COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Measurement Techniques
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
AE 303
Fall
2
2
3
5
Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Be able to perform statistical analysis of experimental data.
  • Be able to carry out graphical analysis of experimental data and property present the results in graphical form.
  • Be able to decide on the proper number of sampled data and sampling frequency acquiring time dependent data.
  • Be able to eliminate questionable data by analyzing data set.
  • Be able to do uncertainty analysis and use its results to improve the measurement system..
Course Description The course content covers the topics : Static and dynamic characteristics of transducers, voltage, current and resistance measurement, Wheatstone bridge, flow rate, velocity, displacement, rotational speed, torque, acceleration, pressure, temperature measurements by using optic and ultrasonic measurement systems, filtering the measured data, Fourier analysis.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Basic Concepts, calîbration, standards, dimensions and units Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson, Ch 1
2 Generalised measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 2
3 Generalised measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 2
4 Measurement systems with electrical signals Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 3
5 Data acquisition systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 3
6 Statistical analysis of experimental data Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 4
7 Statistical analysis of experimental data Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 4
8 Midterm
9 Uncertainty analysis Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji PearsonCh 6
10 Uncertainty analysis Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 6
11 Measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji PearsonCh 9
12 Measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 10
13 Measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji Pearson Ch 11
14 Measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji PearsonCh 11
15 Measurement systems Introduction to Engineering Experimentation: International Edition, 3/E Anthony J. Wheeler Ahmad R. Ganji PearsonCh 11
16 Final
Course Notes/Textbooks
Introduction to Engineering Experimentation: International Edition, 3/E
Anthony J. Wheeler
Ahmad R. Ganji 
Pearson
Suggested Readings/Materials Gotdstein, R.J., 1996, Fluid Mechanics Measurements, Washington, DC : Taylor & Francis, 1SBN:156032306X.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
1
30
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
7
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
5
80
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
2
Final Exams
1
2
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering.

X
2

To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering.

X
3

To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques.

4

To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering.

X
5

To be able to design and conduct experiments, gather data, analyze and interpret results.

X
6

To be able to develop communication skills, ad working ability in multidisciplinary teams.

7

To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Aerospace Engineering solutions.

X
9

To be aware of professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

X
10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

X
11

To be able to collect data in the area of Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1).

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Aerospace Engineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest