• Welcome to the Education Site for SciNet, the High Performance Computing Consortium at the University of Toronto. Here you will find the course materials for all the classes and courses taught by SciNet. 

    Our training covers many topics in Research Computing and Data Science, in a variety of forms, such as webinars, workshops, and multi-week courses. Some events are online, while others are in-person, but many of the latter are also broadcast and recorded.  

    Access to slides and recordings is open to anyone, but to register for courses and to work towards a SciNet certificate, login is required.  Apart from the University of Toronto graduate courses in the list, all training events are free of charge.


Available courses

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.
Format: In-person. Sessions will be recorded.

Start date: 3 Oct 2022
End date: 4 Nov 2022
Scientific Computing Credits: 8
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person, as well as broadcast and recorded.

Date: Wed, 12 Oct 2022 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 12 Oct 2022 - 12:00 pm
: No

Working with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX 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 this coursse which will cover basic commands. It could be a great boon for your productivity.
Format: In person, but also broadcast and recorded.

Date: Fri, 14 Oct 2022 - 1:00 pm
Scientific Computing Credits: 3
: No

In three sessions over the course of one week, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board.     This session will be a mix of theory and practical exercises.  We hope you will learn something new and, most importantly, enjoy the sessions! 
The format is virtual, but for the second session there is the option to attend in person in the SciNet Boardroom to get in-person help with setting up ssh key authentication.

Start date: 24 Oct 2022
End date: 28 Oct 2022
Scientific Computing Credits: 4
: No
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person in the SciNet Teaching Room, also broadcast and recorded.
Teacher: Michael Nolta
Date: Wed, 9 Nov 2022 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 9 Nov 2022 - 12:00 pm
: No

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. 
Format: Online (Zoom)

Teacher: Bruno Mundim
Start date: 21 Nov 2022
End date: 25 Nov 2022
High Performance Computing Credits: 4
: No

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration.  In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.
Format: In-person, but also will be broadcast and recorded.

Teacher: James Willis
Date: Mon, 21 Nov 2022 - 1:00 pm
Data Science Credits: 3
: No

Managing large amount of files can be a challenging task. This course explores options such as using Apptainer Overlay and SQLite to pack and reduce large number of files to few files.
Format: On-line (Zoom).

Date: Mon, 28 Nov 2022 - 1:00 pm
Data Science Credits: 3
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person as well as broadcast and recorded.

Teacher: James Willis
Date: Wed, 14 Dec 2022 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 14 Dec 2022 - 12:00 pm
: No

Working with Advanced Research Computing and High Performance Computing systems involves using the Linux command line. This workshop will cover Linux commands to improve your productivity on the command line. 
Format: In person, but also broadcast and recorded.

Date: Mon, 19 Dec 2022 - 1:00 pm
Scientific Computing Credits: 3
: No

This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...).

This is a graduate course that can be taken for graduate credit by UofT PhD and MSc students. Students that wish to do so, should enrol using ACORN/ROSI.

Start date: 10 Jan 2023
End date: 30 Apr 2023
Scientific Computing Credits: 28
High Performance Computing Credits: 8
: Yes

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person as well as broadcast and recorded.

Teacher: Erik Spence
Date: Wed, 11 Jan 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues

Teacher: SciNet Team
Date: Wed, 11 Jan 2023 - 12:00 pm
: No

Working with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX 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 this coursse which will cover basic commands. It could be a great boon for your productivity.

Format: In person, but also broadcast and recorded.

Date: Mon, 16 Jan 2023 - 1:00 pm
Scientific Computing Credits: 3
: No

Python is a wonderful programming language, but it is not the fastest.  If execution speed is an issue for your project, it can be worthwhile moving to a so-called compiled language such as C++.  This three-session workshop is intended to get Python programmers started with the basics of C++.
Format: TBD.

Start date: 23 Jan 2023
End date: 27 Jan 2023
Scientific Computing Credits: 4
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In person, as well as broadcast and recorded.

Teacher: Bruno Mundim
Date: Wed, 8 Feb 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues. 

Teacher: SciNet Team
Date: Wed, 8 Feb 2023 - 12:00 pm
: No

Windows Subsystem for Linux (WSL) is Microsoft's implementation of Linux container on Windows. WSL allows users to run various Linux distributions inside Windows and provides fully functional Linux environments for routine tasks. This course explores the use of WSL and Docker Desktop on Windows. 
Format: TDB

Date: Mon, 13 Feb 2023 - 1:00 pm
Scientific Computing Credits: 3
: No

An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.
Format: TBD

Teacher: Yohai Meiron
Start date: 21 Feb 2023
End date: 24 Feb 2023
High Performance Computing Credits: 6
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: TBD (hopefully In-person), but also broadcast and recorded.

Teacher: Yohai Meiron
Date: Wed, 8 Mar 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 8 Mar 2023 - 12:00 pm
: No

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
Format: In-person, but will also be broadcast and recorded.

