A course on Network Science, including network formation models, structural patterns, and dynamic processes.

This project is maintained by chatox

Network Science Course

Instructor: Carlos Castillo

These are materials for an undergraduate course on Network Science, and include two-hour lectures and two-hour practice sessions every week. They were developed for second year students of the bachelor degree on Mathematical Engineering on Data Science at Universitat Pompeu Fabra, Barcelona.

Contents of this repository

:construction: These materials should not be considered final until the end of the course.

Material specific to UPF students:

This course was adapted for online learning in 2020. The main changes are that theory lessons are divided into smaller modules, there is only one midterm exam instead of two, no two-people assignments are requested, and individual practices are a little bit longer but more time is given to complete them.


The course, particularly the first half, follows the book and course on complex networks by Albert-László Barabási.

I am thankful to the course’s teaching assistants Fedor Vityugin (2020), Alexander Gomez (2018-2020) and Alexandra Matreata (2018) at UPF, and the feedback from Vicenç Gómez on an early version of this course.

Course materials are available under a Creative Commons license unless specified otherwise.