Headings of the journal
"Educational Resources and Technologies"

Annotation: School education is the Foundation of the higher school. Article analyses the level of school education in Russia and some Western countries and its influence on the development of the higher school.

Annotation: The paper discusses the main elements of the theory of bioinspired search for optimal solutions. An original memetic algorithms combining local search, cooperation and competition. Experiments for NP-hard optimization problems have shown that using the developed theory, these problems are solved quickly, reliably and accurately

Annotation: The principles, models, methods, algorithms and techniques described examination of large-scale investment projects of reconstruction of the transport corridor are considered. They are illustrated by the example of technological and price auditing complex project - reconstruction, maintenance and development of the infrastructure of East railways Russia - Trans-Siberian and BAM. During the audit, benchmarking is used - search and analysis of similar projects of the constituent their programs implemented in domestic and international market. Describes the methods of examination of compliance cost activities and programs of the project of reconstruction of the transport corridor costs with respect to domestic and foreign counterparts.

Annotation: The purpose of this article is to provide guidance on designing and developing an e-learning course. An approach to solving the problems of generation and understanding of scientific text and multimedia of the e-learning course in cognitive-discursive paradigm. Proposed criteria, characterizing the e-learning system as a special type of text. Present proposals for architectonics of e-learning course, takes into consideration individual learner’s preferences. Describes the tasks for further research.

Annotation: The methods of processing incomplete and inconsistent information in such subsystems of intel-ligent decision support systems as a decision searching subsystem of acquiring and storing knowledge are considered. In the decision searching subsystem, the main stress is made on the application of argumentation with justification degrees. In the acquiring and completion subsystem, the generalization problem in conditions of inconsistent and incomplete data is solved. For data generalization, the algorithm based on the rough set theory is developed. Research of noise influence on the work of the suggested generalization algorithm is carried out. The results of program modelling are presented.