Linear Systems
EE 3317
Spring 2009
1. Instructor and TAs 
Dan Popa / See information on TA's 
2. Office Location: 
NH 525 
3. Office Hours: 
Monday/Wednesday 10:3012:30 or by appointment 
4. Phone: 
8172725982, 8172723342 
5. Fax: 
8172725952 


6. Email: 
popa@uta.edu 
Course venue: 
NH 106, MW 9:0010:20 am 


7. Course Prerequisites:

EE 3317 prerequisite: EE 2446 and MATH 3319. MAE 3317 prerequisite: MAE 3360.Please come see me or email me if you have additional questions prior to signing up for the course. 
8. Required Readings/Materials: 
Textbook:
 B.P. Lathi, Linear Systems and Signals, 2nd ed. (required), Oxford Press, ISBN13: 9780195158335.
Other materials (on library reserve)
 Student Edition of MATLAB Version 5 for Windows by Mathworks, Mathworks Staff, MathWorks Inc.
 R.D. Strum, D.E. Kirk, Contemporary Linear Systems using MATLAB, PWS Publishing, 1994, ISBN: 0534932738.
 B.W. Dickinson, Systems: Analysis, Design and Computation, Prentice Hall, 1991, ISBN: 0133380475.
 G.F. Franklin, J.D. Powell, A. EmamiNaeni, Feedback Control of Dynamic Systems, 5th edition, Prentice Hall, 2006, ISBN: 0131499300.

9. Course Description: 
Catalog description: EE 3317. LINEAR SYSTEMS (30) Timedomain transient analysis, convolution, Fourier Series and Transforms, Laplace Transforms and applications, transfer functions, signal flow diagrams, Bode plots, stability criteria, and sampling.
This is an introductory signal and systems course. It presents a broad overview of continuous linear systems concepts and techniques, and focuses on fundamentals such as timedomain and frequency domain analysis, stability, and discretization (sampling)..
The course material is divided between several areas:
 Signals and systems: classification, manipulation, modeling
 Continuous timedomain analysis of systems
 Continuous frequency domain analysis of systems
 Sampling and Fourier analysis of signals
 Programming excercises using MATLAB

10. Course Learning Goals/Objectives: 
The goals of the course are as follows:
 Ability to analyze systems using timedomain methods including impulse response and convolution.
 Ability to analyze systems using Laplacedomain methods including transfer function and related concepts.
 Ability to analyze systems using frequencydomain methods including frequency response of a system and Bode plots.
 Ability to analyze signals using Fourier series and Fourier transform.
 Ability to appliy systems analysis tools to solve engineering problems.
 Ability to use MATLAB as an engineering tool.



