Artificial Intelligence [30.0]

Students with an option in "Artificial Intelligence" should be able to:
- Identify and implement a class of methods and techniques allowing a software to solve complex problems which would require human « intelligence »
- Understand and judiciously implement methods and techniques of artificial intelligence such as automatic reasoning, research and heuristics, acquisition et representation of knowledge, automatic learning, constraint satisfaction issues
- Identify classes of applications to which these methods and tools can be applied; identify particular  applications and their specific techniques – e.g. robotics, computer vision, planning, data scanning, treatment of natural language and biocomputer data
- Formalize and organize corpuses of complex knowledge in a systematic and rigorous manner so as to develop high quality “intelligent” systems

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MandatoryOptional
Courses not taught this academic yearPeriodic courses not taught this academic year
Periodic courses taught this academic yearTwo year courses

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All courses in this option are compulsory.
Mandatory INGI2262

Machine learning  (in English) Yves Deville, Pierre Dupont (coord.), Marco Saerens30h + 30h 5credits 1q xx
Mandatory INGI2365

constraint programming  (in French) Yves Deville (coord.), Peter Van Roy30h + 15h 5credits 2q xx
Mandatory INGI2263

Natural language processing  (in French) Pierre Dupont (coord.), Cédrick Fairon30h + 15h 5credits 2q xx
Mandatory INGI2264

Automated reasoning  (in English) Charles Pecheur30h + 15h 5credits 1q xx
Mandatory SINF2275

Data mining & decision making  (in French) Marco Saerens30h + 30h 5credits 2q xx
Mandatory ELEC2885

Image processing and computer vision  (in English) Christophe De Vleeschouwer, Benoît Macq30h + 30h 5credits 1q xx
 
Other Master offering this option
 
| 31/01/2009 |