Цифровая грамотность

Бакалавриат 2026/2027

Статус: Курс по выбору (Иностранные языки и межкультурная коммуникация)

Кто читает: Департамент больших данных и информационного поиска

Где читается: Факультет компьютерных наук

Когда читается: 1-й курс, 1, 2 модуль

Онлайн-часы: 50

Охват аудитории: для своего кампуса

Язык: английский

Кредиты: 3

Контактные часы: 20

Full Syllabus Ask Question

Abstract

This course aims to develop a broad range of competencies in data, digital technologies, and artificial intelligence. Particular attention is paid to the practical application of generative models to address educational, research, and everyday tasks. The course also covers core topics related to the safe and effective use of online resources, critical evaluation of information, academic use of sources, and the legal and ethical aspects of the digital environment.

Learning Objectives

The Digital Literacy course aims to develop students' systematic approach to using digital tools, including generative models, to improve the effectiveness of their lives, studies, and professional activities. This course teaches students how to interact with AI systems, formulate queries effectively (prompt engineering), critically evaluate their results, and integrate these tools into academic and research processes. Additionally, the course develops competencies in digital security, data management, internet technologies, legal norms, and academic ethics.

Expected Learning Outcomes

Safeguarding their digital identity and ensuring digital hygiene (e.g. on social networks and while browsing news feeds).
Utilizing contemporary means of communication to organize teamwork and interactions during the educational process (e.g. email, messengers, systems for organizing group information storage).
Creating, using and ensuring the functionality of their digital space (including the ability to select the necessary devices for their tasks, configure settings for their purposes, connect to required resources, protect devices and related systems and networks using correct settings, networks, and antivirus/anti-spam systems).
Adhering to standards of safe and ethical behaviour on the Internet (such as using app stores, distinguishing fake media messages from real ones, checking the quality of information, distinguishing a spam email from a legitimate one, telling a real website from a phishing one, and using a secure connection to websites).
Mastering digital tools to solve problems, utilizing information and service support sources on the web.
Organizing office work through contemporary office systems (including drafting documents in accordance with established standards, using spreadsheets for simple data processing and visualization, preparing presentations for reporting work results, and creating and unpacking archives).

Course Contents

Computer Literacy
Internet Literacy
Computer Security
Introduction to Artificial Intelligence
Generative Artificial Intelligence
Prompt Engineering
Media Literacy
Academic Literacy
Legal Literacy

Assessment Elements

Group project
The project is completed in teams (in some cases, individual project submission may be required). The project's criteria and deadline are determined by the instructor and communicated to students at the beginning of the course. The deadline is strict. Submissions after the deadline are not permitted (failure to submit the project on time will result in a grade of 0, and no defense will be held).
Homework
Test
The content of the tasks is similar to the Independent Exam, and is conducted in the classroom or online in accordance with the Specifications of the Independent Exam in Digital Literacy for the current academic year.
Classroom practical work
In-class practical work (seminar activity) involves answering the instructor's questions and participating in problem solving. Attendance at seminars is not considered an activity and is not graded.

Interim Assessment

2026/2027 2nd module
0.3 * Group project + 0.3 * Classroom practical work + 0.1 * Homework + 0.3 * Test

Bibliography

Recommended Core Bibliography

Информатика для гуманитариев : учебник и практикум для академического бакалавриата / Г. Е. Кедрова [и др.] ; под редакцией Г. Е. Кедровой. — Москва : Издательство Юрайт, 2019. — 439 с. — (Бакалавр. Академический курс). — ISBN 978-5-534-01031-2. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/436461 (дата обращения: 28.08.2023).
Миркин, Б. Г. Введение в анализ данных : учебник и практикум / Б. Г. Миркин. — Москва : Издательство Юрайт, 2019. — 174 с. — (Авторский учебник). — ISBN 978-5-9916-5009-0. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/432851 (дата обращения: 28.08.2023).

Recommended Additional Bibliography

Академическое письмо. От исследования к тексту : учебник и практикум для академического бакалавриата / Ю. М. Кувшинская, Н. А. Зевахина, Я. Э. Ахапкина, Е. И. Гордиенко ; под редакцией Ю. М. Кувшинской. — Москва : Издательство Юрайт, 2019. — 284 с. — (Бакалавр. Академический курс). — ISBN 978-5-534-08297-5. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/424762 (дата обращения: 28.08.2023).
Дюк, В., Флегонтов, А., & Фомина, И. (2011). Применение технологий интеллектуального анализа данных в естественнонаучных, технических и гуманитарных областях. Известия Российского Государственного Педагогического Университета Им. А.И. Герцена, (138). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsclk&AN=edsclk.2007827
Секреты приложений Google - Балуев Д. - Альпина Паблишер - 2016 - https://znanium.com/catalog/product/923761 - 1841087 - ZNANIUM

Authors

Roslovtseva Kristina Olegovna

Course Syllabus