11. Tentative Lecture/Topic Schedule: 
 Week 1  January 21, Lecture 1
 Introduction to signals and systems, syllabus and examples.
 Online material
 Week 2  January 26, 28, Lecture 2
 Review of basics: Matrix and vector algebra, complex numbers, integrals and series. (Background)
 Online materials:
 Week 3  February 2, 4, Lectures 3,4
 Review of basics: Matrix and vector algebra, complex numbers, integrals and series. (Background)
 MATLAB Programming
 Online materials:
 Signals: classification, operations, standard signals, programming using MATLAB (Chapter 1)
 Notes for lecture 4
 Summary of lectures 45
 Operations: Time Shifting, Scale, Reversal
 Classification: analog, digital, periodic, aperiodic, finite, infinite, causal, anticausal, energy and power signals, deterministic and stochastic.
 Measures: Power, Energy
 Examples and plotting of signals using MATLAB
 Signal spaces
 Homework #1 handed out on Feb 2
 Week 4  February 9,11, Lectures 5,6
 Signals: classification, operations, standard signals, programming using MATLAB (Chapter 1))
 Homework #1 due Feb 9, Homework #2 handed out
 Week 5  February 16,18, Lectures 7,8
 Systems: properties and classification (Chapter 1)
 Homework #2 due Feb 18, Homework #3 handed out
 Week 6  February 23,25, Lectures 9, 10
 Time domain analysis of systems: (Chapter 2)
 Homework #3 due Feb 25, Homework #4 handed out
 Week 7  March 2, 4, Lectures 11, 12
 Time domain analysis of systems: (Chapter 2)
 Homework #4 due March 4.
 Week 8  March 9, 11, Lectures 13, 14
 Inclass Midterm I on March 9: covers: basic signals, systems, timedomain analysis.
 Lecture 14 summary
 Time domain analysis of systems: (Chapter 2)
 Frequency domain analysis of systems: (Chapter 4)
 Homework #5 handed out on March 11.
 Week 9  March 16, 18, Spring Break
 Week 10  March 23, 25, Lectures 15, 16
 Frequency domain analysis of systems: (Chapter 4)
 Homework #5 due on March 25, Homework #6 handed out .
 Week 11  March 30, April 1, Lectures 17, 18
 Frequency domain analysis of systems:
 Homework #6 due on April 1, Homework #7 handed out.
 Week 12  April 6, 8, Lectures 19, 20
 Frequency domain analysis of systems:
 State space analysis of systems: (Chapter 10)
 Homework #7 due on April 8. Homework #8 handed out.
 Week 13  April 13, 15, Lectures 21, 22
 State space analysis of systems: (Chapter 10)
 State equations
 Time domain and frequency domain solutions
 Linear tranaformations of state
 Controllablity and Observability
 Midterm II (Takehome) handed out April 13, covers frequency domain and statespace analysis.
 Week 14  April 20, 22, Lectures 23, 24
 Fourier analysis of signals (Chapter 6)
 Homework #8 due April 22, Homework #9, handed out on April 22.
 Midterm #2 due April 20 in class. Midterm 2 grades will be returned only by appointment (see instructions).
 Week 15  April 27, 29, Lectures 25, 26
 Fourier analysis of signals (Chapter 6)
 Fourier series: convergence
 Lecture 25 notes
 LTI system response to periodic inputs
 Fourier analysis of systems (Chapter 7)
 Homework #9 due April 29, Homework #10 handed out.
 Week 16  May 4, 6, Lectures 27, 28
 Fourier analysis of systems (Chapter 7)
 Connection between Laplace and Fourier Transform
 Application to signal processing: filters and window functions
 Application to signal processing: filters and window functions
 Parseval's Theorem
 Lecture 28 notes
 Course recap and exam preparation
 Homework #10 due May 6.
 Week 17  May 11
 Final exam (inclass) (comprehensive)
 May 11, 8am10:30am, NH 202
 Bring a 5page, doublesided cheat sheet, handwriting only



12. Specific Course Requirements:
 Homeworks: 10
 Examinations: Two midterms (one inclass, one takehome) and one final
 Final Examination: Final Exam Comprehensive
 Missed deadlines for takehome exams and homeworks: Maximum grade drops 15% per late day
 Grading Format Weighting: 30%  Homeworks, 20%  Midterm 1, 20%  Midterm 2, 30%  Final. Grading will be curved based on class average, generally >90% will be an A, 7590% B, 6075% C, 5060% D, <50% F.
 Academic Dishonesty will not be tolerated. All homeworks and exams are individual assignments. Discussing homework assignments with your classmates is encouraged, but the turnedin work must be yours. Discussing exams with classmates is not allowed. Your takehome exams and homeworks will be carefully scrutinized to ensure a fair grade for everyone.
 Random quizzes on turnedin work: Every student will be required to answer quizzes in person at least twice during the semester for homework and take home exam. You will receive invitations to stop by during office hours. Credit for turned in work may be rescinded for lack of familiarity with your submissions.
 Attendance and Drop Policy: Attendance is not mandatory but highly encouraged. If you skip classes, you will find the homework and exams much more difficult. Assignments, lecture notes, and other materials re going to be posted here, however, due to the pace of the lectures, copying someone else's notes may be an unreliable way of making up an absence. You are responsible for all material covered in class regardless of absences.
 Syllabus Summary

13. Online Assignment Materials
 Homeworks
 Exams
 Useful Websites
 Matlab Links


