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