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Apr 24, 2024
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2020-2021 Graduate Catalogue Archived Catalogue
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CSC 540 - Advanced Scientific Computing
Course Description: This course introduces the underlying theory, design, implementation, application, and analysis of numerical algorithms fundamental to scientific computation. Topics include Fourier and wavelet transforms spectral analysis, energy distributions, convolution, correlation, windowed transforms, and filtering. Other topics include constrained nonlinear and combinatorial optimization, curve fitting, data mining, clustering, and fuzzy logic.
Credit Hours: 3
Corequisite Courses: None
Prerequisite Courses: CSC 340 with minimum grade of C
Additional Restrictions/ Requirements: Prerequiste course or equivalent
Course Repeatability Course may not be repeated
ADDITIONAL COURSE INFORMATION
Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None
Click here for the Fall 2024 Class Schedule.
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