Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Signals And Systems CE303 English Compulsory 5. Semester 2 + 0 2.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face-to-face
Course Coordinator Dr. Öğr. Üyesi Osman AKBULUT
Instructor(s) Dr. Öğr. Üyesi Osman AKBULUT (Güz)
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
# Öğrenme Kazanımı
1 Understand the fundamental concepts of discrete-time signals and systems.
2 Model discrete-time linear time-invariant (LTI) systems using impulse response.
3 Modelling of the linear and time-invariant systems by the difference equations method
4 Modelling of the linear and time-invariant systems by the state equations method
5 Understanding Z-transform
6 Understanding Z-transformation applications
7 Understanding spectrum analysis of the analog signals and fourier transform
8 Fourier ve ters Fourier dönüşümleri
9 Sampling in time and frequency domains
10 Overlap in time and frequency domains and Shannon's theorem
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
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
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 DK9 DK10
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • 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
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
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
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0