Engineering Curriculum

The three-year curriculum is taught in the following framework:

Between these modules, time is devoted to professional projects.

The curriculum is scheduled in eight-week sequences as follows:

Engineering Challenge Terms (eight weeks):

Specific training focuses on an engineering project and combines theoretical knowledge, methodological inputs and integration teaching (solving a concrete problem identified by an industrial partner) in a specific field. The curriculum includes four specific training courses in the first two years, and one during the final year. The first four specific training courses focus on a topic concerning the processing of a complex problem: modelling, information, regulation and functional modelling, and optimization.

For more information, click below on "specific training: definition" (at the end of the page).

Academic Terms

More traditional teaching includes a range of courses, often elective. These courses foster personal development, interdisciplinary and multicultural skills in a variety of fields and enable the students to gain or improve knowledge in certain study areas.

For more information, click below on "first and second year elective modules".

Sandwich weeks

Short intensive periods are devoted to professional projects (entrepreneurship week, corporate games and project weeks), or to specialization (third year).

Semester-long courses

Courses outside modules include a wide range of courses that:

- are unsuited to a rapid pace (allowing enhanced methods),

- must be completed by the whole class but which are not covered by specific

training courses or projects.

For more information, click below on "general teaching".

Projects

Projects of ranging durations play a crucial role in the curriculum. Their objectives are always in line with scientific, industrial and socio-economic customer requirements.

Three types of projects are proposed:

Type I: Projects related to taught subjects,
Type II: Short-term projects to understand the project process and achieve a simple implementation,
Type III: Long-term projects, aiming at a challenging achievement, an identified value.

Specific training: Definition

A specific training course focuses on a particular engineering project and includes the following components:

Specific training

An "HEE" equals one hour spent by a student during the curriculum: homework, exercises, individual or collective work, project, video viewing in a flipped classroom, etc. This gives student engineers the opportunity to:

iscover industrial fields and career opportunities from the first year and thus be guided in their personal project (this choice has to be made during the third year),
Simultaneously complete general training (choosing a thematic training course is not binding for the rest of the curriculum.),
Implement theoretical knowledge on a specific subject, understand that knowledge is workable and that different subject areas must be combined to solve engineering problems.

During each thematic training course, several topics are proposed (generally one topic per major output sector). Examples of topics offered in a thematic training course:

Specific teaching 2

Specific teaching 4

Medical robotics
Viral diffusion
Resilient reliable communications in crisis management
Dynamics in Life and Environmental Sciences
Energy transition
Design integrative process, vehicle development, facilities
Non-destructive testing and diagnostics
Strategic interaction modelling through gaming

Health: from data collection to decision-making
Data and statistics in finance
Data processing to enhance systems and infrastructure resilience Data@WEB : Web data intelligence 'Value creation related to Web data'
Energy and climate
Data processing for IoT services
Digital transformation and integrated engineering
Digital mock-up, and lifecycle of constructions and vehicles
Black swan detection

First-year elective modules

During the first year, students must choose four out of nine elective modules in “Science for engineers”:

Electromagnetic systems
Electrical energy
Industrial engineering
Continuum mechanics
Network security
Transfer sciences
Electronic systems

Second-year elective modules

During the second year, many elective modules are proposed, in various disciplines, on our three campuses.

AUTOMATION

Dynamic systems in neuroscience
Interactive systems and robotic systems
Multi-agent dynamic systems analysis, Optimization and coordination - Drones

ELECTROMAGNETISM

Human exposure to electromagnetism and electromagnetic compatibility
Electromagnetic modelling of complex systems and antennae

ENERGY & ENERGETICS

Renewable energies
Energy conversion
Thermal transfer
Fluid mechanics
Nuclear engineering
Reactive environments

MATHEMATICS

Software engineering, C++/Java
IT theory
High performance computing
Big data management
Web and mobile applications design
Artificial intelligence
Cloud computing and distributed computing
Advanced probability
Distributors and operators
Machine learning
Algebra and cryptology
Advanced statistics
Scientific calculation

MECHANICS & CIVIL ENGINEERING

Structural vibrations and acoustics
Living materials
Non-linearity in materials
Advanced mechanics in civil engineering
Coupled multi-physics simulations

PHYSICS

Fundamental laws of the Universe: Particle physics, Astroparticle physics and cosmology
Quantum and statistical physics (Part II)

PROCESSES

Understanding, optimizing and simulating biotechnological processes
Physics of finely-divided materials
Genomics and synthetic biology in human health and in industrial
Engineering processes dedicated to sustainable development

CORPORATE MANAGEMENT

Marketing strategy and organisation
Innovation and growth economy
Operations and supply chain management
International economics
Innovation management and entrepreneurship
Corporate finance, law/finance and corporate law
Systems engineering
Internet of Things: from concept to prototype
Complex project management
Design science

SIGNALS & STATISTICS

Signal processing
Digital image processing

ELECTRONIC SYSTEMS

Digital system architecture and design
From transistors to complex analogue signals
Embedded sensors for the Internet of Things and smart networks (with electro-magnetism)

TELECOMMUNICATIONS

Communication theory
Cellular networks and services
Statistical physics applications to information processing

HUMAN & SOCIAL SCIENCES

Employees, work and organizations
Societal issues
Science, technology, civil society
Innovation, arts and creativity

E-LEARNING ELECTIVE MODULES

Procurement management (Business Management Department)
Blockchain (IT Department)

METZ CAMPUS

Introduction to mobile application engineering
Introduction to service-based applications development
Elegant coding C++
Big Data: cluster and cloud data collection, storage and analysis
Estimating methods and introduction to current coding theory
Audio data analysis and processing (speech and music)
Digital image processing
Robust embedded electronic and IT systems
Complex electronic system design: from component to mixed system
From atoms to electronic components
Light and materials science
Smart photonics systems
Chaos, fractals and complexity

RENNES CAMPUS

Model-based design of embedded control systems
Calculator architecture
Operating systems
System programming in Linux and Windows
Modelica and bond graph: multi-field modelling, analysis and simulation
Serious games
Virtual reality and augmented reality
Digital methods
Artificial intelligence and deep learning
Compression-protection and information processing
New network paradigms
Embedded systems and the Internet of Things
Predictive-based models

Core courses

Throughout their curriculum, students will have mandatory courses:

First year:

Information systems and coding
Measures, integration, probabilities, partial differential equations
Statistics and learning
Statistical and quantum physics
Algorithm analysis
Signal processing
Corporate finance

Second year:

Automation and control engineering
Modelling systems
Mathematical optimization
Sociology of organizations

Focus on projects

First and second years include Type I projects such as "coding week" covering implementation of a software engineering project together with courses or integration projects for specific teaching courses.
Project Type II is completed during the first year (Semester 6). Students must work on a project to achieve a "trusted" outcome. The objective in a simple technical project is to learn about and practice project teamwork.
During the second year, students must enhance their project-based approach and implement it to achieve meaningful deliverables through Type III innovation projects. The objective is to work over time to acquire the skills needed to manage and deliver an attractive project.
During the third year, the professional project, Type III, is advanced in a more professional environment and is strongly supported by specializations. The goal is to achieve a project outcome that can be promoted in a professional or research environment.