Program objectives (main principles) or thematic focus: The purpose of the edition is to highlight and discuss current research results in the field of information technology, as well as the practice of their application in solving economic, technological, and technical problems and development of methodologies and tools for the digital transformation of society.
The objectives of the edition are:
Identification of the constituent elements and structure of the impact of information technology on the innovative development of the country.
• Formulation of new ideas, principles, and hypotheses for solving modern problems in the field of information technology and presentation of constructive methods of their solution.
• Coverage of aspects of the development of theoretical bases of new information technology and their experimental verification. • Exchange of experience in the development and application of new models and methods of informatization.
Estimated frequency of edition: 2 times a year; volume – 12 printed sheets; publication format – A4.
Editorial office: Taras Shevchenko National University of Kyiv , Faculty of Information Technology.
Address: 24 Bogdan Havrylyshyn str., Kyiv city, 04116, Ukraine.
The founder of the edition: Taras Shevchenko National University of Kyiv .
Address: Ukraine, 01033, Kyiv city, 60 Volodymyrska str.
Identification code of the founder: USREOU 02070944.
Founded in 2021
Type of edition: journal.
Status of the edition: scientific, included in the Register of the Scientific Professional Journals of Ukraine, category «B» (Order of MESU №920 as of 26.06.2024).
Indexing the Journal:Google Scholar
Languages of the edition: in mixed languages (Ukrainian, English).
Sphere of distribution: national.
Category of readers: IT professionals, students, graduate students and researchers.
JOURNAL SECTIONS
- Software Engineering
- Smart systems and the Internet of Things
- Applied information systems and technology
- Network and internet technologies
- Knowledge engineering
- Artificial and computational intelligence
- Mathematical foundations of information technology
- Machine learning and pattern recognition
- Information analytics and data analytics
- Digital technologies of IT project management
All articles since 2021 (starting from the Volume 1) will have digital object identifier DOI.
ISSN:2788-6603