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Core courses for the Master in computer science and engineering [35.0]
FR
q1+q2 25 credits
LELEC2531 Electronic digital systemsLEPL2020 Professional integration work« Les modules du cours LEPL2020 sont organisés sur les deux blocs annuels du master. Il est fortement recommandé à l’étudiant.e de les suivre dès le bloc annuel 1, mais il.elle ne pourra inscrire le cours que dans son programme de bloc annuel 2.EN
q1+q2 30h+15h 2 creditsTeacher(s):
> Myriam Banaï
> Francesco Contino (coord.)
> Delphine Ducarme
> Jean-Pierre Raskin
Myriam Banaï
Computer science seminarsThe student shall select 3 credits from amongst
Students may choose 3 credits among
LINFO2349 Networking and security seminarEN
q1 30h 3 creditsTeacher(s):
> Sébastien Jodogne
> Siegfried Nijssen
Sébastien Jodogne
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Professional Focus [30.0]Content:Computer science coursesLINFO2132 Languages and translators
EN
q2 30h+30h 6 creditsTeacher(s):
Nicolas Laurent
Nicolas Laurent
LINFO2172 DatabasesLINFO2255 Software engineering project -
Options
Students have to choose one or several options among:
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Majors for the Master's degree in computer science and engineering
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Major in Artificial Intelligence: big data, optimization and algorithms
Students completing the major in artificial intelligence: big data, optimization and algorithms will be able to: Identify and use methods and techniques that create software-based solutions to complex problems, Understand and put to good use the methods and techniques pertaining to artificial intelligence such as automated reasoning, heuristic research, knowledge acquisition, automated learning, problems related to constraint satisfaction, Identify a category of applications and how to use its methods and tools; understand specific categories of applications and their specific techniques-for example computer vision, scheduling, data mining, natural language processing, bioinformatics, big data processing; Formalise and structure a body of complex knowledge by using a systematic and rigorous approach to develop quality “intelligent” systems.
Students shall select 20 to 30 credits among
Content:Required courses in Artificial Intelligence: big data, optimization and algortihmsLINFO2263 Computational LinguisticsLINFO2266 Advanced Algorithms for OptimizationLINFO2365 Constraint programmingLINFO2364 Mining Patterns in DataElective courses in Artificial ItelligenceStudent shall select 10 credits among
LELEC2885 Image processing and computer visionEN
q1 30h+30h 5 creditsTeacher(s):
> Christophe De Vleeschouwer (coord.)
> Laurent Jacques
Christophe De Vleeschouwer (coord.)
LGBIO2010 BioinformaticsLINFO2145 Cloud ComputingFR
q1 30h+22.5h 5 creditsTeacher(s):
> Vincent Blondel
> Jean-Charles Delvenne
Vincent Blondel
LINMA1702 Optimization models and methods ILINMA2450 Combinatorial optimizationEN
q1 30h+22.5h 5 creditsTeacher(s):
> Julien Hendrickx
> Geovani Nunes Grapiglia
Julien Hendrickx
LINMA2472 Algorithms in data scienceEN
q1 30h+22.5h 5 creditsTeacher(s):
> Jean-Charles Delvenne (coord.)
> Gautier Krings (compensates Vincent Blondel)
Jean-Charles Delvenne (coord.)
LINFO2275 Data mining & decision making -
Major in software engineering and programming systems
Student completing the major in Software Engineering and Programming Systems will be able to: Understand and explain problems pertaining to large scale software projects as well as the critical impact of their solutions throughout the duration of the project (construction scope, validation, documentation, communication and large scale project management as well as expense limits and deadlines), Choose and apply engineering methods and tools related to complex software systems to meet strict quality control criteria: reliability, adaptability, upgradeability, performance, security, usability), Model products and processes necessary to obtain such systems and analyse the models in question, Design and create programmes to analyse, convert and optimise computer performance, Put to good use different programming language paradigms, in particular those that deal with competing functional and object oriented programmes, Understand the issues associated with different competing programming models and use the appropriate model, Define a new language (syntax and semantics) appropriate to a specific context.
Students shall select 20 to 30 credits among
Content:Required courses in software engineering and programming systemsLINFO2143 Concurrent systems : models and analysisLINFO2251 Software Quality AssuranceLINFO2252 Software Maintenance and EvolutionElective courses in Software Engineering and Programming SystemsStudents can select 10 credits among
LINFO2145 Cloud ComputingLINFO2347 Computer system securityLINFO2355 Multicore programmingLINFO2364 Mining Patterns in DataLINFO2365 Constraint programmingLINFO2335 Programming paradigmsLINFO2382 Computer supported collaborative work -
Major in Security and Networking
Students shall select 20 to 30 credits among
Content:Required courses in Networking and SecurityLINFO2145 Cloud ComputingLINFO2146 Mobile and Embedded ComputingLINFO2347 Computer system securityElective courses in Networking and SecurityStudent can select 10 credits among
LINFO2143 Concurrent systems : models and analysisLINFO2144 Secured systems engineeringLINFO2315 Design of Embedded and real-time systemsLINGI2348 Information theory and codingEN
q2 30h+15h 5 creditsTeacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
Jérôme Louveaux
LINMA2470 Stochastic modellingLMAT2450 CryptographyLINFO2355 Multicore programmingLELEC2770 Privacy Enhancing technologyEN
q1 30h+30h 5 creditsTeacher(s):
> Olivier Pereira (coord.)
