Цифровые инструменты для коммуникации

Бакалавриат 2026/2027

Статус: Курс обязательный (Иностранные языки и межкультурная коммуникация)

Когда читается: 3-й курс, 2-4 модуль

Охват аудитории: для своего кампуса

Преподаватели: Осипов Даниил Владимирович

Язык: английский

Кредиты: 5

Контактные часы: 88

Full Syllabus Ask Question

Abstract

Digital Tools for Communication represents an advanced stage of professional training, designed to deepen students’ practical skills in utilizing modern digital platforms, services, and analytical tools for the design and execution of digital communication campaigns. Building upon the competencies acquired in Linguopragmatics in Social Media and the Research Seminar Digital Tools and Artificial Intelligence in Applied Linguistics, this discipline shifts the focus toward constructing comprehensive communication infrastructures, designing user experiences (UX), and automating interactions. Particular emphasis is placed on corporate messaging platforms and CRM systems as environments for professional interaction, which necessitate a strong command of specific digital business etiquette and the ability to coordinate remote teams. A critical aspect of the course is the development of systemic and algorithmic thinking. As a logical progression of the AI-related coursework initiated previously, students will learn to apply digital services and integrate large language models (LLMs) into routine workflows to establish unified, automated workspaces. The course also evaluates how user interfaces and selected digital tools impact the perception of transmitted messages. Given its practice-oriented nature, the curriculum requires the completion of both individual and group projects.

Learning Objectives

Develop systemic and algorithmic thinking applied to designing unified, automated communication workflows built around AI tools.
Build the ability to evaluate how interfaces and AI-mediated tools shape the perception, credibility, and effectiveness of transmitted messages.
Foster critical, ethical, and transparent use of AI in audience-facing communication, including awareness of hallucination, bias, and privacy risks.
Establish a minimal shared foundation in collaborative digital infrastructure (messengers, CRM, task trackers) needed for coordinated professional communication work.

Expected Learning Outcomes

Operates within a basic digital collaboration infrastructure (messengers, CRM, task trackers), applying minimal professional digital business etiquette.
Apply interface/UX principles to evaluate and design communication touchpoints, understanding how interface choices shape message perception.
Selects and justifies the appropriate neural-network-based tool(s) for a given communication task.
Selects and applies multimodal AI tools (text, image, voice/video generation) for communication content, consistent with brand voice.
Test an LLM-powered conversational agent or chatbot for a defined communicative purpose, including dialogue flow and fallback handling.
Coordinates individual and group project work, applying agreed etiquette, task-tracking, and reporting conventions.
Applies systemic and algorithmic thinking to model and automate communication workflows built around AI tools.
Designs and tests an LLM-powered conversational agent or chatbot for a defined communicative purpose, including dialogue flow and fallback handling.
Integrates LLMs, via APIs or no-code connectors, into a unified automated workspace spanning messengers, CRM, and content tools.
Uses AI-based tools for communication analytics: sentiment analysis, engagement prediction, and campaign optimization.
Identifies and mitigates risks of AI-assisted communication: hallucination, bias, privacy exposure, over-automation, and loss of brand voice.

Course Contents

Digital Collaboration Infrastructure (Foundations)
Interfaces & Message Perception
The Landscape of Neural Networks for Communication
Prompt Engineering for Communication Tasks
AI-Assisted Content & Message Generation
AI-assisted communication solutions
Conversational Design & Chatbot Architecture
Building & Testing an LLM-Powered Chatbot
Integrating LLMs into a Unified Automated Workspace
AI Tools for Communication Analytics
Ethics, Risk & Evaluation of AI-Generated Communication
AI-driven communication solution

Assessment Elements

Continuous assessment
Quiz
Case study
Individual work
Final project

Interim Assessment

2026/2027 3rd module
0.25 * Quiz + 0.25 * Case study + 0.25 * Final project + 0.25 * Continuous assessment
2026/2027 4th module
0.25 * Continuous assessment + 0.25 * Quiz + 0.25 * Case study + 0.25 * Final project

