Rapor Tarihi: 13.04.2026 06:03
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Signals and Systems | BMM301 | Turkish | Compulsory | 5. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | Dr. Öğr. Üyesi Pınar Deniz TOSUN |
| Instructor(s) | Dr. Öğr. Üyesi Pınar Deniz TOSUN (Güz) |
| Goals | The aim of this course is to introduce widely used engineering terminologies as signals and systems to the students by detailed theoretical lectures which are consolidated by tutorials and problem-solving. |
| Course Content | Classification of signals and systems; analog, digital, even, odd, discrete, continuous, periodic, Properties of linear systems, Fourier series and applications in discrete/continuous time, Laplace transform, Z transformation |
| # | Öğrenme Kazanımı |
| 1 | Classify continuous and discrete time signals and analyse formulation of the basic signals in Engineering |
| 2 | Understand the properties of linear time invarient systems |
| 3 | Describe the basic concepts of Fourier series and Fourier transforms for discrete- and continuous-time signals, |
| 5 | Describe the Laplace transformation of continuous time signals and systems |
| 6 | Analyse the lectrical circuits by Laplace transformation |
| 7 | Describe the Z transformation of discrete time signals and systems |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Signals and Systems | |
| 2. Week | Signals and Systems | |
| 3. Week | Linear Time Invariant Systems | |
| 4. Week | Linear Time Invariant Systems | |
| 5. Week | Linear Time Invariant Systems | |
| 6. Week | Laplace transformation,its properties and applications | |
| 7. Week | Laplace transformation,its properties and applications | |
| 8. Week | Tutorials | Preparation, After Class Study |
| 9. Week | Z transformation,its properties and applications | |
| 10. Week | Z transformation,its properties and applications | |
| 11. Week | Fourier Transformations of Continuous Signals and Systems | |
| 12. Week | Fourier Transformations of Continuous Signals and Systems | |
| 13. Week | Fourier Transformations of Discrete Signals and Systems | |
| 14. Week | Fourier Transformations of Discrete Signals and Systems |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | It explains the theories and principles related to the field. | ✔ | |||||
| 1 | It explains the theories and principles related to the field. | ✔ | |||||
| 2 | It provides practical skills in the field of Biomedical Engineering by utilizing knowledge from health sciences and engineering. | ✔ | |||||
| 3 | It provides the ability to design and develop all or a component of a medical device, software, or product used in the healthcare field under realistic conditions. | ✔ | |||||
| 4 | It provides the ability to define, model, and solve a problem encountered in medicine using engineering approaches. | ✔ | |||||
| 8 | To gain verbal and written communication skills. To enable effective use of a foreign language in professional life. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY2 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY3 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY4 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY8 | 5 | 5 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| Güz Dönemi | |||
| Responsible Personnel | Grup | Evaluation Method | Percentage |
|---|---|---|---|
| Dr. Öğr. Üyesi Pınar Deniz TOSUN | Vize | 40.00 | |
| Dr. Öğr. Üyesi Pınar Deniz TOSUN | Ödev | 10.00 | |
| Dr. Öğr. Üyesi Pınar Deniz TOSUN | Final | 50.00 | |
| Toplam | 100.00 | ||
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Sınavlar |
Midterm | 1 | 30 | 30 |
| Final | 1 | 30 | 30 | |
| Total Workload | 102 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
