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OPTIMIZING UNIVERSITY TRAINING STRUCTURE: A DETERMINISTIC DYNAMIC MODEL

A. Shorikov, G. Agarkov, A. Sudakova

First published: 2017https://doi.org/10.5593/sgemsocial2017/14/S04.095View metrics

Abstract

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 for 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.

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Publication details

Title
OPTIMIZING UNIVERSITY TRAINING STRUCTURE: A DETERMINISTIC DYNAMIC MODEL
Authors
A. Shorikov, G. Agarkov, A. Sudakova
Proceedings
4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publisher
STEF92 Technology
Year
2017
Pages
735-742
SWS Citekey
Shorikov20174735742
ISSN
2367-5659
ISBN
978-619-7408-16-4
Language
en
Publication type
Proceedings Paper
Keywords
deterministic approachoptimisationhigher educationlabour market
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