ELECTRICAL AND ELECTRONICS ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE3501 Signals and Systems Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Must Course
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. SAEID KARAMZADEH
Course Lecturer(s): Assoc. Prof. ALKAN SOYSAL
Dr. Öğr. Üyesi YALÇIN ÇEKİÇ
Prof. Dr. NAFİZ ARICA
Course Objectives: Signals and Systems is an introduction to analog and digital signal processing. A topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, defense electronics, consumer electronics, and consumer products.
The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering, sampling, Laplace, and Z transforms are discussed and illustrated too.

Learning Outputs

The students who have succeeded in this course;
1. Defines basic properties of continuous-time and discrete-time signals.
2. Describes basic signals (impulse, step, sinusoidal, exponentiation and etc) and systems.
3. Convolution
4. Properties of linear, time-invariant systems
5. Fourier Series (continuous-time and discrete-time)
6. Fourier Transforms(continuous-time and discrete-time)
7. Filtering and sampling
8. Describes the Laplace transform and the z-transform.

Course Content

Introduction to Signals and Systems; Review of basic signals (impulse, step, sinusoidal, exponentiation and etc) and systems, Convolution, Properties of linear, time-invariant systems, Fourier Series (continuous-time and discrete-time), Fourier Transforms(continuous-time and discrete-time), Filtering and sampling, Laplace Transform and Z-Transform.


Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Signals and Systems; Continuous-Time and Discrete-Time Signals; Operations of the independent variables, Even and odd signals, Periodicity, Signal Energy and Power
2) Basic C-T and D-T signals (Sinusoidal, Exponential, Unit Step, Unit İmpulse), Systems: connections, properties.
3) Convolution
4) Properties of Linear, Time-Invariant Systems
5) Systems represented by differential and difference equations
6) Fourier Series Representation of Continuous-Time Periodic Signal
7) Fourier Series Representation of Discrete-Time Periodic Signal, Filtering
8) Midterm Exam
9) Continuous-Time Fourier Transform
10) Sürekli Zaman Fourier Dönüşümünün Özellikleri
11) Systems Characterized by Linear Constant Coefficient Differential Equations
12) Discrete Fourier Transform Sampling"
13) The Laplace Transform; The Region of Convergence for Laplace Transforms; The Inverse Laplace Transform; Pole-Zero Plots; Properties of the Laplace, Analysis, and Characterization of LTI Systems Using The Laplace Transform
14) The z-Transform; The Region of Convergence for the z-Transform; The Inverse z-Transform; Properties of the z-Transform, Analysis and Characterization of LTI Systems Using z-Transforms

Sources

Course Notes: Alan V. oppenhiem, S. willsky and S. Hamid Nawab, “Signals and Systems”
References: Video Lectures by Oppenheim https://ocw.mit.edu/resources/res-6-007-signals-and-systems-spring-2011/video-lectures/

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 0 % 0
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 0 % 0
Presentation 0 % 0
Project 0 % 0
Seminar 0 % 0
Midterms 2 % 60
Preliminary Jury 0 % 0
Final 1 % 40
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 5 70
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 2 3 6
Paper Submission 0 0 0
Jury 0 0 0
Final 1 3 3
Total Workload 121

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Adequate knowledge in mathematics, science and electric-electronic engineering subjects; ability to use theoretical and applied information in these areas to model and solve engineering problems. 5
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. 4
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) 4
4) Ability to devise, select, and use modern techniques and tools needed for electrical-electronic engineering practice; ability to employ information technologies effectively. 2
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems. 3
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. 1
7) Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. 1
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.