Orari Mathematics UniVR 2026/2027
Le lezioni del corso di laurea in Mathematics dell’Università degli Studi di Verona (UniVR), anno accademico 2026/2027: giorni, orari, aule e docenti. Scegli l’anno per vedere la tua settimana, o cerca un altro corso.
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Gli orari si aggiornano ogni 30 minuti dal servizio di Logistica dell’Università di Verona. Non c’è da registrarsi e non viene chiesto niente: si guarda e si va.
Orario delle lezioni
Orario settimanale delle lezioni di Mathematics — Università degli Studi di Verona (UniVR), anno accademico 2026/2027 (corso di laurea magistrale, 2 anni): orari disponibili per 2 annualità (1° e 2° anno), 20 insegnamenti in calendario, lezioni lunedì, martedì, mercoledì, giovedì e venerdì dalle alle . Qui sotto l’orario tipo di ogni anno; le date esatte, settimana per settimana, stanno nel calendario in cima.
Ultima modifica dell’orario rilevata:
1° Anno
| Ora | Lunedì | Martedì | Mercoledì | Giovedì | Venerdì |
|---|---|---|---|---|---|
| – Mathematical modelling in the sciences (seminar course) | – Computer science education | – Modern physics | – Partial differential equations | ||
| – Mathematics teaching and workshop – Numerical methods for science and engineering: hyperbolic pdes and parallel computing | – Mathematics teaching and workshop | – Homological algebra | – Foundations of data analysis | – Foundations of data analysis – Modern physics – Differential geometry | |
| – Mathematical finance – Logistic operation and supply chain | – Differential geometry | ||||
| – Statistical models for data science – Mathematical logic | – Numerical methods for science and engineering: hyperbolic pdes and parallel computing | – Numerical methods for science and engineering: hyperbolic pdes and parallel computing laboratory | – Applications of functional analysis – Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS – Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS – Introductory functional analysis | ||
| – Homological algebra – Statistical models for data science – Partial differential equations | |||||
| – Computational Game Theory – Mathematical finance – Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS – Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS – Applications of functional analysis – Introductory functional analysis | – Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS – Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS – Applications of functional analysis – Introductory functional analysis | – Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS – Introductory functional analysis | |||
| – Logistic operation and supply chain | |||||
Lunedì8 lezioni
- 10:30–12:30 Mathematics teaching and workshop
- 10:30–12:30 Numerical methods for science and engineering: hyperbolic pdes and parallel computing
- 12:30–14:30 Logistic operation and supply chain
- 12:30–14:30 Mathematical finance
- 14:30–16:30 Homological algebra
- 14:30–16:30 Partial differential equations
- 14:30–16:30 Statistical models for data science
- 16:30–18:30 Logistic operation and supply chain
Martedì10 lezioni
- 08:30–10:30 Mathematical modelling in the sciences (seminar course)
- 10:30–13:30 Mathematics teaching and workshop
- 13:30–15:30 Mathematical logic
- 13:30–15:30 Statistical models for data science
- 15:30–18:30 Applications of functional analysis
- 15:30–17:30 Computational Game Theory
- 15:30–18:30 Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS
- 15:30–18:30 Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS
- 15:30–18:30 Introductory functional analysis
- 15:30–17:30 Mathematical finance
Mercoledì8 lezioni
- 08:30–10:30 Computer science education
- 10:30–12:30 Homological algebra
- 12:30–14:30 Differential geometry
