AEE410 AEROSPACE ENGINEERING LABORATORY
Course Code: | 5720410 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (2.00 - 2.00) |
ECTS Credit: | 8.0 |
Department: | Aerospace Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Assoc.Prof.Dr. NİLAY SEZER UZOL |
Offered Semester: | Fall or Spring Semesters. |
Course Objectives
At the end of this course, the student will learn:
- basic concepts used in measurement systems
- the analysis of experimental data
- basic concepts in data acquisition and signal processing
- common experimental methods used in aerospace engineering laboratory
Students will conduct laboratory works in Aerospace Engineering.
Course Content
Introduction. Experimental errors. Statistical analysis of experimental data. Data acquisition and processing. Report writing and presentations. Wind tunnels. Pressure, flow and shear stress measurements. Flow visualization. Force, torque, strain measurement. Hardware-in-the-loop simulation of dynamic and controller systems. Laboratory experiments.
Prerequisite:Consent of the department.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
- analyse experimental data
- perform statistical analysis, uncertainity analysis and post-processing on experimental data
- work as a team
- perform an experimental project related to aerospace engineering
Program Outcomes Matrix
Contribution | |||||
# | Program Outcomes | No | Yes | ||
1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
3 | An ability to communicate effectively with a range of audiences | ✔ | |||
4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ |