Curriculum on Self-Organizing Networked Systems

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

Textbooks:

• 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 (?)

Game theory: Cooperation (Prisoneer's Dilemma), economic behavior

Neural networks: introduction to biological neural networks, Artificial Neural Networks, topologies (Multilayer, recurrent, fully meshed), Self-Organizing Feature Maps, spiking neural networks, emergent patterns in ANN

Machine learning: Genetic algorithms, simulated anneahling, Sintflut algorithm, rule-based learning, bayesian networks

Algorithms and 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

Contents: Introduction and overview. Radio propagation. Coding, modulation, and duplexing. Multiple access and cellular concept. Medium access control (MAC) protocols. Wireless LAN 802.11. Network architecture and mobility protocols. Security in mobile networks. Multihop networks. Economic, health, and social aspects.

Group Work

Curriculum table

Subject	Type	g1 grad	g2 und.grad	g2 grad	g2 grad spec.	g3	g4
Dynamical Systems	Lecture	X		X
Graph and Network Theory		X
Optimization		X
Probability and Stochastic		X
Information Theory	Lecture			X
Algorithms 1	Lecture & Lab			X
Algorithms 2	Lecture & Lab			X
Distributed Algorithms	X
Game Theory	X
Numerical Simulations	Lecture & Labs			X
Modeling and Simulation	Lecture & Labs	X
Topics course SO in nature/society	Lecture			X
Network 1	X				X
Network 2	X				X
Statistical physics 1 & 2					X
Embedded Systems					X
Sensors and Robotics					X
Calculus 1 & 2	Lecture		X
Statistics	Lecture		X
Diff. Equations	Lecture		X
Linear Algebra	Lecture		X
Scientific Programming	Lecture	X	X
Natural sciences	Lecture		X
Mobile&Wireless Systems		X
Sensor Networks		X
Peer-to-Peer Networks		X
Information Theory and Coding		X
Protocol Engineering		X
Physics		bacc
Applied Mathematics		bacc
Biology		bacc							} Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz [[]] Group 2: Anton, Manfred, Felix, Johannes,Alain All courses should specifically deal with applications towards SOS.