Algorithms and Data Structures (CS4378.01)

Jim Mahoney

A survey of the most common patterns of storing digital information and the recipes to search, process, and access that information. Topics include data structures such as arrays, linked lists, stacks, queues, hash tables, and trees and algorithms such as brute force, divide and conquer, and recursion. Students will learn to compare the efficiency of these recipes and storage techniques, as well as how and when to use them. This intermediate level course will use a combination of the Python and C languages, reviewing and explaining specific features as needed and also practicing programming in those languages.

Students will require a MacOS, Windows, or Linux computer.

Learning Outcomes:

Delivery Method: Entirely remote (synchronous)
Prerequisites:Intro Programming course or similar coding background.
Course Level: 4000-level
Credits: 4
M/Th 3:40PM - 5:30PM (Full-term)
Maximum Enrollment: 16
Course Frequency: Once a year

Categories: All courses , Computer Science , Entirely Remote