- 13:30–15:30 Numerical methods for science and engineering: hyperbolic pdes and parallel computing
- 15:30–18:30 Applications of functional analysis
- 15:30–18:30 Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS
- 15:30–18:30 Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS
- 15:30–18:30 Introductory functional analysis
Giovedì5 lezioni
- 08:30–10:30 Modern physics
- 10:30–12:30 Foundations of data analysis
- 13:30–15:30 Numerical methods for science and engineering: hyperbolic pdes and parallel computing laboratory
- 15:30–18:30 Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS
- 15:30–18:30 Introductory functional analysis
Venerdì8 lezioni
- 08:30–10:30 Partial differential equations
- 10:30–13:30 Differential geometry
- 10:30–13:30 Foundations of data analysis
- 10:30–13:30 Modern physics
- 13:30–15:30 Applications of functional analysis
- 13:30–15:30 Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSIS
- 13:30–15:30 Functional analysis INTRODUCTORY FUNCTIONAL ANALYSIS
- 13:30–15:30 Introductory functional analysis
2° Anno
| Ora | Lunedì | Martedì | Mercoledì | Giovedì | Venerdì |
|---|---|---|---|---|---|
| – Mathematical modelling in the sciences (seminar course) | – Computer science education | – Modern physics | – Partial differential equations | ||
| – Mathematics teaching and workshop – Numerical methods for science and engineering: hyperbolic pdes and parallel computing | – Mathematics teaching and workshop | – Homological algebra | – Foundations of data analysis | – Foundations of data analysis – Modern physics – Differential geometry | |
| – Mathematical finance – Logistic operation and supply chain | – Differential geometry | ||||
| – Statistical models for data science – Mathematical logic | – Numerical methods for science and engineering: hyperbolic pdes and parallel computing | – Applications of functional analysis | |||
| – Homological algebra – Statistical models for data science – Partial differential equations | |||||
| – Computational Game Theory – Mathematical finance – Applications of functional analysis | – Applications of functional analysis | ||||
| – Logistic operation and supply chain | |||||
Lunedì8 lezioni
- 10:30–12:30 Mathematics teaching and workshop
- 10:30–12:30 Numerical methods for science and engineering: hyperbolic pdes and parallel computing
- 12:30–14:30 Logistic operation and supply chain
- 12:30–14:30 Mathematical finance
- 14:30–16:30 Homological algebra
- 14:30–16:30 Partial differential equations
- 14:30–16:30 Statistical models for data science
- 16:30–18:30 Logistic operation and supply chain
Martedì7 lezioni
- 08:30–10:30 Mathematical modelling in the sciences (seminar course)
- 10:30–13:30 Mathematics teaching and workshop
- 13:30–15:30 Mathematical logic
- 13:30–15:30 Statistical models for data science
- 15:30–18:30 Applications of functional analysis
- 15:30–17:30 Computational Game Theory
- 15:30–17:30 Mathematical finance
Mercoledì5 lezioni
- 08:30–10:30 Computer science education
- 10:30–12:30 Homological algebra
- 12:30–14:30 Differential geometry
- 13:30–15:30 Numerical methods for science and engineering: hyperbolic pdes and parallel computing
- 15:30–18:30 Applications of functional analysis
Giovedì2 lezioni
- 08:30–10:30 Modern physics
- 10:30–12:30 Foundations of data analysis
Venerdì5 lezioni
- 08:30–10:30 Partial differential equations
- 10:30–13:30 Differential geometry
- 10:30–13:30 Foundations of data analysis
- 10:30–13:30 Modern physics
- 13:30–15:30 Applications of functional analysis
Insegnamenti
1° Anno
- Applications of functional analysisBaldo Sisto, Marigonda Antonio, Orlandi Giandomenico
- Computational Game TheoryCicalese Ferdinando
- Computer science educationSolitro Ugo
- Differential geometryBarbieri Anna, Mandini Alessia
- Foundations of data analysisAlbi Giacomo
