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

    Visite: 4115

    08-15-22-29/01/2025 - 05-12/02/2025   Ad hoc course

     

    Title: How to boost your PhD 

     

    Lecturer:  prof. Antigone Marino - CNR-ISASI - Physics Department - University of Naples Federico II - 

     

    Period:  08-15-22-29/01/2025 - 05/12/02/2025

     

    Hours: 18

    Credits:  5

    All lectures are in room 0M03 in the Department of Physics, Complesso
    Universitario di Monte Sant’Angelo, via Cinthia, Napoli

     

    Notes


    Ph.D. Students interested in the module are required to register at this link:
    https://forms.gle/gXnE5EwZ27cb8agJ8  
    The course will be held ONLY IN PRESENCE

     

    For information: Prof. ANTIGONE MARINO - tel. 081 676342 – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

     How to boost

     

    Visite: 2133

    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: 2532

    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: 12

    06-08-12-19-20-29/05/2025 03/06/2025

     

    Title: Matrix Analysis for Signal Processing with MATLAB Examples 

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

     

    Period: 06-08-12-19-20-29/05/2025 - 03/06/2025 classrooms are indicated in the course poster - DIETI, Via Claudio, 21- 80125 Napoli

    Assessment test: 03-06-2025

     

    Credits: 3

     

    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.

     

     

    Matrix Analysis

     

    Visite: 129

    28-29/04/2025 - 05-06-09-12-14/05/2025

     

    Title: Methodologies and Tools for conducting Systematic Literature Reviews and Systematic Mapping Studies

    Lecturer:  prof. Domenico Amalfitano - Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI-UNINA)

     

    Period: 28-29/04/2025 - 05-06-09-12-14/05/2025 lessons will be held on Aula Seminari in the building 3, 1st floor - DIETI, Via Claudio, 21- 80125 Napoli

    Assessment test: 14-05-2025

     

    Credits: 3

     

    The course is in presence

     

    Participants are requested to join the following MS Teams group by April 25th: Methodologies and

    Tools for Conducting SLRs and SMSs | General | Microsoft Teams

     

     

     

    For information: prof. Domenico Amalfitano (DIETI, UniNA) – domenico.amalfitano@unina.it

     

     

     

    SLRSMS

     

    Visite: 501

    10-14-17-24-28/01/2025

     

    Title:       SOLAR CELLS: MODELLING AND APPLICATIONS

     

     

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

     

    Period: 10-14-17-24-28/01/2025

    Assessment test: TBD

     

    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

     

    Credits:  4 cfu

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

     Venue: C2A (building 3) - I4 and T4 (building 1), Via Claudio 21, 80125 Naples

     

     

    Solar cell

    1. AD HOC COURSE: The Linear Parameter Varying approach: theory and application
    2. AD HOC COURSE: Using Deep Learning properly
    3. SEMINAR: AI and Enabling Technologies for Social Robots
    4. SEMINAR: Can we Rely on AI? Reliability Issues in Artificial Neural Networks and Potential Solutions for Autonomous Vehicles

    Pagina 2 di 6

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