DATA SCIENCE AND COMPLEXITY

Channel 1
WALTER QUATTROCIOCCHI Lecturers' profile

Program - Frequency - Exams

Course program
1 General Overview: Introduction to key concepts, including social media mining and graph theory. 2 Complex Networks: Exploration of complex networks such as random and scale-free networks. 3 Basic Computer Science: Deep dive into computer architectures, algorithms, and databases. 4 Basics of R: Comprehensive learning of R for data manipulation, visualization, and analysis. 5 Basic and Advanced Analytics: Hands-on experience with essential data science techniques and understanding privacy issues related to data. 6 Network Analytics: Practical network analysis using iGraph. 7 Project Mentoring: Application of learned concepts in a practical project with guidance from the instructor.
Prerequisites
N/A - nessun prerequisito
Books
Materiali proposti dal docente
Frequency
Lezione Frontale ed Esercitazioni
Exam mode
project presentation
Lesson mode
Lezione Frontale ed Esercitazioni
MATTEO CINELLI Lecturers' profile

Program - Frequency - Exams

Course program
Detailed Program: The course is strategically structured into six units: 1 General Overview: Introduction to key concepts, including social media mining and graph theory. 2 Complex Networks: Exploration of complex networks such as random and scale-free networks. 3 Basic Computer Science: Deep dive into computer architectures, algorithms, and databases. 4 Basics of R: Comprehensive learning of R for data manipulation, visualization, and analysis. 5 Basic and Advanced Analytics: Hands-on experience with essential data science techniques and understanding privacy issues related to data. 6 Network Analytics: Practical network analysis using iGraph. 7 Project Mentoring: Application of learned concepts in a practical project with guidance from the instructor.
Prerequisites
Basic notions of mathematics and statistics
Books
- Wickham, H., & Grolemund, G. (2017). R for data science (Vol. 2). Sebastopol, CA: O'Reilly. - Newman, M. (2018). Networks. Oxford university press. - Network Science, A.L. Barabàsi http://networksciencebook.com
Frequency
Classes in person
Exam mode
Oral exam
Bibliography
- Wickham, H., & Grolemund, G. (2017). R for data science (Vol. 2). Sebastopol, CA: O'Reilly. - Newman, M. (2018). Networks. Oxford university press. - Network Science, A.L. Barabàsi http://networksciencebook.com
Lesson mode
In person lessons
  • Lesson code10600478
  • Academic year2025/2026
  • CourseManagement of technologies, innovation and sustainability
  • CurriculumTecnologie e management dell'innovazione
  • Year2nd year
  • Semester1st semester
  • SSDINF/01
  • CFU9