1
课程详述
COURSE SPECIFICATION
以下课程信息可能根据实际授课需要或在课程检讨之后产生变动。如对课程有任何疑问，请联
系授课教师。
The course information as follows may be subject to change, either during the session because of unforeseen
circumstances, or following review of the course at the end of the session. Queries about the course should be
directed to the course instructor.
1.
课程名称 Course Title
传感技术
Sensing Technology
2.
授课院系
Originating Department
机械与能源工程系
Department of Mechanical and Energy Engineering
3.
课程编号
Course Code
ME425
4.
课程学分 Credit Value
3
5.
课程类别
Course Type
专业选修课
Major Elective Course
6.
授课学期
Semester
春季学期
Spring
7.
授课语言
Teaching Language
英文
English
8.
授课教师、所属学系、联系方
式（如属团队授课，请列明其
他授课教师）
Instructor(s), Affiliation&
Contact
（For team teaching, please list
all instructors）
方绚莱
机械与能源工程系
Nicholas Xuanlai Fang
Department of Mechanical and Energy Engineering
9.
实验员/助教、所属学系、联系
方式
Tutor/TA(s), Contact
待公布 To be announced
10.
选课人数限额(可不填)
Maximum Enrolment
（Optional）
授课方式
Delivery Method
讲授
Lectures
习题/辅导/讨论
Tutorials
实验/实习
Lab/Practical
其它(请具体注明)
Other（Please specify）
总学时
Total
11.
学时数
Credit Hours
32
32
64
2
12.
先修课程、其它学习要求
Pre-requisites or Other
Academic Requirements
ME307 控制工程基础 Fundamentals of Control Engineering
13.
后续课程、其它学习规划
Courses for which this course
is a pre-requisite
14.
其它要求修读本课程的学系
Cross-listing Dept.
教学大纲及教学日历 SYLLABUS
15.
教学目标 Course Objectives
1. Exposure to different sensor types to measure multiple classes of physical parameters:
2. Identify and/or list different types of actuator technology
3. Define the advanced applied math topics and describe their potential applications
16.
预达学习成果 Learning Outcomes
1. Experimentation and data collection: Use actuators, data acquisition equipment, and sensors to create and
measure system input and output signals, and vary experimental parameters as needed to produce useful data
a. Recognize useful vs. useless measured signals and if necessary resolve issues such as inadequate signal
to noise ratio, resolution limitations, inadequate sample rate, and clipping by varying experimental
parameters.
b. Ensure useful frequency information can be obtained from a measured signal by recognizing and removing
aliasing by increasing the sample rate until the Nyquist frequency is greater than the highest frequency
present in the signal or by adding an anti-aliasing filter to remove signal frequencies greater than
the Nyquist frequency.
2. Data analysis: Draw conclusions from measurements using both numerical and analytical methods
a. Use filtering to remove noise or signal at unwanted frequencies, e.g. to increase the signal to noise ratio.
b. Create a parametric model from data by using curve fitting (parameter estimation) tools to determine a
function of best fit and the values of the best-fit parameters with uncertainty and evaluate whether the
assumed functional form is statistically significant
3. Communication: Communicate an experimental background, methods, results, and conclusions through oral,
visual, and written communication, including an abstract, in a style and format suitable for publication in a refereed
journal or presentation at a conference in the field.
a. Present data in a graphical form acceptable for publication in a peer-reviewed journal or presentation at a
professional conference in the field.
17.
课程内容及教学日历 （如授课语言以英文为主，则课程内容介绍可以用英文；如团队教学或模块教学，教学日历须注明
主讲人）
Course Contents (in Parts/Chapters/Sections/Weeks. Please notify name of instructor for course section(s), if
this is a team teaching or module course.)
3
4. Experimentation and data collection: Use actuators, data acquisition equipment, and sensors
to create and measure system input and output signals, and vary experimental parameters as
needed to produce useful data
a. Recognize useful vs. useless measured signals and if necessary resolve issues such as
inadequate signal to noise ratio, resolution limitations, inadequate sample rate, and
clipping by varying experimental parameters.
b. Ensure useful frequency information can be obtained from a measured signal by
recognizing and removing aliasing by increasing the sample rate until the Nyquist
frequency is greater than the highest frequency present in the signal or by adding an
anti-aliasing filter to remove signal frequencies greater than the Nyquist frequency.
5. Data analysis: Draw conclusions from measurements using both numerical and analytical
methods
a. Use filtering to remove noise or signal at unwanted frequencies, e.g. to increase the
signal to noise ratio.
b. Create a parametric model from data by using curve fitting (parameter estimation) tools
to determine a function of best fit and the values of the best-fit parameters with
uncertainty and evaluate whether the assumed functional form is statistically significant
6. Communication: Communicate an experimental background, methods, results, and
conclusions through oral, visual, and written communication, including an abstract, in a style
and format suitable for publication in a refereed journal or presentation at a conference in the
field.
a. Present data in a graphical form acceptable for publication in a peer-reviewed journal or
presentation at a professional conference in the field.
18.
教材及其它参考资料 Textbook and Supplementary Readings
《传感器实战全攻略， 41 个创客喜爱的 Arduino 与 Raspberry Pi 制作项目》
作者:[芬]Tero Karvinen、Kimmo Karvinen、Ville Valtokari;出版社:人民邮电出版社;出版时间:2016 年 06 月
课程评估 ASSESSMENT
19.
评估形式
Type of
Assessment
评估时间
Time
占考试总成绩百分比
% of final
score
违纪处罚
Penalty
备注
Notes
出勤 Attendance
5
课堂表现
Class
Performance
15
Participation in Q&As
小测验
Quiz
课程项目 Projects
30
Go Forth presentations
平时作业
Assignments
30
Lab assignments and reports
期中考试
Mid-Term Test
期末考试
Final Exam
4
期末报告
Final
Presentation
20
Poster presentation and Final
paper
其它（可根据需要
改写以上评估方
式）
Others (The
above may be
modified as
necessary)
20.
记分方式 GRADING SYSTEM
√A. 十三级等级制 Letter Grading
B. 二级记分制（通过/不通过） Pass/Fail Grading
课程审批 REVIEW AND APPROVAL
21.
本课程设置已经过以下责任人/委员会审议通过
This Course has been approved by the following person or committee of authority
