Marie Curie Initial Training Networks

 

The online course 'Distributed Computing, Peer-to-Peer and GRIDS' is organised by KTH . The learning goals of this course is to provide iSocial Fellows with basic concepts and principles of large-scale dynamic distributed systems and distributed algorithms. The course is taught in seminar style, and several case studies are included.

More information on the online course can be found here

 

 

The online course 'Advanced Topics in Distributed Systems' is organised by KTH . The objective of the course is to deeper understand and study the behavior of the networks arising within Distributed Systems.

More information for the online course can be found here

uninsubrialogo2

 

The online course 'Privacy-Aware Data Management' will be organised by University of Insubria during the Spring semester 2015.

More information for the online course can be found here

uninsubrialogo2

 

The online course 'Data and Network Security' was organised by University of Insubria during the Fall semester 2014.

More information for the online course can be found here

University of Cyprus

 

The online course: 'Special Topics in Computer Science (Online Social Networks)' is a Ph.D. and Advanced M.Sc course that was organised by UCY during the Spring semester 2014. The course objectives are the survey of recent scientific literature of Online Social Networking Systems, the study of basic concepts, principles, techniques and scientific results that shape the analysis and evolution of Online Social Networking Systems. The course included paper assignements, authoring of scientific survey paper and one semester team-project that gives the student the opportunity to gain a deeper understanding on the online social networking systems.

More information for the online course can be found here

logo-KTH

 

The online course 'Distributed Systems' was organised by KTH during the Fall semester 2013. The course included programming assignments that gives the student an opportunity to implement distributed algorithms and gain a deeper understanding of them.

More information: online course, modules