EE 301
Signals and Systems I
Course Syllabus (Fall 2013)
Fairfield
University School
of Engineering
Course
Number: EE 301 
Course
Name: Signals & Systems I 
Time: 11:00am12:15pm 
Course Location: Bannow
318 
Instructor: Jeffrey
N. Denenberg 
Final Exam: Design
Project 
Office: Bannow
301C 
Hours: Tues, Wed & Fri 11:00AM – Noon, 
Office Phone:
(203) 2543330 
Google
Voice: (203) 5139427 
Email: jeffrey.denenberg@ieee.org 
Course Description:
This course analyzes continuous signals and systems utilizing frequency domain techniques which include the Fourier
series, Fourier Transform and
Laplace transforms. Included are the important properties and identities
of
these of these techniques
which
include convolution, impulse response, transfer function and others. The student will gain insight into the duality between the time and frequency domains and techniques for
modeling Linear Time Invariant (LTI)
systems.
Since no real system is noise free, the course will discuss
the various types and sources
of
noise, the impact of noise on LTI systems, and
calculation of the signal to noise ratio.
Sampling theory will be discussed as a bridge to discrete time
systems. Discrete time
systems
will
be
studied with the ztransform and discrete Fourier
transform.
MATLAB will be used as a tool
to
aid in understanding concepts and solving problems.
Prerequisites:
EE 221 or
equivalent
Objectives and Outcomes
No. 
Objective 
Outcome 
ak 
1 
To understand and apply the principles of
LTI systems 
Students will analyze LTI systems with
differential
equations
as well as
Fourier and Laplace Transforms. 
a, e, i 
2 
To understand and apply Laplace Transforms to LTI systems 
Student will
apply Laplace transforms
to
“real world” engineering problems. 
a, e, i, j 
3 
To understand and apply Fourier Series to LTI systems 
Students will
learn and apply Fourier Series in real world contexts. 
a, e, i, j 
4 
To understand and apply Fourier Transforms
to LTI systems 
Student will
apply Fourier Transforms
to “real world”
engineering problems. 
a, e, i, j 
5 
To understand and apply Noise w/r to LTI Systems to
LTI systems 
Students will
analyze the different noise sources and their effects
on LTI systems. 
a, e, i, j 
6 
To understand and apply Discrete time systems and signals
to LTI systems 
Students will
apply the ztransform and discrete Fourier
analysis to
engineering problems. 
a, e, i, j 
7 
To develop familiarity with MATLAB for problem solving
and system design 
Students will use MATLAB to aid in
solving all signals and systems problems, especially matrixbased systems. 
d, e, g, i, k 
Textbook:
Linear Systems and Signals, 2nd ed., B. P. Lathi, Oxford University Press,
ISBN: 0195158334
References:
Schaum's Outline of Signals and
Systems, 2nd ed., Hwei Hsu, McGrawHill,
ISBN: 007163472X
Interactive Lecture Notes
(Phillips and Parr’s text),
EE235 (analog) and EE341
(Discrete). (Thanks to the University of
Washington)
Performance Indicators and grading:
Two written exams
will be given at approximately equal
intervals during the term as
outlined in the syllabus. The exams
will be takehome, open book, open note.
Exams (2) 
50% 
Team Design Project 
25% 
Homework 
25% 
Exam grading:
The purpose of the exam is
to
convey your understand the material; therefore, it is
important that you show your work. Even if you feel
that the solution to a problem is obvious; you must still explain why it is
obvious.
Furthermore; if you are
asked to solve
a problem using a given technique; then please use that technique; otherwise, I have no way to judge your
understanding of the technique being tested.
Homework policy:
The purpose of homework:
A: To give student practice.
B: To give professor feedback.
Homework will be collected and graded.
Grade is based more on honest
effort
than correct answers.
Homework is
due the next class after
it is assigned (except when specified). This two
week
homework cycle gives an intervening class
where
students can ask questions. Late homework
assignments are not accepted. If you know you have a conflict, please make arrangements ahead for time.
If you know in advance that you will be missing class please contact me to make arrangements regarding homework.
If you understand how to
do the homework problems you will have an easier time
with the Exams.
Class structure:
Lectures will be the primary source of information.
Students
are expected to attend
every class and to participate in class discussions. Homework assignments will
be discussed in class. Students will be expected to work
problems in class. You will
find
it beneficial
to review the chapters before the lecture.
Office hours
are open for discussion of anything. You can get help with
homework, projects, or more detailed explanations of topics covered in class. Feel free to stop by,
or make an appointment to meet another time
Class Topics and
Order
of Material
Week 

Topics/Chapters 
Chpt. 
Obj. 
References 
HW 
1 
Sep 5 
Course Introduction 
B 
1,7 
ContinuousTime: Introduction

Get ahead in your
Readings! 
2 
Sep 9 Sep 12 
Signals and Systems Noise Introduction 
1 Notes 
1,5 
1.13, 1.15,
1.21, 

3 
Sep 16, 19 
Time Domain Analysis of continuous Systems (2.12.4),
MATLAB Chap. MB.2* 
2 
1,5 
Convolution1, Conv.2, Conv.3, 
2.21, 2.31,
2.44, 
4 
Sep
23, 26 
Time Domain Analysis of continuous Systems (2.52.8) 
2 
1,5 
2.419, 2.422,
2.426, 2..424, 2.427, 2.437, 2.51, 2.66, 2.72 

5 
Sep
30 
Laplace Transform
(LT) Exam 1 (Covers
Chapters
1,2 & Noise) 
4 
2,5 
Laplace, Laplace2, LTI, Bilateral Laplace 
4.11, 413,
423, 
6 
Oct 7, 10 
Laplace Transform (cont.), 
4 
2,5 
4.51, 4.614,
4.81, 

7 
Oct
14 Oct 17 
Columbus
Day – No Class MATLAB Chap. MB.6* Fourier Series 
6 
3,5 
6.11, 6.17,
6.32, 6.33, 6.35, 6.53, 6.59 

8 
Oct
21. 24 
Fourier Transform MATLAB Chap. MB.7*
(Filters) 
7 
4,5 
7.11, 7.14,
7.16, 7.21, 7.32, 7.35, 7.41, 7.53, 7.66, 7.71, 7.75, 

9 
Oct 28 Oct
31 
Sampling Discrete Signals
and Systems 
8.18.4 
1,
2, 4,5,6 
8.11, 8.16,
8.18, 8.22, 8.26, 8.31 

10 
Nov
4, 7 
Discrete Signals
(cont.) 
3 
1,2,5,6 

3.11, 3.12,
3.23, 3.31, 3.37, 3.43, 3.45, 3.51 
11 
Nov
11, 14 
ZTransform, MATLABMB.5* 
5 
1,5,6 
5.11, 5.13,
5.16, 5.32, 5.312, 5.318 

12 
Nov
18 Nov 21 
ZTransform (cont.) Discrete Fourier Analysis 
5 
1,5,6 
5.42, 5.49, 5.53,
5.61, 5.63, 5.611, 5.M4, 5.M8 

13 
Nov
25 
Exam 2 (Covers
Chapters
38) Thanksgiving
– No Class 




14 
Dec 2 
Discrete Fourier Analysis (cont), Noise
analysis
in Linear Systems 
8.58.7 Notes 
6 1,5 


15 
Dec 9 
Review, Team
Design Project* Discussion 




*Students to perform outside of class