Major in Artificial Intelligence: big data, optimization and algorithms

info2m  2016-2017  Louvain-la-Neuve


Students who choose to major in artificial intelligence must be able to:
  • Identify and use methods and techniques that create software-based solutions to complex problems,
  • Understand and put to good use the methods and techniques pertaining to artificial intelligence such as automated reasoning, heuristic research, knowledge acquisition, automated learning, problems related to constraint satisfaction,
  • Identify a category of applications and how to use its methods and tools; understand specific categories of applications and their specific techniques-for example computer vision, scheduling, data mining, natural language processing, bioinformatics data,
  • Formalise and structure a body of complex knowledge by using a systematic and rigorous approach to develop quality “intelligent” systems.

 
> Legend

Students shall select 20 to 30 credits among

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

Student shall select 10 credits among  

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 LINGI2145 Cloud Computing   Damien Leroy;
30h+15h  5 credits 1q 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
Optionnal LINMA2450 Combinatorial optimization   Jean-Charles Delvenne;
Julien Hendrickx;
30h+22.5h  5 credits 1q x x
Optionnal 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