2026/2027
Английский язык для Data Science
ID 1154146
Статус:
Маго-лего
Где читается:
Факультет компьютерных наук
Когда читается:
2 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Абдулхакимов Мухиддин
Язык:
русский
Кредиты:
3
Контактные часы:
28
Программа дисциплины
Аннотация
The course develops the English language skills that Master’s students in Big Data Analytics need to participate effectively in academic and professional communication in Data Science. It combines elements of General English, Business English, and English for Academic Purposes. It is organized around realistic communicative tasks: professional self-introduction, discussing data and analytical results, participating in online meetings, delivering presentations, discussing research materials, and taking part in job interviews.
Particular attention is given to pronunciation, word and sentence stress, rhythm and intonation, as well as to the accurate and fluent production of numbers, formulas, and metrics. Students work with authentic professional and academic materials and practice structuring spoken responses, justifying decisions, asking clarifying questions, discussing limitations, and responding to feedback.
Цель освоения дисциплины
- The course aims to develop practical communicative competence in English for academic and professional Data Science contexts, with particular attention to clear spoken communication, professional vocabulary, functional grammar, pronunciation, data commentary, presentations, teamwork and workplace interaction.
Планируемые результаты обучения
- give a concise and appropriate professional self-introduction and participate in small talk.
- use core grammar accurately in professional and academic communication, especially tense/aspect, modality, conditionals and passive structures.
- use Data Science and workplace vocabulary, collocations and functional expressions appropriately.
- understand the main ideas and relevant details in professional videos, short research-oriented texts and technical communication materials.
- describe charts, graphs, tables, metrics and numerical information clearly and accurately.
- distinguish direct observation from interpretation, assumption and evidence when talking about data.
- deliver an organised spoken explanation using signposting, logical sequencing and appropriate transitions.
- communicate in online meetings, discuss problems, compare options, negotiate decisions and recommend next steps.
- participate in presentations and Q&A, ask for clarification, answer questions and provide constructive feedback.
- communicate their experience and skills in a job-interview setting.
- deliver an independent Data Commentary based on a visualisation, using appropriate language for trends, comparison, interpretation and conclusion.
- speak with sufficient fluency and intelligibility for academic and professional communication, using stress, rhythm and intonation to support meaning.
Содержание учебной дисциплины
- Course Introduction: English for Data Science
- Professional Self-Introduction and Small Talk
- Grammar for Professional Communication
- Pronunciation: Intelligibility, Stress, Rhythm and Intonation
- Numbers, Metrics and Describing Data
- Charts and Visualisations
- Datasets and Analytical Findings
- Academic English, Presentation Skills and Q&A
- Team Presentation 1: Data / Research Briefing
- Professional Meetings and Problem-Solving
- Ideas, Planning, Decisions and Recommendations
- Business Communication and Data-Driven Recommendations
- Job Interviews and Career Communication
- Team Presentation 2: Data-Driven Business Recommendation
Элементы контроля
- Speaking Test 1
- Language Test 1
- Team Presentation 1
- Speaking Test 2
- Language Test 2
- Team Presentation 2
- Homework
- Final Exam
Промежуточная аттестация
- 2026/2027 2nd module0.1 * Team Presentation 1 + 0.1 * Language Test 1 + 0.1 * Team Presentation 2 + 0.1 * Language Test 2 + 0.3 * Final Exam + 0.1 * Homework + 0.1 * Speaking Test 2 + 0.1 * Speaking Test 1
Список литературы
Рекомендуемая основная литература
- Academic vocabulary in use, McCarthy, M., 2010
- Academic Writing Skills 3, Student's Book, 140 p., Chin, P., Reid, S., Wray, S., Yamazaki, Y., 2014
- English Grammar in Use, A self-study reference and practice book for intermediate students of English with answers, 4th ed., 380 p., Murphy, R., 2012
Рекомендуемая дополнительная литература
- A speaker's resource : listener-centered public speaking, O'Brien, L., 2009
- Business English, Student's Book, Book 1, 2, 3, 3 impression, [117] p., Taylor, J., Zeter, J., 2013
- Intelligent Business : Upper Intermediate Business English, Coursebook, 176 p., Trappe, T., Tullis, G., 2011