug
9:00 am
4:00 pm
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A Python Bootcamp is given to partipantss of the Quantum Machine Learning program by Creative Destruction Labs Part of CDL Python Bootcamp, Location: Rotman School of Management Rm 151
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105 St. George St., Toronto, M5S 3E6, Canada
September,2017
Fri 1st Sep
9:00 am
4:00 pm
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A Python Bootcamp is given to partipantss of the Quantum Machine Learning program by Creative Destruction Labs Part of CDL Python Bootcamp, Location: Rotman School of Management Rm 151
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105 St. George St., Toronto, M5S 3E6, Canada
Mon 11th Sep
1:00 pm
2:00 pm
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Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 12th Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Medical Sciences Building, MS2173
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1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 13th Sep
10:00 am
11:30 am
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In about 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 13th Sep
12:00 pm
1:00 pm
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Pizza, user discussion, and a tech talk:ChIP-Seq analysis of the Interactive Bromodomain 1 protein (Ibd1) in Tetrahymena thermophila, by PhD student Alejandro Saettone (Ryerson University) Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 13th Sep
1:00 pm
2:00 pm
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Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 14th Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Rosebrugh Building, RS211
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164 College Street, Toronto
Mon 18th Sep
1:00 pm
2:00 pm
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Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 19th Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Medical Sciences Building, MS2173
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1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 20th Sep
1:00 pm
2:00 pm
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Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 21st Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Rosebrugh Building, RS211
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164 College Street, Toronto
Mon 25th Sep
10:00 am
3:00 pm
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This workshop will introduce neural network programming concepts, theory and techniques. The level of the material will be introductory, intended for those with no experience with neural networks. The programming language will be Python 2.7; experience with Python programming will be assumed. The Keras neural network framework, with a Theano back end, will be used for more-advanced programming; no experience with Keras or Theano will be expected. Students should come with the following Python packages installed on their laptops: numpy, matplotlib, scikit-learn, theano (version 0.9.0 or greater), keras. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 25th Sep
1:00 pm
2:00 pm
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Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Boardroom MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 26th Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Medical Sciences Building, MS2173
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1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 27th Sep
10:00 am
12:00 pm
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Learn the basics of how to use the unix shell in two hours. 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
Wed 27th Sep
1:00 pm
2:00 pm
Add event to google
Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 28th Sep
11:00 am
12:00 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 Clinical BioStatistics, Location: Rosebrugh Building, RS211
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164 College Street, Toronto
October,2017
Mon 2nd Oct
11:00 am
12:00 pm
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This class will review advanced neural network programming theory and architectures. The level of the material will not be introductory, experience with neural networks will be assumed. This class is intended to continue the material covered in DAT111 (Introduction to Neural Network Programming). Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 2nd Oct
1:00 pm
2:00 pm
Add event to google
Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 3rd Oct
11:00 am
12:00 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 Clinical BioStatistics, Location: Medical Sciences Building, MS2173
Show in Google map
1 King's College Circle, Toronto, M5S 1A8, Canada
Wed 4th Oct
1:00 pm
2:00 pm
Add event to google
Explore and use advanced examples of parallel computing in scientific research (mini/modular graduate course). Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 5th Oct
11:00 am
12:00 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 Clinical BioStatistics, Location: Rosebrugh Building, RS211
Show in Google map
164 College Street, Toronto
Tue 10th Oct
11:00 am
12:00 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 Clinical BioStatistics, Location: Medical Sciences Building, MS2173
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1 King's College Circle, Toronto, M5S 1A8, Canada
Tue 10th Oct
1:00 pm
2:00 pm
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New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises. Part of Introduction to Programming with Python, Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 11th Oct
12:00 pm
1:30 pm
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Compute Canada has announced its competition for the 2018 compute and storage resource allocation (RAC).PIs of groups that require more than a default account, should consider submitting a proposal. The deadline is November 16th, 2017.If you're new to the RAC application process, or want to know what is different this year, SciNet will be broadcasting the online information session regarding the application process.Users can participate also online visiting the previous website and registering online.SciNet analyst will be available on site during the online information session, and will answer any questions you might have. Part of 2018 RAC Information Session, Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 12th Oct
11:00 am
12:00 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 Clinical BioStatistics, Location: Rosebrugh Building, RS211
Show in Google map
164 College Street, Toronto