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.

• "It is a very interesting subject, and it seems very useful for data scientists." -- a student's evaluation from the 2021 edition
• "This has been by far my favorite subject in the degree and the one in which I've learned the most." -- a student's evaluation from the 2020 edition.
• "The most interesting subject so far ... the volume of work is quite a lot, but the topics are engaging." -- a student's evaluation from the 2019 edition.
• "By far, the most interesting and fun subject of the trimester!" -- a student's evaluation from the 2018 edition.

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

• 📈 Theory: slides for the theory part.
• 💻 Practicum: activities for practical sessions.
• 📁 Datasets: to be used during practical sessions.
• 📝 Exams from previous and current year.

Material specific to UPF students:

• 📜 Course presentation: general aspects of the course at UPF ("plan docente").
• 🎓 Evaluation rules for course at UPF.
• 📆 Calendar for course at UPF.

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.