Math 416 Description and Prerequisites

UM Undergraduate Catalog Course Description

Math 416, Applied Harmonic Analysis: An Introduction to Signal Processing (3 credits)
The goal of this course is to introduce the students to the modern mathematical techniques which are applied in signal processing and which are used in a variety of areas, ranging from engineering to medicine and finance. Topics include: Applied Linear Algebra, Fourier Series, Discrete Fourier Transform, Fourier Transform, Shannon Sampling Theorem, Wavelet Bases, Multiresolution Analysis, and Discrete Wavelet Transform. Emphasis will be placed upon mathematical foundations of applicable algorithms, as well as on the ability to implement these algorithms.

More detailed outlines of some of the topics to covered can be found below and at
http://www.math.umd.edu/undergraduate/courses/syllabi/syllabusMATH416.html .

Course Prerequisites

a C- of better in Math 141 and Math 240;
or a C- of better in Math 141 and Math 461;
or a C- of better in Math 341;

Familiarity with MATLAB is also required.