1 YEAR (Block C2) |
II semester | 6 CFU |
(from Mechanics) | |
Prof. |
A.Y. 2024-25 |
Code: SSD: ING-IND/32 |
1 YEAR (Block C2) |
II semester | 6 CFU |
(from Mechanics) | |
Prof. |
A.Y. 2024-25 |
Code: SSD: ING-IND/32 |
1 YEAR (Block D) |
1 semester | 6 CFU |
(from Physics) | |
Prof. |
A.Y. 2024-25 |
Code: 80300139 SSD: FIS/05 |
1 YEAR (Block C) |
1 semester | 6 CFU |
(from ICT Internet Engineering) | |
Prof. Gaetano MARROCCO |
A.Y. 2024-25 |
Code: 8039528 SSD: ING-INF/02 |
(prerequisite: ELECTROMAGNETIC FIELDS)
1 YEAR (Block C) |
1 semester | 6 CFU |
Prof. Aldo DI CARLO | A.Y. 2024-25 |
Code: 80300150 SSD: ING-INF/01 |
1 YEAR | II semester | 6 CFU |
Eugenio Martinelli |
A.Y. 2024-25 |
Didatticaweb | |
Code: SSD: ING-INF/01 |
Description: The course, starting from the principles of deep learning, will bring the students to study, analyze, and use all the main DL algorithms in different application scenarios. During the course, theory lessons will also be coupled with practical sessions where the algorithm will be applied to real data.
1 YEAR | II semester | 6 CFU |
Christian Falconi | A.Y. 2022-23 (new) |
Code: 80300103 SSD: ING-INF/01 |
LEARNING OUTCOMES:
The goal is to teach the fundamental principles and tools for designing electronic interfaces.
The contents of the course have general validity, but the focus will be on electronic interfaces for mechatronics.
The course is oriented toward design.
KNOWLEDGE AND UNDERSTANDING:
Students will need to know and understand the fundamental principles and tools for the analysis and design of electronic interfaces.
APPLYING KNOWLEDGE AND UNDERSTANDING:
Students will have to demonstrate that they are able to design electronic interfaces.
MAKING JUDGEMENTS:
Students will be able to evaluate the design of electronic interfaces.
COMMUNICATION SKILLS:
The students, in addition to illustrating the fundamental principles and tools for the design of electronic interfaces, must be able to explain each design choice.
LEARNING SKILLS:
Students must be able to read and understand scientific texts and articles (also in English) concerning electronic interfaces.
Thévenin equivalent circuit.
Norton equivalent circuit.
Laplace transform
Fourier transform
Fundamentals on electronic devices.
Equivalent circuits (mechanic systems, thermal systems,…).
Diode circuits.
Transistor circuits.
Nullors.
Operational amplifiers (op amps).
Universal active devices.
Non-idealities of op-amps and other universal active devices.
Op-amp circuits.
Simulations of electronic circuits (SPICE).
Electronic interfaces.
Circuits for mechatronics (design examples).
2 YEAR | I semester | 6 CFU |
Mauro De Sanctis | ICT and Internet Engineering (6 of 9) |
A.Y. 2023-24 | |
Didatticaweb
Code: 80300052 |
2 YEAR | I semester | 6 CFU |
Tommaso Rossi
Cesare Roseti |
ICT and Internet Engineering |
A.Y. 2023-24 | |
Code: SSD: ING-INF/03 |
FORMATIVE OBJECTIVES
The course module provides an overview of the technologies involved in the multimedia application evolution from analogue to digital, from linear television to video on demand. To this aim, the module addresses the main TV standards, the TCP/IP protocols involved in modern streaming services, the network architectures and the different service modes.
PREREQUISITES: A good background in TCP/IP protocols.
SYLLABUS:
PARTE I – Digital TV standards, MPEG-2 and Transport Stream, IP encapsulation over DVB.
PARTE II – IP multicast, IGMP, IP multicast routing
PARTE III – Transport protocols for IP multimedia applications; Video streaming applications and CDN, the multimedia protocol stack, RTP and RTCP, multimedia signalling protocols: RTSP, SDP and SIP, Key Performance Indicators.
PARTE IV -Adaptive Streaming over HTTP, MPEG-DASH, Support to multimedia applications over 5G.
2 YEAR | II semester | 6 CFU |
Patrizio Tomei (4cfu) Eugenio Martinelli (2cfu) |
A.Y. 2023-24 |
SANTOSUOSSO Giovanni Luca | A.Y. 2024-25 (new name “Identification and Neural Networks” |
Didatticaweb | |
Code: 80300088 SSD: ING-INF/04 |
Pre-requirement: The basics of systems theory and control are required.
LEARNING OUTCOMES: The course aims to provide the basic techniques for the design of predictors, filters, and adaptive controllers.
KNOWLEDGE AND UNDERSTANDING: Students must obtain a detailed understanding of design techniques with the help of MATLAB-SIMULINK to solve industrial problems of adaptive filtering, adaptive prediction, and adaptive control.
APPLYING KNOWLEDGE AND UNDERSTANDING: Students must be able to apply the project techniques learned in the course even in different industrial situations than those examined in the various phases of the course.
MAKING JUDGEMENTS: Students must be able to apply the appropriate design technique to the specific cases examined, choosing the most effective algorithms.
COMMUNICATION SKILLS: Students must be able to communicate using the terminology used for filtering, prediction, and adaptive control. They must also be able to provide logical and progressive exposures starting from the basics, from structural properties, from modeling to the design of algorithms, without requiring particular prerequisites. Students are believed to be able to understand the main results of a technical publication on the course topics. Guided individual projects (which include the use of Matlab-Simulink) require assiduous participation and exchange of ideas.
LEARNING SKILLS: Students must be able to identify the appropriate techniques and algorithms in real cases that arise in industrial applications. Furthermore, it is believed that students have the ability to modify the algorithms learned during the course in order to adapt them to particular situations under consideration.
Texts
Adaptive Filtering Prediction and Control, Graham C. Goodwin, Kwai Sang Sin, Dover Publications, 2009.