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INDUSTRIAL ENGINEERING FOR ADVANCED AUTOMOTIVE

Call for applications

Overview
Characteristics
Requirements
Teaching
Contacts

Year	2023
Code	5846
Main Department	Dipartimento di Ingegneria Industriale - DIN
Campus	Bologna
Credits	6
Cost	2.000 €
Application deadline	Jul 07, 2023 (Expired)
Enrolment start and end	from 21st of July 2023 to 4th of August 2023

Course overview

The programme lasts for for two weeks, classroom training is delivered in english, awards 6 CFU credits and aims the following learning outcomes related to improving the training of future engineers mainly coming from the master's degree in Advanced automotive engineering.The goal is to train and specialize high-level professionals in the mechanical, automotive and production fields dedicated to the automotive industrial world.

Subject area

Sciences and technology

Number of participants

min. 10 max. 40

Duration

2 weeks

Language

English

Additional information

A number of 30 scholarships covering tuition fees will be assigned on a basis of a ranking list to the applicants fulfilling the following requirements:

- students enrolled in the Master's Degree in Advanced Automotive Engineering (all the curricula), Advanced Automotive Electronic Engineering, Electric Vehicle Engineering

If the scholarships won't be assigned to these students fulfilling the mentioned requirements, they will be assigned to other students enrolled to the Master's degree in Engineering.

Admission qualifications: - first cycle degree and/or second / single cycle degree obtained under D.M. 270/04 or first cycle degree and/or second / single cycle degree obtained under the laws previously in force (DM 509/99 and Old Regulations) in the following fields or classes: Industrial Engineering and Electronic Engineering;

- first cycle degree and/or second / single cycle degree obtained abroad deemed equivalent to those described in point above by the admission committee, for the purposes of admission to the course;

- In order to be eligible for the 30 scholarships applicants are required to be enrolled in one of the following Master's degrees:Advanced Automotive Engineering (all the curricula), Advanced Automotive Electronic Engineering, Electric Vehicle Engineering.
Linguistic skills: Proof of Knowledge for the english language (minimum level B2 according to the European Framework). If the applicant is not in possess of an official certification, he/she could self-certify the language competence and this will be verified during the interview with the admission board.
Selection criteria: Admission to the Summer School is subject to a positive opinion based on the evaluation of the qualifications obtained (including CV) and on the interview with the Admission board.

Academic director

Dario Croccolo

Study plan

Optimisation and lightweight design and manufacturing of automotive components - - Hybrid and electric powertrains - SSD ING-IND/14 - Dario Croccolo
Impact of Industry 4.0 technologies on the Automotive manufacturing and assembly systems - Information-driven Planning and Control - SSD ING-IND/17 - Mauro Gamberi
Vehicle dynamics applied to hybrid and electrified motorcycles and cars - SSD ING-IND/13 - Alberto Martini
Life Cycle Assessment of hybrid and electric vehicles - Ethical and legal aspects related to digitisation and use of Artificial Intelligence in automotive applications - Other topics TBD - SSD CHIM/12 - Fabrizio Passarini
Sensing Objectives and Performance Estimation - SSD - Silvia Ferrari
Sensors for automotive - Automotive connectivity - Hybrid powertrain - SSD ING-INF/03 - Alessandro Bazzi
Visite aziendali - SSD ING-IND/08 - Nicolò Cavina

Prof. Dario Croccolo

E-mail

dario.croccolo@unibo.it

Attachments

bando_versione IT [.pdf 363 KB]
istruzione operative_EN [.pdf 258 KB]
Istruzioni operative_IT [.pdf 260 KB]

INDUSTRIAL ENGINEERING FOR ADVANCED AUTOMOTIVE

Optimisation and lightweight design and manufacturing of automotive components - - Hybrid and electric powertrains - SSD ING-IND/14 - Dario Croccolo

Impact of Industry 4.0 technologies on the Automotive manufacturing and assembly systems - Information-driven Planning and Control - SSD ING-IND/17 - Mauro Gamberi

Vehicle dynamics applied to hybrid and electrified motorcycles and cars - SSD ING-IND/13 - Alberto Martini

Life Cycle Assessment of hybrid and electric vehicles - Ethical and legal aspects related to digitisation and use of Artificial Intelligence in automotive applications - Other topics TBD - SSD CHIM/12 - Fabrizio Passarini

Sensing Objectives and Performance Estimation - SSD - Silvia Ferrari

Sensors for automotive - Automotive connectivity - Hybrid powertrain - SSD ING-INF/03 - Alessandro Bazzi

Prof. Dario Croccolo

E-mail

Attachments