Classes & Laboratories – Physics of Data

Master’s course

Classes & Laboratories

classes

The University of Padua’s Master’s degree program in Physics of Data is conducted in the structures and classrooms listed below:

Department of Physics and Astronomy “Galileo Galilei”

Room B; 200 seats
Room C; 100 seats
Room Voci; 35 seats

“Ricci Curbastro Complex” (Ex Paolotti)

P1C; 46 seats, equipped with smartboard
P4C; 45 seats
P4; 14 seats

Multifunctional polo “Antonio Vallisneri”

Room 0D; 210 seats

Interchemical center

Room E; 41 seats equipped with electrical sockets
Room N; 35 seats equipped with electrical sockets

Luzzanti classrooms

Room LUF2; 98 seats

LAboratories

The informatic laboratory LabP104 used during the Master’s degree in Physics of Data are located in the “Ricci Curbastro Complex”(Ex Paolotti).

The Physics of Data program excels for the computing resources made available for students.

The computing lab hosts more than a hundred desktops, all configured and maintained with the most up-date software packages for big data analytics and machine learning.

The local cloud infrastructure (CloudVeneto) is also available to students for more demanding computing task: such computing cluster includes 12 Nvidia GPUs dedicated to network training.

More than 25 FPGA boards (AMD Artix7) are also available for the lab activities of the Programmable Hardware Devices course.

library and study rooms

During the entire duration of the Master, students will be able to use the library of the Physics and Astronomy Department “Bruno Benedetto Rossi” . The Library offers 70 study places equipped with an electrical socket and so on distributed:

36 in the Space room (seats S01-S036)
28 in the Tempo room (seats T01-T028)
6 in Atrium (seats A01-A06, seats A01-A04 can be booked for group study)

There are also the study room WiFi Lab with 60 seats space reserved for students in Physics of Data located on Paolotti Complex for co-working activities, the study room it’s equiped with electrical sockets, data sockets and WiFi connection.