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ENGR 253
Signals & Systems

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 TI-89
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 3-course 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 AST2-A, B, C
2. Utilization of Fourier Analysis in both continuous and discrete time signals and systems Homework, Test, Lab AST2-B, C
3. Application of sampling and reconstruction to continuous-time and discrete-time conversion Homework, Test, Lab AST2-B, C
4. Modulating and demodulating information-bearing signal Homework, Test, Lab AST2-A,B
5. Understanding of Laplace transform and Z-transform including their application to Signal and Systems Homework, Test, Lab AST2-B
6. Application of MATLAB solving Signal and Systems problems Lab AST2-B
7. Demonstrate the ability to work effectively in a team Lab AST2-Foundation


TENTATIVE COURSE OUTLINE:

  Lecture Topics   Assignments/Labs
  SSF Ch 2. Linear Time-Invariant (LTI) Systems
  • Discrete-Time LTI Systems: The Convolution Sum
  • Continuous-Time 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 Continuous-Time Periodic Signals
  • Convergence of the Fourier Series
  • Properties of Continuous-Time Fourier Series
  • Fourier Series Representation of Discrete-Time Periodic Signals
  • Properties of Discrete-Time Fourier Series
  • Fourier Series and LTI systems
  • Continuous-time and Discrete-Time Filtering
  SSF Ch 4. The continuous-Time Fourier Transform
  • Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
  • The Fourier Transform for Periodic Signals
  • Properties of the Continuous-Time Fourier Transform
  • The Convolution Property
  • The Multiplication Property
  • Systems Characterized by Linear Constant-Coefficient Differential Equations
  SSF Ch 5. The discrete-time Fourier transform
  • Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
  • The Fourier Transform for Periodic Signals
  • Properties of the Discrete-Time Fourier Transform
  • The Convolution Property
  • The Multiplication Property
  • Duality
  • Systems Characterized by Linear Constant-Coefficient Difference Equations
  SSF Ch 6. Sampling
  • The Sampling Theorem
  • Reconstruction of signal from its Samples Using Interpolation
  • Aliasing: The Effect of Undersampling
  • Discrete-Time Processing of Continuous-Time Signals
  • Sampling of Discrete-Time Signals
  • Statistical Sampling
  SSF Ch 7. Communication Systems
  • Complex Exponential and Sinusoidal Amplitude Modulation
  • Demodulation for Sinusoidal AM
  • Frequency-Division Multiplexing
  • Signal-Sideband Sinusoidal Amplitude Modulation
  • Amplitude Modulation with a Pulse-Train Carrier
  • Pulse-Amplitude Modulation
  • Sinusoidal Frequency Modulation
  • Discrete-Time Modulation
  SSF Ch 8. Laplace Transform
  • The Laplace Transform
  • The Inverse Laplace Transform
  • Geometric Evaluation of the Fourier Transform from the Poles-Zero 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. Z-Transform
  • The Z-Transform
  • The Region of Convergence
  • The Inverse Z-Transform
  • Geometric Evaluation of the Fourier Transform from the Poles-Zero Plot
  • Properties of the Z-Transform
  • Analysis and Characterization of LTI Systems using Z-Transforms
  • System Function Algebra and Block Diagram Representations
  • The Unilateral Z-Transform
  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 in-class.
  • 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.
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Visit ECS Course Policies for additional important and supporting materials.