Curriculum optimization algorithm using genetic programming methods

dc.contributor.author	Guts, A K
dc.contributor.author	Senkovskaya, A A
dc.contributor.author	Furayeva, I I
dc.date.accessioned	2025-01-17T05:46:38Z
dc.date.available	2025-01-17T05:46:38Z
dc.date.issued	2021
dc.identifier.issn	1742-6596
dc.identifier.other	doi:10.1088/1742-6596/1791/1/012075
dc.identifier.uri	http://rep.enu.kz/handle/enu/20830
dc.description.abstract	Recently, optimization has become an important aspect of educational process management. The goal of the optimization process is usually reduced to reducing the total amount of the pedagogical load of the university, as well as to the formation of an optimal schedule of training sessions with the existing classroom fund. This article discusses the main aspects of the formation of curricula in order to optimize the educational process. The problem of formation of educational flows is considered with a combination of disciplines of general education and majors. A solution is proposed to optimize the curriculum in order to minimize educational flows and the total teaching load of departments using genetic programming methods.	ru
dc.language.iso	en	ru
dc.publisher	Journal of Physics: Conference Series	ru
dc.relation.ispartofseries	1791 (2021) 012075;
dc.title	Curriculum optimization algorithm using genetic programming methods	ru
dc.type	Article	ru