AIMS AND CONTENT

TEACHING METHODS

Class, project and outside preparation

SYLLABUS/CONTENT

• Graphs models (random graphs, small-world graphs, scale-free networks).
• Algorithms and analysis of large size networks.
• Attacks and vulnerabilities of networks
• Diffusion of ideas, virus, epidemic models
• Case studies: the web, social media

TEACHERS AND EXAM BOARD

LESSONS

EXAMS

EXAM DESCRIPTION

Oral examination and practicals discussion