- Functional analysis APPLICATIONS OF FUNCTIONAL ANALYSISBaldo Sisto, Marigonda Antonio, Orlandi Giandomenico
- Functional analysis INTRODUCTORY FUNCTIONAL ANALYSISBaldo Sisto, Marigonda Antonio, Orlandi Giandomenico
- Homological algebraMantese Francesca, Pavon Sergio
- Introductory functional analysisBaldo Sisto, Marigonda Antonio, Orlandi Giandomenico
- Logistic operation and supply chainGaudenzi Barbara
- Mathematical financeDi Persio Luca
- Mathematical logicSchuster Peter Michael
- Mathematical modelling in the applied sciences (seminar course)Orlandi Giandomenico
- Mathematics teaching and workshopAlbiero Andrea, Gregorio Enrico
- Modern physicsMonti Francesca
- Numerical methods for mathematical finance (seminar course)
- Numerical methods for science and engineering: hyperbolic pdes and parallel computingGaburro Elena
- Numerical methods for science and engineering: hyperbolic pdes and parallel computing laboratoryGaburro Elena
- Partial differential equationsFerraresso Francesco
- Statistical models for data scienceBoscolo Galazzo Ilaria, Di Persio Luca
2° Anno
- Applications of functional analysisBaldo Sisto, Marigonda Antonio, Orlandi Giandomenico
- Computational Game TheoryCicalese Ferdinando
- Computer science educationSolitro Ugo
- Differential geometryBarbieri Anna, Mandini Alessia
- Foundations of data analysisAlbi Giacomo
- Homological algebraMantese Francesca, Pavon Sergio
- Logistic operation and supply chainGaudenzi Barbara
- Mathematical financeDi Persio Luca
- Mathematical logicSchuster Peter Michael
- Mathematical modelling in the applied sciences (seminar course)Orlandi Giandomenico
- Mathematics teaching and workshopAlbiero Andrea, Gregorio Enrico
- Modern physicsMonti Francesca
- Numerical methods for mathematical finance (seminar course)
- Numerical methods for science and engineering: hyperbolic pdes and parallel computingGaburro Elena
- Partial differential equationsFerraresso Francesco
- Statistical models for data scienceBoscolo Galazzo Ilaria, Di Persio Luca
Dove si svolgono le lezioni
Le lezioni di Mathematics si tengono nelle sedi Borgo Roma - Ca' Vignal 2, Borgo Roma - Ca' Vignal 3 e Borgo Roma - Ca' Vignal 1.
- Aula G — Borgo Roma - Ca' Vignal 2
- Aula L — Borgo Roma - Ca' Vignal 2
- Aula 1.02 — Borgo Roma - Ca' Vignal 3
- Aula 1.01 — Borgo Roma - Ca' Vignal 3
- Aula M — Borgo Roma - Ca' Vignal 2
- Aula F — Borgo Roma - Ca' Vignal 1
- Aula T.05 — Borgo Roma - Ca' Vignal 3
- Aula D — Borgo Roma - Ca' Vignal 1
- Aula C — Borgo Roma - Ca' Vignal 1
- Aula I — Borgo Roma - Ca' Vignal 2
- T.02b — Borgo Roma - Ca' Vignal 3
- Auletta Atrio CV1 — Borgo Roma - Ca' Vignal 1
- Aula Alfa — Borgo Roma - Ca' Vignal 2
- Aula B — Borgo Roma - Ca' Vignal 1
- Aula FBorgo Roma - Ca' Vignal 1
- Aula H — Borgo Roma - Ca' Vignal 2
- Aula A
- Aula A — Borgo Roma - Ca' Vignal 1
Informazioni sull’orario
- Corso di laurea
- Mathematics — Università degli Studi di Verona (UniVR)
- Durata del corso
- Corso di laurea magistrale, 2 anni
- Area
- Informatica
- Anno accademico
- 2026/2027
- Annualità con orario
- 1° Anno, 2° Anno
- Giorni con lezioni
- Lunedì, Martedì, Mercoledì, Giovedì e Venerdì
- Fascia oraria
- dalle 08:30 alle 18:30
- Periodo
- primo semestre, lezioni pubblicate dal
Tutto su Mathematics
- Il corso di Mathematics: piano di studi, crediti e docenti
- Gruppi degli studenti di Mathematics
- Tasse universitarie: rate in base all’ISEE
Fonte e aggiornamento dei dati
I dati provengono dal servizio di Logistica dell’Università di Verona e vengono riletti ogni settimana. UniDomani è un’associazione studentesca indipendente e questa pagina non costituisce un canale ufficiale dell’Ateneo: prima di un esame o di un cambio d’aula conviene confrontare con la fonte. Scheda del corso sul sito dell’ateneo: corsi.univr.it.
Informazioni sul corso di Mathematics: piano di studi, crediti, docenti e gruppi.