SciNet External Courses

Project Jupyter is a non-profit, open-source project that supports interactive data science and scientific computing across programming languages. This session will provide a basic overview of Jupyter, the use of Jupyter Notebooks and Labs to create interactive computing environments and introduce the resources available through SciNet to support JupyterHub notebook sessions. The session will explore the use of Jupyter from the perspective of different use cases.

This event was organized by the Centre for Research Innovation and Support (CRIS) at the University of Toronto. 
Teacher: SciNet Team
Date: Wed, 10 Feb 2021 - 10:30 am
This workshop is part of the 2020 UofT's Toronto Biomedical Conference (ToBE) This workshop will provide an introduction to some of the basics elements and concepts in data and scientific visualization using several Python's packages, i.e. matplotlib, plotly. The workshop will cover basics of plotting: 1D, 2D and 3D plotting, professional plotting, animations and movie generation. We will use Python 3, and attendees are expected to be familiar with the Python programming language but extensive programming experience is not required - we will mainly be calling functions in existing packages, not writing large amounts of code.
Teacher: Marcelo Ponce
Date: Fri, 25 Jun 2021 - 12:28 pm
Short workshop aimed to discuss the Basics of Python, basic plotting capabilities, curve fitting, pandas and data frames.
Teacher: SciNet Team
Date: Mon, 21 Oct 2019 - 3:30 pm
Meetings for visualization enthusiasts to discuss and share ideas about visualization and novel data representations.
Teacher: Marcelo Ponce
Start date: 27 Sep 2019
End date: 29 Nov 2019
This summer school will familiarize the best students in computational sciences with major state-of-the-art aspects of HPC for a variety of scientific disciplines, catalyze the formation of networks, provide advanced mentoring, facilitate international exchange and open up further career options. Leading Canadian, European, Japanese and American computational scientists and HPC technologists will offer instruction in parallel sessions on a variety of topics as: HPC challenges in major scientific disciplines, HPC programming proficiencies, Performance analysis and profiling, Software engineering, Numerical libraries, Big data analysis and analytics, Machine learning, Scientific visualization, and Canadian, European, Japanese and US HPC infrastructure. This events was originally planned to take place in July 2020 but has been moved to July 2021 instead.
Teacher: SciNet Team
Start date: 18 Jul 2021
End date: 30 Jul 2021
The Institute for Data Intensive Engineering and Sciences will jointly host a Visualization Hackathon with the University of Toronto. The Hackathon will be on Friday & Saturday, January 25 & 26, 2019 from 9 AM 5 PM (approx), with sessions and presentations at both Homewood Campus at JHU, and SciNet headquarters at the University of Toronto. We will focus on topics and techniques relevant to data-intensive and computationally-intensive research. This event will feature some presentations on techniques and tools, but will be primarily hands on and participant driven. Registration:
Teacher: Marcelo Ponce
Start date: 25 Jan 2019
End date: 26 Jan 2019
A virtual HPC summer school, organized by a number of the US XSEDE sites, also hosted at SciNet. Details at .
Teacher: SciNet Team
Start date: 26 Jun 2017
End date: 30 Jun 2017
Ontario's preeminent HPC event, where professors, postdoctoral, graduate, and undergraduate students gather to learn about each other's high performance computing related work.
Teacher: SciNet Team
Date: Thu, 21 May 2015 - 9:00 am
Parallel Programming and Optimization with Intel Xeon Phi Coprocessors, Developer Training Event, Toronto
Start date: 19 May 2015
End date: 20 May 2015

The Compute Ontario Summer School is an annual online training event on a variety of topics in advanced research computing, high-performance computing and research data management.  The 2023 summer school will offer 30 courses, ranging in length from 1 to 18 hours, running in two parallel streams. 

Start date: 12 Jun 2023
End date: 28 Jun 2023