CS 220P - Data Structures

3 credit(s) High Impact Practice: Collaborative Learning
The study of linear lists (stacks, queues); static versus dynamic allocation; garbage collection; sparse matrices; prefix, postfix, and infix formulas; recursion and recursive algorithms; trees; hashing; searching and sorting; analysis of algorithms in terms of time and space complexity; and an introduction to graphs.
Prerequisite(s): CS 115 (minimum grade of C).
Laboratory fee.

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