ECTS
5 credits
Training structure
Faculty of Science
Description
Acquire basic knowledge of numerical methods for differential equations
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.
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
Additional information
Hourly volumes:
CM: 18
TD: 15
TP: 12
Land: -