Networks and Epidemics

An important goal of network modeling is to understand how the structure of a network affects epidemic processes taking place on the network.

The course covers different types of random graph models that aim to describe complex network structures. The basic theory of branching processes, which is an important tool for many part of the course, is presented at first. The random graph models that are treated in the course include the Erdös-Renyi graph, the configuration model, inhomogeneous graphs and preferential attachment, but other more specific models may also be included. Some basic models for the spread of epidemic diseases are treated, with specific emphasis on models where the spread occurs in an environment with an underlying graph structure.

The course consists of one element.


Teaching Format

Teaching consists of lectures and exercise sessions.


Assessment

Assessment takes place through written take-home examinations and oral presentation of seminar exercises.

Examiner

A list of examiners can be found on

Exam information

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.

Articles and chapters handed out during the course.

List of course literature Department of Mathematics

Course reports are displayed for the three most recent course instances.







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