SIGMA program

The program is taught over two years of two semesters each providing a total of 120ECTS (European Credit Transfer and Accumulation System). However, students with an equivalent of 240ECTS can be admitted directly in the second year of the master degree. The master is single track with flexibility allowing students to choose courses more adapted to their project.

The taught modules are mainly lecture based; some of them have lab work session associated. The students are required to perform two internships: a short one (2-3 months) for the first year (M1) and long one (5-6 months) at the end of the second year M2. A winter school is organized at the end of S3 presenting hot topics in signal and image processing.

PROGRAM STRUCTURE
Year Semester
M2 S4 Long internship
S3 Courses Winter school
M1 S2 Courses Short intership
S1 Courses Apprenticeship

The second year is composed of two semesters: S3 and S4. Courses are organized in the first semester while the second semester is dedicated for the long internship (dissertation internship). The courses are divided into four main modules: Fundamentals of random signal processing, Advanced tools and methods, Advanced imaging systems and applications and an introduction to research seminars. Each module is divided into several courses. Some of these courses are elective and can be replaced by an adequate one from the Grenoble-Alpes academic offer. The program also offers a language course (English or French as a foreign language) according to the student background.


Students are required to perform a dissertation internship (4-6 months) at the end of the second year. It can be performed at a laboratory or at a R&D division of a company under the guidance of an expert supervisor. However, the topic should be approved by the program director. The work of the intern is evaluated based on three criteria: the achievements during the internship, the master-thesis and the oral presentation of the work.

Introduction to research seminars: 6ECTS @ S3

This is a unique module designed to teach students basic scientific research techniques. 6 to 10 short courses (2 to 4 hours) will be presented during a 1 week locally organized winter school, on research themes that will be defined each year and in relation with the curriculum contents. This will be organized with requested support from the local Labex (Persyval, Osug@2020), scientific organizations such as IXXI or SIERRA. The school will be intended to address a broad young researcher audience.
During the whole semester, students will complete a bibliographic project, and develop some simulations to illustrate the main or most salient aspects of their problem. The report must be written as a 4 to 8 pages double-column paper. A presentation of both the results and their simulations will be given by each student during a colloquium or special session of the pre-doc school, where the attendees will be the other M2 students, academic staff members involved in the curriculum, and the pre-doctoral school speakers. A focus should be put on both the state of the art and on the reproducibility of the research. An important aspect of this proposal lies in the links that will be made between the topics of the short courses of the winter school and the project pursued by the student.


This module covers the fundamental tools of advanced signal and image processing. It is composed of 4 courses.

This module presents recent advanced mathematical models for deterministic and stochastic signal processing. It is composed of 3 courses. Students can replace one of the offered courses by an appropriate one from the UGA offer.

This module offers a review of advanced imaging challenges . It is composed of 3 courses. Students can replace one of the offered courses by an appropriate one from the UGA offer.

The first year is divided into two semesters: S1 and S2. Courses are organized all along the two semesters. They are divided into four modules in each semester. They are mainly lectures accompanied with lab works and one module is project based. Some of these courses are elective and can be replaced by an appropriate one from the Grenoble-Alpes University academic offer. The program also offers a language course (English or French as a foreign language) according to the student background. At the end of the second semester, students need to perform a short internship (2 to 3 months long) in a company or a research laboratory.


Students are required to perform a short internship (2-3 months) at the end of the first year. It can be performed at a laboratory or at a company under the guidance of an expert supervisor. However, the topic should be approved by the program director. The work of the intern is evaluated based on three criteria: the achievements during the internship, the master-thesis and the oral presentation of the work.

This course is elective and subject to a maximum number of traniee. It can be replaced by another course from the UGA offer.



Regourps illustration Lab works for the different signal processing courses.

Topics:
  • Signal acquistion
  • Denoising
  • Adaptive filtering
  • Basic Spectral Analysis
  • Speed Measurement


This module offers students the opportunity to perform a project in a partner laboratory under the supervision of a researcher or a professor. It helps the students to put into practice several theoretical modules taught in the first and second semester.

This course is elective and subject to a maximum number of traniee. It can be replaced by another course from the UGA offer.



This module provides a general introduction to signal processing tools.


This module introduces notions of scientific computing and puts them to practice though an infromatic project.


Several courses of SIGMA are elective and can be replaced by appropriate one from Grenoble-Alpes University (UGA). However, the compatibility of the time table is only guaranteed for courses offered in SICOM specialty from Grenoble institute of technology (INPG).

SIGMA programs offer French as a foreign language (FLE) or English language courses according to their needs. They are organised as separate modules of 3 ECTS (24h) each in the semester 1, 2 and 3.