EGR 241 - Systems and Signals

4 credit hours - Four hours of lecture/lab weekly; one term.
Apply numerical tools to systems and signals. Become familiar with aspects of numerical computation and appreciate the limitations. Master basic tools from linear algebra and calculus required for modeling real-world systems and signals. Implement digital filters for use in signal processing applications. Become proficient in a computer numerical analysis application.

Prerequisite(s): MAT 192 .

Location(s) Typically Offered: Arnold Main Campus (MC)

Term(s) Typically Offered: Spring

Course Outcomes:

Upon successful completion of this course, students will be able to:

Represent signals in discrete and continuous time.
Manipulate sampled signals.
Use matrix algebra and Gaussian elimination to solve systems of equations.
Use linear projections to solve least squares problems.
Calculate and interpret the Discrete Fourier Transform of a signal.
Calculate the output of a linear filter using convolution and frequency domain approaches.
Use a numerical computing application to perform calculations.