PHY1610

Scientific Computing for Physicists
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Courses tagged with "PHY1610"

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: 11 Apr. 2025
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 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 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 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 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 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 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 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 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
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