FACULTY OF ENGINEERING
COMPUTER ENGINEERING
COMPUTER ENGINEERING
Course Name   Signals and Systems
Semester Course Code Theoretical / Practice time ECTS
6 1213658 3 / 0 5
Course Degree Bachelor's degree
Course Language Turkish
Format of Delivery: Face to Face
Course Coordinator Assoc. Prof. Dr. Gülay Tezel
Coordinator e-mail gtezel selcuk.edu.tr
Instructors
Doç.Dr. Gülay Tezel , Dr.Öğr.Üyesi Ömer Kaan Baykan
Asistant Instructors
Görevlendirilen Arş.Gör.
Course Objectives To teach general concepts in systems theory. To teach transformation techniques developed for demostrate continuous and discrete-time systems. To emphasize their similarities and differences with each other.
Basic Sciences Engineering Scinces Social Sciences Educational Sciences Artistic sciences Medical Science Agricultural sciences
30 70 0 0 0 0 0
Course Learning Methods and Techniquies
Face to face
Week Course Content Resource
1 Classification of signal and systems, analog, digital, odd, even, continuous, discrete signals Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
2 The unit step function, the unit impulse function, complex exponential signals, system with memory and without memory, causal and linear systems Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
3 Stability, time invariant, feedback systems, sample problems Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
4 Response of a continous time LTI system and convulution integral and eigenfuntion continous time LTI system Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
5 The systems described with differential equations, discrete time LTI system and convulution sum Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
6 The systems described by difference equations, response of the unit impulse function Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
7 Laplace transform, convergence zone, the concept of zero and pole, laplace transform of some signals Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
8 Midterm exam
9 Properties of Laplace transform, Inverse Laplace transform, system function Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
10 z-transform and discrete time systems, convergence zone, z-transforms of some signals Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
11 Inverse z-Transform, power series expansions, systems functions Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
12 Fourier series representation of periodic signals, fourier transform, Laplace and Fourier transform relationship Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
13 Properties of fourier transform, Parseval theorem, filter and filter type, bandwith Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
14 Discrete fourier transform, fourier transform, the frequency response of discrete time LTI systems Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
15 system respond to sampled continuouns time sinusoids Sinyaller ve Sistemler: Dönüşüm Yöntemleri ve Matlab Kullanarak Çözümleme
Assesment Criteria   Mid-term exam Final exam
  Quantity Percentage Quantity Percentage  
Term Studies : - - - -
Attendance / Participation : - - - -
Practical Exam : - - - -
Special Course Exam : - - - -
Quiz : - - - -
Homework : 2 20 - -
Presentations and Seminars : - - - -
Projects : - - 1 20
Workshop / Laboratory Applications : - - - -
Case studies : - - - -
Field Studies : - - - -
Clinical Studies : - - - -
Other Studies : - - - -
Mid-term exam   1 20 - -
Final exam   - - 1 40
ECTS WORK LOAD TABLE   Number Duration
Course Duration : 14 3
Classroom Work Time : 14 3
Presentations and Seminars : - -
Course Internship : - -
Workshop / Laboratory Applications : - -
Field Studies : - -
Case studies : - -
Projects : - -
Homework : 5 6
Quiz : - -
Mid-term exam : 1 16
Final Exam : 1 20
ECTS 5
No COURSE LEARNING OUTCOMES CONTRIBUTION
D.Ö.Ç. 1 Classification of signals and systems and be able to learn basic concepts 3
D.Ö.Ç. 2 To analysis already learned methods and to solve purpose to problem 3
D.Ö.Ç. 3 To determination of problem type and to select proper transformation techniques 3
D.Ö.Ç. 4 To solve problems with MATLAB software packet 3
* 1: Zayıf - 2: Orta - 3: İyi - 4: Çok İyi
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