Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
---|---|---|
Article Number | 03015 | |
Number of page(s) | 6 | |
Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
DOI | https://doi.org/10.1051/e3sconf/202339003015 | |
Published online | 01 June 2023 |
Features of practical training of IT - specialists for the agro-industrial complex
1 Krasnoyarsk State Agrarian University, 90, Mira Avenue, Krasnoyarsk, 660049, Russia
2 Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russia
* Corresponding author: nvtitov@yandex.ru
The article is devoted to the methodology of conducting for future specialists in the field of applied informatics at the Krasnoyarsk State Agrarian University. Its relevance is due to the fact that the training of such specialists should be accompanied by the preparation of a number of course projects and complex course work for agricultural enterprise. In our opinion, when completing course projects, students should rely on real data on the object of study. According to the method of organization, the practice should be of a mixed nature, both stationary and in the form of excursions. In the stationary phase of the practice, students, together with the teacher, analyze theoretical issues on building databases and computer networks, on presenting an enterprise on the Internet, on developing websites and general issues related to the information security of an agro-industrial enterprise. At the visiting stage of the practice, students collect real data about the enterprise, which will then be used in course projects. This approach greatly increases students' understanding of the essence and specifics of their future specialty and understanding of the development of information systems for a particular agricultural enterprise.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.