2024 Faculty Courses School of Environment and Society Undergraduate major in Transdisciplinary Science and Engineering
Engineering Measurement I
- Academic unit or major
- Undergraduate major in Transdisciplinary Science and Engineering
- Instructor(s)
- Tohru Yagi
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Mon
- Class
- -
- Course Code
- TSE.A232
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 2Q
- Syllabus updated
- Mar 17, 2025
- Language
- English
Syllabus
Course overview and goals
In this course, you learn the basic principles of sensors, systemization techniques (A/D conversion, D/A conversion), and signal processing. The course consists of lectures and practical training to design and build a system to control a servo motor based on sensor data.
Course description and aims
To be able to explain the measurement principles of various sensors.
Explain the types of analog and digital signals and noise reduction.
To be able to explain basic signal processing.
This course is designed to help students achieve the following academic goals.
1) Genera measurement and computation technologies
2) Ability to design and operate systems.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
In this course, an instructor, who has practical experience at a medical device manufacturer, will use his practical experience to provide education by giving examples of human body measurements.
Keywords
Sensor, measurement, signal processing
Competencies
- 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.
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/en/software
Install the Legacy IDE (Arduino IDE 1.8.19) on your own PC (anything other than the Legacy IDE may not work properly).
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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | MATLAB practice https://www.mathworks.com/learn/tutorials/matlab-onramp.html | Upload MATLAB Onramp Certificate (PDF) to T2Schola. |
| Class 2 | Introduction of various sensors Practice using Arduino and CdS cells Parts distribution (RC servo motors, battery boxes, resistors, CdS cells, photo-reflectors, male and female jumper wires, header pins) | 1) Take photos of three types of sensors used in daily life, paste them into Word or PowerPoint, etc., add comments about the sensors (name of the sensor, physical quantity to be detected, etc.), convert them into a PDF file, and upload the file to T2Schola. 2) Install the Arduino hardware support package for MATLAB by referring to the following site: https://jp.mathworks.com/help/supportpkg/arduino/ug/install-support-for-arduino-hardware.html＃bvfxo09 or https://jp.mathworks.com/videos/install-the-matlab-and-simulink-support-packages-for-arduino-106497.html |
| Class 3 | Signal processing (ensemble averaging, moving averaging) Basic MATLAB signal processing practice (graph display) Connecting MATLAB and Arduino to display the output of CdS cell on MATLAB | Perform an experiment to measure an everyday object using a sensor (the detail will be explained in class). Connect MATLAB and Arduino, and graph the sensor output on MATLAB. Paste the graph (or screenshot) into MS Word, and add comments, such as what you noticed in this experiment. Convert the word file to PDF, and upload the PDF file to T2Schola. |
| Class 4 | Signal processing (Fourier transform, power, phase, continuous and discontinuous, Gibbs phenomenon, window function) Signal processing practice using MATLAB | Using MATLAB, perform a frequency analysis of the measurement results obtained in the previous assignment. Paste the time domain graph and the frequency domain graph (power spectrum) into a word document, add comments (such as what you noticed in this measurement experiment) Upload the PDF file to T2Schola. |
| Class 5 | Systematization technology (A/D converter, sampling theorem, aliasing) Fabrication of a line tracer using a photo-reflector and RC servo motor ＃1 | Make a circuit using photo interrupter on a breadboard to detect a line. You will also build a line tracer that runs along the line by moving RC servo motors based on the sensor values. |
| Class 6 | Line tracer fabrication using photo interrupters and RC servo motors ＃2 | Line tracer fabrication |
| Class 7 | Line tracer driving test | Everyone bring his/her own line tracer and drive it on a predetermined course to compete for time. |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 30 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course material.
Textbook(s)
There is no textbook. Class materials will be uploaded to T2Schola. (T2Schola would be crowded during or just before class, so please download them in advance.)
Reference books, course materials, etc.
Fundamentals of Measurement System Engineering (in Japanese), Chikei Nishihara and Kazuo Yamafuji, Morikita Publishing Co.
Prototyping Lab 2nd Ed. (in Japanese), S.Kobayashi, O'Reilly Japan.
Evaluation methods and criteria
A comprehensive evaluation of the assignments given in the lectures will be conducted.
Related courses
- TSE.M204 ： Statistics and Data Analysis
- TSE.A203 ： Electrical Engineering
- TSE.M201 ： Ordinary Differential Equations and Physical Phenomena
- TSE.M203 ： Theory of Linear System
- TSE.A202 ： Solid Mechanics and Structure Engineering
- TSE.A205 ： Fluid Engineering
- TSE.A201 ： Material and Molecular Engineering
- TSE.A204 ： Engineering Thermodynamics
- TSE.A351 ： Transdisciplinary Engineering Experiment A
- TSE.A352 ： Transdisciplinary Engineering Experiment B
Prerequisites
Bring your laptop and USB-A adaptor to class.
Other
In this course, we use T2Schola and Slack. You can find Slack invitation on T2Schola. Immediately after your registration process, please check T2Schola.