ECE 351 Systems I 
Autumn 2006

Instructor: Prof. Andrea Serrani.
Office: 412 Dreese Lab.

Class Schedule: Monday, Wednesday, Friday, 2:30pm - 3:18pm
Office Hours: Monday and Wednesday, 4:00pm- 5:00pm
Teaching Assistant: 
Mr. Joseph Gourley. (email:

Prerequisite(s): ECE 205

Please note: The official web page of the course is developed on CARMEN at
Registered students may access all the additional information on the course, including notes, homework sets, solutions, and syllabus through the Carmen web site.

Grading:  Homework 20% , 2 Midterms 40% (20% each,) Comprehensive Final Exam 40%
Exams Policy: Exams are closed-book, closed-notes, unless specified otherwise. You are allowed to bring a one-page two-sided cheat-sheet.
Homework policy: Homework sets are posted on Carmen weekly. You are responsible for all assignments and announcements posted on Carmen or given in class. No late submission is accepted, unless previous arrangements have been made. Homework can be submitted electronically using Carmen, or handed in class on due date. Homework submitted via email will be discarded. You are strongly encouraged to use a word processor to typeset your homework (LaTeX is the best choice). Points will be taken out by the TA if your solution is poorly or sloppy written. All homework set will be collected, but only some of the problems may be graded. Grades will be post on Carmen. For your homework assignments, you are encouraged to work with your classmates, but you must submit your own solutions. Recall that, according to OSU regulations, the instructor must report any academic misconduct.

Textbook: E.D. Kamen and B.S. Heck, "Fundamentals of Signals and Systems", 3rd Edition, Prentice Hall, 2006.  ISBN: 0-13-168737-9  

Linear systems and models; time responses using convolution; Fourier series and transform; computer-aided analysis.

Lecture 1: Fundamental Concepts - Chapter 1 Continuous and discrete-time signals. Systems. Basic systems properties.
Lecture 2: Time-domain Models - Chapter 2 Input/Output representation of systems. Difference and differential equation models. Convolution.
Review. First Midterm
Lecture 3: Fourier Series and Fourier Transform -
Chapter 3
Representation of signals in terms of harmonic components. Trigonometric and complex-exponential series. Fourier transform.Spectral content of signals. Properties of Fourier transform. Signal modulation and de-modulation.
Review. Second Midterm
Lecture 4: Discrete Fourier Transform - Chapter 4 Discrete-time Fourier transform. DFT. Applications.
Lecture 5: Fourier Analysis - Chapter 5 Fourier analysis of continuous-time systems. Response to periodic and non-periodic inputs. Ideal filters. Sampling. Fourier analysis of discrete-time systems.
Review. Comprehensive Final Exam

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