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Study programme 2014-2015

Teaching and training




Students completing successfully this option will be able to
• identify and implement a class of methods and techniques to design software able to solve complex problems which, if solved by a human beings, would require "intelligence" ;
• select and apply wisely methods and techniques related to artificial intelligence such as automated reasoning, heuristic search, acquisition and knowledge representation, machine learning, and constraint satisfaction problems ;
• identify types of applications where these methods and tools can be applied; master some of these applications and their specific techniques - for example, robotics, computer vision, planning, data mining, natural language processing and bioinformatics ;
• formalize and structure body of complex knowledge using a systematic and rigorous approach to develop quality "intelligent" systems.

 
> Legend

The student shall select

De 20 à 30 credits parmi
Year
  1 2

Mandatory Compulsory courses in Artifficial intelligence
Mandatory LINGI2262 Machine Learning :classification and evaluation   Pierre Dupont 30h+30h  5 credits 2q x x
Mandatory LINGI2263 Computational Linguistics   Pierre Dupont, Cédrick 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 30h+15h  5 credits 2q x x
 
Optionnal Elective courses in Artificial Itelligence

The student can select 10 credits amongst  

Optionnal LSINF2275 Data mining & decision making   Marco Saerens 30h+30h  5 credits 2q x x
Optionnal LELEC2885 Image processing and computer vision   Christophe De Vleeschouwer (coord.), Laurent Jacques (compensates Christophe De Vleeschouwer), Benoît Macq 30h+30h  5 credits 1q x x
Optionnal LGBIO2010 Bioinformatics   Pierre Dupont, Michel Ghislain 30h+30h  5 credits 2q x x
Optionnal LINMA1702 Applied mathematics : Optimization I   Vincent Blondel, François Glineur (compensates Vincent Blondel), François Glineur (coord.) 30h+22.5h  5 credits 2q x x
Optionnal LINMA1691 Discrete mathematics - Graph theory and algorithms   Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) 30h+22.5h  5 credits 1q x x
Optionnal LINMA2111 Discrete mathematics II : Algorithms and complexity   Vincent Blondel, Jean-Charles Delvenne (compensates Vincent Blondel) 30h+22.5h  5 credits 2q x x
Optionnal LSTAT2320 Design of experiment.   Patrick Bogaert, Bernadette Govaerts 22.5h+7.5h  5 credits 2q x x
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 LINMA2450 Combinatorial optimization   Jean-Charles Delvenne 30h+22.5h  5 credits 1q x x
Optionnal LINGI2264 Automated reasoning   N. 30h+15h  5 credits 1q x x