Difference between revisions of "Curriculum on Self-Organizing Networked Systems"
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====Dynamic Systems (Lecture and Lab)==== | ====Dynamic Systems (Lecture and Lab)==== | ||
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====Network Theory (Lecture and Exercises)==== | ====Network Theory (Lecture and Exercises)==== |
Revision as of 11:54, 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)
Information Theory and Coding (Lecture and Exercises)
Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz
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 |
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