AEE717 COMPUTER SIMULATION USING PARTICLES
Course Code: | 5720717 |
METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
ECTS Credit: | 8.0 |
Department: | Aerospace Engineering |
Language of Instruction: | English |
Level of Study: | Undergraduate |
Course Coordinator: | |
Offered Semester: | Fall or Spring Semesters. |
Course Objectives
Course Content
Molecular Dynamics (MD) method, high-order predictor-corrector schemes, Verlet integration schemes. Particle-in-Cell (PIC) Method, numerical simulation of plasma flows, Vlasov`s equation, particle-mesh methods, discrete Fourier transforms. Direct Simulation Monte Carlo (DSMC) method, numerical simulation of rarefied and micro-nano scale gas flows. Lattice-Boltzmann method (LBM), simplified Boltzmann equation, discrete velocity models.
Course Learning Outcomes
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 | | ✔ |