Students completing the major “Data science and Applied Mathematics” must be able to: Understand engineering fields requiring synergy between applied mathematics and computer science such as algorithms, scientific calculations, modelling computer systems, optimisation, machine learning or data mining; Understand and put to good use algorithms and techniques used in data science; Identify and implement models and techniques relating to statistics, machine learning and data mining; learn classes of applications such as the treatment of noisy data, pattern recognition or automatic extraction in large data collections.
> Legend | ||||||||
This option is limited to students who have taken the INFO/MAP major/minor pairing or the SINF Bachelor's degree program with the equivalent of a minor in mathematics. The student shall select |
||||||||
De 20 à 30 CREDITS parmi | ||||||||
Annual block | ||||||||
1 | 2 | |||||||
Contenu: | ||||||||
Required courses in Computing and Applied Mathematics | ||||||||
LINGI2262 | Machine Learning :classification and evaluation | Pierre Dupont | 30h+30h | 5 credits | 2q | x | x | |
LINMA2472 | Algorithms in data science | Vincent Blondel , Jean-Charles Delvenne (coord.) , Gautier Krings (compensates Vincent Blondel) | 30h+22.5h | 5 credits | 1q | x | x | |
LINMA2710 | Scientific computing | Pierre-Antoine Absil (coord.) , Karl Meerbergen (compensates Anthony Papavasiliou) , Anthony Papavasiliou | 30h+22.5h | 5 credits | 2q | x | x | |
LSINF2275 | Data mining & decision making | Marco Saerens | 30h+15h | 5 credits | 2q | x | x | |
Elective courses in computing and applied mathematics
The student can select 10 credits amongst |
||||||||
LELEC2870 | Machine Learning : regression, dimensionality reduction and data visualization | John Lee (compensates Michel Verleysen) , Michel Verleysen | 30h+30h | 5 credits | 1q | x | x | |
LINGI2266 | Advanced Algorithms for Optimization | Pierre Schaus | 30h+15h | 5 credits | 1q | x | x | |
LINGI2348 | Information theory and coding | Jérôme Louveaux , Benoît Macq , Olivier Pereira | 30h+15h | 5 credits | 2q | x | x | |
LINGI2364 | Mining Patterns in Data | Siegfried Nijssen | 30h+15h | 5 credits | 2q | x | x | |
LINGI2365 | Constraint programming | Yves Deville , Pierre Schaus , Pierre Schaus (compensates Yves Deville) | 30h+15h | 5 credits | 2q | x | x | |
LINMA2450 | Combinatorial optimization | Jean-Charles Delvenne (coord.) , Julien Hendrickx | 30h+22.5h | 5 credits | 1q | x | x | |
LINMA2470 | Stochastic modelling | Philippe Chevalier , Raphaël Jungers (compensates Philippe Chevalier) | 30h+22.5h | 5 credits | 2q | x | x | |
LINMA2471 | Optimization models and methods II | François Glineur | 30h+22.5h | 5 credits | 1q | x | x | |
LMAT2450 | Cryptography | Olivier Pereira | 30h+15h | 5 credits | 1q | x | x | |
LMECA2170 | Numerical Geometry | Vincent Legat , Jean-François Remacle | 30h+30h | 5 credits | 1q | x | x |