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.
Teacher: SciNet Team
  • Date: Wed, 10 Feb 2021 - 10:30 am
Requires University Enrolment: No
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
Requires University Enrolment: No
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
Requires University Enrolment: No
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
Requires University Enrolment: No
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
Requires University Enrolment: No
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. http://idies.jhu.edu/idies-to-co-host-visualization-hackathon-with-university-of-toronto/ http://idies.jhu.edu/news-events/visualization-hackathon/ Registration: http://idies.jhu.edu/news-events/visualization-hackathon/#registration-form
Teacher: Marcelo Ponce
  • Start date: 25 Jan 2019
  • End date: 26 Jan 2019
Requires University Enrolment: No
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 .
Teacher: SciNet Team
  • Start date: 26 Jun 2017
  • End date: 30 Jun 2017
Requires University Enrolment: No
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
Requires University Enrolment: No
Parallel Programming and Optimization with Intel Xeon Phi Coprocessors, Developer Training Event, Toronto
  • Start date: 19 May 2015
  • End date: 20 May 2015
Requires University Enrolment: No