Computational Astrophysics

Catalog description

This course offers a comprehensive introduction to common computational methods for data analysis and numerical simulations in astronomy and astrophysics. It covers a wide range of topics, such as solving equations and linear algebra systems, data analysis and modeling, numerical simulations, and machine learning. This course provides students with theoretical backgrounds in computational methods, active learning experience in class with hands-on activities implementing algorithms and running computer programs, and practical training with interesting assignments and projects solving real-world problems in astronomical data, gravitation, planetary and stellar systems, galaxy formation and evolution, large-scale structures, and cosmology.