Lectures are focused on the theoretical background of properties, models, and analytical methods so that students are able to decide what purpose the particular methods are suitable for, how to set and apply them, what outcomes can be obtained through their application and how these outcomes can be interpreted.
Seminars are focused on experiments with suitable data sets, implementations of method prototypes, experimenting with tools and libraries for analysis and visualization of network data, and evaluating the experiments' results.
After completing the course, the student will understand the principles that affect the properties of simple and multilayer networks that change over time, will be able to apply methods related to the analysis of these properties, and prototype implementation of selected methods. The student will also be able to use tools and libraries to analyze simple and multilayer networks' development over time and visualize it. After applying the methods of network analysis and their development, the student will be able to assess the relevance of the results and find an understandable interpretation.