Course catalogue

The course is an in-depth study of the analysis and operation of technological, economic and social networks. The course material aims to analyze different types of networks such as wireless, internet, content distribution, world wide web, social networking, and online economics. It refers to specific contexts in the analysis of networks such as Aggregation and Impact, Distributed Coordination, Feedback Control and Strategic Balance. It utilizes modeling languages and analysis mechanisms from four fields of applied mathematics, namely Graph Theory, Optimization Theory, Game Theory and Learning Theory. In this sense, the course utilizes knowledge from previous general and specific courses of directions in order to examine networks between devices and between people, illustrating important ideas and useful methodologies for the two types of networks. It introduces notable parallels to the underlying analytical models as well as key differences based on the specificities of each region.

Upon successful completion of this course the student:

• will be able to understand the basic and critical characteristics of each type of network;
• has knowledge and can use the tools and techniques of analysis and modeling for any type of network;
• will be able to distinguish the key roles in a real or a networking study and to assess the role of the actors involved in implementation;
• will be able to collaborate with his/her fellow students to create and present integrated papers that include elements of study, analysis and implementation.

Not required.

Greek (English for Erasmus students)