Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: CS 3200 AND CS 3505 AND MATH 3160.
Description
An introduction to classical and modern computational and data science methods, with a focus on their theoretical and algorithmic development as well as their implementation. Topics include numerical linear algebra, numerical approximation methods such as interpolation and linear regression, and optimization.