Electrical and Computer Engineering

303.  Signals and Systems I.  Modeling and analysis of continuous-time systems.  Convolution of signals and representation of linear time invariant systems.  Fourier series.  The Fourier Transform and its applications.  The Laplace Transform and its applications to continuous-time systems.  Stability of continuous time systems.  Three lectures. Fall  (Cr.3) 

Prerequisite:     ENGS 203.

Goals:       To develop in students the ability to model systems and analyze linear 

                   models using convolution and Fourier and Laplace transform methods.

Text:          "Signal & Systems", R.E. Ziemer, W.H. Tranter adn D.R. Fanning, 4th., Ed., 

                   Prentice Hall, 1998

Prerequisite by Topic: 

1.     Use of Kirchhoff's laws in circuit analysis

2.     Differentiation and Integration

3.     Solution of ordinary linear differential equations

Topics:

1.     Signal and System Modeling Concepts (5 lectures)

2.     System Modeling and Analysis in the Time Domain Impulse Response and

        Convolution (9 lectures)

3.     The Fourier Series (4 lectures)

4.     The Fourier Transform and its Applications System Analysis and the

        Transfer Function (9 lectures)

5.     The Laplace Transform Theorems and Inversion of Rational Functions (8 lectures)

6.     Applications of the Laplace Transform (4 lectures)

7.     Testing (Six Short Quizzes, Midterm, Final Exam) (5 hours) 

ABET category content as estimated by faculty member who prepared this course description:  Engineering Science: 3 credits or 100%

Prepared by: C. J. Nisteruk