# PHY407H1: Computational Physics

Course Title | PHY407H1 |
---|---|

Session | fall |

Year of Study | 4th year |

Time and Location |
12L: M12, Room: MP137 36P: W9-12, Room: tba |

Christopher
Lee |

#### Official Description

This is an introduction to scientific computing in physics. Students will be introduced to computational techniques used in a range of physics research areas. By considering select physics topics, students will learn computational methods for function analysis, ODEs, PDEs, eigenvalue problems, non-linear equations and Monte Carlo techniques. A physicist's "computational survival toolkit" will also be developed to introduce students to topics such as command line programming, bash scripting, debugging, solution visualization, computational efficiency and accuracy. The course is based on python and will involve working on a set of computational labs throughout the semester as well as a final project.

Prerequisite: | PHY224H1/PHY254H1 |
---|---|

Co-requisite: | Any third or fourth year course in Physics. |

Exclusion: | PHY307H1 |

Recommended preparation: | n.a. |

BR=5 , DR=SCI | |

Textbook |
"Computational Physics" by Mark Newman |

## Additional Notes

This is an introduction to scientific computing in physics. Students will be introduced to computational techniques used in a range of physics research areas. By considering select physics topics, students will learn computational methods for function analysis, ODEs, PDEs, eigenvalue problems, non-linear equations and Monte Carlo techniques. A physicist's "computational survival toolkit" will also be developed to introduce students to topics such as command line programming, bash scripting, debugging, solution visualization, computational efficiency and accuracy. The course is based on python and will involve working on a set of computational labs throughout the semester as well as a final project.