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.
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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
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From 20 to 30 credits | |||||||||||||||||||||||||||
Annual unit | |||||||||||||||||||||||||||
1 | 2 | ||||||||||||||||||||||||||
Content: | |||||||||||||||||||||||||||
Required courses in Computing and Applied Mathematics | |||||||||||||||||||||||||||
LINMA2472 | Algorithms in data science | Jean-Charles Delvenne (coord.) | , Gautier Krings (compensates Vincent Blondel)30h+22.5h | 5 credits | q1 | x | x | ||||||||||||||||||||
LINMA2710 | Scientific computing | Pierre-Antoine Absil (coord.) | , Karl Meerbergen (compensates Anthony Papavasiliou) ,30h+22.5h | 5 credits | q2 | x | x | ||||||||||||||||||||
LINGI2364 | Mining Patterns in Data | Siegfried Nijssen | 30h+15h | 5 credits | q2 | x | x | ||||||||||||||||||||
LSINF2275 | Data mining & decision making | Marco Saerens | 30h+15h | 5 credits | q2 | x | x | ||||||||||||||||||||
Elective courses in computing and applied mathematics
The student can select 10 credits amongst
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LELEC2870 | Machine learning : regression, deep networks and dimensionality reduction | John Lee | , Michel Verleysen30h+30h | 5 credits | q1 | x | x | ||||||||||||||||||||
LINGI2266 | Advanced Algorithms for Optimization | Pierre Schaus | 30h+15h | 5 credits | q1 | x | x | ||||||||||||||||||||
LINGI2348 | Information theory and coding | Jérôme Louveaux | , Benoît Macq , Olivier Pereira30h+15h | 5 credits | q2 | x | x | ||||||||||||||||||||
LINGI2365 | Constraint programming | Pierre Schaus | , Pierre Schaus (compensates Yves Deville)30h+15h | 5 credits | q2 | x | x | ||||||||||||||||||||
LINMA2450 | Combinatorial optimization | Jean-Charles Delvenne | , Julien Hendrickx30h+22.5h | 5 credits | q1 | x | x | ||||||||||||||||||||
LINMA2470 | Stochastic modelling | Philippe Chevalier | 30h+22.5h | 5 credits | q2 | x | x | ||||||||||||||||||||
LINMA2471 | Optimization models and methods II | François Glineur | 30h+22.5h | 5 credits | q1 | x | x | ||||||||||||||||||||
LMAT2450 | Cryptography | Olivier Pereira | 30h+15h | 5 credits | q1 | x | x | ||||||||||||||||||||
LMECA2170 | Numerical Geometry | Vincent Legat | , Jean-François Remacle30h+30h | 5 credits | q1 | x | x |