Master
2021/2022
Research and Design Seminar "Linguistic Tools for Solving Business Puzzles"
Type:
Compulsory course (Applied Linguistics and Text Analytics)
Area of studies:
Fundamental and Applied Linguistics
Delivered by:
School of Foreign Languages
When:
1 year, 2-4 module
Mode of studies:
offline
Open to:
students of one campus
Master’s programme:
Прикладная лингвистика и текстовая аналитика
Language:
English
ECTS credits:
8
Contact hours:
96
Course Syllabus
Abstract
“Project seminar” represents an intense multi-functional course with tangible progress. Starting with gathering data online and offline followed with data analysis, students will have to publish results of their work online using WordPress and Tilda. The course presupposes constant interaction with enterprises and work on cases based on real-life day-to-day tasks of modern business.
Learning Objectives
- the development of skills based on qualitative and quantitative methods and techniques that allow to evaluate the characteristics of various communicative situations of political discourse;
- the development of skills concerning corpus and other computer methods and techniques that allow to evaluate the characteritics of various communicative situations of political discourse;
- the development of skills using qualitative and quantitative methods and techniques that allow to evaluate individual style features (idiostyle features) of communicants in political discourse;
- 4. training of masters specializing in political linguistics, to do independent research design and organizational work.
Expected Learning Outcomes
- Using computer tools, making a transition from qualitative to quantitative methods
- Using multimedia kits in active learning and project activities
- Using statistics tools to study textual information
Course Contents
- Part 1. Corpus theory, corpus and computer linguistic methods
- Part 2. Statistical and probability methods for of speech analysis
- Part 3. Fundamentals of the use of ICT in research
Assessment Elements
- Project Part 1 Use of corpora
- Project Part 2 Using statistics
- Project Part 3 Presentation
Interim Assessment
- 2021/2022 4th module0.3 * Project Part 1 Use of corpora + 0.3 * Project Part 2 Using statistics + 0.4 * Project Part 3 Presentation
Bibliography
Recommended Core Bibliography
- Груздев, А. В. Прогнозное моделирование в IBM SPSS Statistics, R и Python: метод деревьев решений и случайный лес : руководство / А. В. Груздев. — Москва : ДМК Пресс, 2018. — 642 с. — ISBN 978-5-97060-539-4. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/123700 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
- Кацко И.А., Бондаренко П.С., Горелова Г.В. - Теория вероятностей и математическая статистика - КноРус - 2019 - ISBN: 978-5-406-06704-8 - Текст электронный // ЭБС BOOKRU - URL: https://book.ru/book/930219
Recommended Additional Bibliography
- Chapman, S. J. (2018). Review of Discovering Statistics Using IBM SPSS Statistics, 4th Edition. Journal of Political Science Education, 14(1), 145–147. https://doi.org/10.1080/15512169.2017.1366328