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Organization, Regulations, and Courses 2024-25


COSC 32 Advanced Algorithms

This course follows up on our basic undergraduate-level algorithms course, covering a number of advanced topics and ideas in algorithm design and analysis. You will learn about the use of advanced data structures, amortized analysis, randomization, linear programming, and approximation. The focus will be on methodology and broadly-applicable fundamental principles, rather than specific problem domains.

Prerequisite

An undergraduate-level course in Algorithms (such as COSC 31) and strong mathematics background.

Degree Requirement Attributes

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.