Difference between revisions of "Curriculum on Self-Organizing Networked Systems"
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====Introduction to Self-Organizing Networked Systems==== | ====Introduction to Self-Organizing Networked Systems==== | ||
− | * Part I: What is a self-organizing system | + | * 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. | * Part II: Case studies. A ring lecture with speakers from different universities and different fields. | ||
Revision as of 12:06, 16 July 2009
Contents
Final Result
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)
Social Interactions
Content: Game theory, ...
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
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 |
|