1. Introduction to Scientific Computing 2. Solving Linear Equations# A. Gaussian Elimination. B. Lu Decomposition. C. Matrices Norms and Condition Number. D. Iterative Methods 3. Solving Nonlinear Equations 4. Introduction to Optimization 5. Qr Factorization, Applications, Eigenvalues, Singular Values. 6. Interpolation Theory. 7. Numerical Integration and Differentiation. 8. Ordinary Differential Equations# Initial Value Problems And Boundary Value Problems.

Faculty: Mechanical Engineering
|Undergraduate Studies

Pre-required courses

(104131 - Ordinary Differential Equations/h and 234112 - Programming )c() or (104131 - Ordinary Differential Equations/h and 234111 - Introduction to Computer Science) or (104131 - Ordinary Differential Equations/h and 234128 - Introduction to Computing With Python)


Course with no extra credit

34033 - Numerical Analysis M 54254 54374 - Process Analysis Using Numerical Methods 84135 - Numerical Analysis For Aerospace Engi. 85135 - Numerical Analysis For Aeronauticai Eng. 104283 - Introduction to Numerical Analysis 104294 - Int. to Numerical Analysis 234125 - Numerical Algorithms


Course with no extra credit (contained)

238125 - Numerical Algorithms M


Semestrial Information