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- > Advanced Course of Sensing System Theory
- School of Science
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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
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 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 Systems and Control Engineering
- Instructor(s)
- Ohyama Shinji
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri5-6(S423)
- Group
- -
- Course number
- SCE.I402
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 2Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Improvement of S/N ratio is final goal for measurement technology. Methodology for achieve this goal will be discussed. Sensor network and CT system will be introduced.
Student learning outcomes
Understand methodology to improve S/N ratio for measurement system, and know the way of thinking about inverse problem such as CT sytems.
Keywords
Measurement, noise reduction, differential system, measurement equation
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Propose problem should be solved, way of thinking will be expressed. Encourage to propose new idea through quize.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introcuction | Nothing |
| Class 2 | Components for mesuremet system, the role of software and hardware. | What is noise? |
| Class 3 | Noise reduction for measurement system | Is it possible to noise reduce? |
| Class 4 | Sensor netware, its idea and application | Fusion of sensing and communicaion. |
| Class 5 | Appliccation of sensor network | Application fields of sensor network in the future. |
| Class 6 | Adbvanced technology on sensor network and CT. | Application fields of CT. |
| Class 7 | What is next generation technology of sensing architechture? | Utilize mearemrent equation. |
| Class 8 | Summary | Nothing |
Textbook(s)
N/A
Reference books, course materials, etc.
Handouts
Assessment criteria and methods
Report
Related courses
- N/A
Prerequisites (i.e., required knowledge, skills, courses, etc.)
N/A
