Бакалавриат
2026/2027
Научно-исследовательский семинар "Цифровые инструменты и количественные методы в лингвистике"
Статус:
Курс обязательный (Иностранные языки и межкультурная коммуникация)
Кто читает:
Школа иностранных языков
Где читается:
Факультет гуманитарных наук
Когда читается:
2-й курс, 1-3 модуль
Охват аудитории:
для своего кампуса
Язык:
английский
Кредиты:
3
Контактные часы:
50
Course Syllabus
Abstract
Digital and Quantitative Tools for Linguistic Research introduces students to the quantitative and digital methods increasingly central to contemporary linguistic inquiry. The course develops both theoretical understanding and practical skills, enabling students to apply quantitative methods as well as AI-driven tools to the analysis of language data across a range of text types. Structured across three modules, the course moves from theoretical grounding in computational linguistics and basic statistical measures, through digital quantitative tools, AI and NLP concepts, to the production of independent AI-enhanced research in line with academic discourse conventions. Students will learn to critically select and apply quantitative methods and digital tools at each stage of the linguistic research process, starting from data collection and analysis to the communication of findings in academic discourse.
Learning Objectives
- The course aims to provide basic understanding of modern linguistic research methods, to teach students how to plan and conduct linguistic research using contemporary quantitative approaches and digital tools, and to develop their capacity to analyze and communicate research results.
Expected Learning Outcomes
- Students correctly apply the quantitative analysis methods, covered in the course, in practice and explain the use of these methods.
- Student utilizes AI tools to linguistic research and text analysis in order to produce and present academic findings.
- Student applies the theoretical, technological, and ethical foundations of AI, and critically evaluate the reliability of AI-generated information, including detecting misinformation and bias.
- Student uses AI tools to support key stages of research (source searching, citation, gap identification, literature analysis) and effectively present findings through structured, well-visualized academic communication.
- Student applies principles of academic/scientific writing across the full research process (formulating a topic and research question; reviewing literature and describing methodology, etc.)
Course Contents
- Fundamentals of Quantitative Linguistics
- Foundations of AI and its applications in linguistic research
- Basics of academic research writing and AI-assisted research tools
Assessment Elements
- Active participation
- Project
- Discussion
- Quiz
- LMS Portfolio
- Final Project
- Pitch
- Group Written Work
Interim Assessment
- 2026/2027 1st module0.5 * Active participation + 0.5 * Project
- 2026/2027 3rd module0.25 * Discussion + 0.1 * Pitch + 0.15 * LMS Portfolio + 0.15 * Group Written Work + 0.2 * Final Project + 0.15 * Quiz
Bibliography
Recommended Core Bibliography
- 50 steps to improving your academic writing : study book, Sowton, C., 2012
- Academic writing : a handbook for international students, Bailey, S., 2011
- Artificial intelligence : the basics, Warwick, K., 2012
- Digital humanities in practice, , 2012
- Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
- Osondu, O. (2021). A First Course in Artificial Intelligence. Bentham Science Publishers Ltd.
- Strongman, L. (2013). Academic Writing. Newcastle upon Tyne: Cambridge Scholars Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=816736
- Terras, M. M., Nyhan, J., & Vanhoutte, E. (2013). Defining Digital Humanities : A Reader. Farnham, Surrey, England: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=608888
- Слуднева, Л. В. The Basics of Academic Writing : учебное пособие / Л. В. Слуднева. — Иркутск : ИрГУПС, 2022. — 88 с. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/342107 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
Recommended Additional Bibliography
- A companion to digital humanities, , 2004
- A guided tour of artificial intelligence research. Vol. 1: Knowledge representation, reasoning and learning, , 2020
- Longley Arthur, P., & Bode, K. (2015). Advancing Digital Humanities - Research Methods Theories. Australia, Australia/Oceania: Palgrave Macmillan Ltd. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.E27A6773