Bachelor 2024/2025

Digital Literacy

Type: Compulsory course (International Business)

Area of studies: Management

Delivered by: Department of Operations Management and Logistics

Where: Graduate School of Business

When: 1 year, 1, 2 module

Mode of studies: distance learning

Online hours: 60

Open to: students of one campus

Instructors: Nataliya Alyamovskaya, Maxim Rozhkov

Language: English

ECTS credits: 4

Course Syllabus

Abstract

This course is an adaptation of the university-wide course "Digital Literacy" specifically for students of the International Business Bachelor’s Program and is aimed at developing competencies in the field of working with data and digital technology. The course covers the basic topics that are necessary for the safe and effective use of digital technologies and Network resources. More specialized issues related to the use of computer technologies for processing and analyzing business data are also a focus of the course.

Learning Objectives

• The main goal of our course is to give students a holistic view of how to search for information and data; how to analyze different types of data and how to prepare competent presentations of the analysis results with various digital tools.

Expected Learning Outcomes

• ● Analyze the risks of leaks of sensitive information
• ● Apply basic Excel function knowledge: in particular, knows how to convert data from one type to another, works with combined formulas and functions (simple ones like SUM, dollar sign, useful functions like SUMMESLY and VPR), including formula stuffing, stretching formulas, tables, copying data from one sheet to another, switching cell reference styles, fixing cells in formulas
• ● Apply basic Word hotkeys
• ● Apply data filters in spreadsheets and pivot tables
• ● Apply Excel tools to create selected chart and graph types (including pie charts, bar charts, scatter charts)
• ● Apply file conversion from one format to another
• ● Apply primary data processing and analysis
• ● Apply the basic Power Point hotkeys
• ● Apply the Power Point tools to create a selected type of infographic/chart, and design a constructed chart
• ● Apply the principles of working with personal data
• ● Apply the rules of referencing to academic papers
• ● Apply the simplest statistical analysis methods for simple forecasts in MsExcel (e.g. trending. correlation analysis, etc.).
• ● Compare different types of data visualization and applies the selected type to the given task
• ● Compare formats for images and audio and applies the most appropriate one
• ● Create correct and appropriate emails for educational purposes
• ● Create formatting of different text components: knows how to create lists of different formats, align and change font, etc
• ● Create or knows how to insert pictures, diagrams, tables, hyperlinks in text
• ● Create relevant search queries for finding information on the Internet
• ● Create slides, and applies the following skills: copy, copy style, change background of slide, duplicate formatting, save and export slides in different formats
• ● Create spreadsheets and uses the search function to solve problems
• ● Create various visual elements such as tables, graphs, charts, etc.
• ● Describe the basic components of media literacy and online communication skills
• ● Describe the basic ways of structuring information on a slide
• ● Describe types of machine learning models and their essence, algorithm for assessing model quality
• ● Determine the version of the operating system installed on the computer

Course Contents

• Media literacy
• Computer safety
• Internet literacy
• Academic literacy
• Legal aspects of information technologies
• Computer literacy
• Technical skills: text documents
• Technical skills: tables
• Big Data
• Technical skills: presentations

Assessment Elements

• Activities in seminars and lectures, homeworks
• Final test for the online course
  Students write a test in 60 minutes in an independent competency assessment format (a demo version is available in the course textbook)
• Final project Theoretical part
• Final project Survey
  Preparing a survey on a selected topic to test hypotheses and obtain additional data, taking into account the meaning and technical requirements of surveys
• Final Project Defence

Interim Assessment

• 2024/2025 2nd module
  0,8*MIN((0,3*Mark for Activities in seminars and lectures, homeworks + 0,3 * Mark for Final test for the online course + 0,05 * Mark for Final project Theoretical part + 0,05 * Mark for Final project Survey + 0,3 * Mark for Final Project Defence);8) Comments for the formula (paragraph 6 from ПОПАТКУС; https://www.hse.ru/docs/551872110.html): "69. The independent examination may have optional or mandatory prerequisite disciplines included in the curriculum of the educational programme. The degree of compulsory disciplines-requisites is defined in the programme of the independent examination or in other local normative acts describing the peculiarities of competence formation. The grade assigned on the basis of the results of interim certification on the discipline-requisites for the independent examination on the digital competence cannot be more than 8 points." It is possible to get a grade 9-10 for the discipline by re-crediting the grade for the independent examination. The re-credits are carried out automatically by the Data Culture team

Bibliography

Recommended Core Bibliography

• Academic writing : a handbook for international students, Bailey, S., 2008
• Bailey, S. (2017). Academic Writing : A Handbook for International Students (Vol. Fifth edition). London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1650435
• Brian W. Kernighan. (2017). Understanding the Digital World : What You Need to Know About Computers, the Internet, Privacy, and Security. Princeton University Press.
• Freedman, J. J. (2013). Microsoft Word 2013 Plain & Simple. Microsoft Press.
• Held, B. (2006). Microsoft Excel Functions & Formulas. Jones & Bartlett Learning.
• Introduction to machine learning, Alpaydin, E., 2020
• Muir, N. (2013). Microsoft PowerPoint 2013 Plain & Simple. Microsoft Press.
• Vijayan, J. (2016). Google Now Combining Browsing Data With Personally Identifiable Info. EWeek, 1. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=119088888

Recommended Additional Bibliography

• Ad A.M. Prins, Rodrigo Costas, Thed N. van Leeuwen, & Paul F. Wouters. (2016). Using Google Scholar in research evaluation of humanities and social science programs: A comparison with Web of Science data. Research Evaluation, (3), 264. https://doi.org/10.1093/reseval/rvv049
• Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations? (2019). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.C32203D9
• Davenport, T. H. (2014). Big Data at Work : Dispelling the Myths, Uncovering the Opportunities: Vol. [Academic Subscription]. Harvard Business Review Press.
• Farney, T., McHale, N., & Library and Information Technology Association (U.S.). (2013). Maximizing Google Analytics : Six High-Impact Practices. ALA TechSource.
• Hales, J., & Aldrich, L. (2012). Powerpoint Tips & Tricks. [Boca Raton, Florida]: QuickStudy Reference Guides. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1534329
• I. Korotkina B., & И. Короткина Б. (2017). Academic Literacy and Methods of Global Scientific Communication ; Академическая грамотность и методы глобальной научной коммуникации. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.8C60FBE4
• Martín-Martín, A., Orduna-Malea, E., Thelwall, M., & López-Cózar, E. D. (2018). Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories. https://doi.org/10.1016/j.joi.2018.09.002

Authors

• ALYAMOVSKAYA NATALIYA SERGEEVNA
• CHERENKOVA ELENA ALEKSANDROVNA