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.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Master's Degree in Computer Engineering for Intelligent Systems - Enrollment from 2025/2026The 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
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2° Year activated in the A.Y. 2025/2026
| Modules | Credits | TAF | SSD |
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3 modules among the following
(A.A. 2025/2026 Internet of medical things not activated)| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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3 modules among the following
(A.A. 2025/2026 Internet of medical things not activated)| Modules | Credits | TAF | SSD |
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4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics
- 2nd year: Advanced control systemsLegend | 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.
Data management and machine intelligence - DATA MANAGEMENT SYSTEMS (2024/2025)
Teaching code
4S012352
Teacher
Credits
6
Also offered in courses:
- Advanced database & information systems of the course Master's degree in Computer Engineering for Robotics and Smart Industry
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
Semester 2 dal Mar 3, 2025 al Jun 13, 2025.
Courses Single
Authorized
To show the organization of the course that includes this module, follow this link: Course organization
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.
Bibliography
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 optional 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.
Exam language
English
