Group Project structured around various sessions of group work with access to the necessary computer resources.

• Presentation of different types of energy storage systems (heat, mechanical and electrochemical);
• Definition of energy and power densities;
• Description of the operating principle of rechargeable batteries and their fundamental electrochemistry (lithium-ion batteries, lead-acid batteries, etc.);
• Definition of the electrical characteristics present in the data sheet of each electrochemical storage system;
• Description of the operating principle of conventional supercapacitors using the double layer capacitance theory;
• Presentation of the chemical constitution of hybrid supercapacitors such as lithium-ion capacitors;
• Description of aging mechanisms that may arise in different types of batteries and supercapacitors;
• Comparison of different energy storage systems using the Ragone Diagram;
• Presentation of electrical modeling methods of electrochemical energy storage systems;
• Presentation of power converters used with energy storage systems;
• Description of the tools integrated in management systems that aim to control energy storage systems;
• Presentation of an example of a complete system integrating an energy storage system, the corresponding management system and the power converters.

• Fundamental concepts of energy engineering: primary energy, final energy, embodied energy, lost energy, etc.
• Performance criteria used to assess existing systems or processes: efficiency, effectiveness, energy returned on energy invested (EROI), etc.
• Definitions and limitations of today’s energy resources: peak oil, GHG emissions, etc.
• Carbon cycles and balances: why it is important and how to use them.
• The energy transition and its numerous challenges.

• The exergy and anergy concepts and their relation with energy.
• Applications of exergy and energy balances to closed or open systems, housing or not internal reactive processes : heat engines, refrigeration machines, heat exchangers, internal combustion engines, HVAC systems;
• Exergy efficiency and effectiveness of energy systems;
Exergy analysis on CSP backed up by TES

- Electrical AC grids.
- Electrical DC grids.
- Electrical safety measurements.
- Autonomous energy grid (smartgrid) sizing and control.

* Lectures
* Quiz sessions
* Final certification exam

• Strategies & Effective Meeting Falication using IoT, DMAIC, 5S, UX, HMI
• Analyse the product/process impacts and propose improvements
• Organisation and management of a production through a challenge in the "School Factory" platform
• Discovery and Robotization Project:
- To be able to manipulate robots virtually and physically
- Initiation to a method of implementation of robotic equipment
- To determine the cost effectiveness of robotization on workstation
- Difference robot/cobot (strategic, productivity, safety ...)
- Risk analysis
- Robotisation criteria

* Lectures, tutorials and lab work on the main concepts
* Implementation during the red thread team project (Connected Speaker)
* Simulation on the Theory of Contraints (TOC)
* Serious game DDBrix on DDMRP
* CSCA course material

- Introduction to welding:
- Definition
- Weldability of materials
- Methods of welding: Gaz welding, arc welding, MIG, TIG,...
- Indication of welding on technical drawing
- Rules in mechanical design
- Use of standard profiles:
- Cutting
- Laser cutting
- Roll bending
- Sheet metal work:
- Cutting: shearing, plasma, laser, water jet, punching
- Bending
- Roll bending
- Stamping
- Corrosion prevention
- Use of CREO Parametric
- CAD project

Integration of the digital chain in the preparation work. Cutting conditions for solid materials.
Optimization of the machining parameters (cutting conditions, CAM "Spirit", process studies, choice of tools ...).

1. Introduction
• Definition of Tribology and Tribological Systems
• Applications and Scales in Tribology
• Types of Motion
• Tribological Testing and Types of Tribometers
• Roughness
2. Lubrication and Lubricant Properties
• Classification of Lubrication and Lubricant Properties
• The Stribeck Curve and Lubrication Regimes
• Types of contacts and film thickness
• Hertzian Contact Theory
• Solid-Solid Contact-Asperity Deformation
3. Friction
• Friction Coefficient
• Types of Friction
• Laws of Dry Friction
• Basic Mechanisms of Sliding Friction
• Adhesion and Deformation
• Stick-Slip Phenomenon
4. Fluid Film Lubrication
• Classification of Fluid Film Lubrication
• Newtonian and Non-Newtonian Fluids
• 1-D Flow between Parallel Plates
• Hydrostatic and Hydrodynamic Thrust Bearings
5. Wear
• Parameters and Stages of Wear
• Wear Types and Mechanisms
• Wear Rate
• Causes of Wear and Prevention Methods

