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School of Engineering
- Undergraduate major in Mechanical 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
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- 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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- 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)
- Yagi Tohru
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Fri5-6(I3-201A)
- Group
- -
- Course number
- MEC.I311
- Credits
- 1
- Academic year
- 2023
- Offered quarter
- 1Q
- Syllabus updated
- 2023/4/12
- Lecture notes updated
- -
- 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.
Course taught by instructors with work experience
| ✔ Applicable | How instructors' work experience benefits the course |
|---|---|
| This course will be offered using some examples in clinical field, since one instructor has experience at a biomedical engineering company. |
Keywords
measurement, sensor, 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 class uses T2Schola and Slack; instructions for joining Slack are provided in T2Schola. Please check T2Schola immediately after registration. The course will consist mainly of online lectures, but students will deepen their understanding through hands-on practice in class using a PC and an Arduino.
Please install Arduino software and MATLAB prior to the first class. (It takes two hours to install all software in some case.)
Arduino
https://www.arduino.cc/
MATLAB
https://www.citl.titech.ac.jp/matlab_intro/
https://jp.mathworks.com/academia/tah-portal/tokyo-institute-of-technology-1070812.html
If you have any questions about the installation of MATLAB, please contact the MATLAB-TA at the CITL of Tokyo Tech.
MATLAB_TA
https://www.citl.titech.ac.jp/matlab_officehour/
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction of various measurement devices and sensors | 1) Take pictures of the 3 types of sensors used in your daily life, paste them in Word, etc., add comments about the sensor (sensor name, physical quantity to be detected, etc.), convert it to a PDF file, and upload the file to T2Schola. 2) Install the Arudino hardware support package of MATLAB, reading the instruction on the following site. https://jp.mathworks.com/matlabcentral/answers/uploaded_files/41209/SupportPackage_InstallGuide_for_Arduino.pdf |
| Class 2 | MATLAB Tutorial https://www.mathworks.com/learn/tutorials/matlab-onramp.html | Take a tutorial on-line course of MATLAB and upload the certificate file to T2Schola. |
| Class 3 | Image sensing (optical sensor, CCD, CMOS), signal processing (ensemble average, moving average, correlation) | Signal processing practice (ensemble average, moving average, correlation) with MATLAB |
| Class 4 | Systematization technology (A/D conversion, sampling theorem, aliasing), connecting MATLAB and Arduino and displaying CdS cell output on MATLAB | Connect the MATLAB and Arduino to display the sensor output on the MATLAB graph. Paste the graph (or screenshot) to Word file, add comments (what you noticed in this measurement experiment, etc.), and upload its PDF file to T2Schola. |
| Class 5 | Measurement for material mechanics (strain gage, bridge circuit, load cell), measurement for mechanical mechanics and robotics (displacement, velocity, acceleration, rotational speed, angular measurement), frequency analysis (Fourier transform, power spectrum, phase, continuous and discontinuous, Gibbs phenomenon, window function) | Using MATLAB, analyze the measurement results in frequency domain. Paste the time domain graph and the frequency domain graph (power spectrum) into the word, add comments (what you noticed in this measurement experiment, etc.), and upload the PDF file to T2Schola. |
| Class 6 | Measurement for thermodynamics (various thermometers, thermocouples, radiation thermometers, etc.), measurement for fluid dynamics (flow rate, velocity, pressure), Statistical analysis (variance, SD, error function) | By using MATLAB, statistical parameters are calculated with a m-file. |
| Class 7 | Measurement for machining and precision engineering (surface, geometric metrology, nanometrology (SPM, SEM)), measurements for electronics and electricity (voltage, current, magnetic field), biopotentials, measurement reliability (traceability, uncertainty, calibration) | Biometric and signal processing practice using MATLAB and Arduino |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for the class and another 60 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None. Materials will be provided in class.
Reference books, course materials, etc.
The lecture materials will be uploaded to T2Schola. Please download by the day before the class. May not be available during or immediately before class.
「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
The evaluation is based on reporting assignments.
Related courses
- MEC.I211 ： Robot Kinematics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Please install Arduino software and MATLAB prior to the first class. (It takes two hours to install all software in some case.)
Arduino
https://www.arduino.cc/
MATLAB
https://www.citl.titech.ac.jp/matlab_intro/
https://jp.mathworks.com/academia/tah-portal/tokyo-institute-of-technology-1070812.html
If you have any questions about the installation of MATLAB, please contact the MATLAB-TA at the CITL of Tokyo Tech.
MATLAB_TA
https://www.citl.titech.ac.jp/matlab_officehour/
Other
This class uses T2Schola and Slack; instructions for joining Slack are provided in T2Schola. Please check T2Schola immediately after registration.
