Sep 20, 2019  
Rensselaer Catalog 2017-2018 
    
Rensselaer Catalog 2017-2018 [Archived Catalog]

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CSCI 2300 - Introduction to Algorithms


Data structures and algorithms, and the mathematical techniques necessary to design and analyze them. Basic data structures: lists, associative structures, trees. Mathematical techniques for designing algorithms and analyzing worst-case and expected-case algorithm efficiency. Advanced data structures: balanced trees, tries, heaps, priority queues, graphs. Searching, sorting. Algorithm design techniques: dynamic programming, greedy algorithms, divide-and-conquer, backtracking. Example graph, string, geometric, and numeric algorithms.

Prerequisites/Corequisites: Prerequisites: CSCI 1200, MATH 1010, and CSCI 2200.

When Offered: Fall and spring terms annually.



Credit Hours: 4

Contact, Lecture or Lab Hours: 6



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