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Course Syllabus

Master 2023/2024

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 Fundamental and Applied Linguistics
Where: Faculty of Humanities (Nizhny Novgorod)
When: 1 year, 1-4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Галочкин Александр Евгеньевич, Товкес Мария Юрьевна, Yulia V. Balakina, Konstantin Bannikov, Mariya Khudyakova, Леонтович Ольга Аркадьевна, Фатикова Анна Павловна, Ерышева Мария Евгеньевна
Master’s programme: Прикладная лингвистика и текстовая аналитика
Language: English
ECTS credits: 9
Contact hours: 140

Course Syllabus

Full Syllabus

Abstract

Project seminar Linguistic Tools for Solving Business Puzzles 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

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

Expected Learning Outcomes

  • Able to choose tools, modern technical means and information technologies to process information for the assigned scientific task in management
  • Using multimedia kits in active learning and project activities
  • Know how to build graphs, how to analyse Big Data using them
  • Use statistics tools to study textual information
  • Use computer tools, making a transition from qualitative to quantitative methods
  • Be able to cope with stress
Course Contents

Course Contents

  • Teambuilding
  • cross-cultural communication
  • Technical writing
  • Statistics
  • Data visualization
  • Stress/time management
  • Conversational design
  • Neural networks
  • Web-design
Assessment Elements

Assessment Elements

  • non-blocking Homework
  • non-blocking Homework
  • non-blocking Homework
  • non-blocking Homework
Interim Assessment

Interim Assessment

  • 2023/2024 2nd module
    1 * Homework
  • 2023/2024 4th module
    0.3 * Homework + 0.4 * Homework + 0.3 * Homework
Bibliography

Bibliography

Recommended Core Bibliography

  • Darling, J. R., & Heller, V. L. (2011). The Key for Effective Stress Management: Importance of Responsive Leadership in Organizational Development. Organization Development Journal, 29(1), 9–26. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=64362493
  • Gill, A., & Hooper, D. (2020). Integrating Conversational Analysis and Dialogic Reflection within Reflective Practice. Iranian Journal of Language Teaching Research, 8(2), 1–23.
  • Harris, R. A. (2005). Voice Interaction Design : Crafting the New Conversational Speech Systems. San Francisco, CA: Morgan Kaufmann. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=189655
  • Ian Pouncey and Richard York - Beginning CSS : Cascading Style Sheets for Web Design - John Wiley & Sons, Incorporated, 2011-466 - Текст электронный - https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=693510
  • Iliinsky, N. P. N., & Steele, J. (2010). Beautiful Visualization : Looking at Data Through the Eyes of Experts. Beijing: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=415208
  • Jason Bell. (2020). Machine Learning : Hands-On for Developers and Technical Professionals: Vol. Second edition. Wiley.
  • Joan H. Johnston, Henry L. Phillips, Laura M. Milham, Dawn L. Riddle, Lisa N. Townsend, Arwen H. DeCostanza, … Sean M. Fitzhugh. (2019). A Team Training Field Research Study: Extending a Theory of Team Development. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2019.01480
  • Rohatgi, V. K., & Saleh, A. K. M. E. (2015). An Introduction to Probability and Statistics (Vol. 3rd edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1050364
  • Seemon Thomas. (2014). Basic Statistics. [N.p.]: Alpha Science Internation Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1663598

Recommended Additional Bibliography

  • Michael Jay Katz. (n.d.). FROM RESEARCH TO MANUSCRIPT From Research to Manuscript A Guide to Scientific Writing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.527E83F3