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 | Oct 3, 2022 | Jan 27, 2023 |
| Secondo semestre | Mar 6, 2023 | Jun 16, 2023 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering 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.
Should you have any doubts or questions, please check the Enrolment FAQs
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 enrolment year.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| 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.
Advanced database & information systems (2022/2023)
Teaching code
4S009020
Teacher
Coordinatore
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
Secondo semestre dal Mar 6, 2023 al Jun 16, 2023.
Learning objectives
The aim of the course is to allow students to acquire in-depth knowledge of the methodologies and tools necessary to manage large amounts of data in new database systems not based on the relational model (we will therefore consider systems based on semi-structured, object-oriented models, NoSQL and models with extensions for including time and space dimension). In particular, the systems that allow to store data produced by sensors and mobile devices will be analyzed so that a correct integration of these new data sources with the business information system is possible. At the end of the course, the student will be able to design and query non-traditional databases with tools of the NoSQL approach.
Prerequisites and basic notions
Basic knowledge of linear algebra, logic and programming. Knowledge of the relational model, SQL-2 query language.
Program
The course aims to provide the theoretical basis for the management of heterogeneous and distributed data:
• Fundamentals: data modeling, query languages, access structures (index)
• Distributed systems: distributed and parallel architectures for data management, transactions in distributed systems.
• New technologies for data management. NoSQL systems: semi-structured and document-based model, data design with complex structure, UML for the design of complex data, time and space dimension in complex data.
• Data integration: basic notions
Didactic methods
Teaching methods: lectures, classroom exercises with the teacher, teaching material (slides) and further exercises available on the eLearning platform, reception at the times indicated on the teacher's web page.
Learning assessment procedures
Written exam on the entire program and project on a specific NoSQL technology. The written test and the presentation of the project can take place on different days and also in different sessions and without any preferential order.
Evaluation criteria
To pass the exam, students will have to demonstrate that: - they have understood the concepts underlying the theory of relational databases and NoSQL of their design and implementation on real systems - be able to present their arguments in a precise and organic without digressions - knowing how to apply the knowledge acquired to solve application problems presented in the form of exercises, questions and projects.
Criteria for the composition of the final grade
The final grade is obtained from the arithmetic average between the project grade and the written grade.
Exam language
english
Bibliography
Type D and Type F activities
The educational activities of type D are chosen by the student, those of type F are further knowledge useful for entering the world of work (internships, soft skills, project works, etc.). According to the Didactic Regulations of the Course, some activities can be chosen and included autonomously in the booklet, others must be approved by a special committee to verify their consistency with the study plan. Type D or F educational activities can be covered by the following activities.
1. Teachings taught at the University of Verona.
Include the teachings listed below and/or in the Course Catalogue (which can also be filtered by language of delivery via Advanced Search).
Booklet entry mode: if the teaching is included among those listed below, the student can include it autonomously during the period in which the study plan is open; otherwise, the student must submit a request to the Secretariat, sending the form to carriere.scienze@ateneo.univr.it during the period indicated.
2. CLA certificate or language equivalency.
In addition to those required by the curriculum, the following are recognized for those matriculated from A.Y. 2021/2022:
- English language: 3 CFUs are recognized for each level of proficiency above the one required by the course of study (if not already recognized in the previous course of study).
- Other languages and Italian for foreigners: 3 cfu are recognized for each proficiency level starting from A2 (if not already recognized in the previous study cycle).
These cfu will be recognized, up to a maximum of 6 cfu in total, as type F if the teaching plan allows, or as type D. Additional elective credits for language knowledge may be recognized only if consistent with the student's educational project and if adequately justified.
Those enrolled until A.Y. 2020/2021 should consult the information found here.
Booklet entry mode: request the certificate or equivalency to the CLA and send it to the Student Secretariat - Careers for career entry of the exam, via email: carriere.scienze@ateneo.univr.it
3. Soft skills
Discover the training paths promoted by the University's TALC - Teaching and learning center, intended for students regularly enrolled in the academic year of course delivery https://talc.univr.it/it/competenze-trasversali
Booklet entry mode: the teaching is not expected to be included in the curriculum. Only after obtaining the Open Badge, the CFUs in the booklet will be automatically validated. The registration of CFUs in career is not instantaneous, but there will be some technical time to wait.
4. Stage/internship period
In addition to the CFUs required by the curriculum (check carefully what is indicated on the Didactic Regulations): here information on how to activate the internship.
Teachings and other activities that can be entered autonomously in the booklet
Modules not yet included
Career 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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
| Domain Adaptation | Computing methodologies - Machine learning |
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
