Scientific computing

linma2710  2024-2025  Louvain-la-Neuve

Scientific computing
5.00 credits
30.0 h + 22.5 h
Q2
> Schedule
Teacher(s)
Absil Pierre-Antoine; Legat Benoît;
Language
English
> 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) :
  • AA1.1, AA1.2, AA1.3
  • AA2.2, AA2.3, AA2.4
  • AA3.2
  • AA6.1, AA6.3
After successful completion of this course, the student will be able to:
  • Write, modify and use numerical software in C++ and Python;
  • Write, modify and use scientific software for partial differential equations;
  • Employ parallel programming techniques
Transversal learning outcomes :
  • Use a reference book in English;
  • Use programming languages for scientific computing;
  • Release software along with suitable user documentation.
 
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.
The final grade is min(1/2 D + 1/2 E, D+5, E+5), where D is the grade of the work carried out during the term and E is the grade of the exam.
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
https://moodle.uclouvain.be/course/view.php?id=2951
Bibliography
  • Textbook
  • Complementary documents posted on Moodle
Further information is provided in the "Course outline" document available on Moodle.
Faculty or entity
> MAP


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Computer Science and Engineering
INFO2M
5
Master [120] in Computer Science
SINF2M
5
Master [120] in Mathematical Engineering
MAP2M
5