Formation of Competencies in the Field of Databases of Students of the Information Profile

2022

Closed access Metadata (CSL-JSON)
DOI 10.52209/1609-1825_2022_4_320
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

In the modern world, parallel computing has become a mandatory part of the field of programming and computational mathematics. The article describes the existing types of parallel computing. The focuses on the ability to create programs for the parallel solution of information processing problems in databases as mandatory conditions for the formation of the subject competence of students of the information profile. The author considers some methodological methods of teaching students parallel programming, contributing to the formation of their parallel style of thinking and acquiring practical skills in organizing parallel computing in a database in the process of subject training at a university. A characteristic feature of the application of these training methods is the logic between the sections where user preparation for working with databases is implemented and the sections focused on mastering the basics of parallel computing