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Course Number & Title:
ENGR 253, "Signals & Systems" , 5 Credits
"4 hours of lecture and 3 hours of lab (Open Lab Schedule)"

Instructor:
Office hours & Contact Information

Text Books:
Signals & Systems by Oppenheim
Signals & Systems Fundamentals (SSF) by Khormaee Link to pdf

* Canvas Learning Management System
* www.EngrCS.com
* An engineering or scientific calculator such as TI-89

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 Ch 4 Problems Lab #2 Midterm Test 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.
ENGINEERING & COMPUTER SCIENCE COURSE POLICIES:
Visit ECS Course Policies for additional important and supporting materials.

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