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CS 473 AE2 - Algorithms

Campus: Urbana-Champaign


Design and analysis techniques, approximation algorithms, randomized algorithms and amortized analysis, and advanced topics such as network flow, linear programming, and dynamic data structures, among others. Course Information: Same as CSE 414 and MATH 473. 4 undergraduate hours. 4 graduate hours. Prerequisite: CS 374, and one of CS 361, MATH 461, or STAT 400.

Special Instructions:

This is an overflow section for CS 473. Students in this section will complete this course completely online except for the following which must be completed on-campus: Exams (will be completed in the classroom with the instructor/TA) in the same manner as for students registered for in-classroom delivery. Instructions on submission of homeworks will be provided in class materials.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


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