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

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

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.

-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

Choice of topic: Students select a project topic in agreement with their supervisor. The topic can be technical (such as developing an application, data analysis, etc.).

Implementation: Execution of the project according to the established plan, with possible adjustments based on needs and unforeseen circumstances.

Write-up: Compilation of results, analysis, and conclusions into a written document.

Preparation for the defense: Preparation of a structured and convincing oral presentation.

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.