Social network analysis is an emerging field in modern science. En route to accumulating knowledge and gaining understanding about social network structure and behavior, researchers across multiple domains engage in theoretical and applied investigations. This course is intended to review key concepts and findings with network perspectives on communicating and organizing. It will rely on scholarship on the science of networks in communication, computer science, economics, engineering, organizational science, life sciences, physical sciences, political science, psychology, and sociology, with the purpose of taking an in-depth look at theories, methods, and tools to examine the structure and dynamics of networks.

Period
11-08-2014 - 15-08-2014 (1 weeks)

Target group
ince the course is aimed at developing a systematic understanding and analysis of networks and processes over networks, the students will be expected to work with mathematical models and analytical reasoning. Basic knowledge of matrix algebra, statistical hypothesis testing, linear regression, and probability theory is required. Knowledge of stochastic processes and optimization techniques is encouraged but not required.

Course aim
The most important aims of the Summer School are to develop post-graduates scientific readiness and to offer students the possibility to study in a modern, scientific environment and to create connections to the international science community.



Credits
3.0 ECTS creditsObligatory attendance at lectures and demostrations, and home work.

Course fee
EUR 0[Convert to USD]Participating the Summer School is free of charge, but student have to cover the costs of own travel, accommodation and meals at Jyvskyl.

Course leader
Coordinator: Dr. Alexander Semenov (University of Jyvskyl, Finland)Lecturer: Dr. Alexander Nikolaev (University at Buffalo, the State University of New York, United States)

Scholarships
The 24th Jyvskyl Summer School is not able to grant any Summer School students financial support. In order to ensure your participation, we recommend that you take steps to secure your own funding, for example, by turning first to your home institution

University of Jyvaskyla Faculty of Mathematics and Science and Faculty of Information Technology
Address: Jyvaskyla Summer School, Faculty of Mathematics and Science P.O.Box 35 (YK312), FIN-40014 University of Jyvaskyla, Finland
Postal code: FIN-40014
City: Jyvaskyla
Country: Finland
Website: http://www.jyu.fi/summerschool
E-mail: jss@jyu.fi
Phone: +358505818351