Projet multidisciplinaire II et gestion de projet

The content varies each year depending on the nature of the project.

Working Effectively in a Team

• Actively contribute to group work.
• Communicate effectively within a team.
• Share information clearly and accessibly.
• Analyse group functioning and manage conflicts constructively.
• Fulfil commitments and ensure project follow-up.

Managing an Engineering Project

• Collaboratively develop a project plan and use it throughout the project to manage deadlines and team activities.
• Jointly manage project progress by assigning tasks and monitoring their execution.
• Solve issues affecting the project and proactively anticipate and mitigate risks when necessary.
• Synthesize key project learnings into actionable insights that can be applied to future projects.
• Present key aspects of the project, with particular emphasis on risks, challenges encountered, and lessons learned.
• Demonstrate a basic understanding of project management, including for team members (knowledge transfer from project managers).

Developing Scientific Expertise

• Analyse a scientific problem by identifying relevant concepts, issues, and knowledge.
• Select and justify a methodology appropriate to solving a problem or conducting a project.
• Carry out a project independently and rigorously to produce a high-quality, usable deliverable.
• Critically interpret results, taking into account their limitations and validity.
• Formulate scientifically grounded conclusions and transfer knowledge to new contexts.

Communicating in Writing with Scientific Rigor

• Write a clear and well-structured scientific document.
• Summarise the essential elements of scientific work.
• Present a relevant scientific problem.
• Describe a scientific method.
• Explain a scientific model.
• Develop evidence-based arguments.
• Present and analyse results.
• Write an appropriate conclusion.
• Correctly cite and reference sources.

Oral Communication

• Design effective visual communication materials.
• Structure a scientific presentation.
• Present a scientific methodology.
• Present and interpret scientific results.
• Interact effectively with an examination panel by responding to questions in a relevant and well-argued manner.

Required and corequired courses

Cours ayant celui-ci comme co-requis

Project-based learning.

Teamwork in groups of 4 to 8 students.

References, bibliography, and recommended reading

See the annual project guide and the specifications of the filière

Additional information

Some seminars and activities will take place on the Plaine campus and at the FabLab.

Contacts

• Patrick Simon (Co-coordinator, Project Management): patrick.simon@ulb.be
• Jérémie Roland (Co-coordinator, Chair of the Examination Board): jeremie.roland@ulb.be
• Aline Van Steensel (BAPP): aline.van.steensel@ulb.be

Campus

Solbosch, Plaine

Method(s) of evaluation

• Project
• Group work
• Oral presentation
• Written report

Project

Group work

Oral presentation

Written report

The following five assessment components are each graded out of 20:

1. Scientific expertise, including the evaluation of the prototype
2. Written report
3. Oral presentation
4. Team functioning
5. Project management

Unless a request for grade differentiation is submitted in accordance with the procedure described in the project guide, these grades are awarded collectively to the team.

The use of generative AI tools is permitted in coursework, provided that it complies with Article 40 of the General Study Regulations (RGE). Their use must remain supplementary: AI may assist with reformulating, correcting, or structuring ideas, but must never replace personal reflection and intellectual contribution.

Students must be transparent about their use of AI tools and be able to clearly explain how and to what extent these tools were used. Students remain responsible for all submitted content, including compliance with copyright rules, source verification, and data protection requirements. Improper or undisclosed use may be considered academic misconduct and may result in disciplinary sanctions.

Accordingly, all deliverables must include a dedicated section (which may be placed in an appendix) describing the use of AI, specifying:

• The tools used;
• The context or task for which the tools were employed;
• How the generated outputs were incorporated into the work.

Mark calculation method (including weighting of intermediary marks)

The final grade for the course unit is calculated as the arithmetic mean of the grades obtained for the five assessment components, each carrying equal weight (20%).

A student passes the course unit if they obtain a final grade of at least 10/20.

Only one examination session is organized per academic year. If the final grade is below 10/20, grades obtained for individual assessment components cannot be carried forward to a subsequent session.

Language(s) of evaluation

• french