A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making.
This course has three main objectives:

  1. Overview  research, innovation, and standardisation activities in the domain of Digital Twins
  2. Discover related applications and technological platforms of MINES Saint-Étienne
  3. Contribute to the Digital Twin of one of our technological platforms: Maq’IT

You will be evaluated on your analysis of case studies.

This teaching unit counts for 4 credits (/30 total for a semester).

This course is an introduction to Web (Java/Spring Boot) & Mobile (Android/Kotlin) & Embedded (IoT/Arduino/ESP32) Programming.

It occurs in common with EMSE's ICM students.

https://ecampus.emse.fr/course/index.php?categoryid=419

The course on Multi-Agent Coordination is focused on models of coordination in multi-agent systems. It addresses approaches for coordinating decentralized and open complex systems such as cyber-physical and social systems.

This course is an introduction to Machine Learning. It occurs in common with EMSE's ICM students.

See: https://ecampus.emse.fr/course/view.php?id=743

Introduction to Artficial Inteligence

 1) Problem Solving

 2) Knowledge Representation and Reasoning

This course is a very brief introduction on Cyber Security: we learn how to perform some attacks, in order to learn how to defend against them. It addresses: Physical Security, (Local) Software Cracking, Remote Exploitation, Password Cracking, SQL Injection and the use of ML in IDS (Intrusion Detection Systems).

The course on Multi-Agent Coordination is focused on models of coordination in multi-agent systems. It addresses approaches for coordinating decentralized and open complex systems such as cyber-physical and social systems.