Credits: 5

Schedule: 02.11.2016 - 12.12.2016

Teaching Period (valid 01.08.2018-31.07.2020): 

I-II (Autumn)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

This course will provide students with fundamentals of complex network theory, together with skills for applying this knowledge in to practical network analysis.

Content (valid 01.08.2018-31.07.2020): 

Introduction to complex networks, fundamentals and basic concepts. Fundamental models: random networks, small-world networks, and scale-free networks. Network measures and analysis. Weighted networks. Social networks. Clustering and communities. Multilayer and temporal networks.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Grades are given on the basis of weekly exercises and project work, there is no exam. Exercises and project work require Python programming - you do not need to be familiar with Python beforehand, we will give tutorials. Some programming skills are nevertheless required.

Substitutes for Courses (valid 01.08.2018-31.07.2020): 

Replaces the former course BECS-114.4150 Complex Networks.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Description