Performance Analysis

This course applies probability theory and the theory of stochastic processes to the design and performance evaluation of complex networks such as man-made networks as telecommunication, computer, electric and transportation networks as well as biological, brain and social networks. The class will cover main theories for stochastic processes: Poisson processes; discrete and continuous Markov processes. Main applications include queuing theory; random walks; information diffusion & epidemic modelling on networks.

The final grade of the course consists of the following components:

• Written Exam (weighting 100%)

Final grade calculation = 1.0 * Written Exam

A passing final grade for the course can only be earned when for all components at least a 5.0 is earned, and the weighted final grade is at least a 5.8.

In case of an insufficient final result, repair options may exist in accordance with Article 17A, Times and number of examinations, sub 1, of the Teaching and Examination Regulations, for:

• Written Exam: Resit

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 2, sub 5).