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CS 4102

Algorithms

Course Description

Pre-Requisite(s): CS 2150 or CS 2501 topic DSA2 with a grade of C- or higher, and CS 2102 or CS 2120 with grades of C- or higher, and APMA 1090 or MATH 1210 or MATH 1310

Introduces the analysis of algorithms and the effects of data structures on them. Algorithms selected from areas such as sorting, searching, shortest paths, greedy algorithms, backtracking, divide-and-conquer, and dynamic programming. Data structures include heaps and search, splay, and spanning trees. Analysis techniques include asymtotic worst case, expected time, amortized analysis, and reductions between problems.


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  • Aaron Bloomfield
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    Spring 2011

  • Tom Horton
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    Spring 2022

  • Nathan Brunelle
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    Summer 2022

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  • Daniel Ashley
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    Summer 2019

  • Daniel Graham
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    Spring 2019

  • Robbie Hott
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    Spring 2022

  • Mark Floryan
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    3.89

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    3.00

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    Fall 2021

  • Kong-Cheng Wong
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    2.91

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    Summer 2017

  • John Hott
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    4.61

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    4.33

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    Spring 2020

  • Kristy Hornweder
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    Spring 2013

  • David Wu
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    4.07

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    Fall 2021

  • Abhi Shelat
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    3.78

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    3.15

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    Spring 2016

  • Thomas Horton
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    Summer 2015

  • Gabriel Robins
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    Fall 2015

  • Paul Reynolds
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    2.64

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    Spring 2012