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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
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- School of Life Science and Technology
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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Koike Yasuharu
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue3-4(G224)
- Group
- -
- Course number
- ICT.H509
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 2Q
- Syllabus updated
- 2018/4/10
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This course introduces the measurement methods for biological signals.
This course aims at providing the basic knowledge of brain measurement system.
Student learning outcomes
By completing this class, students will be able to
1) understand the methodology of measurement and analysis for brain signals.
2) Based on (1), understand their applications.
Keywords
EEG, fMRI, EMG
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
Each topic will be explained with lecture notes.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | invasive and non-invasive method | Understand of invasive and non-invasive method |
| Class 2 | measurement of neural signals | Understand of measurement of neural signals |
| Class 3 | anatomy of brain | Understand of anatomy of brain |
| Class 4 | brain function | Understand of brain function |
| Class 5 | analysis of biological signals | Understand of analysis of biological signals |
| Class 6 | EEG | Understand of EEG |
| Class 7 | analysis of brain signals | Understand of analysis of brain signals |
| Class 8 | analysis of brain signals | Understand of analysis of brain signals |
Textbook(s)
No text book
Reference books, course materials, etc.
to be announced
Assessment criteria and methods
The above target is evaluated by final exam 60%, exercises 40%.
Related courses
- ICT.H422 ： Computational Brain
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Without any requirements
