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課程名稱 |
感測器原理與應用-機電整合(二)
Principles and Applications of Sensors-Mechatronics (2) |
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開課學期 |
111-1 |
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授課對象 |
學程 全電化都會運輸系統基礎技術學分學程 |
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授課教師 |
陳林祈 |
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課號 |
BME3112 |
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課程識別碼 |
611 37300 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
必帶 |
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上課時間 |
星期三7,8,9(14:20~17:20) |
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上課地點 |
知203 |
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備註 |
全電化運輸學程-核心課程。
總人數上限：55人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
Sensor principles and applications is a mechatronics-series compulsory course for undergraduate students of Department of Biomechatronics. With the backgrounds of applied microcontrollers, electrical circuits, electronics, and programming, students will learn (1) sensors, sensing circuits, and MCU interface, (2) measurement fundamentals for mechatronics, (3) instrumental calibration and S/N control, and (4) emerging topics in sensor R&Ds.
The scope of this course covers sensor theory, contact sensing, distant sensing, sensor materials & devices, electrochemical measurements, image sensing, smart sensing, and sensor algorithm. In addition, modern measurement principles including analog and digital conditioning circuits, instrumental electronics and op amplifiers, system response analysis, A/D and D/A, MCU interfacing, IoT and AI applications will be lectured with hands-on labs and homework assignments.
The goal of this course is to help students to accomplish capstone courses at BME and get ready for advanced learning of state-of-art sensor technology in the AI-IoT era. |
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課程目標 |
1. Master electrical circuits, electronics, op amps and MCU interfaces for sensors and measurements
2. Understand modern electronic sensor principles and practice sensor projects for state-of-art applications
3. Understand fundamental measurement and signal conditioning principles for mechatronic applications
4. Be able to complete a sensor hands-on project on demand |
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課程要求 |
1. Student preps before class: (* = must)
(1) Textbook (Alciatore’s Mechatronics and Measurement Systems 5th ed.)*
(2) Lecture handouts (provided by instructor) @ NTUCOOL
(3) Lab handouts (provided by TA) @ NTUCOOL
(4) Hardware
- Arduino Uno board*
- D1mini board (recommended)
- Bread board*
- Specified sensors & electronics used in lectures (depend)
- Notebook computers*
(5) Software
- Arduino IDE program*
- Microsoft Excel® (or Matlab®)*
2. Student learning plan: (subject to change upon learning outcome)
(1) Lecture comprehension & exercise (# HW sheet, # Sensor project practice)
(2) Lab units: four hands-on labs and two demo labs (with worksheets)
(3) Weekly homework problems (2-hr hands-on practice + 2-hr text/lecture reading)
# Written-based theorem proof and calculation
# Excel modeling/parameterization
# Mechatronic sensor circuit hands-on exercise
# Arduino sensor project hands-on exercise
(4) Exams (domain knowledge test & hands-on skill test) & term project
(5) EElab as a sensor maker development hub
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預期每週課後學習時數 |
min 3 hrs / max 6 hrs (for A-level learners) |
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Office Hours |
另約時間 備註： email appointment |
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指定閱讀 |
1. Lecture and lab handouts (refer to NTU COOL)
2. Textbook: David G. Alciatore, Introduction to Mechatronics and Measurement Systems, 5th ed., McGrawHill (2019) |
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參考書目 |
Skoog, Holler, and Crouch, Principles of Instrumental Analysis, 7th ed., Cengage Learning (2016) |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
HWs |
30% |
six HW assignments (take five best grades) |
2. |
Labs |
30% |
six LAB exercise sheets (take five best grades) |
3. |
Exams |
30% |
midterm (15%), final (15%)
- paper-based exams |
4. |
Term project |
10% |
personal hands-on sensor project, submitted accroding to the guideline
(eligible for competiting limited A+ positions or optional choice for earning points) |
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針對學生困難提供學生調整方式 |
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上課形式 |
以錄影輔助 |
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作業繳交方式 |
學生與授課老師協議改以其他形式呈現 |
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考試形式 |
延後期末考試日期(時間) |
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其他 |
由師生雙方議定 |
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週次 |
日期 |
單元主題 |
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第1週 |
9/7 |
Lecture 1 From Measurements and Sensors to Data in Biomechatronics |
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第2週 |
9/14 |
Lecture 2 Contact Sensing Principles and Analog Sensing Circuit |
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第3週 |
9/21 |
Lecture 2 Cont'd
Lab 1 (for L2 Contact Sensing / Ch2): Temp Sensing Circuit and Arduino DHT11 |
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第4週 |
9/28 |
Lecture 3 Distant Sensing Principles and Electronics |
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第5週 |
10/5 |
Lecture 3 Cont'd
Lab 2 (for L3 Distant Sensing / Ch3): IR Proximity Sensing Circuit and Arduino PIR |
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第6週 |
10/12 |
Lecture 4 Sensor Materials, Devices, and System Response |
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第7週 |
10/19 |
Lecture 4 Cont'd
Demo 1 (for L4 Mater & Device / Ch4): Potentiostat and FRA Demo |
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第8週 |
10/26 |
Midterm Exam |
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第9週 |
11/2 |
Lecture 5 Electrochemical Measurements and Instrumental Amplifiers |
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第10週 |
11/9 |
Lecture 5 Cont'd
Lab 3 (for L5 Electrochem Sys / Ch5 & Ch8): INA and 16-bit ADC |
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第11週 |
11/16 |
Lecture 6 Image Sensing and Digital Sensing Circuits |
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第12週 |
11/23 |
Lecture 6 Cont'd
Demo 2 (for L6 Image Sensing / Ch6 & Ch8): Image Sensor and NI DAQ |
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第13週 |
11/30 |
Lecture 7 Smart Sensing and Microcontroller Interfacing |
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第14週 |
12/7 |
Lecture 7 Cont'd
Lab 4 (for L7 Smart Sensing / Ch7): D1 Mini + ThingSpeak & Blynk |
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第15週 |
12/14 |
Lecture 8 Computational Applications and Sensing Algorithm |
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第16週 |
12/21 |
Final Exam
(term project demo film submitted before 12/30) |
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