| Course Name |
(中) 感測電路設計(6823) |
| (Eng.) Sensor Circuit Design |
| Offering Dept |
Graduate Institute of Precision Engineering |
| Course Type |
Elective |
Credits |
3 |
Teacher |
WANG, DUNG-AN |
| Department |
Graduate Institute of Precision Engineering/Graduate |
Language |
English |
Semester |
2026-SPRING |
| Course Description |
The Sensor Circuit Design course aims to equip students with the core skills required to design, analyze, and implement sensor and signal-conditioning circuits. The course covers the fundamental operating principles of sensors, signal conditioning techniques, data conversion and digital interfaces, as well as design methodologies for low-power, high-precision sensing systems. Through a combination of theoretical instruction and hands-on laboratory practice, students will learn how to design reliable sensor circuits and apply them to a wide range of applications, including the Internet of Things (IoT), automation systems, medical devices, and environmental monitoring. |
| Prerequisites |
|
self-directed learning in the course |
Y |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
Understand the fundamental principles of sensors and their application scenarios.
Master the design and analysis methods of sensor circuits.
Become familiar with signal processing techniques for converting sensor signals into usable electronic outputs.
Enhance hands-on practical skills, enabling students to design, implement, and test sensor circuits. |
|
|
| topic Discussion/Production |
| Exercises |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Oral Presentation |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Basic concepts and classification of sensors |
| Week 2 |
Sensor characteristics and performance parameters |
| Week 3 |
Signal conditioning circuits |
| Week 4 |
Interfaces for resistive sensors |
| Week 5 |
Interfaces for capacitive and inductive sensors |
| Week 6 |
Analog-to-digital signal conversion |
| Week 7 |
Sensor circuits in embedded systems |
| Week 8 |
Low-power design techniques |
| Week 9 |
Noise and interference suppression |
| Week 10 |
Multi-sensor fusion circuits |
| Week 11 |
Self-calibration and self-diagnostic techniques |
| Week 12 |
Sensor circuit design for industrial automation |
| Week 13 |
Sensor applications in medical and healthcare devices |
| Week 14 |
Smart home and Internet of Things (IoT) sensing systems |
| Week 15 |
Simulation and analysis of sensor circuits |
| Week 16 |
Hardware implementation and testing of sensor circuits |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
| quiz: 30% homeowork: 30% project: 40% |
| Textbook & other References |
Textbook:”Sensors and Signal Conditioning" by Ramón Pallás-Areny and John G. Webster
References: 1 “Measurement Systems: Application and Design" by Ernest O. Doebelin
2 "Analog Electronics for Measuring Systems" by R. Pallas-Areny and J. Webster
3 "Introduction to Instrumentation and Measurements" by Robert B. Northrop
|
| Teaching Aids & Teacher's Website |
| ilearning |
| Office Hours |
| Mondays: 4-6pm |
| Sustainable Development Goals, SDGs(Link URL) |
| 03.Good Health and Well-Being 04.Quality Education 09.Industry, Innovation and Infrastructure 11.Sustainable Cities and Communities | include experience courses：N |
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