Matrix and Integral Transforms with Applications Foundations in the most commonly used transforms in mathematics, science, and engineering. Eigenvector decompositions, Fourier transforms, singular value decompositions, and the Radon transform, with emphasis on mathematical structure and applications. Credit Hours: 3 Prerequisites: (MATH 3000 or MATH 3510 or MATH 3510H) and MATH 3100 Level: Graduate Undergraduate
