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MTH 4320

Data Structures and Algorithms · 4 credits · Spring 2027

Requirements

Prerequisites: at least one of the following courses: MTH 3150, 4000, 4010, 4030, 4200, 4210, 4215, 4220, 4240 or 4315 and (CIS 2300 or MTH 3300 or CIS 3100 or CIS 4100) with a grade of C+ or higher

About this course

In this course, one learns how to design efficient algorithms and becomes familiar with common real-world algorithms. Examples include algorithms for data compression, error correcting codes, common graph algorithms such as shortest paths and network flow, and more. The course also includes algorithm techniques such as divideand-conquer, greedy algorithms, and dynamic programming.

Seat status as of Oct 3, 4:49 AM ET. Seats can change between refreshes.

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

KMWA-LEC Regular
Mon/Wed · 2:55 PM - 4:35 PM
Online-Synchronous / B - Vert 10-130
Areeba IkramChill Rank 3 of 5: Fair?★ 3.5(48)Difficulty 3.3/5 · 60% would take again#2 chillest of 2 for this course
Hybrid SynchronousOpen
KTRA-LEC Regular
Tue/Thu · 2:55 PM - 4:35 PM
B - Vert 11-135
Evan FinkChill Rank 2 of 5: Easy?★ 4.5(122)Difficulty 3.2/5 · 87% would take again#1 chillest of 2 for this course
In PersonOpen