Hiroshima University Syllabus

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Academic Year 2017Year School/Graduate School School of Engineering
Lecture Code K8064040 Subject Classification Specialized Education
Subject Name 計測工学
Subject Name
Subject Name in
Instrumentation Engineering
シンタク エイジ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Tues5-6:ENG 107
Lesson Style Lecture Lesson Style
【More Details】
Credits 2 Class Hours/Week   Language on Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 25 : Integrated Engineering
Eligible Students  
Keywords Unit, least square method, digital measurement, Fourier transform  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Vehicle and Environmental Systems
(Knowledge and Understanding)
・Information engineering subjects: To acquire understanding and basic knowledge required for engineers and researchers.
(Abilities and Skills)
・Information engineering subjects: Information processing ability based on mathematics and mechanics. 
Class Objectives
/Class Outline
It aims to understand the fundamental of instrumentation technology, and to be able to analyze measured data. 
Class Schedule lesson1 What is the measurement?: SI unit, operation of unit
lesson2 Uncertainty and accuracy: error and the handling
lesson3 Statistical procedure of measuring data (1): Significant digit and average
lesson4 Statistical procedure of measuring data (2): Least squares method
lesson5 Statistical procedure of measuring data (3): Practice
lesson6 Measurement equipment: Basic configuration and signal transformation of instrumentation system
lesson7 Sensor (1): Outline, sensor for mechanical quantity
lesson8 Mid-term examination
lesson9 Sensor (2): Pressure sensor, temperature sensor, and optical sensor
lesson10 Analog signal processing: Amplification, integration, differentiation, and filter
lesson11 Signal transformation in frequency domain: Fourier transform (1)
lesson12 Signal transformation in frequency domain: Fourier transform (2)
lesson13 Signal transformation in frequency domain: Fourier transform (3)
lesson14 Digital signal processing (1): Sampling and quantization
lesson15 Digital signal processing (2): DA conversion and digital measurement

lesson16 Term-end examination 
Handout is distributed. 
PC or AV used in
Handout, writing on blackboard, projector (PC) 
Suggestions on
Preparation and
Grading Method The result is evaluated by reports, mid-term and term-end examinations comprehensively. It passes by 60 points or more in total.
Anyone who has more than six class-long, unexcused absences will receive a "D" grade for the course. 
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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