Informations générales
Number of hours
- Lectures -
- Projects -
- Tutorials -
- Internship -
- Laboratory works 50.0
ECTSECTS
2.0
Goal(s)
Algorithms:
Provide the necessary computer tools for engineers:
- Know how to specify and understand simple algorithms
- Master C programming
Numerical Methods:
- introduce students to the fundamental concepts of numerical analysis that every engineer should master in order to effectively address and solve real-world problems.
- develop the ability to formulate and implement mathematical and computational techniques for solving problems expressed in equation form, using appropriate numerical methods and programming tools (Python).
Responsible(s)
Content(s)
Algorithmics:
You will work in pairs on a machine (BE).
The topics covered in this course, which allows you to learn the basic syntax of the C language, are:
- Modular programming and function parameters
- Dynamic memory reservation
- Character strings, file access
- Arrays and data structures
- Electrostatics (2 hours)
Numerical Methods:
Applications will be programmed using the Python language.
- Foundations of Numerical Methods: Recurrence relations, discretization, approximation, sources of error and their propagation, stability, convergence, etc.
- Interpolation and Data Approximation: Polynomial interpolation, piecewise interpolation, least squares method.
- Solving Nonlinear Numerical Equations using Iterative Methods:Bisection method, Newton-Raphson method.
- Solving Ordinary Differential Equations (1st and 2nd order): Euler’s method, Runge-Kutta methods.
- Solving Partial Differential Equations Using the Finite Difference Method: Application to heat transfer analysis.
no prerequisites
Test
Regular Session
- Continuous Assessment (CA): Non-recoverable evaluation, conducted through practical work or computer-based tests.
- Final Exam (FE): Recoverable evaluation, in the form of 2 exam: 1-hour written exam + 1 hour on a computer
Second Session
- Only the Final Exam (FE) is recoverable. The make-up exam grade will replace the original final exam grade.
- The Continuous Assessment (CA) grade is final and cannot be retaken.
Calendar
The course exists in the following branches:
- Curriculum - Master of Engineering GEE - Semester 5-6
Additional Information
Course ID : 3EUAAEP8
Course language(s): 
You can find this course among all other courses.