EECS 250 Digital Signal Processing I (2017-2018)

EECS 250 Digital Signal Processing I

(Not required for any major.)
Catalog Data:

EECS 250 Digital Signal Processing I (Credit Units: 4) Fundamental principles of digital signal processing, sampling, decimation and interpolation, discrete Fourier transforms and FFT algorithms, transversal and recursive filters, discrete random processes, and finite-word effects in digital filters. Graduate students only. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-1107601048.

Recommended Textbook:
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic

Digital Signal Processing (EECS 152A)

Lecture Topics:


Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
Laboratory Portion:
Grading Criteria:
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

February 22, 2017
Senate Approved:
November 10, 2014
Approved Effective:
2015 Fall Qtr