DATA 370 - Data Structures and Algorithms I

3 credit hours - Introduction to fundamental data structures and algorithms to solve computational problems. Emphasis on quantitative performance analysis of the various approaches along with applications. Topics include lists, queues, stacks, sorting (insertion, merge, quick), search trees (binary, red-black), and hash tables (separate chaining, probing).

Part I of a two-part course: Part I covers fundamentals, sorting, and searching, Part II covers graphs, strings, and advanced applications. Prerequisite(s): DATA 171 , DATA 245 and DATA 246 .