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Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| BIOMEDICAL ENGINEERING (MASTER) (WITH THESIS) | |
| Code | BMM041 |
| Name | Applied Digital Signal Processing |
| Term | 2026-2027 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. AHMET AYDIN |
| Course Instructor |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
|
Course Goal / Objective
Students learns digital signal processing methods. Achieve the ability of performing those methods on a computer. Gain experience in biosignal processing.
Course Content
Biosignals, ADC Conversion, Convolution, Correlation Based Signal Analysis Methods, Fourier Series Analysis, Power Spectrum, Welch's Method, Z-Transform, FIR Filter, IIR Filter, Short Time Fourier Transform, Wavelet Analysis subjets will be taught and supported with applications.
Course Precondition
None
Resources
J.L. Semmlow, B. Griffel, "Biosignal and Medical Image Processing"
Notes
J.M. Giron-Sierra, "Digital Signal Processing with Matlab Examples I, II, III"
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Knows ADC Steps and Sensors |
| LO02 | Knows biosignals and noise analysis |
| LO03 | Learns correlation and covariance and applies them |
| LO04 | Can design and apply a digital filter to the signal. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to solve scientific problems encountered in the field of medicine and medical technologies by applying current and advanced technical approaches of mathematics, science and engineering sciences. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | To have a knowledge of the literature related to a sub-discipline of biomedical engineering, to define and model current problems. | 4 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Ability to analyze data, design and conduct experiments, and interpret results | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques and computational tools for engineering applications | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target | 5 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducting scientific studies with a medical doctor from an engineering perspective. | 4 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing own findings orally and in writing, clearly and concisely. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction | Read the Lecture Syllabus | Öğretim Yöntemleri: Anlatım |
| 2 | Biosignals, Sensors and ADC Steps | Read Chapter 1 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 3 | Biosignal Measurement, Noise ana Analysis | Read Section 2.1 and Section 2.2 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 4 | Basis Functions, Correlation and Covariance | Read Section 2.3 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 5 | Convolution and Impulse Response | Read Section 2.3 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 6 | Discrete Fourier Transform and Windows | Read Chapter 3 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 7 | FIR Filters and Appliceations | Read Section 4.1 - 4.4 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | IIR Filters and Applications | Read Section 4.5 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 10 | Welch's Method, Modern Spectral Analysis: MA, AR, ARMA | Read Chapter 5 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 11 | Short Time Fourier Analysis | Read Section 6.1 - 6.2 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 12 | Wavelet Transform I: Basics | Read Section 7.1 - 7.2 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 13 | Wavelet Transform II: Applications | Read Section 7.3 of the lecture book | Öğretim Yöntemleri: Anlatım |
| 14 | Term Project I | Lecture Notes and Application Examples | Öğretim Yöntemleri: Anlatım |
| 15 | Term Project II | Lecture Notes and Application Examples | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Lecture Notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||