Rutgers University 3 credits Data Science
Introduction to algorithms, data structures and algorithmic paradigms used in data science. Topics include data structures for search and retrieval (arrays, heaps, search trees and hash tables); design techniques such as greedy and dynamic programming and using graph-theoretic algorithms for novel analyses of datasets. Prerequisites: 56:219:500 or equivalent
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