Difference between revisions of "Curriculum on Self-Organizing Networked Systems"
From Self-Organization Wiki
(→Dynamic Systems (Lecture and Lab)) |
(→Network Theory (Lecture and Exercises)) |
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====Network Theory (Lecture and Exercises)==== | ====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)==== | ====Information Theory and Coding (Lecture and Exercises)==== | ||
Revision as of 10:56, 16 July 2009
Contents
Final Result
Introduction to Self-Organizing Systems
- Part I: Methodology and theory.
- Part II: Case studies. This is 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)
Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz
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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 |
|
