Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Signals and Systems EEM363 Turkish Compulsory 5. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery In class
Course Coordinator Doç. Dr. FURKAN AKAR, Arş. Gör. Mehmet Merih LEBLEBİCİ
Instructor(s) Arş. Gör. Mehmet Merih LEBLEBİCİ (Güz), Doç. Dr. FURKAN AKAR (Güz)
Goals To provide information on the analysis of continuous-time and discrete-time linear systems
Course Content Classification of signals and systems, LTI systems, Laplace and Fourier transforms, Fourier series, z-transform
Learning Outcomes
# Öğrenme Kazanımı
1 Classify continuous-time signals and systems
2 Analyze continuous-time and discrete-time signals and systems in time-domain
3 Analyze continuous-time and discrete-time signals and systems in frequency-domain
4 Analyze continuous-time and discrete-time signals and systems in transform-domain
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Classification of signals and systems, basic signals.
2. Week Linear Time-Invariant (LTI) systems, impulse response, convolution
3. Week Time-domain analysis of LTI systems
4. Week Differential and difference equations
5. Week Continuous Time LTI Systems and Laplace Transform
6. Week Properties of Laplace Transform
7. Week Continuous-Time Fourier Series
8. Week Mid-term
9. Week Continuous-Time Fourier Transform and Its Properties
10. Week Frequency Characterization of LTI Systems
11. Week Sampling
12. Week Z-transform
13. Week Inverse Z-transform
14. Week Analysis of characterization of LTI systems using Z-transforms
*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.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science, and related engineering disciplines; ability to use theoretical and applied information in these areas to solve complex engineering problems.
2 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device, or product under realistic constraints and conditions to meet specific requirements; ability to apply modern design methods for this purpose.
4 Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively.
5 Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics.
6 Ability to work effectively in disciplinary and multidisciplinary teams; ability to work individually.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4
PY1 5 5 5 5
PY2 4 4 4 4
PY3 3 3 3 3
PY4 5 5 5 5
PY5 4 4 4 4
PY6 2 2 2 2
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • F, Birbir Ünal, Lecture Notes
  • Hwei Psu, Schaum’s Outlines on Signals and Systems, Mcgraw-Hill, 1995.
  • Alan Oppenheim, Alan Willsky, Signals And Systems, Prentice Hall, 1997
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 1 1.5 1.5
Midterm 2 1 1.5 1.5
Homework 1 2 10 20
Homework 2 2 7.5 15
Practice 2 6 12
Practice End-Of-Term 1 10 10
Classroom Activities 14 3 42
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0