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