Computational Physics

Catalog description

This course provides an introduction to numerical methods that are commonly used to approach physical problems. Students in the course will gain both an understanding of the construction of several common algorithms as well as hands-on experience applying these tools to routine problems such as finding, optimization, matrix manipulation, differential equations, and applications to calculus. The course includes collaborative projects meant to simulate "real world" coding tasks and provides physics students with a practical background in scientific computing. As time allows, optional additional topics could include machine learning, databases, and advanced data visualization.