Open AccessCurriculum optimization algorithm using genetic programming methods
Author(s) -
А. К. Гуц,
A. A. Senkovskaya,
I. I. Furayeva
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1791/1/012075
Subject(s) - curriculum , schedule , computer science , process (computing) , genetic algorithm , order (exchange) , mathematical optimization , mathematics education , machine learning , pedagogy , mathematics , sociology , programming language , finance , economics , operating system
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.