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Information
| Code | BMM041 |
| Name | Applied Digital Signal Processing |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| 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 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
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 | Learns ADC Steps and Sensors |
| LO02 | Learns 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 | ||