Information Package / Course Catalogue
Signals and Systems
Course Code: EE303
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The objective of the course is to provide students with information about basic signals and systems, to introduce continuous and discrete signals and to teach how to analyze signals and systems in time and frequency domains.

Course Content

Continuous and discrete time signals and systems, System properties, Linearity, Time invariance, Causality, Stability, Memory, Linear time invariant (LTI) systems and Convolution theorem, continuous and discrete time Fourier series, continuous and discrete time Fourier transforms; Laplace and z-transform, Region of convergence analysis.

Name of Lecturer(s)
Prof. Yılmaz KALKAN
Learning Outcomes
1.To have knowledge and understanding of discrete and continuous time signals and systems.
2.To be able to analyze discrete and continuous time systems in the time domain, to find the system response for a given input signal.
3.To learn how to represent systems in the time and frequency domain and how to move from one plane to another.
4.To learn how to obtain system responses to standard signals (impulse response, step response), to analyze system properties with different methods.
5.To learn and apply basic time-frequency conversion techniques.
Recommended or Required Reading
1.Signals and Systems, Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, 2nd Edition, Prentice-Hall, 1997.
2.Signals and Systems - Continuous and Discrete, R.F. Ziemer, W.H. Tranter, and D.R. Fannin, 4th Edition. Prentice Hall, 1998.
Weekly Detailed Course Contents
Week 1 - Theoretical
Signal properties, Odd and even signals, energy and power type signals, basic signals in discrete and continuous time.
Week 2 - Theoretical
Continuous and Discrete time system properties, Memory, Linearity, Time invariance, Causality, Stability, Invertebility.
Week 3 - Theoretical
Linear time-invariant (LTI) systems, Impulse response of LTI systems, the convolution integral and the convolution sum
Week 4 - Theoretical
Computation of the response of the Continuous time LTI systems.
Week 5 - Theoretical
Computation of the response of the discrete time LTI systems.
Week 6 - Theoretical
The Continuous time Fourier series (CTFS)
Week 7 - Theoretical
The Discrete time Fourier series (DTFS)
Week 8 - Theoretical
The Continuous time Fourier transform (CTFT) and its properties.
Week 9 - Theoretical
The Continuous time Fourier transform (CTFT) and its properties.
Week 10 - Theoretical
The Discrete time Fourier transform (DTFT) and its properties.
Week 11 - Theoretical
The Laplace Transform. The Region of Convergence (ROC) for the Laplace Transform, The Inverse Laplace Transform
Week 12 - Theoretical
Properties of the Laplace Transform. Some Laplace Transform Pairs.
Week 13 - Theoretical
The z-Transform. The ROC for the z-Transform.
Week 14 - Theoretical
The Inverse z-Transform. Properties of the z-Transform.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%50
Assignment5%20
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Assignment52220
Individual Work141128
Midterm Examination110212
Final Examination110212
TOTAL WORKLOAD (hours)128
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
5
2
3
1
1
2
2
2
2
2
OÇ-2
5
5
2
3
1
1
2
2
2
2
2
OÇ-3
5
5
2
3
1
1
2
2
2
2
2
OÇ-4
5
5
2
3
1
1
2
2
2
2
2
OÇ-5
5
5
2
3
1
1
2
2
2
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026