Mar 27, 2023  
2020-2021 Graduate Catalogue 
2020-2021 Graduate Catalogue Archived Catalogue

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


Equivalent Courses: None
Undergraduate Crosslisting: None
Additional Course Fees: None
Course Attribute: None

Click here for the Spring 2023 Class Schedule.