Syllabus Application
Signals
ENS 211
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Signals - ENS 211
Classroom:
FASS-G022,FENS-G035
Level of course:
Undergraduate
Course Credits:
SU Credit:3.000, ECTS:6, Basic:3, Engineering:3
Prerequisites:
MATH 101
Corequisites:
ENS 211R
Course Type:
Lecture
Instructor(s) Information
Mohaned Chariti
Course Information
Catalog Course Description
Continuous and discrete, periodic and aperiodic signals, impulse, unit step signals. Spectrum representation of a signal. Fourier series representation of periodic signals. System concept. Continuous and Discrete Finite Impulse Response (FIR) Systems. Linear Time Invariant (LTI) Systems. Impulse response and Frequency response of LTI systems. Fourier transform of aperiodic and periodic signals. Filtering in time and frequency domain. Sampling of continuous signals. Aliasing. Bandlimited reconstruction, interpolation. Basic Amplitude Modulation.
Course Learning Outcomes:
| 1. | Describe a periodic signal in time domain by defining its properties such as the fundamental period and fundamental frequency. |
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| 2. | Define a periodic signal as a sum of sinusoids or complex exponentials, i.e., create the Fourier series representation of a periodic signal and reconstruct the signal back from such representation through Fourier analysis and synthesis equations. |
| 3. | Construct the spectrum representation of a periodic signal. |
| 4. | Identify Finite Impulse Response (FIR) systems, Linear Time Invariant (LTI) Systems, and their properties. |
| 5. | Define the impulse response of an LTI system both in continuous-time and discrete-time, and system properties such as stability and causality. |
| 6. | Define the frequency response of an LTI system and its properties. |
| 7. | Construct forward and inverse Fourier Transforms of both periodic and aperiodic continuous-time signals. |
| 8. | Describe ideal frequency selective filters (low-pass, high-pass, band-pass) in the frequency domain. |
| 9. | Perform frequency filtering over the spectrum of a signal. |
| 10. | Describe the Sampling Theorem and conversion between continuous time and discrete-time domains. |
| 11. | Describe basic principles of an Amplitude Modulation and Demodulation System. |
Course Objective
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Course Materials
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Technology Requirements:
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