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    Dottorato di Ricerca in 
    Information Technology and Electrical Engineering (ITEE)

    Visite: 2061

    02-03-04-14-15-16/04/2025    Ad hoc course

     

    Title: I pilastri della trasformazione digitale

     

    Lecturer:  dr. Francesco Tortorelli - Independent consultant, former AgID director -

     

    Period: 02-03-04914-15-16/04/25

    Assessment test:  TBD 

     

    Credits:  3

     

    Participants are requested to send an e-mail to Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. by March 22, 2025, with the following information:

    Student name and surname, name of the PhD course, PhD cycle

     

    Il corso è in lingua italiana / The course will be held in Italian

    Le Lezioni si terranno in Aula Seminari, I piano, DIETI, Palazzina 3, Via Claudio, 21 – 80125 – Napoli.
    La lezione del 14 aprile si terrà in Sala Riunioni, Edificio 3, piano 3°, Via Claudio 21.

     

    For information: Prof. Nicola Mazzocca (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

     

     

    I Pilastri Trasformazione Digitale

     

    Visite: 86

    25-27/03/2025 - 02-11/04/2025

     

    Title: Electronic Scan Antennas for Radar Signal Processing Applications

     

    Lecturer:  dr. Enzo Carpentieri, dr. Massimo Rosamilia - Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI-UNINA)

     

    Period: 25-27/03/2025 - 02-11/04/2025 lessons will be held on Room Seminars in the building 3, first floor - DIETI, Via Claudio, 21- 80125 Napoli

    Assessment test: 11-04-2025

     

    Credits: 2

     

    The course is in presence

     

     

    For information: dr. Massimo Rosamilia (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 

     

     

    Electronic scan antennas

    Visite: 2423

    28-31/01 - 4-7-11-14-25/02/2025   Ad hoc course

     

    Title: IoT Data Analysis

     

    Lecturer:  prof. Raffaele Della Corte - Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI-UNINA)

     

    Period: 28-31/01 - 4-7-11-14-25/02/2025

    Assessment test:  TBD 

     

    Credits:  4

     

    By 26th January 2025, participants are requested to join the following MS Teams group:
    https://teams.microsoft.com/l/team/19%3AD_5hbIhVdQxQdEgYXv4ZCFMtqVemIPxInLF37gs34
    JI1%40thread.tacv2/conversations?groupId=a0e1cf3a-6049-43bf-a870-
    3b2d6a6f660f&tenantId=2fcfe26a-bb62-46b0-b1e3-28f9da0c45fd


    Once accepted in the Teams group, students have to fill the following .xlsx file with their
    information (i.e., Student name and surname, e-mail, name of the PhD course, PhD cycle):
    https://communitystudentiunina.sharepoint.com/:x:/s/IoTDataAnalysis-ITEEA.A.2024-
    25/EVnia8dSnrNFpgjtgIJzU3ABE6QyPt5KusVM5XvZqNqftQ?e=OQ8Rvq

    The course is conducted on-site. However, students pursuing their PhD period abroad (for
    research purposes) have the option to request remote attendance for classes via MS Teams.

    For information: Prof. Raffaele Della Corte (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.     

     

     

    IoT Data Analysis

     

    Visite: 154

    04/03/2025

     

    Time: 15:00-16:00

     

    Title: Dynamic Risk Assessment in Industrial Applications: Leveraging Bayesian Inference for Enhanced Decision-Making


     

    Lecturer: prof. Simone Guarino -  University Campus Bio-Medico of Rome, Roma Italy,  Department of Engineering

     

    Location: Seminars Room, Building 3, Via Claudio 21, Naples

     

     

    For information:  Dr. Francesco Vitale (DIETI, UniNA)  Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

     

    CFU - 0,2

     

    Dinamik Risk

     

     

     

    Visite: 327

    03-06-10-14-17-19/02/2025

     

    Title: Using Deep Learning properly

     

    Lecturer:  dr. Andrea Apicella- Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI-UNINA)

     

    Period:  3 February in classroom CL T4 in the biennium building, on 6-10-14-17 and 19 February in classroom C2A building 3 - DIETI, Via Claudio, 21- 80125 Napoli

    Assessment test: TBD

     

    Credits:  4

     

    The course is in presence

     

     

    For information: dr. Andrea Apicella (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

     

    Using Deep Learning

    1. AD HOC COURSE: Design methodologies for digital circuits and systems oriented to FPGA
    2. SEMINAR: Can we Rely on AI? Reliability Issues in Artificial Neural Networks and Potential Solutions for Autonomous Vehicles
    3. SEMINAR: The Good, the Bad, and the Ugly in Quantum Computing: Computational Power, Intrinsic Noise, and Transient Faults
    4. AD HOC COURSE: SOLAR CELLS: MODELLING AND APPLICATIONS

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