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Princeton University

Analytic Combinatorics, Part I

Princeton University via Coursera

This course may be unavailable.

Overview

This course covers the principles and techniques of analytic combinatorics, teaching students how to analyze and derive asymptotic results for combinatorial structures. The course aims to provide learners with the skills to analyze algorithms, data structures, and networks using combinatorial methods. The teaching method includes video lectures, readings, and problem sets. This course is intended for students and professionals interested in algorithms, data structures, and combinatorics.

Taught by

Robert Sedgewick

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