Projet Scientifique en Equipe 2

Collaborative Scientific Project 2

Description: The project topic is part of the specialization in Physical Engineering. It is carried out over two semesters, S05 and S06, as a two-phase collaborative effort. It may be proposed by the teaching team, an industrial or academic partner, or chosen by the students themselves as a personalized subject. The Collaborative Scientific Project (PSC) builds on the skills developed in the Research Initiation course, also followed during semesters S05 and S06. It is structured as follows: During S05, students focus on a detailed literature review, aimed at establishing the scientific and technical background of the project, identifying current challenges in the field, and formulating a clear and well-founded research question. During S06, the project continues with the experimental, numerical, or theoretical implementation of the proposed solutions, the critical analysis of the obtained results, and the dissemination of the work in two formats: (i) a scientific oral presentation, intended for an academic audience; (ii) a public outreach deliverable in digital format (e.g., video, scientific animation, blog article), aimed at a general audience and designed to present the purpose and outcomes of the PSC in just a few minutes.

Learning outcomes: At the end of the project, students will be able to: AA1: Search, analyze, and synthesize scientific information from the state of the art – AA2: Define a research question and design an appropriate problem-solving approach. – AA3: Carry out a scientific investigation (experimental, numerical, or theoretical). – AA4: Critically interpret the results obtained. – AA5: Communicate the project outcomes effectively, both in writing and orally, to scientific and non-specialist audiences. – AA6: Collaborate effectively within a project team, demonstrating autonomy, organization, and a sense of responsibility.

Evaluation methods: Project report, deliverables (e.g., source code, experimental prototype, multimedia files), and oral presentation

Evaluated skills:

  • Physical Engineering Design
  • Physical Modeling
  • Data Processing
  • Management
  • Business Intelligence

Course supervisor:

  • Damien Rontani

Geode ID: SPM-PRJ-008