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CSE 258Spectral Graph Theory

5 creditsGraduateStudent Option

Explores what eigenvalues and eigenvectors of graphs can tell us about their structure, and exploiting this knowledge for algorithmic purposes. It can be thought of as ''Advanced Linear Algebra with examples from Graph Theory.''

Prerequisites

Prerequisite(s): linear algebra familiarity. Enrollment is restricted to graduate students, undergraduate students with linear algebra familiarity may enroll by permission of the instructor.

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When it runs

Winter 2027Open Winter 2027

SectionTypeWhenWhereInstructorSeats
01LectureAsynchronousStaffOpen 0/40

Winter 2026Open Winter 2026

SectionTypeWhenWhereInstructorSeats
01Lecture
Tue Thu 3:20pm–4:55pm
Cowell Acad 113A. KollaOpen 8/40

Who teaches it

InstructorRatingDifficultyWould take againReviews
Alexandra Kolla1.5 / 54.6 / 512%56

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