Topics in Applied Mathematics


In recent years, important theories from mathematics have migrated into digital communication, image and signal processing, and multimedia visualization and data analysis. This course will explore how abstract algebra leads to secure date encryption, how linear algebra may be used in data analysis and visualization, how time-frequency analysis of audio leads to good compression, how Fourier and wavelet transforms provide image and video comperession, and how sampling and estimation theory are used in machine learning. Prerequisite: Math 449, or the permission of the instructor.
Course Attributes: FA NSM; AS NSM; AR NSM

Section 01

Topics in Applied Mathematics
INSTRUCTOR: Wickerhauser
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