A deterministic dynamic model of optimizing university training structure Научная публикация
Журнал |
IFAC-PapersOnLine
ISSN: 2405-8963 |
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Вых. Данные | Год: 2018, Том: 51, Номер: 2, Страницы: 121-125 Страниц : 5 DOI: 10.1016/j.ifacol.2018.03.021 | ||
Ключевые слова | deterministic approach; higher education; labour market; optimization | ||
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Организации |
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Реферат:
The article explores the problem of optimising university training structure to increase focus on the labour market. The proposed solution is constructed using a deterministic approach in which the following vectors are formed: the phase vector, whose coordinates are the values of the parameters describing the training process in higher education institutions at a certain fixed point in time; the controlling action vector (control vector) that allows influencing (by means of funding, the school-leaving exam score required for admission and other parameters) the structure, volume and quality of university training on various degree courses (educational programs), as well as the corresponding deterministic restrictions. The construction of the optimisation model is realised in two stages. At the first stage, a discrete dynamic model is formed that describes the influence of the control vector on the parameters of the system parameters phase vector. At the second stage, restrictions are formed on the parameters of the mathematical model that take into account the labour market demand for university graduates, and the quality criteria (functionals) that allow evaluating the process under consideration at a set final point in time.
Библиографическая ссылка:
Shorikov A.F.
, Sudakova A.E.
, Agarkov G.A.
, Tarasyev A.A.
A deterministic dynamic model of optimizing university training structure
IFAC-PapersOnLine. 2018. V.51. N2. P.121-125. DOI: 10.1016/j.ifacol.2018.03.021 WOS Scopus OpenAlex
A deterministic dynamic model of optimizing university training structure
IFAC-PapersOnLine. 2018. V.51. N2. P.121-125. DOI: 10.1016/j.ifacol.2018.03.021 WOS Scopus OpenAlex
Идентификаторы БД:
Web of science: | WOS:000435693000022 |
Scopus: | 2-s2.0-85046699437 |
OpenAlex: | W2802144970 |