Artificial Intelligence [30.0]

Students who have attended the "Artificial Intelligence" option will have to be able to:
• Identify and implement a class of methods and techniques enabling a software to solve complex problems which, if solved by a human being, requires "intelligence".
• Understand and effectively implement methods and techniques of artificial intelligence such as automated reasoning, research and heuristic, acquisition and representation of knowledge, automatic learning, problems of constraints satisfaction.
• Identify classes of applications where these methods and tools can be applied; apprehend particular classes of application and their specific techniques – for example, robotics, computer vision, planning, search of data, natural language processing and bioinformatics data
• Formalize and structure bodies of complex knowledge by using a systematic and rigorous approach to develop "intelligent" systems of quality.
Legend
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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Year
12

All courses in this option are compulsory.
Mandatory INGI2262

Machine learning  (in English) Pierre Dupont30h + 30h 5credits 1q xx
Mandatory INGI2365

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

Natural language processing  (in English) 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 English) Marco Saerens30h + 30h 5credits 2q xx
Mandatory ELEC2885

Image processing and computer vision  (in English) Christophe De Vleeschouwer (coord.), Benoît Macq30h + 30h 5credits 1q xx
 
Other Master offering this option
 
| 6/03/2009 |