PHY1610

Scientific Computing for Physicists
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Courses tagged with "PHY1610"

PHY1610 Scientific Computing for Physicists (Winter 2026)

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.  

Teacher: Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 1 Jan. 2026
End date: 1 May 2026
Scientific Computing Credits: 28
High Performance Computing Credits: 8

PHY1610 Scientific Computing for Physicists (Winter 2022)

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.

Teacher: Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 11 Jan. 2022
End date: 1 May 2022
Scientific Computing Credits: 28
High Performance Computing Credits: 8

PHY1610 Scientific Computing for Physicists (Winter 2016)

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, ...).
Teachers: Scott Northrup, Marcelo Ponce, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 12 Jan. 2016
End date: 7 Apr. 2016

PHY1610 Scientific Computing for Physicists (Winter 2017)

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, ...).
Teachers: Scott Northrup, Marcelo Ponce, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 5 Jan. 2017
End date: 4 Apr. 2017

PHY1610 Scientific Computing for Physicists (Winter 2018)

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, ...).
Teachers: Alexey Fedoseev, Bruno Mundim, Marcelo Ponce, Erik Spence, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 4 Jan. 2018
End date: 3 Apr. 2018

PHY1610 Scientific Computing for Physicists (Winter 2019)

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, ...).
Teachers: Marcelo Ponce, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 8 Jan. 2019
End date: 4 Apr. 2019

PHY1610 Scientific Computing for Physicists (Winter 2020)

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, ...).
Teachers: Marcelo Ponce, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 7 Jan. 2020
End date: 30 Apr. 2020

PHY1610 Scientific Computing for Physicists (Winter 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, ...).
Teachers: Marcelo Ponce, Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 12 Jan. 2021
End date: 8 Apr. 2021

PHY1610 Scientific Computing for Physicists (Winter 2023)

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.

Teacher: Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 10 Jan. 2023
End date: 30 Apr. 2023
Scientific Computing Credits: 28
High Performance Computing Credits: 8

PHY1610 Scientific Computing for Physicists (Winter 2024)

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.

Teacher: Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 9 Jan. 2024
End date: 12 Apr. 2024
Scientific Computing Credits: 28
High Performance Computing Credits: 8

PHY1610 Scientific Computing for Physicists (Winter 2025)

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.

Teacher: Ramses van Zon
Category: Scientific Computing (University Credit)
Start date: 7 Jan. 2025
End date: 1 May 2025
Scientific Computing Credits: 28
High Performance Computing Credits: 8
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