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 |
# | 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 |
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 |
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. | ✔ |
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 |
Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
---|---|
Diğer Kaynaklar |
|
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 |