CSE332: Data Abstractions

Catalog Description: Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. Not available for credit for students who have completed CSE 373. Prerequisite: either CSE 311 or CSE 321.
Prerequisites: CSE 311 or CSE 321
Credits: 4
ABET Outcomes:
This course contributes to the following ABET outcomes:

(a)		an ability to apply knowledge of mathematics, science, and engineering
(b)		an ability to design and conduct experiments, as well as to analyze and interpret data
(c)		an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
(e)		an ability to identify, formulate, and solve engineering problems
(k)		an ability to use the techniques, skills, and modern engineering tools

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