Classes that are not yet complete.

In this workshop, spread out over three days within one week, learn about the uses of various databases in the context of scientific computing.   

  • Start date: 6 Dec 2021
  • End date: 10 Dec 2021
Data Science Credits: 4
Requires University Enrolment: No

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

Teacher: Michael Nolta
  • Date: Wed, 8 Dec 2021 - 12:00 am
High Performance Computing Credits: 1
Requires University Enrolment: 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: 11 Jan 2022
  • End date: 1 May 2022
Scientific Computing Credits: 28
High Performance Computing Credits: 8
Requires University Enrolment: Yes

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.

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

Learn how to protect your research using cybersecurity techniques. During the three days of this workshop, we will cover various aspects of cybersecurity to help you protect your research! Cybersecurity concepts, cyberattack models, as well as best practices to protect your research will be reviewed. We will talk about cryptography and you will get to apply the concepts to a real life scenario using SSH keys. Finally, we will discuss cybersecurity in the context of human research data and the Research Ethics Board.  The workshop will be a mix of theory and practical exercises. We hope you will learn something new and, more importantly, enjoy the sessions!

Sessions will be delivered in English, but we will have the ability to respond to questions in French. The lesson material will be available in English. A French version of this workshop will take place at a later date.

This workshop is part of the National Training series of the Compute Canada Federation.  Registration is handled at

https://www.eventbrite.ca/e/ccf-national-training-securing-your-research-on-compute-clusters-and-cloud-tickets-173830691277

  • Start date: 29 Nov 2021
  • End date: 3 Dec 2021
Scientific Computing Credits: 4
Requires University Enrolment: 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. Prior knowledge of programming (in any language) is recommended to be able to follow the exercise part of the workshop.
Teacher: Yohai Meiron
  • Date: Wed, 24 Nov 2021 - 12:00 am
High Performance Computing Credits: 3
Requires University Enrolment: No

Language: English (questions in English and French)

During this session, we will answer any question you have regarding the SSH keys pilot.
We will also provide assistance if you run into issues during the creation of your SSH key pair.
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Session question/réponse clés SSH

Langage: Anglais (questions en Anglais et Français)

Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. 
Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin.

  • Date: Mon, 22 Nov 2021 - 12:00 am
Requires University Enrolment: 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.

  • Date: Wed, 17 Nov 2021 - 12:00 am
Scientific Computing Credits: 3
Requires University Enrolment: No

Language: English (questions in English and French)

During this session, we will answer any question you have regarding the SSH keys pilot.
We will also provide assistance if you run into issues during the creation of your SSH key pair.
---
Session question/réponse clés SSH

Langage: Anglais (questions en Anglais et Français)

Pendant cette session, nous répondrons à vos questions concernant le pilote pour les clés SSH. 
Nous serons également présents pour vous aider dans la création de votre paire de clés SSH, si besoin.

  • Date: Mon, 15 Nov 2021 - 12:00 am
Requires University Enrolment: No

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 due to be current CoViD19 pandemic, it will be taught fully online.

  • Start date: 14 Sep 2021
  • End date: 2 Dec 2021
Scientific Computing Credits: 8
Data Science Credits: 28
Requires University Enrolment: Yes