Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
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Article Number | 12151 | |
Number of page(s) | 12 | |
Section | Environmental Education and Training of Ecologists | |
DOI | https://doi.org/10.1051/e3sconf/202127312151 | |
Published online | 22 June 2021 |
The course of cognitive linguistics in the curriculum of the master’s degree programme on digital humanities
Southern Federal University, Bolshaya Sadovaya str., 105\42, Rostov-on-Don, Russia, 344006
* Corresponding author: esmilkevich@sfedu.ru
The Master’s Degree Programme “Digital technologies in philology. Computer linguistics” at Southern Federal University, Russia, Rostov-on-Don, offers innovative multi-disciplinary courses based on the ideology of Digital Humanities. It combines knowledge from various sciences which complement each other in digital research. Cognitive linguistics is interdisciplinary in its essence as it makes use of different sciences, such as philosophy, linguistics, psychology, neuroscience, anthropology, mathematical statistics and others in order to explain the workings of our mind. This humanitarian science widely implements in its linguistic inquiry technologies, methods and tools from other related spheres. All these make it important to incorporate the academic course of cognitive linguistics into the Master’s Degree Programme. To better benefit the Programme the course is divided into two parts, theoretical and practical. During the course the students get knowledge of basic assumptions in cognitive linguistics, which help to set their minds in ‘cognitive linguistics’ thinking. Further course-based experience enables students to carry out linguistic research applying modern methods of corpus analysis, cognitive analysis, introspection and other big data tools. The practical part is based on a definite algorithm of steps, which help to conduct multidisciplinary analysis and easy to follow in the students’ independent research.
© The Authors, published by EDP Sciences, 2021
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.
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