Astro 410: Computational Astrophysics

Fall 2026
9:05-10:20 AM, Tuesday and Thursday
Davey Lab 541
Instructor: John (J. J.) Zanazzi
Email: jxz224@psu.edu
Teaching Assistant: TBD
Email: TBD
Office Hours: TDB

Course Description

Computational methods underpin almost all research methods in astronomy and astrophysics, from data analysis used in observations, to numerical simulations used in theory. The purpose of this course is not only to survey these methods, but gain an appreciation for good software practices in astrophysical research. Topics to be covered range from an introduction to scientific computing with python, to solving systems of linear equations, algorithms used in data analysis and modelling, ordinary and partial differential equation solvers, with machine learning touched upon at the end. Direct connections to astronomical disciplines will be made through the course materials.

Acknowledgements

In addition to the linked course resources, we are grateful to Professors Shane Davis, Eric Ford, and Cindy Yuexing Gulis (listed alphabetically) for input and shared material used in their own courses.