Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Signals And Systems CE303 5. Semester 2 + 0 2.0 4.0
Prerequisites None
Language of Instruction English
Course Level Undergraduate
Course Type
Mode of delivery Face-to-face
Course Coordinator Lect. Dr. Osman AKBULUT
Instructors Osman AKBULUT
Assistants
Goals Aim of this course is to form an infrastructure to the students that will practically research on the topics, concerning digital signal processing and digital control systems
Course Content Discrete-time signals and systems, modelling of the linear and time-invariant systems by unit impuls response method, difference and state equations method, z transform, invers z transform, z transformation applications and stability, spectrum analysis of the analog signals and fourier transform, sampling in time and frequency domain
Learning Outcomes - Understand the fundamental concepts of discrete-time signals and systems.
- Model discrete-time linear time-invariant (LTI) systems using impulse response.
- Modelling of the linear and time-invariant systems by the difference equations method
- Modelling of the linear and time-invariant systems by the state equations method
- Understanding Z-transform
- Understanding Z-transformation applications
- Understanding spectrum analysis of the analog signals and fourier transform
- Fourier ve ters Fourier dönüşümleri
- Sampling in time and frequency domains
- Overlap in time and frequency domains and Shannon's theorem
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Clasifications of the signals
2. Week Discrete-time signals and serials
3. Week Discrete-time systems and their specifications
4. Week Modelling of the linear and time-invariant systems by unit impulse response method
5. Week Convolution and its specifications
6. Week Modelling of the linear and time-invariant systems by the difference equations method
7. Week Natural, constrained and total solution
8. Week Modelling of the linear and time-invariant systems by the state equations method
9. Week Definition and specifications of Z transformation
10. Week Inverse Z transform and its transformation methods
11. Week Z Transform and Stability of Discrete (Digital) Systems
12. Week Spectrum analysis of the analog signals and fourier transform
13. Week Fourier and inverse Fourier transforms
14. Week Sampling in time and frequency domain
Recommended Sources
Oppenheim, A. V. and Schafer, R. W., Discrete-Time Signal Processing, Prentice Hall Signal Processing Series
Orhan Gazi, Sinyaller ve Sistemler, Seçkin Yayıncılık
Hwei P. Hsu, Sinyal ve Sistemler, Seçkin Yayıncılık
Lecture Notes
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 DK9 DK10 Measurement Method
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 9 9
Homework 1 14 2 28
Homework 2 14 2 28
Final 1 9 9
Classroom Activities 14 2 28
Total Workload 102
ECTS Credit of the Course 4.0