Continuous Signals and Systems
EE 3417 Fall 2015
1. Instructor and TAs 
Dan Popa / Rommel Alonzo 
2. Office Location: 
NH 543/NH 250 
3. Office Hours: 
Instructor: Tuesday/Thursday 9:3011:00 am or by appointment in NH 543
TAs: TBD 
4. Phone: 
8172723342 
5. Fax: 
8172722253 


6. Email: 
popa@uta.edu, rommel.alonzo@mavs.uta.edu 
Lecture venue: 
NH 229, Tu/Th 12:301:50 pm 
Lab venue: 
ELB256, Tu/Th 11:00am12:20pm and 2:00pm3:20pm 
7. Course Prerequisites:

EE 3417 prerequisite: Grade C or better in both EE 2347 and EE 2415.

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) For nonelectrical engineering majors. Timedomain transient analysis, convolution, Fourier Series and Transforms, Laplace Transforms and applications, transfer functions, signal flow diagrams, Bode plots, stability criteria, and sampling. Classes meet concurrently with EE 3417.
Catalog description: EE 3417 CONTINUOUS SIGNALS AND SYSTEMS (33) Timedomain transient analysis, convolution, statespace analysis, frequency domain analysis, Laplace transforms and transfer functions, signal flow and block diagrams, Bode plots, stability criteria, Fourier series and transforms. Applications from control systems and signal processing. Problems and numerical examples using MATLAB will be covered during recitation and computer laboratory sessions.
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
 Fourier analysis of signals and sampling
 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 describe systems using modern statespace approaches.
 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  August 27, Lecture 1
 Introduction to signals and systems, syllabus and examples.
 Online material
 Review of basics: Matrix and vector algebra, complex numbers, integrals and series. (Background), MATLAB programming
 Online materials:
 Week 2  Sept 1, 3 Lectures 2,3
 Review of basics: Matrix and vector algebra, complex numbers, integrals and series. (Background), MATLAB programming
 Homework #1 handed out on Sept 1
 Week 3  Sept 8, 10, Lectures 4,5
 Signals: classification, operations, standard signals (Chapter 1)
 Notes
 Operations: Time Shifting, Scale, Reversal
 Classification: analog, digital, periodic, aperiodic, finite, infinite, causal, anticausal, energy and power signals, deterministic and stochastic.
 Measures: Power, Energy
 Signal spaces
 Week 4  Sept 15, 17, Lectures 6, 7
 Signal Models, step, impulse, exponential, odd, even functions
 Quiz 1 @ Lab: Signals Sept 15
 Systems: properties and classification (Chapter 1)
 LTI/LTV, memory/dynamic, causal/anticausal, invertible/noninvertible
 Basic models: electrical/mechanical, internal and external description
 Notes
 Homework #1 due Sept 15, Homework #2 handed out
 Week 5  Sept 22, 24, Lectures 8, 9
 Quiz 2 @ Lab : Systems Sept 22
 Time domain analysis of systems: (Chapter 2)
 Differential equations and solutions
 Response: zero input, impulse response
 Notes
 Week 6  Sept 29, Oct 1, Lectures 10, 11
 Time domain analysis of systems: (Chapter 2)
 Homework #2 due Sept 29, Homework #3 handed out
 Week 7  Oct 6, 8, Lectures 12, 13
 Quiz 3 @ Lab: Time Domain I/O Analysis of Systems, Oct 6
 State space analysis of systems: (Chapter 10)
 State equations
 Notes
 Time domain and solutions
 System realizations
 Review list for Midterm 1
 Week 8  Oct 13, 15, Lectures 14, 15
 Homework #3 due Oct 13,
 Inclass Midterm on Oct 13: covers: basic signals, systems, timedomain analysis.
 Homework #4 handed out Oct 15
 Frequency domain analysis of systems: (Chapter 4)
 Week 9  Oct 20, 22, Lectures 16, 17
 Quiz 4 @ Lab: Laplace transforms Oct 22
 Frequency domain analysis of systems: (Chapter 4)
 Week 10  Oct 27, 29, Lectures 18, 19
 Homework #4 due Oct 29 , Homework #5 handed out
 Frequency domain analysis of systems:
 Week 11  Nov. 3, 5 Lectures 20, 21
 State space analysis of systems: (Chapter 10)
 Frequency Domain Solutions
 Midterm II (Takehome) handed out Nov 5, covers frequency domain.
 Homework #5 due Nov. 5
 Week 12  Nov. 10, 12 Lectures 22, 23
 Midterm #2 due Nov. 10 in class. Midterm 2 grades will be returned only by appointment (see instructions).
 Homework #6 handed out on Nov. 10
 Fourier analysis of signals (Chapter 6)
 Fourier series: existence, calculation
 Trigonometric and exponential series
 Lecture notes
 Fourier series: convergence
 Week 13  Nov. 17, 19 Lectures 24, 25
 Parseval's theorem
 Lecture notes
 LTI system response to periodic inputs
 Quiz 5 @ Lab: Fourier Series, Nov 19
 Fourier analysis of systems (Chapter 7)
 The Fourier Transform and its properties
 Lecture notes
 Connection between Laplace and Fourier Transform
 Week 14  Nov. 24 Lecture 26
 Week 15  Dec 1, 3 Lectures 27, 28
 Quiz 6 @ Lab: Fourier Transforms, Dec 1
 Sampling (Chapter 8)
 Week 16  Dec 8 Lecture 29
 Week 17 Dec 14
 Final exam (inclass) (comprehensive) TBD
 Bring a 5page, doublesided cheat sheet, handwriting only



12. Specific Course Requirements:
 Homeworks: 6
 Quizes: 6
 Examinations: One inclass midterm, One takehome midterm, one final exam, and 6 inclass Quizes
 Final Examination: Final Exam Comprehensive
 Missed deadlines for takehome exams and homeworks: Maximum grade drops 25% per late day if allowed
 Grading Format Weighting (EE 3417): 20%  Homeworks, 20%  Midterm 1, 20% Midterm 2, 20%  Quizes, 20%  Final.
 Grading Format Weighting (EE 3317): 25%  Homeworks, 25%  Midterm 1, 25% Midterm 2, 25%  Quizes, 25%  Final.
 Grading will be curved based on class average, generally >80% will be an A, 6080% B, 5060% C, 3050% D, <30% 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. Your exams and homeworks will be carefully scrutinized to ensure a fair grade for everyone.
 Random Quizes on turnedin work: Every student will be required to answer Quizes in person at least once during the semester for homework.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 are 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 EE3417

13. Online Materials
 Homeworks
 Exams
 Lab Materials EE 3417
 Useful Websites
 Matlab Links


