lsinf1113  2017-2018  Louvain-la-Neuve

6 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Sadre Ramin;
Language
French
Prerequisites
LSINF1111 andLSINF1101

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
  • Representation of floating point numbers
  • rounding error Problem and error propagation (discussion for the methods below).
  • Solving linear systems, including computation of eigenvalues ''/ eigenvectors and its application in terms of the principal component analysis
  • Interpolations and regressions
  • numerical computation of derivate
  • numerical computation of integral
  • Solving nonlinear equations, application to optimization problems
  • Fourier decomposition (including explaination of complex numbers)
  • Differential equations (including an introduction to this mathematical field)
Since the course is intended for IT professionals, the emphasis will be on practical implementation of these methods. Each programming mission will be contextualized and applied to a real application (economy, etc).
 
Applications and examples will be taken preferably in the other courses of the program SINF1BA (economics, electronic basics for computer science, for example). Otherwise, they will be taken in other domains (mechanical, for example) but the teacher will take care to introduce the relevant concepts.
Aims

At the end of this learning unit, the student is able to :

1

Given the learning outcomes of the "Bachelor in Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • S1.G1, S1.3
  • S2.2, S2.4
  • S6.1

Students completing successfully this course will be able to

  • model simple problems using appropriate mathematical notation;
  • identify numerical algorithms suitable for solving a problem expressed mathematically;
  • select specific criteria on the basis of the most efficient method to numerically solve such a problem.
  • implement the numerical method to solve of the problem.
 

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”.
Teaching methods
- Lectures for the theoretical part
- Exercises - implementation of numerical algorithms and visualization of results in Java using open-source tools (gnuplot etc.)
Evaluation methods
Written final exam including in the second session
Online resources
https://moodleucl.uclouvain.be/course/view.php?id=10287
Faculty or entity
INFO


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Bachelor in Computer Science
SINF1BA
6
LSINF1111 AND LSINF1112 AND LSINF1101
Master [120] in data Science: Statistic
DATS2M
6