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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Spring 2022 Computer Science W4232 section 001
Advanced Algorithms

Call Number 12436
Day & Time
Location
TR 4:10pm-5:25pm
451 Computer Science Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Alexandr Andoni
Type LECTURE
Method of Instruction In-Person
Course Description Introduces classic and modern algorithmic ideas that are central to many areas of Computer Science. The focus is on most powerful paradigms and techniques of how to design algorithms, and how to measure their efficiency. The intent is to be broad, covering a diversity of algorithmic techniques, rather than be deep. The covered topics have all been implemented and are widely used in industry. Topics include: hashing, sketching/streaming, nearest neighbor search, graph algorithms, spectral graph theory, linear programming, models for large-scale computation, and other related topics
Web Site Vergil
Department Computer Science
Enrollment 52 students (110 max) as of 5:34PM Tuesday, July 5, 2022
Subject Computer Science
Number W4232
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20221COMS4232W001

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SIS update 07/05/22 17:34    web update 07/05/22 20:58