Training of personnel in the field of STI
The All-Russian Institute of Scientific and Technical Information of the Russian Academy of Sciences transmits accumulated knowledge to a new generation of researchers and promotes the continuous professional development of practitioners.
Postgraduate study
Training of scientific and scientific-pedagogical personnel in the scientific specialty 2.3.8 — "Computer Science and information processes" (from 2022). The duration of full—time postgraduate studies is three years.
License No. 0151 dated 07/19/2012
Certificate of State accreditation No. 2191 dated 08/18/2016
Order of Rosobrnadzor No. 1139-06 dated 04/29/2022
DPO programs
Professional development on a contractual basis: deepening knowledge, developing competencies, modern approaches to professional tasks. The training is practical, and upon completion, a standard document is issued.
Professional developmentIntroduction to Computational Linguistics and machine translation
Professional developmentConceptual foundations of artificial intelligence
Professional developmentSources of scientific and technical information (STI)
Professional developmentQuality of scientific and technical information: criteria, assessment, management
Professional developmentIntelligent technologies for processing scientific and technical information
Professional developmentSystem analyst in the field of scientific and technical information
Professional developmentArtificial intelligence systems
Professional developmentModern digital content technologies
Professional developmentSchool of Scientific Writing
Professional developmentPatent research and competitive intelligence: methodology and practice for industry
Professional developmentSearch engines
Professional developmentA series of express courses on working with STI
Professional developmentExpert information systems
Professional developmentSources of scientific and technical information (by fields of knowledge, industries)
Professional developmentOSINT-scientific research technologies
Professional developmentBasics of data processing and visualization in Python
Professional developmentNumerical scientific data: sources, formats, copyrights, processing tools
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Tadjikistan
Turkmenistan
Uzbekistan