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CMPT 280

Intermediate Data Structures and Algorithms

3 credits · Undergraduate

Formal abstract data types; tree representations and searching: ordered trees, balanced trees, simple spatial trees; graph representations and searching: path algorithms, DFS, BFS, backtracking, and sorting algorithms.

Prerequisites & course information

Weekly hours: 3 Lecture hours and 1.5 Tutorial hours Prerequisite(s): CMPT 270. Note: Students with credit for CMPT 250 may not take this course for credit. Costs in addition to tuition apply to this course.

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