NETWORK AND SIGNAL TECHNOLOGIES FOR INDUSTRIAL ENVIRONMENT AND INDUSTRY 4.0

NETWORK AND SIGNAL TECHNOLOGIES FOR INDUSTRIAL ENVIRONMENT AND INDUSTRY 4.0

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Code
101492
ACADEMIC YEAR
2020/2021
CREDITS
6 credits during the 3nd year of 10800 MECHANICAL ENGINEERING - ENERGY AND PRODUCTION (L-9) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/03
TEACHING LOCATION
SAVONA (MECHANICAL ENGINEERING - ENERGY AND PRODUCTION)
semester
2° Semester
Teaching materials

OVERVIEW

The course is aimed at providing the student with basic knowledge on the topics of telecommunication networks and signal processing/analysis in industrial contexts and especially in the framework of Industry 4.0

 

AIMS AND CONTENT

LEARNING OUTCOMES

After the course, the student will have learnt the basic principles both of telecommunication networks and cyber security and of analog and digital information representation and machine learning, in applications to industrial contexts and with special focus on Industry 4.0.

AIMS AND LEARNING OUTCOMES

After the course, the student will have learnt the basic principles of telecommunication networks, the main technologies and standards related to wired and wireless networks for industrial environments, the architectures and the protocols of Internet, and the basic aspects of cyber security. The student will also have learnt the basic concepts associated with information representation through analog and digital signals and with signal analysis through machine learning.

Teaching methods

Class lectures

SYLLABUS/CONTENT

  • Basic principles of telecommunication networks
  • Main technologies and standards for wired and wireless networks in industrial environments
  • Internet architecture and protocols
  • Basic aspects of cyber security
  • Basic principles of information representation through analog and digital signals
  • Basic aspects of signal analysis through machine learning
  • Case studies of machine learning applications in industrial contexts and Industry 4.0

RECOMMENDED READING/BIBLIOGRAPHY

  • Slides used in class and made available on AulaWeb
  • Bishop C., Pattern recognition and machine learning, Springer, 2006
  • Carlson A. B., Crilly P., Communication systems, McGraw-Hill, 2009
  • Chiani M., Verdone R., Fondamenti di telecomunicazioni per l’ingegneria gestionale, Pitagora, 2004
  • Hastie T., Tibshirani R., and Friedman J., The elements of statistical learning, Springer, 2008
  • Goodfellow I., Bengio Y., and Courville A., Deep learning, MIT Press, 2016
  • Kurose J. F. and Ross K. W., Computer networking: a top-down approach, 7th Edition, McGraw-Hill, 2017
  • Stallings W., Data and computer communications, 10th Edition, Prentice Hall, 2013
  • Stallings W., Wireless communication networks and systems, Global Edition, Prentice Hall, 2016
  • Tanenbaum A. S. and Wetherall D. J., Computer networks, 5th Edition, Prentice Hall, 2010

TEACHERS AND EXAM BOARD

Ricevimento: By appointment

Ricevimento: Appointment upon students' requests (direct or by email).

Exam Board

GABRIELE MOSER (President)

SEBASTIANO SERPICO

ROBERTO BRUSCHI

RAFFAELE BOLLA (President Substitute)

LESSONS

Teaching methods

Class lectures

ORARI

L'orario di tutti gli insegnamenti è consultabile su EasyAcademy.

Vedi anche:

NETWORK AND SIGNAL TECHNOLOGIES FOR INDUSTRIAL ENVIRONMENT AND INDUSTRY 4.0

EXAMS

Exam description

Oral examination

Assessment methods

Within the oral examination, the student's knowledge of the course topics and his/her capability to discuss how to apply and use methodologies and technologies of telecommunication networks and signal representation/analysis in industrial contexts and in Industry 4.0 shall be evaluated.

Exam schedule

Date Time Location Type Notes
17/09/2021 10:00 SAVONA Esame su appuntamento