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;

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

• 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 and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

Lectures and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

Lectures and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

Lectures and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

Lectures and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

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 ...).

A vast array of decisions must be made to compete in Marketplace. These decisions are patterned after real-world decisions made by new venture firms. Each decision has been limited to its most important dimensions in order to keep the game manageable. Still, there is sufficient complexity and realism to challenge you to the maximum.
The real challenge in the game, and in real-life new ventures, is that you must continually make a large number of concurrent strategic and tactical decisions. There is no rest from the advertising decision or the market development decision while you solve the pricing decision.
You not only have to worry about the tradeoffs within each decision area, but you must also evaluate the tradeoffs between decision areas. Part of the value of the Marketplace experience is learning to manage a dynamic and complex world.
Marketplace will also give you practice in strategic and tactical decision making. After identifying your options, weighing the advantages and disadvantages of each, you must commit yourself to a course of action.
The outcome of that action will always be uncertain, but you will find that you can make educated guesses and learn from the results of these decisions in the next quarter. You can then make adjustments so that even questionable decisions can be managed (our hindsight is so much better than our foresight).
The content, context, and educational objective of each decision to be made in the simulation are reviewed in the chapters found under the Help file icon. This help file contains a conceptual discussion of the decisions that you must make. The material found here will help you become familiar with every step in the decision process.
The decisions are presented in approximately the order in which they would be executed in the real world, starting with executive team formation, through market analysis, brand design, advertising, human resources, distribution, manufacturing, and financing.
This step-by-step process will help you organize your decision making while playing the game.
It is recommended that you first review all the material found in each chapter in its entirety in order to get a feel for the "whole" of the decision context. Next, sit down at your computer and work your way through each decision to be made. It is important that you physically enter decisions and investigate the effects of alternate decisions. This form of "hands-on" experience will help familiarize you with the consequences of your decisions.
Finally, the Decisions to be Made by Quarter section will help you organize your work throughout the simulation exercise.

During the lectures, students will be introduced to basic theories and principles in ethics such as utilitarianism, relativism and deontology. The tutorials will be focused on ethical dilemmas from the areas of engineering in the EENG program's pathway specializations: Robotics & Automation; Sustainable Energy & Environmental Engineering; Mechanical Engineering; Industrial Engineering & Supply Chain Management.

This module has been designed to help students prepare for their departure to another country and help them acquire the professional skills they will need to begin searching for a job after graduation. Students will learn intercultural skills necessary for living abroad. They will also update their CVs and cover letters written during EENG1.

Lectures and tutorials are given as follow :
-Lecture 1 : Introduction and tools for bibliographic research
-Tutorial 1 : Application of the methodology to find relevant research papers
-Lecture 2 : Analysis of literature review and introductions to the project phase
-Tutorial 2 : Cross analysis of a set of research papers
-Tutorial 3 and 4 : Project kick-start

-Autonomy sessions : redaction of a literature review.

-Introduction to ethics and ethical dilemmas
-Practical exercises on simple case studies
-Ethics and Autonomous systems and/or Robotics
-Applied ethics in Robotics
-Practical analysis of a chosen case study in Robotics

-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 quality control, robot guidance and deep learning

-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.

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

The goal of this conference is to raise the students' awareness about the underlying mechanisms of finance that could foster the degradation of the environment or of social equity.