Web Syllabus

(2019)

Back Search for Syllabus by Professors

Physical Measurement and Analysis

 OGAWA, Mitsuhiro
  Elective  2 credits
【Information and Electronic Engineering･1st semester】
19-1-1219-3315

１．
Outline
Not only is the measurement merely to measure the physical quantities, but it includes all acts of the quantitative recognition of things such as the research of the measurement, the development of measurement methods, the data processing for measurement data, and the recognition for the measurement of objects.

Contents of this course are as follows:
- Physical background for measurement data
- Principle of measurements
- Methods of measurements
- Processing of measurement data
- Correct evaluation for measurement values with errors
- Method of processing signal data with noise

This course relates to DP4.
２．
Objectives
The aim of this course is to make students understand the significance of measurements and acquire the ability to perform correct evaluation for measurement values, to express measurement results correctly, and to process measurement data properly.
３．
Grading Policy
Final Exam: 60%
Middle Exam and Exercises: 20%
Reporting: 20%
The results will be informed and reviewed mainly via LMS.
４．
Textbook and Reference
Japanese textbook, ISBN: 978-4627664432 (by Nishihara and Yamatoh).
５．
Requirements (Assignments)
Keywords for preparation and revision will be provided via LMS.
Students must be ready for preparation (60min) and revision (30min).
６．
Note
LMS will be used in this course.
Function calculator can be used in the final and middle exam.
７．
Schedule
１. Science of measurement
２. What the measurement is
３. Accuracy and error
４. Function of measurement value
５. Describing measurement value
６. Physical values, Middle Exam #1
７. Unit system
８. Null method and other measurement
９. Direct and indirect measurement
10. Mechanical sensor, Middle Exam #2
11. Electronic sensor
12. Optical sensor
13. Novel topics in this field
14. Noise reduction technique (mainly electrical method)
15. Noise reduction technique (mainly computational method); summary
１．
Outline
Not only is the measurement merely to measure the physical quantities, but it includes all acts of the quantitative recognition of things such as the research of the measurement, the development of measurement methods, the data processing for measurement data, and the recognition for the measurement of objects.

Contents of this course are as follows:
- Physical background for measurement data
- Principle of measurements
- Methods of measurements
- Processing of measurement data
- Correct evaluation for measurement values with errors
- Method of processing signal data with noise

This course relates to DP4.
２．
Objectives
The aim of this course is to make students understand the significance of measurements and acquire the ability to perform correct evaluation for measurement values, to express measurement results correctly, and to process measurement data properly.
３．
Grading Policy
Final Exam: 60%
Middle Exam and Exercises: 20%
Reporting: 20%
The results will be informed and reviewed mainly via LMS.
４．
Textbook and Reference
Japanese textbook, ISBN: 978-4627664432 (by Nishihara and Yamatoh).
５．
Requirements (Assignments)
Keywords for preparation and revision will be provided via LMS.
Students must be ready for preparation (60min) and revision (30min).
６．
Note
LMS will be used in this course.
Function calculator can be used in the final and middle exam.
７．
Schedule
１. Science of measurement
２. What the measurement is
３. Accuracy and error
４. Function of measurement value
５. Describing measurement value
６. Physical values, Middle Exam #1
７. Unit system
８. Null method and other measurement
９. Direct and indirect measurement
10. Mechanical sensor, Middle Exam #2
11. Electronic sensor
12. Optical sensor
13. Novel topics in this field
14. Noise reduction technique (mainly electrical method)
15. Noise reduction technique (mainly computational method); summary