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Detailed Course Information


Winter/Spring 2015
Oct 24, 2016
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CSC 3171A - Algorithms
Algorithmic development is a key ingredient to the development of computer-based solutions for a wide variety of scientific and industrial problems. This course provides students with an opportunity to further develop their skills in developing and documenting methodologies for the solution of various problem classes. Topics include the writing of understandable pseudocode, techniques for estimating the efficiency of an algorithm, the use of advanced data structures, and the implementation of these techniques using a programming language like Java or C++. Example problems may be drawn from a variety of areas in discrete and continuous mathematics. Prerequisites: MTH 1017A and CSC 2025A, or permission of the Mathematics and Computer Science Department chair.

3.000 Credit hours

Levels: Undergraduate
Schedule Types: Lecture

Division of Ntl Science & Math Division
Mathematics & Comp Science Department

Course Attributes:
Liberal Arts

Undergraduate level MTH 1017A Minimum Grade of D- and Undergraduate level CSC 2025A Minimum Grade of D-

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Release: 8.5.4