Search
The first part of the course deals with complex network structures, their characteristics identification, with recognition of both structural static and dynamic patterns, and anomaly detection. The second part of the course is focused on specification methods of static and dynamic behavior and their verification. The use of the methods is demonstrated on examples dealing with network application issues. The special treatment is dedicated not only to network and cloud applications, but also to possibilities of diagnostic process automation. The students gain sufficient skills in seminars where they solve practical problems in digital network domain.
The course introduces mathematical, theoretical, and practical foundations required for solving of diagnostic system problems that can be modeled using complex network structures.
CTU evaluation table: