Professors AY 2023-2024
Professors
ANDREINI PAOLO
- Code 2016226 - [2016226] INTRODUCTORY COURSE FOR MSC DEGREES - Credit(s): 0
BARTOLINI SANDRO
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Code 2000203 -
[2000203] DESIGN OF APPLICATIONS, SERVICES AND SYSTEMS -
Credit(s): 9
More information and training material
For any doubt, drop an email to the teacher.
- Code 2000493 - [2000493] DESIGN OF APPLICATIONS AND SERVICES - Credit(s): 6
BIANCHINI GIANNI
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Code 2016827 -
[2016827] ADVANCED CONTROL SYSTEMS -
Credit(s): 12
More information and training material
Website (Part 1): https://www3.diism.unisi.it/~giannibi/teaching/
Website (Part 2): http://control.dii.unisi.it/anc/
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Code 2016828 -
[2016828] ROBUST AND PREDICTIVE CONTROL -
Credit(s): 6
More information and training material
Ulteriori informazioni e materiale didattico sulla pagina web della piattaforma di Ateneo relativa al corso.
BIANCHINI MONICA
- Code 2000189 - [2000189] BIOINFORMATICS - Credit(s): 6
CASINI MARCO
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Code 2016823 -
[2016823] SYSTEM IDENTIFICATION -
Credit(s): 6
More information and training material
More info about the course are available in the web page:
https://control.dii.unisi.it/sysid/ -
Code 2016827 -
[2016827] ADVANCED CONTROL SYSTEMS -
Credit(s): 12
More information and training material
Website (Part 1): https://www3.diism.unisi.it/~giannibi/teaching/
Website (Part 2): http://control.dii.unisi.it/anc/
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Code 2016829 -
[2016829] APPLIED NONLINEAR CONTROL -
Credit(s): 6
More information and training material
Website: http://control.dii.unisi.it/anc/
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Code 2017432 -
[2017432] SYSTEM IDENTIFICATION AND DATA ANALYSIS -
Credit(s): 12
More information and training material
More info about the course are available in the web pages:
http://www.dii.unisi.it/~control/sysid (**System Identification**)
http://www.dii.unisi.it/~control/sef (**State Estimation and Filtering**)
FALASCHI MORENO
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Code 2000207 -
[2000207] MODELS AND LANGUAGES FOR BIOINFORMATICS -
Credit(s): 6
More information and training material
Link per didattica a distanza:
https://meet.google.com/urn-hvzc-xbbLa bioinformatica è una disciplina scientifica emergente, il cui sviluppo è fondamentale per le biotecnologie del futuro. La ricerca in bioinformatica e’ rilevante per il territorio senese e toscano, in cui vi operano diverse grosse industrie biofarmaceutiche, che possiedono una unita’ bioinformatica. La ricerca in bioinformatica e’ in rapido sviluppo a livello internazionale.
FORT ADA
- Code 109163D - [109163D] SENSORS AND MICROSYSTEMS - Credit(s): 6
GARULLI ANDREA
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Code 2017431 -
[2017431] STATE ESTIMATION AND FILTERING -
Credit(s): 6
More information and training material
More info about the course are available in the web page:
http://www.dii.unisi.it/~control/sef -
Code 2017432 -
[2017432] SYSTEM IDENTIFICATION AND DATA ANALYSIS -
Credit(s): 12
More information and training material
More info about the course are available in the web pages:
http://www.dii.unisi.it/~control/sysid (**System Identification**)
http://www.dii.unisi.it/~control/sef (**State Estimation and Filtering**)
GIANNITRAPANI ANTONIO
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Code 2016825 -
[2016825] DYNAMIC PROGRAMMING AND REINFORCEMENT LEARNING -
Credit(s): 6
More information and training material
More information about the course can be found at
GIORGI ROBERTO
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Code 109156D -
[109156D] HIGH PERFORMANCE COMPUTER ARCHITECTURE -
Credit(s): 9
More information and training material
The teaching material is the reference text book and the lesson slides that are available on the site: https://hpca.diism.unisi.it/lezioni.htm
Suggestions for a better preparation: both in the written and oral exams (but also in the projects) the student is mainly required to show his/her detailed understanding of the topic, at least at the level shown by the teacher during the lesson. It's greatly appreciated the capacity of reasoning on the problem, rather then a mechanical (pedant) description of the topic.
In case of written exercise, we mainly look at the correctness of the solution (in terms of numbers) and a very short justification of the chosen way to carry out the exercise (lengthy general wording is completely unnecessary).
In case of oral question, the topic is typically one of the concepts illustrated during the lesson. Elements that are required are, for instance: the proof of the concept/theorem, precise schematic of the system, detailed behavior and functioning, reasons why this solution is used in the real-world.To follow the lessons online, refer to the most up-to-date information available on the course website https://hpca.diism.unisi.it/lezioni.htm
Office hours are each Monday 16:30-19:00 or on appointment (giorgi@unisi.it), either in room 110 (S. Niccolò) or via telco.
