EE301: Signals and Systems 1
Fall, 2009

 


                                                                                         

Time:

Lecture: Thursdays 6:00pm - 9:00pm

Place:

Bannow 333

Instructor:

Jeffrey N. Denenberg

Google Voice:

(203) 513-9427

Email:

jeffrey.denenberg@ieee.org

Home Page:

http://doctord.dyndns.org, http://doctord.webhop.net

Prerequisites:

EE221: Frequency Domain Circuit Analysis or equivalent

Office Hours:

McAuliffe Hall 4:30 - 5:30 pm before class on Thursdays also on Tuesdays and Wednesdays
Contact the instructor via Google Voice, Fax or Email at any reasonable time.

Text:

Lathi, Linear Systems and Signals, 2nd edition, Oxford, 2005, ISBN 0941413330

Software:

MatLab 4.2c (or later), The Mathworks (4.2c is available from the instructor)

References:

Phillips and Parr, Signals, Systems, and Transforms, 3rd edition, Prentice-Hall 2003

Hsu, Analog and Digital Communications, Schaum's Outlines, McGraw-Hill 1993

Interactive Notes (Phillips and Parr), EE235 (analog) and  EE341 (Discrete).  Thanks to the U. of Washington

Denenberg Tutorials: Fourier Series, Fourier Transform, Introduction to Noise,  Sampling and Reconstruction, Continuous-Time Systems, Discrete-Time Systems, Discrete Fourier Transform, z-Transform

Course Description:

This course studies and classifies continuous and discrete signals and systems. It presents time domain and discrete analysis of signals using the Fourier series, Laplace transforms, Fourier transforms, z-transforms, and fast Fourier transforms (e.g., differential equations, convolution, concept and meaning of impulse response); and examines frequency domain analysis, the Fourier series, and the Fourier transform as an alternative to time domain analysis. Students gain further insights into signal and system properties through the Laplace transform methods and the concept of the transfer function. (3 credits)

Schedule - Fall 2009  (Updated periodically so check regularly)

Student Objective

Outcome Category

 

Gain Proficiency in using Time Domain Analysis tools (Differential Equations and the Convolution Integral) for Linear Systems.

Knowledge of Math, Science & Engineering

1.5

 

Gain Proficiency in using Frequency Domain Analysis tools (Fourier and Laplace) for Linear Systems.

Problem Solving

1.0

 

Gain confidence in the use of PCs for engineering analysis purposes and understand strengths and limitations of computer tools.


Use Modern Engineering tools

 

0.5

 

Gain proficiency in MatLab, a fundamental engineering software tool.

 

Class Performance Summary: TBD

Supplementary Materials:

·         MatLab Tutorial by B. Aliane

·         MatLab files for Phillips and Parr, "Signals, Systems and Transforms", 2rd Ed.: (zip archive - 20 KB) Thanks to Drs. Phillips/Parr and The Mathworks

·         Index to UCLA 102 Practice Sets Thanks to Dr. Paganini

·         Spectrogram - A spectrum analysis tool (257KB zip archive, freeware for non-commercial use only)

Grading:

20% Homework
40% Examinations (2 exams)
40% Final Exam

There will be no make-up examinations. If you are unable to take one of the mid-term examinations on the assigned date, let me know in advance to make alternative arrangements. If you are unable to take the final examination on the assigned date, then the instructor will record a course grade of incomplete which can be redeemed by taking the final examination when the course is next offered (usually 1 year later).

In case of a class cancellation, use U.S. mail, e-mail, fax, or hand delivery to send in any assignment by the Friday following the due date. The activity scheduled for a cancelled meeting date, whether exam or lecture, is automatically postponed to the next class meeting when it is eventually held. After a cancellation, an updated schedule will be issued.

Each reading assignment should be completed before the weekly meeting. Homework is due at the meeting following the week when it is assigned.

Disability

If you have a documented disability and wish to discuss academic accommodations, please contact: David Ryan-Soderlund at Academic and Disability Support Services (203) 254-4000, x2615, or email drsoderlund@mail.fairfield.edu, and notify the course instructor within the first two weeks of the semester.

ACADEMIC DISHONESTY

Students are sometimes unsure of what constitutes academic dishonesty.  In all academic work, students are expected to submit materials that are their own and are to include attribution for any ideas or language that are not their own.  Examples of dishonest conduct include, but are not limited to:

•       Falsification of academic records or grades, including but not limited to any act of falsifying information on an official academic document, grade report, class registration document or transcript.

•       Cheating, such as copying examination answers from materials such as crib notes or another student’s paper. .

•       Collusion, such as working with another person or persons when independent work is prescribed. .

•       Inappropriate use of notes.

•       Falsification or fabrication of an assigned project, data, results, or sources. .

•       Giving, receiving, offering, or soliciting information in examinations.

•       Using previously prepared materials in examinations, tests, or quizzes.

•       Destruction or alteration of another student’s work.

•       Submitting the same paper or report for assignments in more than one course without the prior written permission of each instructor.

•       Appropriating information, ideas, or the language of other people or writers and submitting it as one’s own to satisfy the requirements of a course – commonly known as plagiarism.
Plagiarism constitutes theft and deceit.  Assignments (compositions, term papers, computer programs, etc. .) acquired either in part or in whole from commercial sources, publications, students, or other sources and submitted as one’s own original work will be considered plagiarism.

•       Unauthorized recording, sale, or use of lectures and other instructional materials.

In the event of such dishonesty, professors are to award a grade of zero for the project, paper, or examination in question, and may record an F for the course itself.  When appropriate, expulsion may be recommended. . A notation of the event is made in the student’s file in the academic dean’s office.