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public:res-ens:psmsc-2021 [2020/11/17 10:53] – initial version queinnecpublic:res-ens:psmsc-2021 [2023/07/20 10:00] (current) – external edit 127.0.0.1
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 Students must select one concentration area (SD or MP or SC), follow the 6 technical and scientific courses of this area and scientific english lectures, establish a research methodology report, and reach overall the number of required credits (39 ECTS for the courses, plus 3 ECTS for english and 18 ECTS for the internship). Students’ studies are based on an academic calendar beginning in mid-September and ending in July. The year (a 2nd year of MSc, see application conditions below) is divided into two semesters: Fall semester (from September to January) and Spring semester (from February to July). Courses may be taught in English during Fall semester. Spring semester consists both in a research methodology project and a long internship proposed by companies or research institutes.  Students must select one concentration area (SD or MP or SC), follow the 6 technical and scientific courses of this area and scientific english lectures, establish a research methodology report, and reach overall the number of required credits (39 ECTS for the courses, plus 3 ECTS for english and 18 ECTS for the internship). Students’ studies are based on an academic calendar beginning in mid-September and ending in July. The year (a 2nd year of MSc, see application conditions below) is divided into two semesters: Fall semester (from September to January) and Spring semester (from February to July). Courses may be taught in English during Fall semester. Spring semester consists both in a research methodology project and a long internship proposed by companies or research institutes. 
  
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 == Application conditions== == Application conditions==
  
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 == Application calendar (2022) == == Application calendar (2022) ==
  
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 == Contact == == Contact ==
  
-Pr. Philippe Queinnec\\  +Ronan Guivarc'h\\  
-Email: philippe.queinnec@enseeiht.fr+Email: Ronan.Guivarch@toulouse-inp.fr
  
 ==== Courses (in brief) ==== ==== Courses (in brief) ====
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 == SD Area - Software Development == == SD Area - Software Development ==
  
-  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Alfredo Buttari)+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
   * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)   * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)
   * Formal methods for complex systems (6 ECTS, Yamine Ait-Ameur, Pierre Roux)   * Formal methods for complex systems (6 ECTS, Yamine Ait-Ameur, Pierre Roux)
   * Interactive & Structured Data (6 ECTS, Nathalie Aussenac, Mohand Boughanem, David Navarre)   * Interactive & Structured Data (6 ECTS, Nathalie Aussenac, Mohand Boughanem, David Navarre)
-  * Real-time systems (6 ECTS, Katia Jaffrès-Runser+  * Real-time systems (6 ECTS, Jérôme Ermont
-  * Data analysis (3 ECTS, Sandrine Mouysset) +  * Data analysis (3 ECTS, Sandrine Mouysset, Philippe Knight
-  * Scientific english (3ECTS, Anne Brittain).+  * Scientific english (3ECTS, Alexandra Hull).
  
 == MP Area - Media Processing == == MP Area - Media Processing ==
  
-  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Alfredo Buttari)+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
   * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)   * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)
-  * Inverse problems (6 ECTS, Jean-Denis Durou) +  * Inverse problems (6 ECTS, Jean-Denis Durou, Serge Gratton
-  * Multimedia systems (6 ECTS, Vincent Charvillat+  * Multimedia systems (6 ECTS, Axel Carlier, Géraldine Morin
-  * Visual processing (6 ECTS, Sylvie Chambon)+  * Visual processing (6 ECTS, Sylvie Chambon, Simone Gasparini)
   * Digital audio (3 ECTS, Jérôme Farinas)   * Digital audio (3 ECTS, Jérôme Farinas)
-  * Scientific english (3ECTS, Anne Brittain).+  * Scientific english (3ECTS, Alexandra Hull).
  
 == SC Area - Scientific Computing  == == SC Area - Scientific Computing  ==
  
-  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Alfredo Buttari)+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
   * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)   * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)
   * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)   * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)
-  * Inverse problems (6 ECTS, Jean-Denis Durou) +  * Inverse problems (6 ECTS, Jean-Denis Durou, Serge Gratton
-  * High performance scientific computing (6 ECTS, Serge Gratton+  * High performance scientific computing (6 ECTS, Alfredo Buttari, Ronan Guivarc'h
-  * Data analysis (3 ECTS, Sandrine Mouysset) +  * Data analysis (3 ECTS, Sandrine Mouysset, Philippe Knight
-  * Scientific english (3ECTS, Anne Brittain).+  * Scientific english (3ECTS, Alexandra Hull).
  
 === Spring semester === === Spring semester ===
  
-  * Research methodology (6 ECTS, Philippe Queinnec). +  * Research methodology (6 ECTS, Ronan Guivarc'h). 
-  * Long Internship (18 ECTS - 4-6 months, Philippe Queinnec)+  * Long Internship (18 ECTS - 4-6 months, Ronan Guivarc'h)
  
  
public/res-ens/psmsc-2021.1605606793.txt.gz · Last modified: 2023/07/20 09:59 (external edit)