Course Number & Title:
ENGR 253, "Signals & Systems" , 5 Credits
"4 hours of lecture and 3 hours of lab (Open Lab Schedule)"
Instructor:
Izad Khormaee
Office hours & Contact Information
Text Books:
Signals & Systems by Oppenheim
Signals & Systems Fundamentals (SSF) by Khormaee Link to pdf
Additional Material:
Canvas Learning Management System
www.EngrCS.com
An engineering or scientific calculator such as TI89
USB flash drive
MATLAB & Simlink Student Version Software from Mathworks, Inc. (Optional)
Prerequisite
ENGR 252
COURSE DESCRIPTION & OUTCOMES:
Course Description and Outcomes:
This is the third course in Electrical Circuits/Signals & Systems 3course sequence. The student learning objectives are outlined below:
Course Outcomes 
Assessments 
Program Outcomes 
1. Understanding of core concepts and applications of signal processing and linear system theory 
Homework, Test, Lab 
AST2A, B, C 
2. Utilization of Fourier Analysis in both continuous and discrete time signals and systems 
Homework, Test, Lab 
AST2B, C 
3. Application of sampling and reconstruction to continuoustime and discretetime conversion 
Homework, Test, Lab 
AST2B, C 
4. Modulating and demodulating informationbearing signal 
Homework, Test, Lab 
AST2A,B 
5. Understanding of Laplace transform and Ztransform including their application to Signal and Systems 
Homework, Test, Lab 
AST2B 
6. Application of MATLAB solving Signal and Systems problems 
Lab 
AST2B 
7. Demonstrate the ability to work effectively in a team 
Lab 
AST2Foundation 
TENTATIVE COURSE OUTLINE:
Lecture Topics

Assignments/Labs

SSF Ch 2. Linear TimeInvariant (LTI) Systems
 DiscreteTime LTI Systems: The Convolution Sum
 ContinuousTime LTI Systems: The Convolution Integral
 Properties of LTI Systems
 Causal LTI Systems Described by Differential and Difference Equations
 Singularity Functions
 Statistical Approach to Noise


SSF Ch 3. Fourier Series Representation of Periodic Signals
 The Response of LTI Systems to Complex Exponentials
 Fourier Series Representation of ContinuousTime Periodic Signals
 Convergence of the Fourier Series
 Properties of ContinuousTime Fourier Series
 Fourier Series Representation of DiscreteTime Periodic Signals
 Properties of DiscreteTime Fourier Series
 Fourier Series and LTI systems
 Continuoustime and DiscreteTime Filtering


SSF Ch 4. The continuousTime Fourier Transform
 Representation of Aperiodic Signals: The ContinuousTime Fourier Transform
 The Fourier Transform for Periodic Signals
 Properties of the ContinuousTime Fourier Transform
 The Convolution Property
 The Multiplication Property
 Systems Characterized by Linear ConstantCoefficient Differential Equations


SSF Ch 5. The discretetime Fourier transform
 Representation of Aperiodic Signals: The DiscreteTime Fourier Transform
 The Fourier Transform for Periodic Signals
 Properties of the DiscreteTime Fourier Transform
 The Convolution Property
 The Multiplication Property
 Duality
 Systems Characterized by Linear ConstantCoefficient Difference Equations


SSF Ch 6. Sampling
 The Sampling Theorem
 Reconstruction of signal from its Samples Using Interpolation
 Aliasing: The Effect of Undersampling
 DiscreteTime Processing of ContinuousTime Signals
 Sampling of DiscreteTime Signals
 Statistical Sampling


SSF Ch 7. Communication Systems
 Complex Exponential and Sinusoidal Amplitude Modulation
 Demodulation for Sinusoidal AM
 FrequencyDivision Multiplexing
 SignalSideband Sinusoidal Amplitude Modulation
 Amplitude Modulation with a PulseTrain Carrier
 PulseAmplitude Modulation
 Sinusoidal Frequency Modulation
 DiscreteTime Modulation


SSF Ch 8. Laplace Transform
 The Laplace Transform
 The Inverse Laplace Transform
 Geometric Evaluation of the Fourier Transform from the PolesZero Plot
 Properties of the Laplace Transform
 Analysis and Characterization of LTI Systems Using the Laplace Transform
 System Function Algebra and Block Diagram Representations
 Unilateral Laplace Transform


SSF Ch 9. ZTransform
 The ZTransform
 The Region of Convergence
 The Inverse ZTransform
 Geometric Evaluation of the Fourier Transform from the PolesZero Plot
 Properties of the ZTransform
 Analysis and Characterization of LTI Systems using ZTransforms
 System Function Algebra and Block Diagram Representations
 The Unilateral ZTransform


Comprehensive Final Exam  for schedule visit: www.clark.edu/academics/schedule 
ASSESSMENT:
 Quizzes (20 points each)
Each quiz consists of a homework problem and a problem to be solved inclass.
 Midterm test (100 points)
 Comprehensive final exam (150 points)
 Labs Planning, Execution and Reports (20 points each lab)
Each student is expected to complete the weekly lab assignments during lab time. Even though some labs may be performed as a group, the report must be completed individually, and due on the following lab period.
Note: In order to be eligible to receive a passing grade for the course, all labs must be completed and turned in prior to final exam date.
 Service Learning Project (40 points)
Update design and improve project implementation. Access ECS club for more information.
ENGINEERING & COMPUTER SCIENCE COURSE POLICIES:
Visit ECS Course Policies for additional important and supporting materials.
