• ECTS

    5 credits

  • Training structure

    Faculty of Science

Description

Acquire basic knowledge of numerical methods for differential equations

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Objectives

This EU will address the following points:

- Numerical methods for ODEs: Modeling, single-step methods (Euler, Runge, Heun, RK4), consistency error. Order and convergence of schemes. Stiff problems and stability of implicit schemes. Multi-step methods. Stability and convergence.

- Introduction to linear PDEs and modeling: basic concepts, first-order examples, classification of second-order PDEs with constant coefficients. Examples of typical linear PDEs, introduction to numerical solution using finite differences, illustrations with examples.

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Teaching hours

  • Numerical Analysis of Differential Equations - LectureLecture6 p.m.
  • Numerical Analysis of Differential Equations - Practical WorkPractical Work12 p.m.
  • Numerical Analysis of Differential Equations - TutorialTutorials3 p.m.

Mandatory prerequisites

The L1, L2, and first semester of L3 analysis courses, in particular:

- HAX302X Analysis III Integration and Elementary Differential Equations

- HAX502X Differential Calculus and Differential Equations

 

Recommended prerequisites: first semester of L3

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Additional information

Hourly volumes:

            CM: 18

            TD: 15

            TP: 12

            Land: -

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