Why do we need Finite Element Analysis (FEA) in engineering analysis ?
Various FEA applications
Stiffness
Stiffness of a spring and a bar
Basic steps involved in FEA
Types of FEA and element types used in FEA
Derivation of stiffness matrix
Problem solving on spring and bar elements
Matlab basics and Problem solving on spring and bar elements
Beam elements
Isoparametric formulations and shape functions

The course Society, Management and Entrepreneurship Final Project 2 will consolidate the students’ knowledge of the social sciences, entrepreneurship and management theory. It builds on students’ learning in SME Final Project 1 by further developing their businesses and outlining strategies for expansion in international markets.

-Definition of a PLC
-Hardware components of a PLC
-Connection of I/O modules
-Program a filling machine using Ladder, Function block, Structured text, Grafcet
-Train on data types, variables

The scrum methodology is introduced to the students. Then, they apply this agile framework during the whole duration of the project.
Each group of students receives a project of robotic application. They state the problem before designing the robotic system that corresponds to the specifications. Then, they build their system and test it extensively.
Finally, each group presents their work and write a report describing the technical and managerial aspects of the project.

* Introduction to IA and Machine Learning
° Model Based Learning - main concepts and definitions
° Exact solution, iterative solutions, Gradient Descent
° First algorithms: Regressions
- Linear Regression
- Logistic Regression
° Data preprocessing
° Hyperparameter tuning

* Towards Deep Learning
° more on preprocessing (categories encoding) and data sets
° From biological neuron to perceptron
° Multilayer Perceptron
° Convolutional Neural Networks
° Transfer Learning

* Introduction to Natural Language Processing
° Some important ideas about NLP
° Example of statistical NLP (Multinomial Naive Bayes)
° NLP with Deep Learning (LSTM)

* Other algorithms

* Group project (text classification, image classification, recommendation, regression...)

-Introduction to camera features
-Introduction to the importance of lighting in image acquisition
-Introduction to various technologies in image acquisition
-Practical application on stereovision

-Definition of industrial networks: Ethercat, Profinet, OPC-UA, IO-Link…
-Practical on PLC/sensors/actuators communication using several industrial networks.
-Definition of safety regulations
-Procedure to perform risk analysis
-Definition of drive-based and controller-based motion planning followed by practicals

This course divided into four parts. In the first part will give an overview of industrial robots basic components and structures. Part 2 depicts principles and methods of programming robots. Part 3 describes industry robotisation and robots workstations. The final part touches the safety of industrial robots and cobots.
In this course, we will explore Arm construction and drives, Coordinates systems (BASE • TOOL • TCP • Part frame/User frame/Working frame), programming methods (Online • Offline), Robotized workstations/cells, risk assessments of robotic cells and standardizations/normalizations.

• Introduction to industrial robotics
• Basic components of industrial robot systems
• Structure of industrial robots
• Collaborative, non-collaborative, and mobile industrial robot applications
• Industrial robot’s motion
• Methods of programming robots
• Hazards associated with industrial robot applications
• Safety considerations for employers and workers
• Risk assessments
• Risk reduction measures
• Applicable industry standards for industrial robot system safety

-Introduction to IoT devices and their architectures (microcontroller, antenna…)
-Introduction to radio waves and principles of modulation (amplitude, frequency and phase)
-Definition of the various IoT networks (Short-range, LPWAN, Cellular)
-Practical case study to choose the best IoT solution given technical specifications
-Practical introduction to IoT programming with Sigfox modules for Arduino board

This course is an introduction to the circular economy concept. In this course, student will learn about the 7 pillars of the circular economy with many examples.

Session 1 – Introduction to Corporate Social Responsibility
Foundations and Historical Context
Fundamental Principles of CSR
CSR Frameworks and Reporting Standards
CSR Challenges and Opportunities

Session 2 – Building a CSR Strategy
General Approach for Companies
CSR Strategy Development Methodology
Case Studies and Practical Examples

- Innovation management for companies (different types)
- Intellectual property: patent deposit, management of patents
- General management of organizations for keeping the company's strategic advantages.