CSC 316
Data Structures and Algorithms
Section: 001

Course Description

Abstract data types; abstract and implementation-level views of data types. Linear and branching data structures, including stacks, queues, trees, heaps, hash tables, graphs, and others at discretion of instructor. Best, worst, and average case asymptotic time and space complexity as a means of formal analysis of iterative and recursive algorithms.

Spring 2024

Instructors

Meeting Patterns

Classes Start:
January 8, 2024
Classes End:
April 23, 2024
Location:
01103 James B Hunt Jr Centenni
Class Days:
M W
Class Start Time:
10:15am
Class End Time:
11:30am

Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: CSC 216 with a grade of C or better and (CSC 226 or MA 225) with a grade of C or better Restricted: Computer Science-BS, Computer Science-Intended, Computer Programming, or Mathematics Education-BS

Tools