| 課程大綱 Syllabus |
學生學習目標
Learning Objectives |
單元學習活動
Learning Activities |
學習成效評量
Evaluation |
備註
Notes |
序
No. | 單元主題
Unit topic |
內容綱要
Content summary |
| 1 | 1. Measurement Principles |
1.1 Direct Measurement: Direct measurement involves physically quantifying a property using a specific instrument or device. For example, using a thermometer to measure temperature or a ruler to measure length.
1.2 Indirect Measurement: Indirect measurement relies on secondary parameters or relationships to estimate the value of the target property. For instance, measuring the time it takes for sound waves to travel through a material to determine its density. |
1.1 Direct Measurement
1.2 Indirect Measurement |
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| 2 | 2. Instruments and Devices |
2.1 Sensors: convert physical quantities, such as temperature, pressure, or light intensity, into electrical signals that can be measured and analyzed.
2.2 Metrology Instruments: often adhere to international standards and provide traceable measurements.
2.3 Data Acquisition Systems: collect, process, and store measurement data from various sensors and instruments.
2.4 Imaging Systems: capture visual information and can be used for measurement purposes. |
2.1 Sensors
2.2 Metrology Instruments
2.3 Data Acquisition Systems
2.4 Imaging Systems |
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| 3 | 3. Mid Term Exam. |
Study verification |
Prove ability |
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期中考
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| 4 | 4. Calibration and Traceability |
4.1 Calibration: is the process of determining and adjusting the accuracy of a measuring instrument by comparing its measurements to a known reference or standard.
4.2 Traceability: ensures that measurements can be linked back to internationally recognized standards, providing confidence in the accuracy and comparability of measurements. |
4.1 Calibration
4.2 Traceability |
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| 5 | 5. Emerging Technologies |
5.1 Internet of Things (IoT): integrates sensors, connectivity, and data analytics to enable remote monitoring and control of measurements.
5.2 Nanotechnology: offers the potential for highly sensitive and miniaturized measurement devices.
5.3 Big Data and Artificial Intelligence (AI): can process large volumes of measurement data, identify patterns, and make predictions or optimizations. |
5.1 Internet of Things (IoT)
5.2 Nanotechnology
5.3 Big Data and Artificial Intelligence (AI) |
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| 6 | 6. Final Exam. |
Final Exam. |
Pass Exam. |
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期末考
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