A new theory course is being offered this winter qtr by James Lee, 490Z1 a Toolkit for Modern Algorithms.
SLN 22130
T,TH: 1130-12:50
Brief description:
This course provides a rigorous introduction to the principles of modern algorithm design. Topics include distributed and locality-sensitive hashing, dimension reduction, linear programming, gradient descent and regression, sampling and estimation, and spectral methods (principal components analysis, singular value decomposition, spectral clustering).
Students should feel comfortable with probability and linear algebra. The course will have a programming component.
It should be stressed that this is for the more mathematically-inclined CSE students (or simply those looking for a challenging course).