> François-Xavier Standaert
Olivier Pereira (coord.)
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Major in Data science and Applied Mathematics
This major is available only to students who majored or minored in Applied Mathematics during their bachelor's degree programme. Students completing the major Computing and Applied Mathematics will be able to: Understand both applied mathematics and computing including algorithms, scientific calculations, computer system modelling, optimisation, automated learning or data mining, Understand and use the methods and techniques related to advanced algorithms such as optimisation methods, constraint programming, algorithms of graphs, numerical algorithms or analysis and design of algorithms, Identify and use models and techniques relating to statistics, automated learning and data mining; understand categories of applications used for the processing of raw data as well as automatic forms used to mine information out of large data sets.
The student shall select 20 to 30 credits among
Content:Required courses in Computing and Applied Mathematics (20 credits)LINMA2472 Algorithms in data scienceEN
q1 30h+22.5h 5 creditsTeacher(s):
> Jean-Charles Delvenne (coord.)
> Gautier Krings (compensates Vincent Blondel)
Jean-Charles Delvenne (coord.)
LINMA2710 Scientific computingEN
q2 30h+22.5h 5 creditsTeacher(s):
> Pierre-Antoine Absil
> Karl Meerbergen (compensates Anthony Papavasiliou)
Pierre-Antoine Absil
LINFO2275 Data mining & decision makingLINFO2364 Mining Patterns in DataElective courses in computing and applied mathematicsStudent shall select max. 10 credits among
LINFO2266 Advanced Algorithms for OptimizationLINGI2348 Information theory and codingEN
q2 30h+15h 5 creditsTeacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
Jérôme Louveaux
LINFO2365 Constraint programmingLINMA2450 Combinatorial optimizationEN
q1 30h+22.5h 5 creditsTeacher(s):
> Julien Hendrickx
> Geovani Nunes Grapiglia
Julien Hendrickx
LINMA2470 Stochastic modellingLINMA2471 Optimization models and methods IIEN
q1 30h+22.5h 5 creditsTeacher(s):
> François Glineur
> Geovani Nunes Grapiglia
François Glineur
LMAT2450 CryptographyLMECA2170 Numerical GeometryEN
q1 30h+30h 5 creditsTeacher(s):
> Vincent Legat
> Jean-François Remacle
Vincent Legat
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Option en Cryptography and information security
This major is available only to students who majored or minored in Electricity during their Bachelor’s degree programme. Students completing the major Communication Networks will be able to: Understand and use different devices and protocols used in fixed and wireless networks, Design, configure and manage fixed and wireless networks while taking into account application needs (including multimedia), Understand and effectively use information coding techniques, Understand and design mobile wireless communication systems from start to finish.
Content:Elective coursesIn order to validate this option INFO and MAP students have to take 20 credits at least and ELEC and DATA students 15 credits at least among:
LELEC2760 Secure electronic circuits and systemsLINFO2144 Secured systems engineeringLINFO2347 Computer system securityLINGI2348 Information theory and codingEN
q2 30h+15h 5 creditsTeacher(s):
> Jérôme Louveaux
> Benoît Macq
> Olivier Pereira
Jérôme Louveaux
LMAT2440 Number theoryFR
q1 30h+15h 5 creditsTeacher(s):
> Olivier Pereira
> Jean-Pierre Tignol
Olivier Pereira
LMAT2450 CryptographyLELEC2770 Privacy Enhancing technologyEN
q1 30h+30h 5 creditsTeacher(s):
> Olivier Pereira (coord.)
> François-Xavier Standaert
Olivier Pereira (coord.)
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Major in biomedical engineering
This major is available only to students who minored in biomedical engineering during their Bachelor’s degree programme. The objective of the biomedical engineering major is to train engineers who are capable of meeting future technological challenges in the scientific and technical fields related to biomedical engineering. This major provides students with basic knowledge about bioinformatics as well as oteco biomedical engineering fields such as bioinstrumentation, biomaterials, medical imaging, mathematical modelling, artificial organs and rehabilitation and biomechanics. The collaboration between the Louvain School of Management and the School of Medicine provides an interdisciplinary curriculum where engineering is applied to the complex and varied biomedical field.
