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Information
| Code | BMM019 |
| Name | Introduction to Brain Computer Interface |
| Term | 2022-2023 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 |
Course Goal / Objective
To teach the brain computer interface system and design. To provide knowledge to research on this subject.
Course Content
General blocks of a brain computer interface system and signal processing analysis methods used in this system.
Course Precondition
The course has no prerequisites. However, having knowledge in the fields of signal processing and machine learning will make an important contribution to the comprehension of the course topics.
Resources
Brain-Computer Interfacing: An Introduction. Rajesh P. N. Rao, Cambridge University Press, 2013.
Notes
No suggested additional course notes.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Can analyze electroencephalography (EEG) signals. |
| LO02 | Knows the components and hardware of the brain-computer interface system. |
| LO03 | Can extract features from electroencephalography (EEG) signals. |
| LO04 | Can classify using machine learning methods and neural network structures. |
| LO05 | Can design the brain-computer interface system as a whole. |
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. | 5 |
| 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 | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target | 4 |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducting scientific studies with a medical doctor from an engineering perspective. | 5 |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing own findings orally and in writing, clearly and concisely. | 3 |
| 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. | 3 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | 3 |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | 3 |
| 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. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction. What is brain computer interfacing? | Textbook and literature reading. | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Basic Neuroscience | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Recording and stimulating the brain | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Signal processing | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Signal processing (continued) | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Machine learning | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Machine learning (continued) | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Textbook and lecture note reading | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
| 9 | Neural networks | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Neural networks (continued) | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Building a brain computer interfacing (BCI) system | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Invasive BCIs | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Semi-invasive BCIs | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Noninvasive BCIs | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | BCIs that stimulate | Textbook and literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | Textbook and lecture note reading | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
| 17 | Term Exams | Textbook and lecture notes reading | Ölçme Yöntemleri: Yazılı Sınav, Proje / Tasarım |
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 | 6 | 84 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 7 | 4 | 28 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 158 | ||
| Total Workload / 25 (h) | 6,32 | ||
| ECTS | 6 ECTS | ||