MATH416

Applied Harmonic Analysis: An Introduction to Signal Processing

Prerequisite: Minimum grade of C- in MATH141; and 1 course with a minimum grade of C- from (MATH240, MATH461, MATH341); and familiarity with MATLAB is required. Introduces students to the mathematical concepts arising in signal analysis from the applied harmonic analysis point of view. Topics include applied linear algebra, Fourier series, discrete Fourier transform, Fourier transform, Shannon Sampling Theorem, wavelet bases, multiresolution analysis, and discrete wavelet transform.

Spring 2026

Stefan Doboszczak

3 reviews
Average rating: 4.67

Meenakshi Krishnan

0 reviews
Average rating: N/A

Junren Chen

0 reviews
Average rating: N/A

Fall 2025

Wojciech Czaja

10 reviews
Average rating: 2.40

Stefan Doboszczak

3 reviews
Average rating: 4.67

Spring 2025

Wojciech Czaja

10 reviews
Average rating: 2.40

Past Semesters

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 2.33 between 472 students*

A-: 6.99%

A: 20.97%

A+: 5.51%

B-: 3.39%

B: 12.71%

B+: 6.78%

C-: 2.54%

C: 7.2%

C+: 1.91%

D-: 0.21%

D: 3.18%

D+: 0.64%

F: 9.11%

W: 17.16%

other: 1.69%

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.