Students shall select 20 to 30 credits among:
Content:Required courses in biomedical engineeringLGBIO2010 BioinformaticsLGBIO2020 BioinstrumentationEN
q1 30h+30h 5 creditsTeacher(s):
> André Mouraux
> Michel Verleysen
André Mouraux
LGBIO2030 BiomaterialsEN
q1 30h+30h 5 creditsTeacher(s):
> Sophie Demoustier
> Christine Dupont
Sophie Demoustier
LGBIO2040 BiomechanicsLGBIO2050 Medical ImagingEN
q1 30h+30h 5 creditsTeacher(s):
> Greet Kerckhofs
> John Lee
> Benoît Macq
> Frank Peeters
Greet Kerckhofs
LGBIO2060 Modelling of biological systemsLGBIO2072 Mathematical models in neuroscience -
Cours au choix disciplinaires
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Options et cours au choix en connaissances socio-économiques
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Business risks and opportunitiesContent:LEPL2211 Business issues introductionLEPL2212 Financial performance indicatorsLEPL2214 Law, Regulation and Legal Context
FR
q1 30h+5h 4 creditsTeacher(s):
> Vincent Cassiers
> Werner Derycke (coord.)
> Bénédicte Inghels
Vincent Cassiers
One course between
From 3 to 5credit(s)LEPL2210 Ethics and ICTCours de fondements en marketingLes cours MLSMM2136 Tendances en Digital Marketing Ou MLSMM2134 E-comportement du consommateur sont optionnels suite à la réussite du cours MGEST1220 lors du premier bloc annuel.
MGEST1220 MarketingMLSMM2136 Trends in Digital MarketingMLSMM2134 e-Consumer BehaviorAlternative to the major in business risks and opportunities for computer science studentsComputer science students who have already taken courses in this field while pursuing their Bachelor's degree may choose between 16-20 credits from the courses offered in the management minor for computer sciences.
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Major in small and medium sized business creationContent:Required courses for the major in small and medium sized businessesLCPME2001 Théorie de l'entrepreneuriatLCPME2003 Plan d'affaires et étapes-clefs de la création d'entrepriseLes séances du cours LCPME2003 sont réparties sur les deux blocs annuels du master. L'étudiant doit les suivre dès le bloc annuel 1, mais ne pourra inscrire le cours que dans son programme de bloc annuel 2.
Prerequisite CPME coursesStudent who have not taken management courses during their previous studies must enroll in LCPME2000.
LCPME2000 Financer et gérer son projet IFR
q1 30h+15h 5 creditsTeacher(s):
> Yves De Rongé
> Olivier Giacomin
Yves De Rongé
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Cours au choix en connaissances socio-économiques [3.0]Content:LEPL2211 Business issues introductionLFSA2995 Company Internship
FR
q1+q2 30h 10 creditsTeacher(s):
> Dimitri Lederer
> Jean-Pierre Raskin
Dimitri Lederer
LFSA2212 Innovation classesEN
q1 30h+15h 5 creditsTeacher(s):
> Benoît Macq
> Jean-Pierre Raskin
> Benoît Raucent
Benoît Macq
LINFO2399 Industrial seminar in computer scienceLINFO2402 Open Source ProjectEN
q1+q2 0h 5 credits
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Otecos elective courses
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Otecos elective coursesContent:Les étudiant·es peuvent également inscrire à leur programme tout cours faisant partie des programmes d'autres masters de l'EPL moyennant l'approbation du jury restreint.
LanguagesStudents may select from any language course offered at the ILV. Special attention is placed on the following seminars in professional development:
LALLE2500 Professional development seminar GermanLALLE2501 Professional development seminar-GermanNL
q1 or q2 30h 3 creditsTeacher(s):
> Isabelle Demeulenaere (coord.)
> Marie-Laurence Lambrecht
Isabelle Demeulenaere (coord.)
NL
q1 or q2 30h 3 creditsTeacher(s):
> Isabelle Demeulenaere (coord.)
> Dag Houdmont
Isabelle Demeulenaere (coord.)
Group dynamicsLEPL2351 Group dynamics - Q1FR
q1 15h+30h 3 creditsTeacher(s):
> Claude Oestges (coord.)
> Benoît Raucent
> Vincent Wertz (compensates Thomas Pardoen)
Claude Oestges (coord.)
LEPL2352 Group dynamics - Q2FR
q2 15h+30h 3 creditsTeacher(s):
> Claude Oestges (coord.)
> Benoît Raucent
> Vincent Wertz (compensates Thomas Pardoen)
Claude Oestges (coord.)
Autres UEs hors-EPLL'étudiant·e peut choisir maximum 8 ects de cours hors EPL considérées comme non-disciplinaires par la commission de diplôme
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