Subjects AY 2022-2023 | APPLIED MATHEMATICS

Elenco degli insegnamenti attivi che sono erogati nell'anno accademico

Year of study: 1 - Registered 2022/2023
Second cycle degree (Laurea Magistrale) in APPLIED MATHEMATICS

Season: Not available

Code : 2000040 - CHOSEN BY STUDENT YEAR I - Credit(s): 6

Season: First Semester

Code : 2010386 - ADVANCED ANALYSIS - Credit(s): 6
More information and training material
In case of serious epidemic situation, the lectures will be online. This will be discussed with the students, in presence, in the first lecture. In case of online lectures,
the platform we will use will be Gmeet. Office hours depending on the epidemic situation: it will be online, to be decided with the students: please, write at bellettini@diism.unisi.it
Code : 2010382 - ADVANCED GEOMETRY - Credit(s): 6
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La pagina web del docente https://www3.diism.unisi.it/~chiantini/ sezione "Didattica" contiene alcuni file di approfondimento su argomenti del corso.
Le lezioni possono essere seguite online all'indirizzo webex https://unisi.webex.com/meet/luca.chiantini
Code : 2016226 - INTRODUCTORY COURSE FOR MSC DEGREES - Credit(s): 0
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Attenzione!
* Il corso si terrà nei giorni 12, 13, 14, 15, 16, 19, 20, 21, 22, 23, 29, 30 settembre 2022, ore 14-18.
Code : 2010384 - MATHEMATICAL LOGIC - Credit(s): 6
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Piattaforma per le lezioni online: GMeet
link: https://docenti.unisi.it/it/sorbi
(Click su: Lezioni a distanza)
Code : L99991 - TEST OF COMPETENCE IN ENGLISH – B2 - Credit(s): 3

Season: Second semester

Code : 2010381 - ADVANCED ALGEBRA - Credit(s): 6
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Le ore di ricevimento saranno comunicate a lezione.
Code : 2010383 - FOUNDATIONS OF MATHEMATICS - Credit(s): 6
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Code : 2010385 - MATHEMATICAL PHYSICS - Credit(s): 6
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Nessuna
Code : 2010387 - MATHEMATICAL STATISTICS - Credit(s): 6
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All'inizio del corso verranno richiamati i concetti base di teoria della probabilità e analisi dei segnali
Code : 2016224 - NUMERICAL MODELING - Credit(s): 6
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Code : 107459 - OPTIMIZATION - Credit(s): 6
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Year of study: 2 - Registered 2021/2022
Second cycle degree (Laurea Magistrale) in APPLIED MATHEMATICS

Season: Not available

Code : 2000041 - CHOSEN BY STUDENT YEAR II - Credit(s): 12
Code : 2000410 - FINAL EXAMINATION - Credit(s): 27

Season: Annuity

Code : 2010413 - ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING - Credit(s): 12
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Informazioni sul corso:
https://classroom.google.com/u/0/c/NTU0Njg4NDUwNTI5
classcode: 6zibd4t
Code : 2010416 - DIFFERENTIAL EQUATIONS AND COMPLEX SYSTEMS - Credit(s): 12
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Elearning website: https://elearning.unisi.it/course/view.php?id=8504
Code : 2010410 - FOUNDATIONS AND LANGUAGES FOR BIOINFORMATICS - Credit(s): 12
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Durante il corso, si terranno alcuni seminari a cura di esperti del settore, sia provenienti dall’ambito accademico che industriale.

IMPORTANTE: Data la situazione pandemica dovuta al COVID-19 è possibile che alcune (o tutte) le lezioni debbano essere erogate tramite didattica a distanza. Tutte lezioni in presenza verranno registrate utilizzando la piattaforma Google Meet

Season: First Semester

Code : 2000189 - BIOINFORMATICS - Credit(s): 6
More information and training material
During the course, some seminars will be held by academic and industrial Bioinformatics experts.
The course slides are available on the web page https://www3.diism.unisi.it/~monica/bioinfo.html

IMPORTANT: Lessons will be held in person (in the classroom/lab). However, it will be possible to access the recordings of the lessons relating to the A.Y. 2020-21, upon request to the teacher.
Code : 109149D - COMPLEX DYNAMIC SYSTEMS - Credit(s): 6
More information and training material
Course web site: https://elearning.unisi.it/course/view.php?id=4329

Virtual Room for streaming: http://meet.google.com/eft-ndeg-qkt

Students that have not yet received the unisi pass credentials are invited to contact Prof. Mocenni at chiara.mocenni@unisi.it
Code : 2000666 - DATA ANALYSIS - Credit(s): 6
Code : 2010393 - DISCRETE MATHEMATICS - Credit(s): 6
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Course attendance is required
Code : 2010391 - FORMAL SYSTEMS - Credit(s): 6
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i seminari copriranno aspetti specifici del programma. Lezioni on line: si accede negli orari previsti cliccando su "lezioni a distanza" della pagina docente https://docenti.unisi.it/it/pianigiani
Registrazioni, slides, dispense sono disponibili alla pagina del corso nella piattaforma Moodle.
Code : 2010392 - GRAPH THEORY - Credit(s): 6
More information and training material
Materiale didattico:
https://nuvola.unisi.it/index.php/apps/files/?dir=/&fileid=1561594
Metodi didattici:
Lezioni in presenza dell’insegnante e lezioni a distanza nella giulia simi’s Personal Room attraverso il link
https://unisi.webex.com/meet/giulia.simi
Code : 2000174 - INFORMATION THEORY - Credit(s): 6
Code : 2000185 - MACHINE LEARNING - Credit(s): 6

Season: Second semester

Code : 109148D - ARTIFICIAL INTELLIGENCE - Credit(s): 6
Code : 2013578 - BIG DATA - Credit(s): 6
Code : 2010415 - DATA AND FINANCIAL 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/siada
Module II
Lectures will start on March 5, 2021, Friday, at 9.30.
Virtual rooms for lectures:
Tuesday, h. 8.30-10.00: https://meet.google.com/pdt-oexw-ugy?hs=122&authuser=0
Thursday, h. 12.00-13.30: https://meet.google.com/csm-xvfx-vmk?hs=122&authuser=0
Friday, h. 8.30 -11.45: https://meet.google.com/phj-xgty-ozn?hs=122&authuser=0
Code : 2010417 - DIFFERENTIAL EQUATIONS - Credit(s): 6
Code : 2010394 - EDUCATIONAL MATHEMATICS - Credit(s): 6
More information and training material
Chiarimenti informazion posso essere richiesti contattando direttamente il docente :
mariotti21@unisi.it
Code : 2010398 - FUZZY AND REAL TIME MODELING - Credit(s): 6
More information and training material
http://elearning.unisi.it/moodle
Code : 2012372 - GAME THEORY - Credit(s): 6
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Course web site:
Code : 2000207 - MODELS AND LANGUAGES FOR BIOINFORMATICS - Credit(s): 6
Code : 2010348 - MODELS FOR FINANCIAL APPLICATIONS - Credit(s): 6
Code : 2010399 - MULTILINEAR GEOMETRY - Credit(s): 6
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l'esame finale è solo orale e consiste di una presentazione su un argomento proposto dal docente