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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
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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
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- 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 (ZOOM)
- Media-enhanced courses
- Day/Period(Room No.)
- Thr5-6(Zoom)
- Group
- -
- Course number
- SCE.I402
- Credits
- 1
- Academic year
- 2020
- Offered quarter
- 4Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- English
- 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.
Course taught by instructors with work experience
| ✔ Applicable | How instructors' work experience benefits the course |
|---|---|
| In this lecture, a teacher with research experiences teaches the basic concept which can be applied to new technology changing every day. |
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? Report | Utilize mearemrent equation. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
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
