EECS 3210 - Signals and Systems Course Syllabus
Credits/Contact Hours
Three Credits and three contact hours per week
Textbook
Signals and Systems, Continuous and Discrete by Rodger E. Ziemer, William H. Trantler and Ronald Fannin, 4th Ed., 1998.
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 Learning Objectives (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, causal system by using
convolution.
4. Obtain the Fourier series expansion of a periodic signal and apply it to continuous,
linear, time-invariant systems.
5. Obtain and plot the Fourier transform for simple aperiodic continuous-time signals.
6. Utilize the Laplace transform method to solve continuous, linear, time-invariant
systems and to obtain transfer functions.
7. Analyze continuous, linear time-invariant systems using state variable formulation
and solve the resulting state equations.
8. Convert a continuous-time signal to the discrete-time domain and reconstruct it
using the sampling theorem.
9. Utilize the z-transform method to solve linear discrete-time systems and to obtain
transfer functions.
10. Use MATLAB software to implement the signal processing 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