Revision as of 13:22, 16 July 2009

Curriculum

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

Modeling and Simulation (?)

Algorithms & Data structures

Lecture and Lab.

Content: Sorting and searching, tree-based structures, graph algorithms (over), recursive algorithms, complexity classes and computational effort.

Textbooks:

• The Algorithm Design Manual by Steven S. Skiena
• Introduction to Algorithms by Charles E. Leiserson, Ronald L. Rivest, Clifford Stein

Control Theory

control loop, stability, distributed control, event-based control, MIMO control systems

Catch-up Courses

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

Specialization 1: Communication Networks

Mobile and Wireless Systems

Sensor Networks

Peer-to-Peer Networks

Protocol Engineering

Group Work

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