DIGITAL TRANSFORMATION AND DATA MANAGEMENT
Channel 1
FRANCESCO BELLINI
Lecturers' profile
Program - Frequency - Exams
Course program
Part 1 – Technologies
Introduction to information theory and data management
A brief (and incomplete) history of computing and data science
Data transmission networks
Cloud computing
Cybersecurity
Digital ledger techonologies
Immersive technologies
Artificial intelligence
Internet of things, cyberphisical systems and smart production
Digital transformation and smart city development
Smart transport
Part 2 – Tools
Big Data analytics
Business Intelligence
Data Mining
Machine learning
Part 3 – Digital Entrepreneurship
Digitally driven business strategies
Digitization in different industries: financial services, healthcare, production, public services
Case studies
Prerequisites
No special prerequisites are required although a basic knowledge of statistics and mathematics facilitates learning the course content.
Books
Textbook "Digital transformation and data management" Francesco Bellini, Fabrizio D’Ascenzo (edited by) - Pacini Editore 2020
Lesson slides
Bibliography for each lessons
Frequency
Test on part 2) Tools
Exam mode
Practical exam on Part 2 of the course programme; material available on Google classroom (10%). This part is not mandatory but allows to aspire to obtain the maximum grade; without the maximum grade obtainable is 27.
Oral exam on Part 1 of the course programme; book and material available on Google classroom (50%). Due to organizational needs, the oral test may be replaced by a written test.
Presentation and discussion of a project work (a research paper or a technology venture plan) that shows the use and the knowledge of the course topics and tools (40%). Prof. Bellini can reject the content of the paper if not in line with course program. Students have to submit the project work proposal by filling the Google form within 30 days before the expected exam date. Papers must be delivered at least 5 days before the exam date. Check on the news the info about the project work presentation.
Registration via InfoStud is mandatory.
Lesson mode
Classroom lectures and practice in the computer lab.
- Lesson code10589487
- Academic year2025/2026
- CourseEconomics and communication for management and innovation
- CurriculumSingle curriculum
- Year1st year
- Semester2nd semester
- SSDSECS-P/13
- CFU9