Computational Methods in Aerospace Engineering (M-I-T)

• Session 1: Course introduction and ordinary differential equations (ODEs) (M-I-T)
• Session 2: Numerical Integration of ODEs: Approximating time derivative (M-I-T)
• Session 3: Numerical Integration of ODEs: Accuracy and a pendulum problem (M-I-T)
• Session 4: Numerical Integration of ODEs: Stability and a ballistics problem (M-I-T)
• Session 5: Numerical Integration of ODEs: Nonlinear Systems (M-I-T)
• Session 6: Numerical Integration of ODEs: Stiffness, Implicit Methods, Runge-Kutta (M-I-T)
• Session 7: Numerical Methods of Partial Differential Equations: Introduction (M-I-T)
• Session 8: Numerical Methods of PDEs: Finite Difference Methods 1 (M-I-T)
• Session 10: Numerical Methods of PDEs: Finite Volume Methods 1 (M-I-T)
• Session 11: Numerical Methods of PDEs: Finite Volume Methods 2 (M-I-T)
• Session 12: Numerical Methods of PDEs: Finite Volume in 2D and Midterm Review (M-I-T)
• Session 15: Numerical Methods of PDEs: Collocation and Weighted Residuals (M-I-T)
• Session 21: Probabilistic Methods & Optimization: Statistical sampling methods (M-I-T)
• Session 23: Probabilistic Methods & Optimization: Intro to design optimization I (M-I-T)
• Session 24: Probabilistic Methods & Optimization: Intro to design optimization II (M-I-T)
• Session 25: Probabilistic Methods & Optimization: Final exam review (M-I-T)