Major in Artificial Intelligence: big data, optimization and algorithms

sinf2m  2016-2017  Louvain-la-Neuve


Students choosing to major in Artificial Intelligence must be able to:
  • Identify and implement methods and techniques that allow software to solve complex problems that when solved by humans require “intelligence”,
  • Understand and put to good use methods and techniques relating to artificial intelligence such as automatic reasoning, research and heuristics, acquisition and representation of knowledge, automatic learning, problems associated with overcoming constraints,
  • Identify applications and its methods and tools; understand a particular category of applications and its related techniques, for example robotics, computer vision, planning, data mining, computational linguistics and bioinformatics,
  • Formalise and structure a body of complex knowledge and use a systematic and rigorous approach to develop quality “intelligence” systems.

 
> Legend

The student shall select

De 20 à 30 credits parmi
Annual block
  1 2

Mandatory Required courses in Artificial Intelligence: big data, optimization and algortihms
Mandatory LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont;
30h+30h  5 credits 2q x x
Mandatory LINGI2263 Computational Linguistics   Pierre Dupont;
Cedrick Fairon;
30h+15h  5 credits 1q x x
Mandatory LINGI2266 Advanced Algorithms for Optimization   Pierre Schaus;
30h+15h  5 credits 1q x x
Mandatory LINGI2365 Constraint programming   Yves Deville;
Christophe Lecoutre (compensates Yves Deville);
30h+15h  5 credits 2q x x
 
Optionnal Elective courses in Artificial Itelligence

The student can select 10 credits between:  

Optionnal LELEC2870 Machine Learning : regression, dimensionality reduction and data visualization   John Lee (compensates Michel Verleysen);
Michel Verleysen;
30h+30h  5 credits 1q x x
Optionnal LELEC2885 Image processing and computer vision   Christophe Devleeschouwer;
Laurent Jacques;
30h+30h  5 credits 1q x x
Optionnal LGBIO2010 Bioinformatics   Pierre Dupont;
Michel Ghislain;
30h+30h  5 credits 2q x x
Optionnal LINMA1691 Discrete mathematics - Graph theory and algorithms   Vincent Blondel;
Jean-Charles Delvenne;
30h+22.5h  5 credits 1q x x
Optionnal LINMA1702 Applied mathematics : Optimization I   Francois Glineur;
30h+22.5h  5 credits 2q x x
Mandatory LINGI2145 Cloud Computing   Damien Leroy;
30h+15h  5 credits 1q x x
Optionnal LINMA2450 Combinatorial optimization   Jean-Charles Delvenne;
Julien Hendrickx;
30h+22.5h  5 credits 1q x x
Mandatory LINMA2472 Algorithms in data science   Vincent Blondel (coord );
Jean-Charles Delvenne;
Gautier Krings (compensates Vincent Blondel);
30h+22.5h  5 credits 1q x x
Optionnal LSINF2275 Data mining & decision making   Marco Saerens;
30h+15h  5 credits 2q x x