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 at least 4 core technical courses and scientific english lectures, select one concentration area (SD or MP or SC), take at least two 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). All courses are 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 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.

Our track welcomes applications starting from Feb. 2018. Applications will be evaluated by the end of June 2018 (first session) and August 2018 (second session). Core courses will start mid Sept. 2018 in downtown Toulouse (ENSEEIHT Campus), France.

Pr. Vincent Charvillat Email: vincent.charvillat@enseeiht.fr

• Theory of distributed systems (4ECTS, Philippe Queinnec, Code:TDS).
• Cloud computing and big data (4ECTS, Daniel Hagimont, Code:CCB).
• High performance parallel programming (4ECTS, Patrick Amestoy, Code:HPP).
• Information systems (4ECTS, Yamine Ait Ameur, Code:INS)
• Datamining: theory and practice (4ECTS, Sandrine Mouysset, Code:DTP).
• Scientific english (2ECTS, required, Anne Brittain, Code:ENG).

• Research methodology (10 ECTS, Philippe Queinnec, Code:RSM).
• Long Internship (20 ECTS - 4-6 months, Vincent Charvillat, Code:INT)

• Safety critical systems (4ECTS, Marc Pantel, Code:SCS).
• Logic, proofs and tests (4ECTS, Christophe Garion/Marc Pantel, Code:LPT).
• Rigorous modeling of complex systems (4ECTS, Neeraj Singh, Code: MCS)

• 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).

• 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)

This PDF file contains a detailed presentation of each course (for both core and concentration teaching units)