- Code 109156D - [109156D] HIGH PERFORMANCE COMPUTER ARCHITECTURE - Credit(s): 9
- Code 2015246 - [2015246] ADVANCED COMPUTER ARCHITECTURES - Credit(s): 6
GORI MARCO
- Code 2016821 - [2016821] FUNDAMENTALS OF MACHINE LEARNING - Credit(s): 6
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Code 2016821 -
[2016821] FUNDAMENTALS OF MACHINE LEARNING -
Credit(s): 6
More information and training material
Informazioni sul corso:
Webpage of the course on classroom athttps://classroom.google.com/u/0/c/NTU0Njg4NDUwNTI5
class code: 6zibd4t
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Code 2016822 -
[2016822] MACHINE LEARNING -
Credit(s): 12
More information and training material
Informazioni sul corso:
Webpage of the course on classroom athttps://classroom.google.com/u/0/c/NTU0Njg4NDUwNTI5
class code: 6zibd4t
MAGGINI MARCO
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Code 2000194 -
[2000194] LANGUAGE PROCESSING TECHNOLOGIES -
Credit(s): 6
More information and training material
The course material (lecture slides and example code) is available on the USienaIntegra (Moodle) site:
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Code 2013578 -
[2013578] BIG DATA -
Credit(s): 6
More information and training material
More infomation will be available on home page of the course on unisi moodle platform.
- Code 2013578 - [2013578] BIG DATA - Credit(s): 6
MECOCCI ALESSANDRO
- Code 2017429 - [2017429] DIGITAL IMAGE PROCESSING - Credit(s): 6
MELACCI STEFANO
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Code 2014376 -
[2014376] NEURAL NETWORKS -
Credit(s): 6
More information and training material
The course webpage is published on the USienaIntegra platform,
https://elearning.unisi.it/course/view.php?id=9905 - Code 2014376 - [2014376] NEURAL NETWORKS - Credit(s): 6
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Code 2014376 -
[2014376] NEURAL NETWORKS -
Credit(s): 6
More information and training material
Pagina del corso nella piattaforma USienaIntegra: https://elearning.unisi.it/course/view.php?id=6258
La pagina include materiale didattico e le informazioni su come vengono erogate le lezioni.
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Code 2016822 -
[2016822] MACHINE LEARNING -
Credit(s): 12
More information and training material
Informazioni sul corso:
Webpage of the course on classroom athttps://classroom.google.com/u/0/c/NTU0Njg4NDUwNTI5
class code: 6zibd4t
MOCENNI CHIARA
- Code 2017398 - [2017398] COMPLEX SYSTEMS - Credit(s): 6
PANZARDI ENZA
- Code 109163D - [109163D] SENSORS AND MICROSYSTEMS - Credit(s): 6
PAOLETTI SIMONE
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Code 109151D -
[109151D] DISCRETE-EVENT SYSTEMS -
Credit(s): 6
More information and training material
Lectures of the course will be in presence only (no streaming). Videos covering the contents of the course will be made available to registered students. Information about the course (including instructions on how to register for the course) can be found at the web page: https://www3.diism.unisi.it/~paoletti/teaching/sed/2324/index.html
PRANZO MARCO
- Code 109161D - [109161D] NETWORK OPTIMIZATION - Credit(s): 6
PRATTICHIZZO DOMENICO
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Code 2000184 -
[2000184] HUMAN-CENTERED ROBOTICS -
Credit(s): 6
More information and training material
Bibliographic references will be provided during the course.
- Code 2000184 - [2000184] HUMAN-CENTERED ROBOTICS - Credit(s): 6
SALVIETTI GIONATA
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Code 2016830 -
[2016830] INDUSTRIAL ROBOTICS -
Credit(s): 6
More information and training material
Saranno messi a disposizione numerosi strumenti per la simulazione di robot industriali.
Sito web del corso: http://control.dii.unisi.it/ir/index.htm
SCARSELLI FRANCO
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Code 2016824 -
[2016824] ADVANCED MACHINE LEARNING -
Credit(s): 6
More information and training material
More infomation will be available on home page of the course on unisi moodle platform.
TRENTIN EDMONDO
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Code 109148D -
[109148D] ARTIFICIAL INTELLIGENCE -
Credit(s): 9
More information and training material
See the official webpage at http://www.dii.unisi.it/~trentin/Teaching.html
Video-presentation of the 6EC module (LM-40): https://www.youtube.com/watch?v=vmysauk1Pnw
-Disclaimer (for ERASMUS students)
Erasmus students are welcome. Nonetheless, tThere are NO DISCOUNTS for Erasmus students. All students are required to come through the exam FULLY positively in order to get their credits.
VICINO ANTONIO
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Code 2016827 -
[2016827] ADVANCED CONTROL SYSTEMS -
Credit(s): 12
More information and training material
Website (Part 1): https://www3.diism.unisi.it/~giannibi/teaching/
Website (Part 2): http://control.dii.unisi.it/anc/
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Code 2016828 -
[2016828] ROBUST AND PREDICTIVE CONTROL -
Credit(s): 6
More information and training material
Ulteriori informazioni e materiale didattico sulla pagina web della piattaforma di Ateneo relativa al corso.
ZANVETTOR GIOVANNI GINO
- Code 2016226 - [2016226] INTRODUCTORY COURSE FOR MSC DEGREES - Credit(s): 0