Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
Primo semestre LM | Sep 30, 2024 | Dec 23, 2024 |
Periodo generico | Oct 1, 2024 | May 31, 2025 |
Secondo semestre LM | Feb 17, 2025 | May 23, 2025 |
Session | From | To |
---|---|---|
Sessione invernale LM | Jan 7, 2025 | Feb 14, 2025 |
Sessione estiva LM | May 26, 2025 | Jul 11, 2025 |
Sessione autunnale LM | Aug 25, 2025 | Sep 19, 2025 |
Session | From | To |
---|---|---|
Sessione autunnale a.a. 2023/2024 | Dec 4, 2024 | Dec 6, 2024 |
Sessione invernale a.a. 2023/2024 | Apr 2, 2025 | Apr 4, 2025 |
Sessione estiva a.a. 2024/2025 | Sep 3, 2025 | Sep 5, 2025 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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2° Year It will be activated in the A.Y. 2025/2026
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Type D and Type F activities
Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").
Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.
Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.
Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dalla Commissione didattica e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.
Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.
Scopri i percorsi formativi promossi dal Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali
CONTAMINATION LAB
Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/it/clabverona
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ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
1° 2° | B-education: Sound ideas | D |
Cristina Florio
(Coordinator)
|
1° 2° | Ciclo tematico di conferenze “Italia nel mondo” - 2024/2025 | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Ethical finance | D |
Giorgio Mion
(Coordinator)
|
1° 2° | Generative AI (Artificial Intelligence) for Business Communication | D |
Massimo Melchiori
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Methods and tools for literature reviews | D |
Cristina Florio
(Coordinator)
|
1° 2° | Sustainable business model frameworks | D |
Vincenzo Riso
(Coordinator)
|
1° 2° | Experience 3 Days as a Manager | D |
Nicola Cobelli
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
1° 2° | Methods and tools for empirical research in management | D |
Cristina Florio
(Coordinator)
|
1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Plan your professional future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Marketing plan | D |
Fabio Cassia
(Coordinator)
|
1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Artificial Intelligence, AI and Business Operations: Methods and Techniques | D |
Lapo Mola
(Coordinator)
|
1° 2° | The business consultant accountant | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Relational soft skills for professional presence | D |
Federico Brunetti
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | French B1 | D | Not yet assigned |
1° 2° | French B2 | D | Not yet assigned |
1° 2° | English C1 | D | Not yet assigned |
1° 2° | Russian B1 | D | Not yet assigned |
1° 2° | Russian B2 | D | Not yet assigned |
1° 2° | Spanish B1 | D | Not yet assigned |
1° 2° | Spanish B2 | D | Not yet assigned |
1° 2° | German B1 | D | Not yet assigned |
1° 2° | German B2 | D | Not yet assigned |
Logistic optimization (2024/2025)
Teaching code
4S012439
Teacher
Coordinator
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/09 - OPERATIONS RESEARCH
Period
Secondo semestre LM dal Feb 17, 2025 al May 23, 2025.
Courses Single
Authorized
Learning objectives
Aim of this course is to lead students to be able to understand the basic notions and tools of Operations Research in support of the strategic and operational planning of companies, with a particular emphasis to the optimisation of cost and margins regarding the logistics of transport of goods.
At the end of the course, students will have to show the knowledge and the ability to understand the main optimisation methods of Operations Research. They will also have to show the ability to understand, analyse and implement, also by means of specific software, the optimisation models suitable for solving relevant decision-making problems in the field of the logistics of transport of goods.
Prerequisites and basic notions
Basic knowledge of analysis (numbers, sets, functions), algebra and calculus (equations and unknowns, solution of systems of linear equations), analytical geometry (Cartesian coordinates, straight line and plane equations), linear algebra (vectors and matrices) calculus differential and integral.
