APM 567 - Algorithms and Complexity

(4 credits)

A general introduction to algorithm design and analysis, including study of the following algorithmic techniques: divide-andconquer, greedy methods, backtracking, preconditioning and precomputation, probabilistic and approximation algorithms. Topics covered also include: the fast Fourier transform, lower bound theory, reduction and NP-completeness.

Prerequisite(s): Required background: a course in discrete mathematics and knowledge of data structures.

Course updates made after the Graduate Catalog publication date will be posted in the Addendum to the Graduate Catalog.