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Organization, Regulations, and Courses 2020-21


COSC 36 Approximation Algorithms

Many problems arising in computer science are NP-hard and therefore we do not expect efficient algorithms for solving them exactly. This has led to the study of approximation algorithms where algorithms are supposed to run fast but can return approximate solutions. This course provides a broad overview of the main techniques involved in designing and analyzing such algorithms. It also explores connections between algorithms and mathematical fields such as algebra, geometry, and probability.

Prerequisite

A first course on algorithms and mathematical maturity to read and write proofs will be assumed. Prerequisite Courses: COSC 31, COSC 30.

Distributive and/or World Culture

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.