Scientific Computing (Polytech' MI EU)

The focus is on the performance and limitations of computational methods in engineering so that students will be able to apply them correctly “in real-world situations.” This real-world application is certainly the most challenging aspect of this introduction to scientific computing, as it requires not only a certain understanding of physics but also a broader perspective on mathematical modeling, as well as a basic level of computer skills.

To provide students with a basic understanding of algorithms for the study and representation of real-world engineering scenarios. The following topics are covered:

- Solving a differential equation of the form dy/dt = F(y, t),

- approximation of spatial derivatives using finite differences

- Solving nonlinear scalar equations (finding roots),

- Solving partial differential equations of the convection/diffusion-reaction type by drawing on the topics discussed above

The methods and algorithms covered in class are systematically implemented and applied to textbook examples during lab sessions using MATLAB.

No issues

Continuous assessment (CA) and final written exam (FWE).

Final grade = max(ET, (ET + CC)/2)