CMPS 303 - Data Structures |
Fundamental data structures and algorithms and their efficient implementation and application to problem solving. Linked lists, stacks, queues, hash tables, trees and graphs. Develop and analyze iterative and recursive algorithms such as searching and storing algorithms. The laboratory provides practical experience with data structures and algorithms.
0.000 TO 4.000 Credit hours 0.000 TO 3.000 Lecture hours 0.000 TO 3.000 Lab hours Syllabus Available Levels: Undergraduate Schedule Types: Lab, Lecture All Sections for this Course Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level CMPS 251 Minimum Grade of D or Undergraduate level CMPE 265 Minimum Grade of D |
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