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PhD Program in 
Information Technology and Electrical Engineering (ITEE)

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) – This email address is being protected from spambots. You need JavaScript enabled to view it.
 

 

 

IoT Data Analysis

 

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

 

Title: Using Deep Learning properly

 

Lecturer:  dr. Andrea ApicellaDipartimento 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) – This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Using Deep Learning

16/01/2025

 

Time: 10:30-11:30

 

Title: Can we Rely on AI? Reliability Issues in Artificial Neural Networks and Potential Solutions for Autonomous Vehicles

 

LecturerProf. Paolo Rech - University of Trento, Trento, Italy,  Department of Industrial Engineering

 

Location: Room I.6, Building I, Via Claudio 21, Naples

 

 

For information:  Dr. Edoardo Giusto (DIETI, UniNA) – This email address is being protected from spambots. You need JavaScript enabled to view it. 

 

CFU - 0,2

 

Seminar-Rech_AI

 

 

17/01/2025

 

Time: 10:30-11:30

 

Title: The Good, the Bad, and the Ugly in Quantum Computing: Computational Power, Intrinsic Noise, and Transient Faults

 

LecturerProf. Paolo Rech - University of Trento, Trento, Italy,  Department of Industrial Engineering

 

Location: Room I.6, Building I, Via Claudio 21, Naples

 

 

For information:  Dr. Edoardo Giusto (DIETI, UniNA) – This email address is being protected from spambots. You need JavaScript enabled to view it. 

 

CFU - 0,2

 

 

 

Seminar-Rech_QC

 

 

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