| Issue |
E3S Web Conf.
Volume 224, 2020
Topical Problems of Agriculture, Civil and Environmental Engineering (TPACEE 2020)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 7 | |
| Section | Green IT Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202022403014 | |
| Published online | 23 December 2020 | |
Modeling in solving application-oriented tasks as the basis for the formation of professional competence of future computer science and information technology teacher
Institute of Natural, Mathematical and Engineering Sciences Lipetsk State Pedagogical University named after P.P. Semenov-Tyan-Shanskiy, Lipetsk, Russia
* Corresponding author: kononovazoy@gmail.com
The article is devoted to the study of matters in solving applied tasks in computer science by using methods of mathematical and computer modeling. These methods allow to create an innovative approach to solving research tasks that are the basis for the development of key competencies of the future teacher of computer science. The article provides an example of building a model of “predator”-“prey”, which includes: a general description of the model, stating the problem, compilation of a mathematical model for dealing with the task, transferring a mathematical model into a computer one. Modeling in the field of dealing with applied tasks is actively used while teaching students at Lipetsk State Pedagogical University named after P.P. Semenov-Tyan-Shanskiy.
© The Authors, published by EDP Sciences, 2020
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.