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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
-
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
- Undergraduate major in Mechanical Engineering
- Instructor(s)
- Yoshioka Hayato Yagi Tohru
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri5-6(石川台3号館201A号室)
- Group
- -
- Course number
- MEC.I311
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 1Q
- Syllabus updated
- 2018/3/20
- Lecture notes updated
- 2018/6/1
- Language used
- Japanese
- Access Index
-
Course description and aims
In order to understand the basics in the field of measurement engineering, sensors, measurement system configurations, data processing will be taught through hands-on work. Moreover, statistical analysis, reliability of measured data, and sensing machine systems containing various sensors will be offered.
Student learning outcomes
The purpose of this course is to understand various sensing devices, measurement systems, data processing, data analysis, and evaluation of obtained results.
Keywords
sensor, measurement, signal processing, statistical analysis
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
This course will be offered by lecture in class and combined with PC-based exercise at home.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction on various sensors, Measurement system (A/D converter, sampling theory) | Please install Arduino software prior to the first class. https://www.arduino.cc/ Please install MATLAB software by the second class. http://tsubame.gsic.titech.ac.jp/en/node/1274 |
| Class 2 | Sensor lab | Installation of MATLAB-Arduino Hardware Support Package to your PC. https://jp.mathworks.com/matlabcentral/answers/uploaded_files/41209/SupportPackage_InstallGuide_for_Arduino.pdf |
| Class 3 | Measurement lab | MATLAB exercise http://www.citl.titech.ac.jp/learning-environment/simulation-edu/package-and-self-learning/ |
| Class 4 | Basic signal processing (MATLAB exercise) | TBA |
| Class 5 | Statistical analysis (variance, SD, error function) | TBA |
| Class 6 | Reliability (traceability, uncertainty, calibration) | TBA |
| Class 7 | Measurement system (CMM, roughness gauge, material testing machine) | TBA |
| Class 8 | Course summary, final exam | Course summary, final exam |
Textbook(s)
TBA
Reference books, course materials, etc.
「計測システム工学の基礎」西原主計，山藤和男，森北出版 (Japanese textbook only)
Assessment criteria and methods
Grading based on exercise, final exam, and report.
Related courses
- MEC.I211 ： Robot Kinematics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
