EECS 3210 - Signals and Systems听Course Syllabus
Credits/Contact Hours
Three Credits and three contact hours per week听
Textbook
Signals and Systems, Continuous and Discrete听by Rodger E. Ziemer, William H. Trantler and Ronald Fannin,听听4th Ed., 1998.听听
Course Information
Signals and system representation. Convolution and impulse response. Fourier series,
Fourier transform, and Laplace transform. State variable analysis of continuous and
discrete systems. Digital computer simulation using MATLAB.
Prerequisites: EECS 2300 and MATH 2860 and MATH 2890
Required course
Specific Goals - Student听Learning Objectives听(SLOs)
The students will be able to:
1. Represent and Classify signal and systems.
2. Represent and apply singularity functions.
3. Obtain the response of a continuous, linear, time-invariant,听causal system by using
convolution.
4. Obtain the Fourier series expansion of a periodic signal and听apply it to continuous,
linear, time-invariant systems.
5. Obtain and plot the Fourier transform for simple aperiodic听continuous-time signals.
6. Utilize the Laplace transform method to solve continuous,听linear, time-invariant
systems and to obtain transfer听functions.
7. Analyze continuous, linear time-invariant systems using state听variable formulation
and solve the resulting state equations.
8. Convert a continuous-time signal to the discrete-time domain听and reconstruct it
using the sampling theorem.
9. Utilize the z-transform method to solve linear discrete-time听systems and to obtain
transfer functions.
10. Use MATLAB software to implement the signal processing听and system analysis.
Topics
1. Signal Representation
2. System Classification
3. Singularity Functions
4. Convolution
5. Fourier Series and Applications to Electric Circuits
6. Fourier Transforms
7. Nyquist Sampling Theorem
8. Fourier Analysis of Discrete Systems
9. Laplace Transforms, Transfer Functions and Applications to
Electric Circuits
10. Discrete-Time Systems and Z-Transforms
11. Digital Computer Simulation Using MATLAB