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Network technologies for mechatronics systems

01RXPQW

A.A. 2018/19

Course Language

English

Course degree

Master of science-level of the Bologna process in Mechatronic Engineering - Torino

Course structure
Teaching Hours
Lezioni 60
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Violante Massimo Professore Associato ING-INF/05 40 0 0 0 3
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-INF/03
ING-INF/05
2
4
D - A scelta dello studente
D - A scelta dello studente
A scelta dello studente
A scelta dello studente
2018/19
The course is taught in English. This is an eligible course for the Master Degree in Computer Engineering, focused on Embedded Systems, and it is eligible course for the Master Degree in Mechatronic Engineering. The course aims at presenting the most relevant network technologies for mechatronic systems, with particular emphasis on the automotive. Starting from the network architecture of a vehicle, the most relevant protocols will be described at the vehicle level, as well as the vehicle to infrastructure and the vehicle to vehicle levels. The course will also address the knowledge of tools typically used in the industry such as Vector CANalyzer/CANoe.
The course is taught in English. This is an eligible course for the Master Degree in Computer Engineering, focused on Embedded Systems, and it is eligible course for the Master Degree in Mechatronic Engineering. The course aims at presenting the most relevant network technologies for mechatronic systems, with particular emphasis on the automotive. Starting from the network architecture of a vehicle, the most relevant protocols will be described at the vehicle level, as well as the vehicle to infrastructure and the vehicle to vehicle levels. The course will also address the knowledge of tools typically used in the industry such as Vector CANalyzer/CANoe.
- Knowledge of the connectivity needs for a modern vehicle. - Knowledge of the in-vehicle protocols. - Knowledge of the V2x protocols. - Knowledge of tools for vehicle analysis.
- Knowledge of the connectivity needs for a modern vehicle. - Knowledge of the in-vehicle protocols. - Knowledge of the V2x protocols. - Knowledge of tools for vehicle analysis.
- Knowledge of the architecture of computer-based systems.
- Knowledge of the architecture of computer-based systems.
Evolution of vehicle networks (0.5 credits) Electronic architecture of a modern vehicle (1.0 credit) In-vehicle protocols (1.5 credits) - LIN - CAN - Automotive Ethernet Network analysis tools (1.0 credit) - The CAN dbc format - The CANalyzer/CANoe tools Introduction to localization protocols (GPS, GLONAS, Galileo) (0.5 credit) Introduction to V2x communication protocols and simulation tools (1.5 credit)
Evolution of vehicle networks (0.5 credits) Electronic architecture of a modern vehicle (1.0 credit) In-vehicle protocols (1.5 credits) - LIN - CAN - Automotive Ethernet Network analysis tools (1.0 credit) - The CAN dbc format - The CANalyzer/CANoe tools Introduction to localization protocols (GPS, GLONAS, Galileo) (0.5 credit) Introduction to V2x communication protocols and simulation tools (1.5 credit)
The course is organised in lectures that can be: formal lectures were novel concepts are presented, exercise lectures where the theory concepts are addressed through numerical examples, and practical lectures where activities will be implemented using laptop computers the students shall bring in class.
The course is organised in lectures that can be: formal lectures were novel concepts are presented, exercise lectures where the theory concepts are addressed through numerical examples, and practical lectures where activities will be implemented using laptop computers the students shall bring in class.
Notes provided by the teacher.
Notes provided by the teacher.
Modalità di esame: prova scritta; progetto individuale;
Exam The exam consists of a written exam, composed of 6 questions, closed book, where students are asked to address the theoretical concepts presented in class, or exercises where students are asked to solve numerical exercises by applying the theory concepts. The maximum score for the written exam is 33. Assignment Optional assignments can be developed by students. Each assignment consist in either preparing a presentation on a concept related to networking, or in developing a simulation model of a networking scenario, or implementing a networking scenario using suitable software tools. In any case, for each assignment students are asked to prepare a 1 hour speech to be presented in front of the class as a thematic seminar. The maximum score for the assignment is 6. The final grade is obtained by adding the written exam score to the assignment score. In case the final score is 33, the final grade is 30L.
Exam: written test; individual project;
Exam The exam consists of a written exam, composed of 6 questions, closed book, where students are asked to address the theoretical concepts presented in class, or exercises where students are asked to solve numerical exercises by applying the theory concepts. The maximum score for the written exam is 33. Assignment Optional assignments can be developed by students. Each assignment consist in either preparing a presentation on a concept related to networking, or in developing a simulation model of a networking scenario, or implementing a networking scenario using suitable software tools. In any case, for each assignment students are asked to prepare a 1 hour speech to be presented in front of the class as a thematic seminar. The maximum score for the assignment is 6. The final grade is obtained by adding the written exam score to the assignment score. In case the final score is 33, the final grade is 30L.


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