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

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(Final Result)
(Final Result)
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== Final Result==
 
== Final Result==
  
=== Core Courses ===
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=== Mandatory Core Courses ===
  
 
====Introduction to Self-Organizing Systems====
 
====Introduction to Self-Organizing Systems====
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====Information Theory and Coding (Lecture and Exercises)====
 
====Information Theory and Coding (Lecture and Exercises)====
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=== Catch-up Courses ===
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Depending on the background of the student, she or he attends a subset of the following courses:
  
 
== Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz ==
 
== Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz ==

Revision as of 11:02, 16 July 2009

Final Result

Mandatory Core Courses

Introduction to Self-Organizing 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)

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

[[Curriculum-so-work.jpg]]


Group 2:

All courses should specifically deal with applications towards SOS.

Group ??

Subject Type g2 und.grad g2 grad g2 grad spec. Var4
Dynamical Systems Lecture X 3ECTS
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