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micro-module

Multi-Agent Systems for Smart Machining II

Multi-Agent Systems for Smart Machining II

Machine-Learning models for data analysis, classification and prediction of process conditions
Open for application
DescriptionInformationValue and progressProviders

Description

This is the second part of a course that starts with the module I offered by INSA Group. During the first Module, students learn how to design a monitoring system for machining process and how to collect data from distributed devices, with practical experiences; the data so obtained are stored in a database and become the subject matter of this second module, where the students learn to develop machine learning models (classical and AI-based) to classify the process condition and to make predictions on the process itself. Students participating to this course shall be able to build custom algorithms for analyzing and classifying manufacturing process data, by designing the algorithms, mangling and organizing the data in the database/data-lake, training and validating the models, and deploying the trained model to operations.

The Team

Teamchers

These are the teamchers you'll work with on the challenge.

PB
Profile photo
Paolo Bosetti
Teacher

Learners

0 learners
Study period
1 March – 30 April 2026
Study format
Online
Application period
1 January – 28 February 2026
Credits
3 ECTS
Hosting university
University of Trento
Self-paced
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Information

Value and progress

Analyze collected data to evaluate process quality and statistical process control

ESCO SKILLS

Evaluate process condition and perform risk analysis

ESCO SKILLS

Create a novel IIoT distributed computing system for improving operation of industrial equipment

ESCO SKILLS

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Hosting university

University of Trento

University of Trento