Rapor Tarihi: 13.04.2026 03:13
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Biomedical Signal Processing | BMM334 | Turkish | Compulsory | 6. Semester | 3 + 0 | 3.0 | 4.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Face to face |
| Course Coordinator | |
| Instructor(s) | |
| Goals | The aim of this course is to teach analysis of signals and systems in both time and frequency domains. In addition to this, its targeted to teach the abilitity to investigate continuous and discrete signals mathematically using various transforms used in signal processing. |
| Course Content | Fourier transform, Discrete-time Fourier transform (DTFT), DTFT based signal analysis and synthesis, z-transform, Inverse z-transform, Digital processing of continuous-time signals, Digital filters, modulation |
| # | Öğrenme Kazanımı |
| 1 | Learn fundamentals of signals and systams in the biomedical engineering field. |
| 2 | Gain ability for mathematical calculations using various transform methods to analyse biomedical signals. |
| 3 | Learn those transform methods (i.e., fourier, z and laplace) as well as sampling theorem and essential principles of filtre design. |
| 4 | Apply course topics in laboratory experiments and homeworks on MATLAB or similar programs to consolidate theory with practicals. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Signals and systems (review) | |
| 1. Week | Signals and Systems | |
| 2. Week | Fourier Transform | |
| 2. Week | Z transform | |
| 3. Week | Laplace transform | |
| 4. Week | Sampling Theorem | |
| 5. Week | Sampling Theorem | |
| 6. Week | Spectral Analysis | |
| 7. Week | Filters and Filter design | |
| 8. Week | Tutorials | Preparation, After Class Study |
| 9. Week | Digital processing of continuous-time signals | |
| 10. Week | Sampling theorem and AD & DA converters | |
| 11. Week | Frequency response, Transfer function | |
| 12. Week | Fundamental structures of digital filters | |
| 13. Week | Digital filter design | |
| 14. Week | Biomedical Signal Processing Techniques |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 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 |
|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 |
| PY2 | 3 | 3 | 3 | 3 |
| PY3 | 4 | 4 | 4 | 4 |
| PY4 | 5 | 5 | 5 | 5 |
| PY8 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 1 | 14 |
|
Sınavlar |
Midterm | 1 | 30 | 30 |
| Homework | 1 | 11.5 | 11.5 | |
| Final | 1 | 30 | 30 | |
| Total Workload | 127.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 4.0 | ||
