====== Master Degree Track:  ======
======  Performance in Software, Media and Scientific Computing  ====== 


=====  University of Toulouse =====
====  INPT-ENSEEIHT Eng. School and Paul Sabatier Faculty of Science and Engineering====


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 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. 


== Application conditions==


Students must have successfully completed at least 4 years of higher education //before// entering into our //PSMSC// track. Applications are expected from students enrolled in (finishing) their first year of master (or alternatively from 2nd year engineer students). Graduation at MSc. level is expected after one year in the //PSMSC// programme.


== Application calendar (2022) ==


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 ==

Ronan Guivarc'h\\ 
Email: Ronan.Guivarch@toulouse-inp.fr

==== Courses (in brief) ====

=== Fall semester ===

== SD Area - Software Development ==

  * 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).

== MP Area - Media Processing ==

  * 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  ==

  * 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)



===== Details about teaching units =====

(later)