5.00 credits
30.0 h + 22.5 h
Q2
Teacher(s)
Absil Pierre-Antoine; Meerbergen Karl;
Language
English
> French-friendly
> French-friendly
Prerequisites
Basic training in numerical methods and programming (level of LEPL1104).
Main themes
- Numerical software in C++ and Python
- Parallel computing
- Numerical methods for partial differential equations
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 |
Contribution of the course to the program objectives (Nr) :
|
Content
- Programming concepts in C++ and Python
- Numerical software engineering in C++ and Python
- Analysis of partial differential equations
- Numerical methods for partial differential equations
- Introduction to parallel computing using MPI
- Other topics related to the course themes.
Teaching methods
- Interactive lectures
- Homework assignments, exercises, or laboratory work under the supervision of the teaching assistants
Evaluation methods
- Work carried out during the term: homework assignments, exercises, or laboratory work. These activities are thus organized (and evaluated) only once per academic year.
- Exam: written, or sometimes oral depending on the circumstances.
Further information is provided in the "Course outline" document available on Moodle (see "Online resources" below).
Other information
The organisation details are given every year in the course outline.
Online resources
Bibliography
- Textbook
- Complementary documents posted on Moodle
Faculty or entity
MAP
