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CSCE 727

Algorithmic Foundations of Big Data Computing

Texas A&M University 3 credits CSCE

Course Description

Design and analysis of algorithms to analyze large sets of data in fields such as machine learning and data mining; streaming algorithms; parallel algorithms; sublinear time algorithms; sketching algorithms; applications of these algorithms; theoretical analysis of these algorithms as well as practical implementations for real problems. Prerequisites: CSCE 629 or approval of instructor.

Code
CSCE 727
Credits
3
Subject
CSCE

Programs That Include This Course

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