Date: Mon, 13 Mar 2023 - 1:00 pm
Scientific Computing Credits: 3
: No

Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.
Format: In person, but also broadcast and recorded.

Date: Mon, 27 Mar 2023 - 1:00 pm
High Performance Computing Credits: 3
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person, as well as broadcast and recorded.

Date: Wed, 12 Apr 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 12 Apr 2023 - 12:00 pm
: No

GNU tools provide powerful commands that facilitate the usage of HPC systems. This course explores some efficient ways of working with bash shell for routine tasks. It is complementary to the "Advanced Linux Command Line I". Attending this class requires basic knowledge of GNU/Linux shell. 
Format: TBD

Date: Mon, 17 Apr 2023 - 1:00 pm
Scientific Computing Credits: 3
: No

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.  Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.
Format: In-person, but lectures will be broadcast and recorded as well.

Teacher: Erik Spence
Start date: 25 Apr 2023
End date: 1 Jun 2023
Data Science Credits: 16
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person, as well as broadcast and recorded.

Teacher: James Willis
Date: Wed, 10 May 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 10 May 2023 - 12:00 pm
: No

Principles and uses of relational databases with practical examples using python and sqlite on the Niagara supercomputer.
Format: In-person, but will also be broadcast and recorded.

Date: Mon, 29 May 2023 - 1:00 pm
Data Science Credits: 3
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: In-person, as well as broadcast and recorded.

Teacher: Michael Nolta
Date: Wed, 14 Jun 2023 - 10:00 am
High Performance Computing Credits: 1
: No

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

Teacher: SciNet Team
Date: Wed, 14 Jun 2023 - 12:00 pm
: No

Container computing is gradually changing the way researchers are developing, sharing, and running software applications. Apptainer (formerly called Singularity) is gaining popularity in HPC for its performance, ease of use, portability,  and security. In this course, we will explore: what is a container, why use a container, and how to use and create one.
Format: On-line (Zoom).

Date: Mon, 26 Sep 2022 - 1:00 pm
Scientific Computing Credits: 3
: No

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.
Format: Online

Date: Wed, 14 Sep 2022 - 10:00 am
High Performance Computing Credits: 1
: No

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.

Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.

Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.

Start date: 13 Sep 2022
End date: 29 Nov 2022
Scientific Computing Credits: 8
Data Science Credits: 28
: Yes

This course will provide an introduction to the theory, formalisms and algorithms of quantum computing.  The programming language will be Python; experience with Python will be assumed.  Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed.  The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used.  No experience with quantum computing will be expected.  Classes will be held, July 25, 27, 29, 12:30-3:30pm, in the SciNet Teaching room. Update: due to technical problems with the SciNet Teaching room, this class will be moved to the SciNet Boardroom.

Start date: 25 Jul 2022
End date: 29 Jul 2022
Scientific Computing Credits: 9
: No

Monthly SciNet user meetings, now virtual, with user discussion and a TechTalk.  The topic on May 11th, 2022 will be "Modern C++", by Yohai Meiron.

Abstract: C++ has existed for four decades, but has gone through especially significant changes in the 2010s with the advent of the Standard C++11 and beyond. We'll demonstrate some of the new language features, as well as the workflow and tools that make C++ an important programming language for scientific computing, and a lot of fun!

Date: Wed, 11 May 2022 - 12:00 pm
: No

A quick introduction on how to use SciNet and the Niagara and Mist supercomputers.

Teacher: Michael Nolta
Date: Wed, 11 May 2022 - 10:00 am
High Performance Computing Credits: 1
: No

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.  Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays.

Teacher: Erik Spence
Start date: 26 Apr 2022
End date: 2 Jun 2022
Data Science Credits: 16
: No

Monthly SciNet user meetings, now virtual, with user discussion and a TechTalk. The topic on April 13, 2022 will be "Data Management on Niagara", by Jaime Pinto.

Date: Wed, 13 Apr 2022 - 12:00 pm
: No

A quick introduction on how to use SciNet and the Niagara and Mist supercomputers.

Teacher: Bruno Mundim
Date: Wed, 13 Apr 2022 - 10:00 am
High Performance Computing Credits: 1
: No

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.

Date: Tue, 12 Apr 2022 - 1:00 pm
Scientific Computing Credits: 3
: No
An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for the assignment.
Teacher: Yohai Meiron
Start date: 4 Apr 2022
End date: 15 Apr 2022
High Performance Computing Credits: 6
: No

An introduction to basic concepts in High-Performance Computing (HPC).  This is intended to be a high-level primer for those largely new to HPC.  Topic will include motivation for HPC, available HPC resources, essential issues, problem characteristics as they apply to parallelism and a high-level overview of parallel programming models.

Teacher: Bruno Mundim
Start date: 21 Mar 2022
End date: 1 Apr 2023
High Performance Computing Credits: 4
: No