| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Biomedical Signal Processing I | BMM306 | 6. Semester | 3 + 0 | 3.0 | 5.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Assist. Prof. Dr. Pınar Deniz TOSUN |
| Instructor(s) |
Pınar Deniz TOSUN |
| Assistants | |
| 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 |
| Learning Outcomes |
- Learn fundamentals of signals and systams in the biomedical engineering field. - Gain ability for mathematical calculations using various transform methods to analyse biomedical signals. - Learn those transform methods (i.e., fourier, z and laplace) as well as sampling theorem and essential principles of filtre design. - Apply course topics in laboratory experiments and homeworks on MATLAB or similar programs to consolidate theory with practicals. |
| Week | Topics | Learning Methods |
|---|---|---|
| 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 |
| Digital Signal Processing – A computer-based approach, S.K. Mitra McGraw-Hill, 2001 |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | Measurement Method |
|---|---|---|---|---|---|---|
| PY1 | 5 | 0 | 0 | 0 | 0 | - |
| PY2 | 3 | 0 | 0 | 0 | 0 | - |
| PY3 | 4 | 0 | 0 | 0 | 0 | - |
| PY4 | 5 | 0 | 0 | 0 | 0 | - |
| PY8 | 5 | 0 | 0 | 0 | 0 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Preparation, After Class Study | 14 | 1 | 14 |
| Midterm 1 | 1 | 30 | 30 |
| Homework 1 | 1 | 11.5 | 11.5 |
| Final | 1 | 30 | 30 |
| Total Workload | 127.5 | ||
| ECTS Credit of the Course | 5.0 | ||
