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.
The purpose of this course is to understand various sensing devices, measurement systems, data processing, data analysis, and evaluation of obtained results.
sensor, measurement, signal processing, statistical analysis
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
This course will be offered by lecture in class and combined with PC-based exercise at home.
|Course schedule||Required learning|
|Class 1||Introduction on various sensors||Please install Arduino software prior to the first class. https://www.arduino.cc/|
|Class 2||Measurement system (A/D converter, sampling theory)||Arduino programing Installation of MATLAB http://tsubame.gsic.titech.ac.jp/en/node/1274|
|Class 3||Basic signal processing (MATLAB exercise)||MATLAB exercise http://www.citl.titech.ac.jp/learning-environment/simulation-edu/package-and-self-learning/|
|Class 4||Measurement 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|
「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)
Grading based on exercise, final exam, and report.