一、課程說明(Course Description)
This course aims to provide a comprehensive view of theory and application of
experimental techniques for thermo-fluid measurements. Computer data
acquisition, pressure, temperature, and velocity measurements with advanced
experimental techniques like particle image velocimetry (PIV),
pressure/temperature-sensitive paint (PSP/TSP) will be included, as well as
flow visualization.

二、指定用書(Text Books)
Textbook: Class notes

三、參考書籍(References)
Recommended references:
‧ Fluid Mechanics Measurements, R. Goldstein
‧ Particle Image Velocimetry, M. Raffel, C. E. Willert, S. T. Wereley, J.
Kompenhans
‧ Pressure and Temperature Sensitive Paints, T. Liu, J. Sullivan

四、教學方式(Teaching Method)
Lecture, labs, and course project

Course project: Teams of up to two/three, select a topic which is interesting
to you and your teammate. Use the skill learned from the course, design and
execute experiment to acquire the necessary information for your project.

五、教學進度(Syllabus)
Topics:
Introduction
Measurement uncertainty
Pressure measurement
Velocity measurement
Temperature measurement
Flow visualization
Pre-designed lab for calibration and data analysis
Pre-designed lab for wind tunnel measurement
Pre-designed lab for water tunnel measurement
Course project


六、成績考核(Evaluation)
Grading: Midterm 20%, Final project 40%, HW 10%, and Labs 30%


***Important Notice"

Ethics Statement on Generative Artificial Intelligence


After careful consideration, the instructor of this course deems it
inappropriate to use generative artificial intelligence in this class. This is
because the content within generative AI contains numerous errors and may
adversely affect students' understanding of foundational knowledge. In
accordance with the published Guidelines for Collaboration, Co-learning, and
Cultivation of Artificial Intelligence Competencies in University Education,
this course adopts the following policy : Prohibited use

Students enrolled in this course should be aware that they may not submit
assignments, reports, or personal reflections generated using artificial
intelligence. If such usage is discovered, instructors, the institution, or
relevant units have the right to reevaluate the assignment or report or withhold
scores. Students enrolled in this course agree to the above ethics statement if
registering for the class.