Open AccessProfessional competence development when teaching computational informatics.
Author(s) -
Makhabbat Revshenova,
Е.Ы. Бидайбеков,
В С Корнилов,
G.B. Kamalova,
Shirinkyz Shekerbekova,
Seitbekova Gulzhanff,
Kanat Sabrayev
Publication year - 2021
Publication title -
cypriot journal of educational sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.22
H-Index - 5
eISSN - 1305-905X
pISSN - 1305-9076
DOI - 10.18844/cjes.v16i5.6360
Subject(s) - computational thinking , informatics , constructive , computer science , competence (human resources) , graduate students , computational problem , mathematics education , algorithm , artificial intelligence , mathematics , pedagogy , psychology , programming language , social psychology , process (computing) , electrical engineering , engineering
Bachelors and graduate students are offered in the course of teaching computational informatics, the ability to solve non-standard mathematical problems, which, as a rule, are not included in the content of teaching computational informatics. The article aimed to analyze the application effectiveness of non-standard mathematical problems in the course of teaching computational informatics, elaboration of constructive computational solution algorithms of inverse problems for differential equations, during which the bachelors and graduate students develop own professional competencies. The research conducted a review of previous literature on the topic. Formulation of the inverse problem for differential equations for the investigation of which the computational mathematics finite difference methods are applied, is presented. In the course of investigation, it was revealed that at elaborating the constructive computational algorithms of its solution, the bachelors and graduate students develop not only fundamental knowledge in the field of applied and computational mathematics, computational informatics methods, but also develop the professional competences, including computational thinking.
Key words: professional competence; computational informatics; computational mathematics methods; non-standard.