Program
The course program will focus on optimization techniques for logistics and supply chain management problems. Various practical applications will be addressed in the form of case studies. In particular, we will initially focus on the basics of optimization and mathematical modeling of a logistics problem, providing various examples; we will then address more specific problems such as: the localization of nodes, the management of warehouses, transport, vehicle routing problems and supplier management. The various problems will be analyzed through the guided use of dedicated software both in terms of mathematical optimization aspects and data analysis and forecasts.
In what follows the detail of the course contents:
*Introduction to logistics optimization: Overview of problems in logistics and supply chain management; introduction to optimization techniques; applications of logistics optimization.
*Linear programming and optimization paradigms: basic notions of Linear Programming, notes on solution methods for PL (simplex), Mixed Integer Linear Programming, modeling techniques, mathematical formulation of constraint structures and notable problems. Multi-Criterion and Multiobjective Optimization, Lagrangian relaxation.
*Localization of logistics nodes: Qualitative and quantitative localization methods, continuous and discrete localization problems, multi-product and coverage problems.
*Warehouse management: Performance metrics and decision issues, warehouse design and equipment selection, storage and picking strategies.
*Transportation Management: Transportation modes and classification of transportation problems, least cost flow problems, traffic assignment and network design.
*Vehicle Routing Problems (VRP): Traveling Salesman Problem (TSP) and VRP variants, capacity and time constraints in vehicle routing, real-time vehicle routing problems.
*Integrated optimization problems: Integrated localization and routing problems, inventory-routing problems.
*Supplier management: Supplier search and selection criteria, supplier evaluation and decision making, supplier evaluation and decision making.
*Forecasting and data analysis in logistics: Qualitative and quantitative methods for data analysis, time series analysis and forecasting.
*Software tools for logistics optimization: Introduction and use of software dedicated to logistics optimization (e.g., Python programming language, and the Gurobi solver).
Optional topics:
- Stochastic models in logistics (stochastic optimization techniques, queuing theory and Markov decision processes).
- Heuristic and meta-heuristic methods, genetic algorithms, simulated annealing and applications.
Bibliography
Didactic methods
Lectures with slides, teacher's notes and hand-on sessions in the classroom.
Learning assessment procedures
Written and oral with the possibility of supplementing the examination with a project and exercises during the course.
To pass the exam, students must demonstrate that:
- They have understood the principles underlying optimization techniques applied to logistics problems.
- They are able to present arguments on the topics of the course in a precise and organic way.
- They know how to apply the knowledge acquired to solve application problems presented in the form of exercises, questions and projects.
Evaluation criteria
Discussed and agreed with the aim that they can be both fair and reasonable.
Criteria for the composition of the final grade
Average of written and oral mark, and possible integration of the grade with the carrying out of projects and exercises.
Exam language
Italiano
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainabilityCareer prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
The final exam consists of a paper in written form of at least 80 pages, exploring a topic of the student's choice relating to one of the subjects in the student's syllabus. The topic and title of the paper must be selected in agreement with a university lecturer from one of the SSDs included in the student's syllabus. The work must be developed under the guidance of the lecturer. The thesis is the subject of an oral presentation and discussion in front of a Degree Committee on one of the dates established explicitly in the calendar of teaching activities. In agreement with the Supervisor, the thesis may be written, and the discussion may take place in English.
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
Gestione carriere
Area riservata studenti
Career abbreviation
Those who already hold a university degree, have taken examinations as single courses or have interrupted a previous career due to resignation or forfeiture can have their career shortened and be admitted to the second year if they reach a minimum number of recognised CFUs.
Admission to a year after the first is possible through a competitive procedure; for further information, it is necessary to carefully consult the specific selection notice which can be found, similarly to that for admission to the first year, in the section Enrolment > How to enrol.
Modalità di frequenza, erogazione della didattica e sedi
Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.
Peraltro, come ulteriore servizio agli studenti, è altresì previsto che tali lezioni siano registrate e che le registrazioni vengano messe a disposizione sui relativi moodle degli insegnamenti, salvo diversa comunicazione del singolo docente.
La frequenza non è obbligatoria.
Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.
È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.
Le sedi di svolgimento delle lezioni e degli esami sono le seguenti