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

23-25-30/01/2024  01-06-08/02/2024     Ad hoc course

 

 

Title: Using Deep Learning properly

 

Lecturer:  dr. Andrea Apicella - Dieti - Unina - 

 

Period:  23-25-30/01/2024  01-06-08/02/2024

Assessment test:   TBD

Lesson: 6

Credits:  4

The lectures are held in C2A room, ground floor of building #3, via Claudio 21, Napoli

Participants are requested to join the following MS Teams group: https://teams.microsoft.com/l/team/19%3aO83S27sneGGzE6FysYhB3P7OpTu-49maT0JT0RNwL_U1%40thread.tacv2/conversations?groupId=dc321d84-072e-4965-95e3-0f0ddc872860&tenantId=2fcfe26a-bb62-46b0-b1e3-28f9da0c45fd

Once accepted in the Teams group, students have to fill the following .xlsx file with their information:

https://communitystudentiunina-my.sharepoint.com/:x:/g/personal/andrea_apicella_unina_it/ERyITFguH7JKr99o2XVA7z4B216wzWt0fnKFS_BJ8jOGlg?e=dendtT

 

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

 

 Using Deep Learning properly

 

10-17-24/01 - 1-7-14-21-28/02 - 6/03/2024   Ad hoc course

 

Title: How to boost your PhD 

 

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

 

Period:  10-17-24/01 - 1-7-14-21-28/02 - 6/03/2024

 

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/9cxaEXwz5jSA1w57A
The course will be held ONLY IN PRESENCE

 

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

 How to boost

 

08-11-15-19-23-25-29-31/01/2024  05-07-26/02/2024

                                                                              Ad hoc course

 

Title:  Virtualization technologies and their applications

 

 

Lecturer:  prof. Luigi De Simone- DIETI, Unina

 

Period:  08-11-15-19-23-25-29-31/01/2024  05-07-26/02/2024

 

Assessment test:  26/02/2024

 

Credits:  5 

 

The lectures are held in C2A room, ground floor of building #3, via Claudio 21, Napoli

 

By 7th January 2024, participants are requested to join the following MS Teams group:

 

https://teams.microsoft.com/l/team/19%3AlgXNb8iet0qhgQb03XLbWh-M3JQWzvbjL3sHRL2fWVg1%40thread.tacv2/conversations?groupId=def50cf0-b676-4b46-80c8-5f4bbc977b0f&tenantId=

 

Once accepted in the Teams group, students must 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/2023_2024_VirtualizationTechnologiesandtheirApplications/Eb4knGIEfbdNgcLTxAvNZLoBTg5EcF6ge6DrTVMXkWXQyA?e=xTgqYz

 

The course is conducted on-site (the classrooms will be announced in the coming days). 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. Luigi De Simone (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. (Web-page: http://wpage.unina.it/luigi.desimone/ )

 

 Virtual Tech

 

15-19-21-23-27-29/02/2024

                                                                              Ad hoc course

 

Title:  Statistical data analysis for science and engineering research

 

 

Lecturer:  prof. Roberto Pietrantuono - DIETI, Unina

 

Period:  15-19-21-23-27-29/02/2024

 

Assessment test:  TBD

 

Credits:  4 

 

Lectures are also streamed on the University platform Microsoft Teams. Team Code: 82w8tmr

 

The lectures are held in Aula Seminari 1° floor of building #3, via Claudio 21, Napoli - DIETI

 

Doctoral Students interested in the module are requested to join the team (code 82w8tmr) and fill in

the “Participants Info” file available under the “File” tab.

 

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

 

 

 

 Statistical Data Analysis

 26-30/01/2024  02-06-09/02/2024

                                                                              Ad hoc course

 

Title:  NUMERICAL METHODS FOR THERMAL ANALYSIS, MODELING, AND SIMULATION: APPLICATION TO ELECTRONIC DEVICES AND SYSTEMS

 

 

Lecturer:  dr.  Antonio Pio Catalano-  DIETI-Unina

 

Period:  26-30/01/2024  02-06-09/02/2024

Assessment test:  TBD

 

Credits:  4 

 

The lectures are held in T3 room, ground floor of building #1, via Claudio 21, Napoli

 

Participants are requested to join the following MS Teams group:

https://teams.microsoft.com/l/team/19%3axwFfkhsoHPYQRml7veTZA6f3LoLQ6SsMTDVacZ3bpNk1%40thread.tacv2/conversations?groupId=d8039eb2-d115-4ece-a4e4-9f7bc850f230&tenantId=2fcfe26a-bb62-46b0-b1e3-28f9da0c45fd

Once accepted in the Teams group, students have to fill the following .xlsx file with their information:

https://communitystudentiunina.sharepoint.com/:x:/s/AD-HOCCOURSEITEE-NUMERICALMETHODSFORTHERMALANALYSISMODELINGA/ESYq7ABYXm5Ph6Dc_IevTbUB0_-0M3vpFeUL3qhhOVdslA?e=1WTrcv

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: Dr. Antonio Pio Catalano (DIETI, UniNA) – Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

 

 

  Numerical_Methods

 

 

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