BİLGİ PAKETİ / DERS KATALOĞU
1410321008 Signals and Systems
Degree Programs
COMPUTER ENGINEERING
Diploma SupplementNational Qualifications
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1410321008
Ders İsmi: Signals and Systems
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi Recep DURANAY
Course Lecturer(s): Prof. Dr. Çağatay ULUIŞIK
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: To teach general concepts in systems theory, to teach transformation techniques developed for the representation and analysis of continuous and discrete-time systems, and to emphasize their similarities and differences with each other.
Course Content: Basic concepts, definitions, linear time invariant systems, eigenfunction, convolution in continuous and discrete time, differential equations and difference equations, laplace transform and its applications, z-transform and discrete linear time invariant systems, Fourier series, Fourier transform, filtering, bandwidth , discrete Fourier transform.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) 1) To learn the classifications and basic concepts of signals and systems
2 - Skills
Cognitive - Practical
1) 2) To see where some of the analysis methods they have learned before take place in the whole and to understand their importance
3 - Competences
Communication and Social Competence
Learning Competence
1) 3) To gain the ability to make the right decision about what kind of problem the given problem is and with which transformation techniques it can be solved more easily.
Field Specific Competence
Competence to Work Independently and Take Responsibility
1) 4) To see how a computer program facilitates the solution and gain skills by solving the questions given in the book followed or solved during the lesson using MATLAB, for example, with given assignments

Ders Akış Planı

Week Subject Related Preparation
1) Classification of Signals and Systems: Discrete-Time, Continuous-Time, Analog, Digital etc. Some typical signals: Impulse, Step, Ramp, Rectangular Pulse, Periodical, Exponential etc. 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
2) System Properties: Causal, Memoryless, Linear, Time-Invariant, Finite Dimension, Continuous etc. 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
3) Convolution Representation, Convolution of two Signals, Array Method, Properties of Convolution Operation, Impulse Response 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
4) Difference Equation Representation of Discrete-Time Systems, Solutions of Difference Equations: Homogeneous, Particular, Complete Solutions. 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
5) Implementation of Discrete-Time Systems, System Modelling with Simulation (Block) Diagrams, Direct Form I and Direct Form II Implementation 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
6) Solution of Discrete-Time State Equations: State Transition Matrix and Impulse Response Stability: Bounded-Input Bounded-Output, in the sense of Lyapunov. 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
7) Frequency-Domain Description of Continuous-Time Systems: Signal Representation by Orthogonal Signals, Exponential Fourier Series, Trigonometric Fourier Series of Real Signals, Effects of Symmetry 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
8) Midterm exam
9) Energy and Power Signals, Parseval’s Theorem, Gibbs Phenomenon. 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
10) Fourier Dönüşümü, Fourier Dönüşümünün Özellikleri: Doğrusallık, Simetri, Ölçekleme Kaydırma 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
11) Properties of the Fourier Transform: Modulation, Convolution, Differentiation, Integration, Time Reversal etc., Parseval’s Relations, Applications of Fourier Transform: Amplitude Modulation 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
12) Frequency-Domain Description of Discrete-Time Systems: The z-Transform and its Properties, Region of Convergence, the Inverse z-Transform, Transfer Functions 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
13) Discrete-Time Fourier Series, Discrete-Time Fourier Transform (DTFT), Properties of the Discrete-Time Fourier Transform 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
14) Discrete Fourier Transform (DFT) and its Properties, the Inverse DFT, Fast Fourier Transform (FFT), Relation between Continuous-Time and Discrete-Time Transforms 1.Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996. 2.Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall, 2nd Edition, 1998. 3.Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
15) Final exam

Sources

Course Notes / Textbooks: Schaum’s Outlines Sinyaller ve Sistemler, Hwei Hsu, Mc. Graw Will, 2001.
Fundamentals of Signals and Systems Using Matlab, E.W. Kamen, B.S. Heck, Prentice Hall,
2000.
Signals and Systems, A.V. Oppenheim, A.S. Willsky, Prentice Hall, 2nd Edition, 1996.
Continuous and Discrete-Time Signals and Systems, S.S. Soliman, M.D. Srinath, Prentice Hall,
2nd Edition, 1998.
Signals and Systems, H.P. Hsu, Schaum’s Outlines, McGraw-Hill, 1995.
References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions. 5
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 10
Homework Assignments 5 % 20
Midterms 1 % 30
Semester Final Exam 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 35 3 105
Midterms 1 2 2
Final 1 3 3
Total Workload 152