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--- public:res-ens:psmsc-2021 [2020/11/17 10:29] – created queinnec
+++ public:res-ens:psmsc-2021 [2023/07/20 10:00] (current) – external edit 127.0.0.1
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 This international master track titled 'Performance in Software, Media and Scientific Computing' or //PSMSC// is a one-year programme taught by the University of Toulouse. It prepares master students for top level careers or PhD programs in several application domains that require use of hardware, software and programming techniques to accelerate data-intensive computations and ensure reliable execution of cutting-edge applications. The //PSMSC// track combines a set of common core lectures with concentration  courses aligned with career preparation needs for each student. Specifics about performance in software development (SD), media processing (MP) and scientific computing (SC) are taught through three concentration areas.
-Students must follow the 4 core technical courses //and// scientific english lectures, select one concentration area (SD or MP or SC), take the three specific courses from this selected area and reach overall the number of required credits (30 ECTS by semester). 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==
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-\\
+== Application calendar (2022) ==
-== Application calendar (2020) ==
-Our track welcomes applications starting from Feb. 2020. Applications will be evaluated by the end of June 2020 (first session) and August 2020 (second session). Core courses will start Sept 28th, 2020 in downtown Toulouse (ENSEEIHT Campus), France.
+Our track welcomes applications starting from Feb. 2022. Applications will be evaluated by the end of June 2022 (first session) and August 2022 (second session). Core courses will start Sept 28th, 2022 in downtown Toulouse (ENSEEIHT Campus), France.
 == Contact ==
-Pr. Philippe Queinnec\\
+Ronan Guivarc'h\\
-Email: philippe.queinnec@enseeiht.fr
+Email: Ronan.Guivarch@toulouse-inp.fr
-==== Core courses (in brief) ====
+==== Courses (in brief) ====
-== Fall semester ==
+=== Fall semester ===
-  * Theory of distributed systems (4ECTS, Philippe Queinnec, Code:TDS).
+== SD Area - Software Development ==
-  * Cloud computing and big data (4ECTS, Daniel Hagimont, Code:CCB).
-  * High performance parallel programming (4ECTS, Patrick Amestoy, Code:HPP).
-  * Datamining: theory and practice (4ECTS, Sandrine Mouysset, Code:DTP).
-  * Scientific english (2ECTS, Anne Brittain, Code:ENG).
-== Spring semester ==
+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
+  * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)
+  * Formal methods for complex systems (6 ECTS, Yamine Ait-Ameur, Pierre Roux)
+  * Interactive & Structured Data (6 ECTS, Nathalie Aussenac, Mohand Boughanem, David Navarre)
+  * Real-time systems (6 ECTS, Jérôme Ermont)
+  * Data analysis (3 ECTS, Sandrine Mouysset, Philippe Knight)
+  * Scientific english (3ECTS, Alexandra Hull).
-  * Research methodology (10 ECTS, Philippe Queinnec, Code:RSM).
+== MP Area - Media Processing ==
-  * Long Internship (20 ECTS - 4-6 months, Philippe Queinnec, Code:INT)
+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
+  * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)
+  * Inverse problems (6 ECTS, Jean-Denis Durou, Serge Gratton)
+  * Multimedia systems (6 ECTS, Axel Carlier, Géraldine Morin)
+  * Visual processing (6 ECTS, Sylvie Chambon, Simone Gasparini)
+  * Digital audio (3 ECTS, Jérôme Farinas)
+  * Scientific english (3ECTS, Alexandra Hull).
-\\
+== SC Area - Scientific Computing  ==
-==== Concentration courses - SD Area - Software Development (in brief)====
-== Fall semester ==
-   * Information systems (4ECTS, Yamine Ait Ameur, Code:INS)
-   * Logic, proofs and tests (4ECTS, Pierre Roux, Code:LPT).
-   * Rigorous modeling of complex systems  (4ECTS, Neeraj Singh, Code: MCS)
-\\
-==== Concentration courses - MP Area - Media Processing (in brief) ====
-== Fall semester ==
-  * Multimedia content analysis (4ECTS, Sylvie Chambon, Code:MCA).
-  * High performance media delivery (4ECTS, Geraldine Morin, Code:HMD).
-  * High performance in visual processing (4ECTS, Simone Gasparini, Code:HMP).
-\\
-==== Concentration courses - SC Area - Scientific Computing (in brief) ====
-== Fall semester ==
-  * Numerical methods for large linear systems (4ECTS, Alfredo Buttari, Code:NML)
-  * Data assimilation and optimization (4ECTS, Serge Gratton, Code: DA)
-  * Bayesian analysis (4ECTS, Pascal Laveau/Joseph Gergaud, Code:BYA)
+  * Distributed and parallel computing (6 ECTS, Philippe Queinnec, Ronan Guivarc'h)
+  * Cloud & security (6 ECTS, Daniel Hagimont, Pierre-Yves Bonnetain)
+  * Machine learning (6 ECTS, Axel Carlier, Pascal Laveau)
+  * Inverse problems (6 ECTS, Jean-Denis Durou, Serge Gratton)
+  * High performance scientific computing (6 ECTS, Alfredo Buttari, Ronan Guivarc'h)
+  * Data analysis (3 ECTS, Sandrine Mouysset, Philippe Knight)
+  * Scientific english (3ECTS, Alexandra Hull).
+=== Spring semester ===
+  * Research methodology (6 ECTS, Ronan Guivarc'h).
+  * Long Internship (18 ECTS - 4-6 months, Ronan Guivarc'h)
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 ===== Details about teaching units =====
+(later)
-{{:public:res-ens:psmsc-syllabus-2016-final.pdf|This PDF file contains a detailed presentation of each course (for both core and concentration teaching units)}}