Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5EEM341Signals And Systems3+0+035

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical-Electronics Engineering
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Öğrencilere sinyallerin ve sistemlerin tipleri ile özelliklerini öğretmek, öğrencilerin LZDm sistemlerin zaman ve frekans domeni analizlerini yapabilmesini sağlamak
Course Content Sinyallerin sınıflandırılması ve özellikleri, sürekli ve ayrık zamanlı sinyaller, sistemlerin sınıflandırılması ve özellikleri, lineer zamanla değişmeyen (LZDm) sistemlerin özellikleri, sürekli ve ayrık zamanlı sinyallerin
konvolüsyonu, LZDm sistemlerin diferansiyel ve fark denklemleri, LZDm sistemlerin impuls ve darbe yanıtları, Laplace dönüşümü, z-dönüşümü, Fourier dönüşümleri, Fourier serileri
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Murathan ALPAY
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Schaum's Outline of Signals and Systems, Hwei P. Hsu, 3rd Ed., McGraw Hill LLC
Signals & Systems, 2nd Ed., Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Prentice Hall
Signals and Systems with MATLAB applications, Steven T. Karris, Orchard Publications, 2003

Course Category
Mathematics and Basic Sciences %80
Engineering %20

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 1 14 14
Final examination 1 28 28
Total Work Load   Number of ECTS Credits 5 126

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Being able to classificate the signals and systems according to their properties
2 Being able to determine the properties of linear and time-invariant systems.
3 Being able to make time domain analysis of linear and time-invariant systems that are modelled with derivative and difference equations
4 Being able to make frequency domain analysis of linear and time-invariant systems
5 Being able to use transforms and inverse transforms


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Classification and properties of the signals
2 Continuous time signals and discrete time signals
3 Classification and properties of the systems
4 Properties of linear and time-invariant systems
5 Convolutions of continuous-time and discrete-time signals
6 Convolutions of continuous-time and discrete-time signals-2
7 Difference equations of linear and time-invariant systems
8 Laplace Transform
9 Laplace transform-2
10 Continuous-time Fourier transforms
11 Continuous-time Fourier series
12 Discrete-time Fourier transforms and discrete-time Fourier series
13 Discrete Fourier Transform
14 Z-transform


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P99
All 5 4 3 2 1 1 1 1 1 1 1 1
C1 5 4 3 2 1 1 1 1 1 1 1 1
C2 5 4 3 2 1 1 1 1 1 1 1 1
C3 5 4 3 2 1 1 1 1 1 1 1 1
C4 5 4 3 2 1 1 1 1 1 1 1 1
C5 5 4 3 2 1 1 1 1 1 1 1 1

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https://obs.gedik.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=206249&curProgID=92&lang=en