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

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(Curriculum)
(Curriculum table)
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!  Subject
 
!  Subject
 
!  Type
 
!  Type
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!  g1 grad
 
!  g2 und.grad
 
!  g2 und.grad
 
!  g2 grad
 
!  g2 grad
 
!  g2 grad spec.
 
!  g2 grad spec.
Var4
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g3
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!  g4
 
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|  Dynamical Systems
 
|  Dynamical Systems
 
|  Lecture
 
|  Lecture
 
|   
 
|   
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|  X
 
|  X
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 +
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 +
 
|   
 
|   
|  3ECTS
 
 
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| Information Theory  
 
| Information Theory  
 
| Lecture
 
| Lecture
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| X
 
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| Algorithms 1 & 2  
 
| Algorithms 1 & 2  
 
| Lecture & Lab
 
| Lecture & Lab
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| X
 
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| Numerical Simulations  
 
| Numerical Simulations  
 
| Lecture & Labs
 
| Lecture & Labs
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| X
 
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| Topics course SO in nature/society
 
| Topics course SO in nature/society
 
| Lecture
 
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| X
 
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| Network 1 & 2
 
| Network 1 & 2
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|  
 
|  
 
|  
 
| X
 
| X
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|
 +
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| Statistical physics 1 & 2
 
| Statistical physics 1 & 2
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|
 
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| X
 
| X
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| Sensors and Robotics
 
| Sensors and Robotics
 
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| X
 
| X
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| Calculus 1 & 2
 
| Calculus 1 & 2
 
| Lecture  
 
| Lecture  
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| X
 
| X
 
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| Statistics
 
| Statistics
 
| Lecture  
 
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| X
 
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| Diff. Equations
 
| Diff. Equations
 
| Lecture  
 
| Lecture  
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| X
 
| X
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| Linear Algebra
 
| Linear Algebra
 
| Lecture  
 
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| X
 
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| Programming
 
| Programming
 
| Lecture  
 
| Lecture  
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| X
 
| X
 
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| Natural sciences
 
| Natural sciences
 
| Lecture  
 
| Lecture  
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| X
 
| X
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Revision as of 14:04, 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

Control Theory

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

[[Curriculum-so-work.jpg]]


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

All courses should specifically deal with applications towards SOS.

Curriculum table

Subject Type g1 grad g2 und.grad g2 grad g2 grad spec. g3 g4
Dynamical Systems Lecture X
Information Theory Lecture X
Algorithms 1 & 2 Lecture & Lab X
Numerical Simulations Lecture & Labs X
Topics course SO in nature/society Lecture X
specified classes (choose two)
Network 1 & 2 X
Statistical physics 1 & 2 X
Embedded Systems X
Sensors and Robotics X
Undergraduate
Calculus 1 & 2 Lecture X
Statistics Lecture X
Diff. Equations Lecture X
Linear Algebra Lecture X
Programming Lecture X
Natural sciences Lecture X