Scientific computing

LINMA2710  2018-2019  Louvain-la-Neuve

Scientific computing
5.0 credits
30.0 h + 22.5 h
2q

Teacher(s)
Papavasiliou Anthony ; Absil Pierre-Antoine (coordinator) ; Roose Dirk (compensates Papavasiliou Anthony) ;
Language
Anglais
Prerequisites

Basic training in numerical methods and programming (level of LFSAB1104).

Main themes
  • Numerical software in C++ and Python
  • Parallel computing
  • Numerical methods for partial differential equations
Aims

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.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Content
  • Programming concepts in C++ and Python
  • Numerical software engineering in C++ and Python
  • Analysis of partial differential equations
  • Finite-difference 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
  • Homeworks, exercises, or laboratory work during the course semester
  • Exam

Clarifications are provided in the course outline (plan de cours) available on Moodle.

Other information

The organisation details are given every year in the course plan.

Bibliography
  • Reference books
  • Complementary documents posted on Moodle

Precisions are given in the course outline (plan de cours) available on Moodle.

Faculty or entity


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

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Computer Science and Engineering
5
-

Master [120] in Computer Science
5
-

Master [120] in Mathematical Engineering
5
-