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Вызовы цифровизации строительной отрасли: подготовка будущих магистров-градостроителей

Authors: Mironova, L.I.; Nekrasov, A.V.; Burtsev, A.G.;

Вызовы цифровизации строительной отрасли: подготовка будущих магистров-градостроителей

Abstract

Миронова Людмила Ивановна, доктор педагогических наук, кандидат технических наук, доцент, действительный член Академии информатизации образования, профессор кафедры гидравлики Института строительства и архитектуры, Уральский федеральный университет имени первого Президента России Б.Н. Ельцина (Екатеринбург), mirmila@mail.ru Некрасов Александр Васильевич, кандидат технических наук, доцент, доцент кафедры гидравлики Института строительства и архитектуры, Уральский федеральный университет имени первого Президента России Б.Н. Ельцина (Екатеринбург), a.v.nekrasov@urfu.ru Бурцев Александр Геннадьевич, кандидат архитектуры, доцент кафедры городского строительства Института строительства и архитектуры, Уральский федеральный университет имени первого Президента России Б.Н. Ельцина (Екатеринбург), a.g.burtsev@urfu.ru. L.I. Mironova, mirmila@mail.ru A.V. Nekrasov, a.v.nekrasov@urfu.ru A.G. Burtsev, a.g.burtsev@urfu.ru Ural Federal University named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia Статья посвящена разработке новой образовательной программы «Геоинформатика и обработка данных в градостроительстве» для будущих магистров, обучающихся по магистерской программе «Городское строительство и развитие инфраструктур» в Институте строительства и архитектуры Уральского федерального университета. Новая программа основана на использовании методов статистического анализа пространственных данных для решения прикладных градостроительных задач. Программа ориентирована на использование в условиях цифровизации строительной отрасли. В структуру контента учебно-методического комплекса дисциплины входят: методические рекомендации по его использованию в учебном процессе для преподавателя и для студента; теоретический материал учебного курса, список основной и дополнительной литературы для изучения дисциплины; комплекс лабораторных работ с методическими указаниями для их выполнения; контрольно-измерительные материалы для проверки уровней усвоения учебного материала при проведении традиционных видов контроля: экзаменов, контрольных работ, зачетов, курсовых работ. The article is devoted to the development of a new educational program “Geoinformatics and data processing in urban planning” for future masters students studying under the master's program “Urban construction and infrastructure development” at the Institute of Construction and Architecture of the Ural Federal University. The new program is based on the use of methods of statistical analysis of spatial data aimed at resolving applied urban planning problems. The program is focused on the use of digitalization in the construction industry. The structure of the educational and methodological content of the discipline includes: methodological recommendations for its use in the educational process for the teacher and the student; theoretical material of the training course; a list of basic and additional literature for studying the discipline; a set of laboratory work with guidelines for their implementation; control and measuring materials for checking the levels of assimilation of educational material when conducting traditional types of control: exams, tests, tests, term papers.

Keywords

educational and methodological complex, геоинформатика, undergraduates, цифровая экономика, учебно-методический комплекс, digitalization of construction, geoinformatics, магистранты, УДК 378.14.69.07, градостроительство, digital economy, цифровизация строительства, urban planning

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green