Enabling Technologies for Industrial Internet of Things, Certificate | Online (optional) | University of Pisa | Pisa, Italy
8 days
Duration
250 EUR/full
250 EUR/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Enabling Technologies for Industrial Internet of Things programme from University of Pisa is organized to oer 6 ECTS (48 hours of front lessons) in the fields of Electronics, RFID, Sensors, Networking, Web of Things, SW for IoT, targeting an audience of Bachelor (last year), Master and PhD students, early stage researchers and practitioners from Academia or Industry.

Visit the official programme website for more information

Overview

Aim

The summer school provides theoretical and practical lessons about recent advances in enabling technologies for electronics, electromagnetics, future wireless transceivers and wireless sensor networks, systems, edge and cloud computing, networks in scenarios such as IoT, Industry 4.0, Cyber-Physical-Systems (CPS), autonomous vehicles, robots.Wireless circuits and systems and internet technology are becoming pervasive in many applications elds such as Industry4.0 (e.g. RFID, additive manufacturing, smart manufacturing), vehicle industry (e.g. connected cars, advanced driver assistance systems, V2V and V2I wireless communications, radar, lidar), automation in industrial or domotic scenarios (e.g. wireless sensor and actuator networks), health&wellness (e.g. wireless wearable sensing and biomedical circuits), robots.

A final exam is foreseen. After passing the exam the University of Pisa will register the course as an official exam of 6 ECTS. Indeed, the school has got already an accreditation at European level being part of the network of European Summer Schools. The school in the past 2016, 2017, 2018, 2019, 2020, 2021 and 2022 editions hosted about 40 students/year, from 4 continents (Europe, America, Asia, Africa) with invited speakers like Federico Faggin, the "father of the microprocessor", Franco Maloberti, IEEE CAS society President, Lorenzo Fioramonti, past Minister for University and Research.

Programme Structure

Courses include:

  • Wireless circuits and systems and internet technology are becoming pervasive in many applications elds such as Industry4.0 (e.g. RFID, additive manufacturing, smart manufacturing), vehicle industry (e.g. connected cars, advanced driver assistance systems, V2V and V2I wireless communications, radar, lidar), automation in industrial or domotic scenarios (e.g. wireless sensor and actuator networks), health&wellness (e.g. wireless wearable sensing and biomedical circuits), robots.

Lecturers

  • Prof. Sergio Saponara 

Key information

Duration

  • Full-time
    • 8 days

Start dates & application deadlines

Language

English

Credits

6 ECTS

Delivered

On Campus, Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • To be a University student (Bachelor last year, Master and PhD) or having a University degree in the field of STEM (Science, Technology, Engineering, Management) disciplines.
  • Identity Document (*PASSPORT in case you are a foreign student*)
  • Enrolment Form
  • Curriculum Vitae

Tuition Fee

To always see correct tuition fees
  • International

    250 EUR/full
    Tuition Fee
    Based on the tuition of 250 EUR for the full programme during 8 days.
  • EU/EEA

    250 EUR/full
    Tuition Fee
    Based on the tuition of 250 EUR for the full programme during 8 days.

Living costs for Pisa

750 - 1100 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Enabling Technologies for Industrial Internet of Things
-
University of Pisa

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