Course Schedule
ENGR 2341 01F —
Intro to Signal Process W/Lab
CRN 51050
4.0 credit hours
This course introduces students to signal processing for discrete-time and continuous-time signals, convolutions, filtering, frequency response, Fourier series, Fourier transform, Laplace transform, and Z-transform to be used in real applications such as in communication systems, image processing, circuits, biomedical engineering and computer engineering. Laboratory emphasizes computer-based signal processing. Prerequisite(s): A minimum grade of "C" in MATH 2242 and ENGR 1731 or equivalent.
Course Details
| College |
Engineering and Computing |
Instructor |
Lim, Sungkyun |
| Location |
Online Course |
Seats Available |
6 open
(19 / 25)
|
| Instructional Method |
Fully at a distance
More than 95% of class sessions are delivered via distance education technology. This course may require students to travel to campus/designated instructional site to attend orientation, take an exam, or participate in other on-site experiences.
|
Waitlist Available |
No Waitlist Available
|
| Schedule Type |
Asynchronous Instruction
Asynchronous Course: Instruction delivered online without specified meeting days, times, or location.
|
Material Cost |
N/A |
| Semester |
Summer 2025 |
University Store |
Online
|
| Term |
Minimester I |
Course Fees |
N/A
|
Meeting Times
| Dates |
Days |
Time |
Building |
Room |
| May 19 - June 20, 2025
|
- |
-
|
- |
- |