Network Science I

Network Science I
460-4141/01
čeština Network Science I
460-4141/02
angličtina

Summary

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.

Literature

[1] Barabási, L-A. (2016). Network science. Cambridge University Press, 2016.

Advised literature

[1] Zaki, M. J., Meira Jr, W. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge University Press.
[2] Newman, M. (2010). Networks: An Introduction. Oxford University Press.
[3] Leskovec, J., Rajaraman, A., Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press.

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Language of instruction	čeština, angličtina
Code	460-4141
Abbreviation	MAS I
Course title	Network Science I
Coordinating department	Department of Computer Science
Course coordinator	RNDr. Eliška Ochodková, Ph.D.