Syllabus Application
ENS 211
Signals
Faculty
Faculty of Engineering and Natural Sciences
Semester
Fall 2026-2027
Course
ENS 211 -
Signals
Time/Place
Time
Week Day
Place
Date
14:40-15:30
Mon
FASS-1050
Sep 28-Dec 31, 2026
10:40-12:30
Tue
FASS-1010
Sep 28-Dec 31, 2026
Level of course
Undergraduate
Course Credits
SU Credit:3, ECTS:6, Basic:3, Engineering:3
Prerequisites
MATH 101
Corequisites
ENS 211R
Course Type
Lecture
Instructor(s) Information
Hüseyin Özkan
- Email: hozkan@sabanciuniv.edu
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.
Learning Outcomes:
| 1. | Describe a periodic signal in time domain by defining its properties such as the fundamental period and fundamental frequency. |
|---|---|
| 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
(i) To provide a broad introduction to signals and systems which is one of the best starting points for the study of electrical engineering, computer science, and mechatronics.
(ii) To introduce the use of mathematics as an appropriate language for thinking about engineering problems broadly and for describing and understanding signals and systems in particular.
(ii) To introduce the use of mathematics as an appropriate language for thinking about engineering problems broadly and for describing and understanding signals and systems in particular.
Sustainable Development Goals (SDGs) Related to This Course:
| Industry, Innovation and Infrastructure |
Course Materials
Resources:
Textbook : Signal Processing First, James H. McClellan, Ronald W. Schafer, Mark
A. Yoder, Pearson Education, 2003.
Textbook Website : https://dspfirst.gatech.edu/
A. Yoder, Pearson Education, 2003.
Textbook Website : https://dspfirst.gatech.edu/
Technology Requirements:
MATLAB