Subjects AY 2020-2021
Elenco degli insegnamenti attivi che sono erogati nell'anno accademico
Second cycle degree (Laurea Magistrale) in APPLIED MATHEMATICS
Season: Not available
- Code : 2000040 - CHOSEN BY STUDENT YEAR I - Credit(s): 6
Season: First Semester
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Code : 2010382 -
ADVANCED GEOMETRY -
Credit(s): 6
More information and training material
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 : 2010383 -
FOUNDATIONS OF MATHEMATICS -
Credit(s): 6
More information and training material
Lessons will begin on Thursday 1 October at 10.15 in room 15, face to face and online (https://meet.google.com/fgc-kjtz-amf).
Lecture notes by the teacher:https://drive.google.com/file/d/1qJDBpFE5V0RUpiX1Xgy4S0v61H7ZEvsm/view?u...
Euclid's Elements:
https://drive.google.com/file/d/1V3Q9FPIV9Vnyh0YaIZHvPbxyNyw5sGFr/view?u...
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Code : 2010384 -
MATHEMATICAL LOGIC -
Credit(s): 6
More information and training material
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
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Code : 2010381 -
ADVANCED ALGEBRA -
Credit(s): 6
More information and training material
Le ore di ricevimento saranno comunicate a lezione.
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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 : 2010385 -
MATHEMATICAL PHYSICS -
Credit(s): 6
More information and training material
A causa dell'emergenza Covid-19 le lezioni si terranno on-line a partire da giovedì 4 marzo 2021 tramite la piattaforma google meet all'indirizzo
https://meet.google.com/yob-sdxh-cif
nei giorni
mercoledì 10:15 - 11:45
giovedì 14:30 - 16:00Si prega di iscriversi al moodle del corso
https://elearning.unisi.it/course/view.php?id=5461 -
Code : 2010387 -
MATHEMATICAL STATISTICS -
Credit(s): 6
More information and training material
All'inizio del corso verranno richiamati i concetti base di teoria della probabilità e analisi dei segnali
Le lezioni possonio essere seguite online su Gmeet al seguente indirizzo: https://meet.google.com/mnq-mcth-nmr
Si ricorda di accedere con la mail istituzionale dell'Università
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Code : 2010388 -
NUMERICAL ANALYSIS -
Credit(s): 6
More information and training material
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Code : 107459 -
OPTIMIZATION -
Credit(s): 6
More information and training material
La stanza webex per lo svolgimento delle lezioni è:
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
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Code : 2010413 -
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING -
Credit(s): 12
More information and training material
Dettagli sul corso si trovano a https://sites.google.com/site/sienamachinelearning/
Lezioni on-line a https://meet.google.com/xji-iwex-jvw
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Code : 2010416 -
DIFFERENTIAL EQUATIONS AND COMPLEX SYSTEMS -
Credit(s): 12
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
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Code : 2010410 -
FOUNDATIONS AND LANGUAGES FOR BIOINFORMATICS -
Credit(s): 12
More information and training material
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
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Code : 2000189 -
BIOINFORMATICS -
Credit(s): 6
More information and training material
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:
meet.google.com/oor-pkzu-mdi -
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
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Code : 2010393 -
DISCRETE MATHEMATICS -
Credit(s): 6
More information and training material
Course attendance is required
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Code : 2010391 -
FORMAL SYSTEMS -
Credit(s): 6
More information and training material
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
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Code : 2000666 -
DATA ANALYSIS -
Credit(s): 6
More information and training material
More info about the course are available in the web pages:
http://www.dii.unisi.it/~control/siada -
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
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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
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Code : 2012372 -
GAME THEORY -
Credit(s): 6
More information and training material
Course web site:
- Code : 2000207 - MODELS AND LANGUAGES FOR BIOINFORMATICS - Credit(s): 6
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Code : 2010348 -
MODELS FOR FINANCIAL APPLICATIONS -
Credit(s): 6
More information and training material
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 : 2010399 -
MULTILINEAR GEOMETRY -
Credit(s): 6
More information and training material
l'esame finale è solo orale