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 | 8 CFU |
(from Physics) | |
Prof. Giuseppe DIBITETTO |
A.Y. 2024-25 |
Code: 80300141 SSD: FIS/02 |
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 | I semester | 8 CFU |
G. Dibitetto
|
A.Y. 2024-25 |
Didatticaweb | |
(from Physics)
Code: |
https://www.master-mass.eu/s1-mathematical-methods-for-physics/
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).
1 YEAR | I semester | 6 CFU |
Marco Re |
A.Y. 2021-22
A.Y. 2022-23 |
A.Y. 2023-24 | |
Didatticaweb
Code: 80300061 |
1 YEAR |
1 semester | 6 CFU |
Marco Ceccarelli | A.Y. 2021-22
A.Y. 2022-23 |
Code: 803000062 SSD: ING-IND-13 (by Engineering Sciences) |
OBJECTIVES
LEARNING OUTCOMES: The course aims to teach students the knowledge and tools that are needed to address the issues that are related to the identification, modeling, analysis, and design of multi-body planar systems in English language and terminology
KNOWLEDGE AND UNDERSTANDING: modeling and procedures to recognize the structure and characteristics of mechanisms and machines
APPLYING KNOWLEDGE AND UNDERSTANDING: acquisition of analysis procedures for the understanding of kinematic and dynamic characteristics of mechanisms and machines
MAKING JUDGEMENTS: possibility of judging the functionality of mechanisms and machines with their own qualitative and quantitative assessments
COMMUNICATION SKILLS: learning technical terminology and procedures for presenting the performance of mechanisms
LEARNING SKILLS: learning technical terminology and procedures for the presentation of the performance of mechanisms
PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills
SYLLABUS
Structure and classification of planar mechanical systems, kinematic modeling, mobility analysis, graphical approaches of kinematics analysis, kinematic analysis with computer-oriented algorithms; dynamics and statics modeling, graphical approaches of dynamics analysis, dynamic analysis with computer-oriented algorithms, performance evaluation; elements of mechanical transmissions.
BOOKS:
Lopez-Cajùn C., Ceccarelli M., Mecanismos, Trillas, Città del Messico
Shigley J.E., Pennock G.R., Uicker J.J., “Theory of Machines and Mechanisms”, McGraw-Hill, New York
Handnotes and papers by the teachers