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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
|
| 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 | - | - | - | - |