2026 (Current Year) Faculty Courses School of Computing Department of Computer Science Graduate major in Science and Technology for Health Care and Medicine
Introduction to Neural Engineering
- Academic unit or major
- Graduate major in Science and Technology for Health Care and Medicine
- Instructor(s)
- Tohru Yagi
- Class Format
- Lecture (Livestream)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Thu
- Class
- -
- Course Code
- STM.A402
- Number of credits
- 100
- Course offered
- 2026
- Offered quarter
- 3Q
- Syllabus updated
- Oct 1, 2026
- Language
- English
Syllabus
Course overview and goals
Introduction to neural engineering, a technology to link the nervous system to a machine. This course provides a foundation of neuroscience and covers several updated topics in neural engineering.
Course description and aims
Students are expected to understand the basic principles of neuroscience and neural engineering.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
This course will be offered using some examples in clinical field, since one instructor has experience at a biomedical engineering company.
Keywords
Anatomy and physiology of brain/nervous system, recording technique of neural signals, electrical stimulation and biological responses, cochlear implant, visual prosthesis, brain machine interface, deep brain stimulation
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
This is a online lecture style class. Sometimes demonstrations will be offered.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction |
Test in class |
| Class 2 | BCI |
Test in class |
| Class 3 | BMI |
Test in class |
| Class 4 | DBS |
Test in class |
| Class 5 | FES |
Test in class |
| Class 6 | Cochlear implant |
Test in class |
| Class 7 | Visual prosthesis |
Test in class |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 60 minutes reviewing class contents afterward (including assignments) for each class, referring to course materials and others.
Textbook(s)
None
Reference books, course materials, etc.
Materials can be downloaded from LMS
Evaluation methods and criteria
Total score of test in class
Pass:100-60, Fail: 59 or under
Related courses
- HCB.M463 ： Introduction to Biomedical Instrumentation
Prerequisites
Basic engineering knowledge regarding mechanical, electrical and material engineering. Basic biology.