Computational Methods For Data Science.

Catalog description

This class is a combination of mathematical theory and practical numerical implementation and experimentation within the context of data science. Students are expected to be familiar with programming concepts, and the class will focus on numerical computing using those concepts. Programming languages are up to the instructor, but expect a hybrid approach with a post-processing part that involves visualization/graphics and a lower-level approach in languages such as C++, Julia, Python, etc., depending on the instructor. Mixing languages is encouraged. While COMP 110 or COMP 116 are required as prerequisites, programming proficiency beyond these courses is preferred.