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\newcommand\semester{Spring 2026}
\newcommand\rsemester{202630}
\newcommand\courseNum{ECE 3242}
\newcommand\courseName{Fundamentals of Signal Processing}
\newcommand\courseCoordinator{Meltem Izzetoglu}
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•	Ulaby, F.T., \& Yagle, A. E. Signals \& Systems: Theory and Applications. Michigan Pub. 2018 (Available online for free). \\
•	Oppenheim A., Willsky A., Nawab S., Signals and Systems 2nd Edition \\
•      Haykin S, Van Veen B., Signals and Systems, John Wiley and Sons, 2005. \\
•      Lathi B.P., Linear systems and signals, Berkeley-Cambridge Press, 1992. \\
•      Lecture notes. \\
}
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\newcommand\catalogDesc{Overview of signals, types of signals, signal representation phasors, power and energy, Linear time invariant systems, convolution and impulse response; Fourier analysis and concept of frequency, Fourier transform, line spectrum; Discrete time signal analysis; Discrete Fourier transform (DFT), discrete-time convolution, z-transform.}
\newcommand\preReqs{Mathematics 2705}
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\newcommand\coreRequirement{Required for BSEE and BSCpE}
\newcommand\courseExpectation{Students will have a better understanding of the theory and methods of signal analysis and synthesis and system analysis and implementation. Students will learn convolution operation and transform techniques both in continuous and discrete time. Through examples, students will have exposure to basic signal processing applications in different fields.
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\newcommand\covTopics{\item Signal and systems: classes, properties, and operations in discrete time
\item Analog to digital conversion: sampling and quantization
\item Linear Time-Invariant (LTI) systems: impulse response, convolution and I/O representation in discrete time
\item z-transform and discrete time Fourier transform
\item Various applications in communications, speech processing, biomedical engineering}
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\large \textbf{Week} & \large \textbf{Topics}\\
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1-2 & Continuous time (CT) signals, sampling and quantization\\
3-4 & Discrete time (DT) signals, classification, and operations\\
5-6 & Discrete time (DT) systems, definitions, properties. Test 1\\
7-8 & DT Linear-time-invariant (LTI) systems: Impulse response and convolution sum\\
8-9 & DT-LTI systems: difference equation representation and interconnections\\
10-11 & Forward z-transform: poles and zeros region of convergence\\
11-12 & Inverse z-transform: partial fraction expansion, system properties. Test 2\\
13 & Discrete time Fourier transform\\
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Since you opted for an AI Policy, you should edit this part, choosing one of the following statements, modifying as desired:\\
\\
The use of AI-generated content is not permitted in this course.
Its use will result in an academic integrity violation and a zero on the assignment.\\
\\
OR\\
\\
The use of AI-generated content is allowed in this course.\\
\\
OR\\
\\
The use of AI-generated content is permitted as follows: (a) for generating a first draft or (b) for generating an outline or (c) for generating XXX.\\
\\
AND, if AI is allowed:\\
\\
Even if you have significantly edited AI-generated material, you must identify the AI tool used to assist in generating your work. You are required to provide the name of the tool, date used, and prompts used to generate the output.  As you may be required to submit the original AI output, you must keep a copy of the original output and provide it when requested.  If questions arise about the authorship of submitted work, you are responsible for authenticating your authorship.  You should save evidence of your authorial process, such as drafts, notes, version histories, and complete transcripts of AI assistance.
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**Syllabus Statement Classroom Lecture Capture (CLC):

Classroom Lecture Capture (CLC) refers to the recording of lectures and other instructional 
activities, e.g., lectures along with anything projected from your laptop during class such as 
slides, websites, and videos that are intended to supplement the students’ learning experience. 
For privacy reasons, camera views do not generally include students. Villanova classrooms that 
are lecture capture equipped are identified with a Mediasite and/or Zoom sticker. Per faculty 
request, classes scheduled in CLC designated classrooms may be recorded (audio and video) 
automatically and used for educational purposes only. A faculty member may elect to make the 
recordings available to students for viewing in the Blackboard LMS.

The class recordings may be used by students for learning purposes, such as studying or 
reviewing course content, preparing for exams, assisting with language difficulties, providing 
continuity of learning during illness, weather disruptions, and supporting their individual 
learning needs. CLC does not serve as an in-class lecture replacement. Students may not 
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