Bibliography

Recommended Core Bibliography

9781838820046 - Lapan, Maxim - Deep Reinforcement Learning Hands-On : Apply Modern RL Methods to Practical Problems of Chatbots, Robotics, Discrete Optimization, Web Automation, and More, 2nd Edition - 2020 - Packt Publishing - http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2366458 - nlebk - 2366458
A guided tour of artificial intelligence research. Vol. 3: Interfaces and applications of artificial intelligence, , 2020
AI ethics, Coeckelbergh, M., 2020
ChatGPT toolkit for HR recruiters : ready-to-use prompts for the modern recruiter, Hussaini, S., 2023
Clifford G. Christians, Mark Fackler, Kathy Brittain Richardson, & Peggy Kreshel. (2020). Media Ethics : Cases and Moral Reasoning. Routledge.
Digital communication : theory, techniques, and applications, Mutagi, R. N., 2014
GPT-4. Руководство по использованию API Open AI, Эль Амри, А., 2024
LaViola, J. J. (2017). 3D User Interfaces : Theory and Practice: Vol. Second edition. Addison-Wesley Professional.
Pragmatics at its interfaces, , 2017
Project management for performance improvement teams, Ruggles, W. S., 2018
Tagg, C. (2015). Exploring Digital Communication : Language in Action. Routledge.
Искусственный интелект - ChatGPT. Вопросы и ответы - 978-5-6052302-3-6 - ООО "Блок-Принт" - 2025 - http://ebs.prospekt.org/book/47641 - 47641 - PROSPECT
Как устроен ChatGPT? : полное погружение в принципы работы и спектр возможностей самой известной нейросети в мире, Вольфрам, С., 2024
Никрошкина, С. В. Team building. Intercultural awareness. Company structure : учебное пособие / С. В. Никрошкина. — Новосибирск : НГТУ, 2021. — 90 с. — ISBN 978-5-7782-4599-0. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/306275 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
Разработка приложений на базе GPT-4 и ChatGPT - 978-601-08-3731-7 - Келен Оливье, Блете Мари-Алис - 2024 - Астана: Спринт Бук - https://ibooks.ru/products/397509 - 397509 - iBOOKS
Эль, А. А. GPT-4. Руководство по использованию API Open AI : руководство / А. А. Эль , перевод с английского В. С. Яценкова. — Москва : ДМК Пресс, 2024. — 274 с. — ISBN 978-5-93700-299-0. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/456752 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.

Recommended Additional Bibliography

34734 - Действуй как ChatGPT: Неполное и неточное руководство по работе с лучшей нейросетью - Л.Макарина - Альпина Диджитал - 2024 - https://hse.alpinadigital.ru/book/34734 - Alpina
9781000790597 - Stefan Popenici - Artificial Intelligence and Learning Futures - 2023 - Routledge - https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3408947 - nlebk - 3408947
9783110587296 - Claudia Maienborn; Klaus Heusinger - Semantics - Interfaces - 2019 - De Gruyter Mouton - http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=2156812 - nlebk - 2156812
Advanced positioning, flow, and sentiment analysis in commodity markets : bridging fundamental and technical analysis, Keenan, M. J. S., 2020
AI Ethics and Governance, Black Mirror and Order, Zhiyi Liu, Yejie Zheng, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022, 978-981-19-2531-3, published: 20 May 2022
Liudmila I Bogdanova. (2019). Media Linguistics: New Approaches and Solutions. Review of the Reference Dictionary “Media Linguistics in Terms and Concepts”, ed. L.R. Duskayeva. Moscow: Flinta, 2018. 440 pp. (In Russ.). https://doi.org/10.22363/2312-9182-2019-23-3-845-851
Right kind of wrong : how the best teams use failure to succeed, Edmondson, A., 2023
Тестирование веб-API. - 978-5-4461-2092-5 - Винтерингем Марк - 2024 - Санкт-Петербург: Питер - https://ibooks.ru/products/393785 - 393785 - iBOOKS

Authors

Osipov Daniil Vladimirovich
Varkan Anna Petrovna

Course Syllabus