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E C E 330

SIGNALS AND SYSTEMS

3 credits.

Time-domain response and convolution; frequency-domain response using Fourier series, Fourier transform, Laplace transform; discrete Fourier series and transform; sampling; z-transform; relationships between time and frequency descriptions of discrete and continuous signals and systems.

Prerequisites & course information

Requisites: E C E 203 or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Determine whether a system is linear, time-invariant, stable, and/or causal Audience: Undergraduate 2. Convert between time-domain and frequency-domain representations of signals Audience: Undergraduate 3. Analyze the behavior of continuous-time and discrete-time systems using time-domain and frequency-domain techniques Audience: Undergraduate 4. Compute and evaluate single-input single-output transfer functions from differential and difference equations Audience: Undergraduate 5. Perform discrete-time processing of continuous-time signals using sampling, filtering, and reconstruction Audience: Undergraduate Learning Outcomes: 1. Determine whether a system is linear, time-invariant, stable, and/or causal Audience: Undergraduate 2. Convert between time-domain and frequency-domain representations of signals Audience: Undergraduate 3. Analyze the behavior of continuous-time and discrete-time systems using time-domain and frequency-domain techniques Audience: Undergraduate 4. Compute and evaluate single-input single-output transfer functions from differential and difference equations Audience: Undergraduate 5. Perform discrete-time processing of continuous-time signals using sampling, filtering, and reconstruction Audience: Undergraduate

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