Curriculum on Self-Organizing Networked Systems
From Self-Organization Wiki
Contents
- 1 Final Result
- 1.1 Core Courses
- 1.1.1 Introduction to Self-Organizing Networked Systems
- 1.1.2 Dynamic Systems (Lecture and Lab)
- 1.1.3 Network Theory (Lecture and Exercises)
- 1.1.4 Information Theory and Coding (Lecture and Exercises)
- 1.1.5 Advanced Stochastics (Lecture and Exercises)
- 1.1.6 Intelligent Systems (?)
- 1.1.7 Modeling and Simulation
- 1.1.8 Control Theory
- 1.2 Catch-up Courses
- 1.1 Core Courses
- 2 Group 1: Bauschert, Bettstetter, Pletzer, Quaritsch, Yanmaz
- 3 Group 2: Anton, Manfred, Felix, Johannes,Alain
- 4 Curriculum table
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)
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
Control 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
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Group 2: Anton, Manfred, Felix, Johannes,Alain
All courses should specifically deal with applications towards SOS.
Curriculum table
| 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 |
