Research computing

Further research computing courses

Courses tagged with "Research computing"

In this half-day session, you will be taught how to use python for research computing purposes. Topics include: the basics of python, automation, numpy, scipy, file i/o, and visualization. -- Prerequisite: some programming experience in another programming language.
Category: Data Science
Date: Tue., 25 Jun. 2019 - 9:30 am
Data Science Credits: 3
This session offers a brief introduction to R, with a focus on data analysis and statistics. Part of the 2015 Ontario HPC Summer School.
Teacher: SciNet Team
Category: Data Science
Date: Mon., 13 Jul. 2015 - 9:30 am
This half-day session offers a brief introduction to R, with a focus on data analysis and statistics. We will discuss and introduce the following topics: the R interface, primitive data types, lists, vectors, matrices, and data frames - a crucial data type in data analysis and a trademark in the R language. Advanced topics to be covered include: basics statistics and function creation; *apply family functions; and basics of scripting. Time depending we may cover and discuss some data management strategies (ie. saving results, workspaces and installing packages) and basic plotting.
Teacher: Marcelo Ponce
Category: Data Science
Date: Tue., 12 Jun. 2018 - 9:30 am
This half-day session offers a brief introduction to R, with a focus on data analysis and statistics. We will discuss and introduce the following topics: the R interface, primitive data types, lists, vectors, matrices, and data frames - a crucial data type in data analysis and a trademark in the R language. Advanced topics to be covered include: basics statistics and function creation; *apply family functions; and basics of scripting. Time depending we may cover and discuss some data management strategies (ie. saving results, workspaces and installing packages) and basic plotting. -- Prerequisite: some programming experience in another programming language.
Teacher: SciNet Team
Category: Data Science
Date: Mon., 24 Jun. 2019 - 1:30 pm
Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
Category: Data Science
Date: Wed., 19 Feb. 2020 - 1:00 pm
Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
Teacher: SciNet Team
Category: Data Science
Start date: 21 Sep. 2020
End date: 25 Sep. 2020

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 10:00-11:30am in ESB142, and Thursdays 12:00-1:30pm in MS2173.

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: 9 Sep. 2025
End date: 27 Nov. 2025
Scientific Computing Credits: 8
Data Science Credits: 28

An introduction to concepts and techniques in parallel computing with compiled languages, e.g., C, C++ or Fortran. Both OpenMP and MPI will be introduced.

Format: Virtual

Start date: 2 Dec. 2024
End date: 6 Dec. 2024
High Performance Computing Credits: 4

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.

Format: Virtual

Teacher: Bruno Mundim
Start date: 23 Sep. 2024
End date: 27 Sep. 2024
High Performance Computing Credits: 4

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.

Format: Virtual

Teacher: Bruno Mundim
Start date: 25 Sep. 2023
End date: 29 Sep. 2023
High Performance Computing Credits: 4

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

An introduction to basic concepts of High-Performance Computing (HPC).  This is intended to be a high-level primer for those largely new to HPC. Topics 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.

Start date: 5 Jul. 2021
End date: 9 Jul. 2021
High Performance Computing Credits: 4

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

Note: this event has been moved from April 8th to April 15th.

Format: Virtual

Date: Mon., 15 Apr. 2024 - 1:00 pm
Scientific Computing Credits: 3

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

Format: Virtual

Date: Mon., 6 Nov. 2023 - 1:00 pm
Scientific Computing Credits: 3

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

Format: Virtual

Date: Mon., 14 Apr. 2025 - 1:00 pm
Scientific Computing Credits: 3

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

Format: Virtual

Date: Mon., 20 Jan. 2025 - 1:00 pm
Scientific Computing Credits: 3

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

Format: Virtual

Date: Fri., 25 Oct. 2024 - 1:00 pm
Scientific Computing Credits: 3

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

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.

Format: In-person and On-line (zoom)

Location: SciNet Teaching Room, 11th floor on the MaRS West tower,  661 University Ave., Suite 1140, Toronto, ON M5G 1M1

Time:  1:00 pm - 4:00 pm EST


Date: Mon., 17 Apr. 2023 - 1:00 pm
Scientific Computing Credits: 3

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.

