 | Select the desired Level or Schedule Type to find available classes for the course. |
| CSC 340 - Scientific Computing |
|
Introduction to the design, application, and performance of numerical algorithms fundamental to scientific computation. Topics may include error and error propagation; matrix applications such as finding solutions to linear systems, finding eigenvalues and eigenvectors, or finding linear principal components; optimization; basic Markov modeling; Fourier processing; and curve fitting. Emphasizes relative merits and implementations of algorithms.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science Department Restrictions: May not be assigned one of the following Student Attributes: Online Accelerated Programs Prerequisites: Undergraduate level MAT 162 Minimum Grade of D- and Undergraduate level CSC 231 Minimum Grade of C |
| Return to Previous | New Search |
 |