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micro-module

Multi-Agent Systems for Smart Machining I

Multi-Agent Systems for Smart Machining I

Prediction and Monitoring
Open for application
DescriptionOutcomesPotential progressInformationProviders

Description

Are you curious about how cutting-edge technology is transforming manufacturing? This micromodule will introduce you to smart machining and the power of the Industrial Internet of Things (IIoT) and multi-agent systems. You will learn how to predict, monitor and analyse machining data in order to reduce energy use, boost productivity and improve process resilience — all of which are key challenges in today's industrial world. Through real-world examples and practical exercises, you will learn how CNC machines generate valuable data. and how add-on sensors can enhance that data to feed integrated intelligent systems. In this micromodule, you will explore how machining systems work, which types of process data matter and how to gather and connect that data. You will watch short videos, read targeted materials and complete engaging assignments to build a strong foundation in smart machining technologies. This micromodule is part of a five-part learning pathway hosted by two ECIU universities. This micromodule is the first element and will be followed by a challenge, both hosted by INSA Toulouse. Subsequent modules will be developed and delivered by the University of Trento. By the end of this learning pathway, you will understand how to perform data fusion in a multi-agent system database, analyse its statistics, and integrate AI tools into machining data. You will learn how to generate key performance indicators and use detection and classification techniques to support more efficient and resilient manufacturing systems.

The Team

AA
Anna Carla Araujo
Teacher
0 learners
Study format
Online
Application period
7 July – 27 September 2025
Study period
6 October – 31 October 2025
Credits
1 ECTS
Hosting university
INSA Group
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Learning outcomes

Predict dynamic forces and power in milling process

By the end of this micromodule, you'll be able to understand and explain dynamic forces and power in the milling process.

ESCO SKILLS

Milling machinesWorking with computersManufacturing and processing

Understand CNC process data collection

By the end of this micromodule, you will be able to understand and explain key elements of CNC process data collection.

ESCO SKILLS

Perform green machiningProgram a CNC controller

Analyse collected data to evaluate energy consumption

By the end of this micromodule, you will be able to analyse data to evaluate energy consumption effectively

ESCO SKILLS

Gather dataData analyticsProcessing information, ideas and concepts

Potential progress

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Information

This micromodule is designed to give you both cutting-edge insights and practical skills in the fast-evolving field of advanced manufacturing. You’ll explore the intelligent systems and data-driven techniques that power smart machining, preparing you to engage with the future of industrial innovation.

This micromodule is part of a learning pathway co-offered by INSA Toulouse and the University of Trento.

  • Part I, delivered by INSA Toulouse, runs from October to December 2025.
  • Part II, delivered by the University of Trento, follows from January to May 2026.

This micromodule is the first element of **Part I,**and will be followed by a challenge before students move onto Part II, hosted by the University of Trento.

In this micromodule, the content is organised into three sections of approximately 10 hours each. Each section includes asynchronous online lectures, interactive assignments, and opportunities for guidance during designated class hours. Assessment is based on your performance in quizzes, assignments, and mini assignments.

By the end of this first part, you’ll have a strong understanding of how data can be applied to improve productivity and efficiency in real-world manufacturing contexts. The skills and knowledge gained in Part I are essential for progressing to Part II.

Hosting university

INSA Group

INSA Group