Le principal objectif est de mettre les étudiants en situation de travailler en équipe sur un projet de longue durée. La plupart des étudiants sont issus de filière sélective où ils ont appris à travailler efficacement mais seul.  A travers cette formation, ils apprendront à coopérer pour un objectif commun.

Les projets sont du type challenge étudiants d’une durée minimale d’un semestre mais généralement pluriannuel.

Les équipes sont constituées de 10 à 12 étudiants de profils culturels et disciplinaires variés. Chaque étudiant choisit un ou plusieurs rôles en responsabilité comme chef de projet, conseiller prévention, développeur logiciel, etc…  Un encadrant suit la progression de l’avancement et accompagne l’équipe pour certaines démarches mais son rôle reste externe et il n’impose pas ses avis. L’équipe dispose aussi de crédits pour solliciter les experts de l’établissement pour des questions concernant des thématiques qui n’auraient pas été abordées dans les modules d’enseignement.

Some noise sources can propagate over large distances, and interact in a complex manner with the propagation medium and with the frontiers of the domain. The objectives of this course are to :

• describe the physical phenomena involved in acoustic propagation: ground reflection and topography interaction, refraction effects, diffraction by obstacles, scattering by turbulent fluctuations and other inhomogeneities, etc.;
• propose models to account for these phenomena;
• apply relevant numerical methods to solve an acoustic propagation problem in a specific situation.

This course mostly focuses on the acoustic propagation in the atmospheric boundary layer, but other propagation media such as the ocean or the human body are also mentioned. Numerous application examples are presented, both for audible, infrasonic and ultrasonic sound sources.

The objective of this course is to introduce students to scientific computing and numerical methods, which are increasingly used to simulate acoustic phenomena. Indeed, many software tools are now available on standard computing machines (desktop, laptop, tablet or smartphone) and provide results in various areas of acoustics (vibration, urban planning, music, etc.). .). Given the profusion of these tools and their use, this course has a dual purpose: to train students in digital implementation, but also learn the limits of a "numerical experimentation".

Signal processing tools are important in many areas of acoustics where experimental or numerical data analysis is required.

This course will give the opportunity for students to learn how to solve simple audio signal processing problems by means of signal models and dictionaries, sparse principles etc.

The objective of this course is to give the students the opportunity to perform an experimental project in acoustics and thus, getting acquianted with the main issues and techniques used in acoustical experiments.