Omfattning: 5

Tidtabel: 10.01.2019 - 14.02.2019

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

III (Spring)

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

This course will provide students an overview on mathematical topics and tools in network science. The students will develop skills in doing pen-and-paper calculations and an understanding of analytical methods that are common in network science.

Innehåll (är i kraft 01.08.2018-31.07.2020): 

Mathematical methods and their use in networks science. Topics are mostly related to large random graphs and include  common approximations and assumptions  in network science, network models,  component size distributions, percolation,  branching processes, excess degree distributions, probability generating functions, master  equations, rate equations, growing network models, processes on networks, exponential  random graphs, and stochastic block  models. The project can be on a recent research topic.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

Grades (1-5) are given on the basis of weekly mandatory exercises and project work, there is no exam.

Förkunskaper (är i kraft 01.08.2018-31.07.2020): 

Basic mathematics courses, basics of network science (CS-E5740 Complex Networks), basics on stochastic processes (MS-C2111 Stochastic Processes).

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Beskrivning

Anmälning och tillläggsinformation