Difference between revisions of "Curriculum on Self-Organizing Networked Systems"

Revision as of 11:19, 16 July 2009

Final Result

Core Courses

The following courses are mandatory:

Introduction to Self-Organizing Networked Systems

• Part I: What is a self-organizing system? Methodology and theory. Links to following courses.
• Part II: Case studies. A ring lecture with speakers from different universities and different fields.

Dynamic Systems (Lecture and Lab)

Content: similar to "Nonlinear Dynamics and Chaos" by Steven H. Strogatz

Network Theory (Lecture and Exercises)

Content: Networks from the real world. Network topology: Graph theory basics, random graphs, phenomena small wold and scale-freeness. Network functions/processes/algorithms: E.g. search, percolation.

Information Theory and Coding (Lecture and Exercises)

Advanced Stochastics (Lecture and Exercises)

Content: Selected topics from the following fields: Stochastic Processes. Statistical Physics.

Intelligent Systems (?)

Content: Game theory, neural networks, machine learning

Catch-up Courses

Depending on the background of the student, she or he attends a subset of the following courses:

Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz

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Group 2: Anton, Manfred, Felix, Johannes,Alain

All courses should specifically deal with applications towards SOS.

Curriculum table