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Course Catalog Description

CMSC 341 — Data Structures

An examination of a range of advanced data structures, with an emphasis on an object-oriented approach. Topics include asymptotic analysis; various binary search trees, including red-black and splay trees; skip lists as alternatives to binary search trees; data structures for multidimensional data such as K-D trees; heaps and priority queues, including binary heaps, binomial heaps, leftist heaps (and/or other mergeable heaps); B-trees for external storage; other commonly used data structures, such as hash tables and disjoint sets. Programming projects in this course will focus on implementation issues for data structures and on empirical analysis of their asymptotic performance.

Be sure to read through the syllabus for more information.


All sections of CMSC 341 will have the same programming projects. However, lectures, exams and grading will vary by section. You must attend the lecture for your own section. Be sure to consult the section homepages for more information:

Section Days and Time Location Instructor
01 MW 1:00PM - 2:15PM Sondheim 113 Mr. Lupoli
02 MW 2:30PM - 3:45PM Sherman 150 Mr. Lupoli
03 MoWe 5:30PM - 6:45PM Math & Psychology 106 Mr. Maselko
04 TuTh 1:00PM - 2:15PM Sherman Hall 151 Mr. Morawski