AEE445 HYPERSONIC FLOW
Course Code: | 5720445 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 5.0 |
Department: | Aerospace Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | Prof.Dr. SİNAN EYİ |
Offered Semester: | Fall Semesters. |
Course Objectives
The primary objective of this course is to give students the fundamentals of hypersonic flow which is encountered at the extreme high speed flight such as during the atmospheric entry of space vehicles and the propelled flight of missiles. This course will be offered as a technical elective course to students who have interest in high-speed aerodynamics.
Course Content
General characterization of hypersonic flow, inviscid hypersonic flow, high temperature effects.
Course Learning Outcomes
Abilities to use analytical and numerical methods for the analysis of hypersonic flow
An ability to formulate, simplify and solve hypersonic flow problems.
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 | ✔ |