Format: Virtual

Time:  1:00 pm - 4:00 pm EST

Date: Mon., 3 Feb. 2025 - 1:00 pm
Scientific Computing Credits: 3

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 usage of WSL and Docker Desktop on Windows. 
Format: In-person

Date: Mon., 13 Feb. 2023 - 1:00 pm
Scientific Computing Credits: 3

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

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: Tue., 22 Feb. 2022 - 1:00 pm
Scientific Computing Credits: 3

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
Increase you Linux (bash) command line productivity. Requires some basic Linux command line experience.
Date: Wed., 23 Oct. 2019 - 1:00 pm
Learn about research computing even with little programming experience. Covers programming in python, best practices and visualization. Some experience with python is required. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
Start date: 5 Nov. 2019
End date: 5 Dec. 2019
Master the Linux command line and its processes; explore filesystems to check directory status and access modification times; create and manage user and group passwords securely. -- Prerequisite: some understanding of Linux CLI, be able to open a terminal, and use simple commands
Teacher: SciNet Team
Date: Mon., 24 Jun. 2019 - 10:45 am
This session gives an introduction to Julia, a programming language that was designed from the beginning for high performance. -- Prerequisite: some programming experience in another programming language.
Teacher: SciNet Team
Date: Fri., 28 Jun. 2019 - 9:30 am
Scientific Computing Credits: 1
High Performance Computing Credits: 2
Increase you Linux (bash) command line productivity. Requires some basic Linux command line experience.
Teacher: Bruno Mundim
Date: Wed., 10 Apr. 2019 - 1:00 pm
Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience
Date: Wed., 13 Feb. 2019 - 1:00 pm
Learn how to write bash script, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
Teacher: SciNet Team
Date: Wed., 17 Oct. 2018 - 1:00 pm
Learn about research computing even with little programming experience. Covers programming in python, best practices and visualization. Some experience with python is required. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
Start date: 6 Nov. 2018
End date: 6 Dec. 2018
Part of the 2017 Ontario Summer School.
Teacher: SciNet Team
Date: Tue., 25 Jul. 2017 - 9:30 am
Learn how to write bash script, use environment variables, how to control process, and much more. Requires some linux basic command line experience.
Teacher: SciNet Team
Date: Wed., 25 Oct. 2017 - 1:00 pm
This workshop is part of the 2017 Chemical BioPhysics Symposium. A basic introduction to the R programming language will be covered. Participants willing to follow along examples presented, should bring a laptop with R or Rstudio installed.
Teacher: Marcelo Ponce
Date: Fri., 5 May 2017 - 10:00 am
Part of the 2016 Ontario Summer School, this half-day session offers a brief introduction to R, with a focus on data analysis and statistics.
Teacher: SciNet Team
Date: Tue., 12 Jul. 2016 - 9:30 am
Learn how to create Graphical User Interfaces (GUIs) in Python with Tkinter.
Teacher: Erik Spence
Date: Tue., 9 Sep. 2014 - 2:00 pm
Scientific Computing Credits: 2
Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. (mini/modular grad course)
Teacher: SciNet Team
Start date: 4 Nov. 2014
End date: 27 Nov. 2014
Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization.
Start date: 5 Nov. 2013
End date: 28 Nov. 2013

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.

Start date: 21 Jun. 2021
End date: 25 Jun. 2021

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

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

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.

This is an in-person course.

Start date: 9 Jan. 2024
End date: 12 Apr. 2024
Scientific Computing Credits: 28
High Performance Computing Credits: 8

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.

This is an in-person course.

Start date: 7 Jan. 2025
End date: 1 May 2025
Scientific Computing Credits: 28
High Performance Computing Credits: 8

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, ...).

There are three ways to follow this course:

  • As a graduate course for UofT PhD and MSc students. Students that wish to do so, should not self-enrol here, but enrol using ACORN/ROSI.
  • As a SciNet or Alliance user taking the course for SciNet certificate credits; for that, enrol on this site (note: limited spots).
  • As an auditor following along with recordings but not submitting assignments; for this no enrollment is needed.

This is a hybrid in-person/virtual course.  

Start date: 1 Jan. 2026
End date: 1 May 2026
Scientific Computing Credits: 28
High Performance Computing Credits: 8
Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
Start date: 3 Nov. 2015
End date: 26 Nov. 2015
Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). The course can be taken as a mini/modular graduate course by Physics students. This course can also be taken by PhD students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.
Start date: 22 Nov. 2016
End date: 15 Dec. 2016
Learn about research computing even with little programming experience. Covers programming in python, best practices and visualization. Some experience with python is required. The course will last 4 weeks with 2 lectures per week (mini/modular grad course).
Start date: 7 Nov. 2017
End date: 30 Nov. 2017

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., 12 Dec. 2022 - 1:00 pm
Scientific Computing Credits: 3

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.

Format: Virtual

Date: Mon., 27 May 2024 - 1:00 pm
Scientific Computing Credits: 3