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