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The Master 2 in Computer Science is composed of classes and winter schools from September 10, 2018 to January 25, 2019, followed by an internship from January 28 to June 15, 2019. See details below.
Updated schedule and latest info available on the read-only password-protected pad (handed out during the pre-course meeting):
List of Courses (for full description follow the link CRxx):
- CR01: Optimal Decision Making and Online Optimization, Panayotis Mertikopoulos and Bruno Gaujal (Grenoble).
- CR02: Computational Geometry, Monique Teillaud and Olivier Devillers (Nancy).
- CR03: Hard lattice problems, Damien Stehlé. (Lyon)
- CR04: Scheduling at scale, Yves Robert. (Lyon)
- CR05: Advanced Topics in Scalable Data Management, Eddy Caron and Marcos Dias de Assuncao. (Lyon)
- CR06: Software Engineering & Compilation, Sebastien Mosser and Laure Gonnord (Lyon, Nice).
- CR07: Complex Networks, Marton Karsai. (Lyon)
- CR08: Lower bound methods, Pascal Koiran, Omar Fawzi, and Stéphan Thomassé (Lyon)
- CR09: Approximation Theory and Proof Assistants: Certified Computations, Nicolas Brisebarre and Damien Pous (Lyon)
- CR10: Cryptanalysis, Elena Kirshanova, Damien Stehlé, and Guillaume Hanrot (Lyon)
- CR11: Hardware Compilation and Simulation, Christophe Alias and Matthieu Moy (Lyon)
- CR12: Combinatorial scientific optimization, Bora Ucar, Fanny Dufossé (Lyon, Grenoble)
- CR13: Topological combinatorics, Frédéric Meunier and Matěj Stehlík (Paris, Grenoble)
- CR14: Advanced topics in semantics of programming language, Pierre Clairambault and Colin Riba (Lyon)
- CR15: Logic, Automata and Games for Advanced Verification, Matteo Mio and Denis Kuperberg (Lyon)
- CR16: Automated Deduction, and opening to Distributed Algorithms, Xavier Urbain and Sébastien Tixeuil (Lyon, Paris)
- CR17: Machine learning, Aurélien Garivier (Lyon)
Winter Schools: There are two winter schools taking place during weeks 48 (starting on Monday, Nov. 26) and 49 (starting on Monday, Dec. 3) . During these weeks, the courses stop and are replaced by the schools, which last the whole week. Topics will be announced later on.
Pre-course Meeting: A pre-course meeting will take place on Monday, September 10, 2018 at 9.30am, Amphi B. Attendance to this meeting is mandatory for all students. The general organization of the year and a description of the courses will be provided.
Training Period: A mandatory training period takes place from Monday, January 21 up to mid June. An information session about topics and locations for the training period will be organized in September. Basically, the goal is to research in a laboratory (anywhere on earth), write a report and make an oral presentation in the end.
Schedule: Courses start September 10 at 1:30pm. Autumn holidays are October 27-November 4. Winter holidays are December 22-January 6. Exams will be held on week 3 (starting Monday Jan. 14), for a subset of courses. Again, the detailed weekly schedule will be available on the Inria pad mentioned above. This page will be read-only and updated on a regular basis, check it often.
Rules of the Game: To obtain their degree, CS Master students must complete 60 credits including the internship (30 credits), two winter schools (3 credits each) and four courses (4 credits each) in the above list of CR1 to CR17. To summarize, there are 52 mandatory credits out of 60 and 8 credits that can be picked elsewhere. While a typical choice by many students is 6 CR courses, 2 schools and the internship, the extra courses for the 8 credits can be chosen elsewhere, e.g. CS courses in the M2 offered by Univ. Lyon 1, or courses from other ENS departments.
Complex Systems: There is an exception for the orientation ‘Complex Systems’. See details at
for course offering. For the validation, the two winter schools are not mandatory for complex systems students, only 4 CR courses and the training period are mandatory, so after mandatory stuff there remains 14 credits instead of 8 to validate, using a selection of courses from the orientation.
Note that ‘Complex Systems’ is an orientation, not a separate M2. The only diploma delivered by ENS Lyon is M2 Informatique Fondamentale, and computer science must remain at the heart of the curriculum. In particular, the training period must be oriented towards research in core computer science (possibly applied to other disciplines).
Formal Validation: To meet the quality requirements of our program, all course choices must be approved by the academic tutor and the head of the Master 2 program. Administrative registration to chosen courses is mandatory and takes place in late September, after a trial period.
Please refer to the rules of the Master here
Contact: Yves Robert
Désolé, cet article est seulement disponible en English.
Gestion et Fouille de Données
Ce cours est offert au second semestre du M1.
Descriptif du cours :
- Bases de données
– Modèle relationnel, calcul relationnel, SQL
– Algèbre, équivalence algèbre/calcul, indexation et optimisation
– Dépendances fonctionnelles, axiomatisation, relations d’Armstrong
– Dépendances d’inclusion, data exchange, chase, réécriture de requête
- Fouille de données
– Introduction à la fouille de données (motifs ensemblistes et algorithmes/explorations classiques)
– Fouille de motifs sous-contraintes: étude et exploitation des propriétés des contraintes
– Langage de motifs plus sophistiqués (concepts formels, séquences, graphes, graphes dynamiques, …)
– Ouverture vers les problématiques actuelles.
Course offered in the second semester of M1.
– Distributed System Modelization
– Communication Protocol
- Classic Algorithms
– Wave Algorithms
– Transversal Algorithms
– Leader Election
– Mutual Exclusion
- Fault Tolerance
– Fault Tolerance introduction
- Advanced Algorithms
– k-clustering in distributed systems
– Clock synchronization in distributed systems
- Practical Sessions
– Introduction to Erlang
Pour les prêts d’ordinateurs portables, contactez Oshurko Ievgeniia