MATH 3303 – Topics in Applied Mathematics and Data Analysis

(3 credits) 3 hours lecture, 2 hours lab

Techniques of applied mathematics are a great asset and an important quantitative tool for scientists. The course gives an introduction to Discrete Fourier transform, Fast Fourier Transform, filter design and wavelet analysis. Statistical data analysis and stochastic processes are also discussed. These topics will be addressed through their applications to the natural sciences.

Prerequisites: Mathematics 1202 and Mathematics 1203 with a minimum grade of C-.

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