2019 Fundamentals of Instrumentation Engineering

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Academic unit or major
Undergraduate major in Mechanical Engineering
Instructor(s)
Yoshioka Hayato  Yagi Tohru 
Course component(s)
Lecture
Day/Period(Room No.)
Fri5-6(石川台3号館201A号室)  
Group
-
Course number
MEC.I311
Credits
1
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/3/18
Lecture notes updated
2019/5/31
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

Intercultural skills Communication skills Specialist 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

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