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Scheda Riassuntiva
Anno Accademico 2018/2019
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 052353 - PROJECT WORK
Cfu 5.00 Tipo insegnamento Monodisciplinare
Didattica innovativa L'insegnamento prevede  5.0  CFU erogati con Didattica Innovativa come segue:
  • Cotutela con mondo esterno
Docenti: Titolare (Co-titolari) Bascetta Luca, Fagiano Lorenzo Mario, Rocco Paolo, Corno Matteo, Savaresi Sergio Matteo

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento

Obiettivi dell'insegnamento

The goal of this course is to have students work on a project in direct connection with industry. The industrial partner of the project work will provide specifications of the project, usually related to some open innovation topics. Students will be divided in small groups and will work at a part of the whole project, constantly interacting with the industrial tutors, under the supervision of a professor. Students will then be exposed to a realistic and industrially relevant problem, that they are asked to work on with methodogical, algorithmic, software and hardware tools.


The goal of the course is fully aligned with the overall goals of the Automation and Control Engineering Program.

Risultati di apprendimento attesi

The expected learning outcomes of the course belong to the technological and design area of the expected learning outcomes of the Program.


Specifically, at the end of the course, the student is expected to be able to:

-work in group with fellow engineers;

-approach a possibly complicated problem and break it down into manageable sub-problems;

-apply technical skills learnt in previous courses to solve the problem at hand;

-present partial and final results to the public, and discuss alternative solutions.

Argomenti trattati

The project work is held in direct collaboration with a company, which proposes an innovation topic. The course is attended by a restricted number of students who are organized in small groups. The students interact with the company staff and with a professor of POLIMI, who supervises the activities and gives the methodological and design framework. The project work entails attending classes at the university as well as working in direct contact with the company.


For the Academic Year 2018/2019 six specific sub-topics are proposed (in alphabetical order):


A. “Control system for an autonomous micro vehicle for urban goods delivery -
A fully autonomous micro electric vehicle for urban delivery of goods: design and development of an architecture for electric powertrain, sensing and control systems”
Academic tutor: Prof. Sergio Matteo Savaresi
Partner company: “Yape srl”
First semester


B. “Development of a communication and control system for the supervisory control of tethered drone formations”
Academic tutor: Prof. Lorenzo Mario Fagiano
Partner company: “E-Novia S.p.A”
First semester


C. “Development of data acquisition and processing tools for electric systems”
Academic tutor: Prof. Lorenzo Mario Fagiano
Partner company: “ABB S.p.A.”
Second semester


D. “Development of an electronic suspension control system for bicycle”
Academic tutor: Prof. Matteo Corno
Partner company: “HiRide Suspension S.r.l.”
First semester

E. “Intelligent collaborative robotics - Innovative functionalities for collaborative robots (cobots) based on control, prediction, and optimization technologies””
Academic tutor: Prof. Paolo Rocco
Partner company: “Smart Robots srl”
First semester


F. “Tuning optimization of GIMATIC linear motor position/velocity loops”
Academic tutor: Prof. Luca Bascetta
Partner company: “Servotecnica SpA”
First semester


The contents of the courses in the first year of the the Automation and Control Engineering MSc Program can be taken as prerequisites for this course.

Modalità di valutazione

At the end of the project work the students will write a report of their activities and give a group presentation of the achieved results. The presentation will be given in front of the academic and industrial tutors, as well as of the other students.


Software utilizzato
Nessun software richiesto

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
Ore di studio autonome
Laboratorio Informatico
Laboratorio Sperimentale
Laboratorio Di Progetto
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Possibilità di sostenere l'esame in lingua inglese
schedaincarico v. 1.9.8 / 1.9.8
Area Servizi ICT