Course Objectives
At the completion of this course, students will be able to
1) Explain the basic data processing method to understand errors and their causes by understanding errors and causes of measurement data.
2) Qualitatively explain the flow of analog digital conversion processing in the element part.
3) Calculate the uncertainty in basic measurements using budget sheets
Rubric
| Ideal Level of Achievement (Very Good) | Standard Level of Achievement (Good) | Unacceptable Level of Achievement (Fail) |
| Evaluation 1 | Students can explain the basic data processing method to understand errors and their causes by understanding errors and causes of measurement data almost perectly | Students can explain the basic data processing method to understand errors and their causes by understanding errors and causes of measurement data correctly | Students can't explain the basic data processing method to understand errors and their causes by understanding errors and causes of measurement data. |
| Evaluation 2 | Students can qualitatively explain the flow of analog digital conversion processing in each part almost perectly | Students can qualitatively explain the flow of analog digital conversion processing in each part correctly | Students can't qualitatively explain the flow of analog digital conversion processing in each part. |
| Evaluation 3 | Students can calculate the uncertainty in basic measurements using budget sheets almost perectly | Students can calculate the uncertainty in basic measurements using budget sheets correctly | Students can't calculate the uncertainty in basic measurements using budget sheets |
Assigned Department Objectives
MCCコア科目
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JABEE B4
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ディプロマポリシー 1
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Teaching Method
Outline:
Learning Objectives (Aim of Class) Learn the basic measurement data and error analysis in order to understand measuring instruments.
Style:
Lectures by teachers alone are conducted.
Notice:
The portfolio is evaluated as 20%, and the test is evaluated as 80%. A person who has a rating of less than 60 points may be subjected to an approval test by a request. As the result of the approval test, the evaluation is made to be 60 points in the person who the mastery of the unit is recognized.
Course Plan
|
|
|
Theme |
Goals |
| 1st Semester |
| 1st Quarter |
| 1st |
Guidance
Review Related Topics |
Can explain the knowledge of errors and significant figures that have been learned so far.
|
| 2nd |
Importance of error analysis |
Can explain why error analysis is important in the measurement.
|
| 3rd |
Interpretation of measurement results |
Can analyze and interpret the measured results in any procedure.
|
| 4th |
Linear regression and error estimation |
Can explain the best estimate of the function relationship with function relation and the error.
|
| 5th |
Type and standard of measurement method |
Can explain a variety of measurement methods and standards for measuring measurements.
|
| 6th |
Research |
Can calculate values and errors using specific measurement examples.
|
| 7th |
Analog Digital Conversion 1 |
Can explain sampling theorem, Parseval theorem, Fourier transform, and window functions.
|
| 8th |
Analog Digital Conversion 2 |
Can explain the review of sampling theorem and low pass filter.
|
| 2nd Quarter |
| 9th |
Analog Digital Conversion 3 |
Can explain the technique of AD conversion, the number of quantization bits, and the quantization error.
|
| 10th |
Signal Processing 1 |
Can explain the effectiveness of signal processing in digital measurements and the moving average method.
|
| 11th |
Signal Processing 2 |
Can learn and exercise on Fourier transforms.
|
| 12th |
Uncertainty 1 |
Can explain the concept and standard of uncertainty, including accuracy, error, etc.
|
| 13th |
Uncertainty 2 |
Can derive uncertainty by using budget sheets.
|
| 14th |
Cause of the error |
Can account for systematic errors, accidental error, and number of effective digits.
|
| 15th |
Final exam |
Can explain measurement, signal signal processing, uncertainty, and perform related calculations.
|
| 16th |
Return of answer sheets, explanation, class questionnaire, etc. |
Evaluation and confirmation
|
Evaluation Method and Weight (%)
| Examination | Presentation | Mutual Evaluations between students | Behavior | Portfolio | Other | Total |
| Subtotal | 80 | 0 | 0 | 0 | 20 | 0 | 100 |
| Basic Ability | 80 | 0 | 0 | 0 | 20 | 0 | 100 |
| Technical Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Interdisciplinary Ability | 0 | 0 | 0 | 0 | 0 | 0 | 0 |