Jun 16, 2024  
2018-2019 Graduate Bulletin 
    
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2018-2019 Graduate Bulletin [ARCHIVED]

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MSCS-747 Scientific Computing

(3 cr.)
Repeatable for Credit: No
Analysis and development of the most common techniques used in the efficient numerical solution of problems in applied mathematics, statistics, science and engineering focusing on computational methods in linear algebra and nonlinear systems. Applications from a wide variety of fields including engineering, computer science, and physics.
Prerequisite: Take MATH-720 


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