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Course Syllabus

Bachelor 2019/2020

Digital Literacy

Type: Elective course (Design)
Area of studies: Design
Delivered by: HSE Art and Design School
Where: Faculty of Creative Industries
When: 1 year, 3, 4 module
Mode of studies: distance learning
Language: English
ECTS credits: 4
Contact hours: 2

Course Syllabus

Full Syllabus

Abstract

Students, who managed to complete the course should:know the types of data and know how modern technologies work in the field of historical knowledge; be able to analyze the quantitative analysis results; be able to use open structured data resources; be able to use formal and accurate methods in relation to the specific field; have practical skills in working with data and solving applied problems of data analysis and visualization; have practical skills in working with library managers and office technologies. Students are to choose a new varied discipline in each module.
Learning Objectives

Learning Objectives

  • The goal of the discipline “Digital Literacy” is to make students master the principles and methods of using digital tools in the field of historical knowledge.
  • Students are to study big data in humanitarian studies, network analysis, Gephi.
  • Students will learn about regular expressions.
  • Students study the definition of data and the types of it. They learn about access to data, ethical issues and licenses. They are to study open data and big data. Students will compare different analysis approaches – the one before the digital era and the current (data-driven and question-driven). They are to master data work: machine learning, neural networks and artificial intelligence (the definition).
  • Students will learn the types of threats: viruses, fishing, device vulnerability. They are to study virus protection: anti-virus programs, guard when downloading files, password reliability and the rules of composing. Students study how to protect bank data, how to avoid spam and intrusive advertising.
  • Students learn to operate MS Word, Google Drive, Google Docs
  • Students learn to operate PowerPoint, Google Slides
  • Students learn to operate Zotero, Google Scholar
  • Students work on social networks, digital footprint, legal aspects of personal data, big data, user data. They learn to use digital media and study fake news, Internet etiquette and e-mail communication
Expected Learning Outcomes

Expected Learning Outcomes

  • Students are to study how the Internet works
  • Students are to study google browser and services. How to search for information correctly
  • Students are to study the types of threats: viruses, fishing, device vulnerability; virus protection: anti-virus programs, guard when downloading files, password reliability and the rules of composing; bank data; spam and intrusive advertising.
  • Students are to study social networks; digital footprint, legal aspects of personal data, big data, user data; using digital media; fake news; Internet etiquette; e-mail communication.
  • Students are to study MS Word, Google Drive, Google Docs
  • Students are to study Zotero, Google Scholar
Course Contents

Course Contents

  • Digital Literacy
    How the Internet works
  • Internet and searching
    Google browser and services. How to search for information correctly
  • Computer and Internet security
    The types of threats: viruses, fishing, device vulnerability; virus protection: anti-virus programs, guard when downloading files, password reliability and the rules of composing; bank data; spam and intrusive advertising.
  • Media Literacy
    Social networks; digital footprint, legal aspects of personal data, big data, user data; using digital media; fake news; Internet etiquette; e-mail communication.
  • Basic text technologies
    MS Word, Google Drive, Google Docs
  • Using information technology in writing research papers
    Zotero, Google Scholar
  • Working with spreadsheet data
    MS Excel, Google Forms, Google Sheets
  • Regular expressions
    Regular expressions
  • Preparing presentation: tools and use
    PowerPoint, Google Slides
  • Basics of data working: data, big data, machine learnin
    The definition of data; types of data; data access; ethical issues and licenses; open data; big data; comparing different analysis approaches – the one before the digital era and the current (data-driven and question-driven); data work: machine learning, neural networks and artificial intelligence (the definition).
  • Algorithmic thinking
    Flowcharts; ability to visualize tasks; logics
  • Digital Humanities introduction
    Big data in humanitarian research. Network analysis. Gephi
Assessment Elements

Assessment Elements

  • non-blocking project
    For exams without proctoring: The exam in Art and Design School is carried out orally – defence of the project. The exam is conducted on several platforms, depending on the needs of the teacher and students. Possible platforms for the exam in design courses: ZOOM Skype MS Teams Discord It is necessary to connect to the exam 15 minutes before the start. The ability to test the platform is at the discretion of students and teachers and it is not obligatory for the exam. A student’s computer and / or other gadget must satisfy the following requirement - a working microphone. The possibility of demonstrating a screen and a working camera are at the discretion of the student and teacher. The lack of a working camera and the inability to demonstrate the screen is not an obstacle to passing the exam. A teacher participating in the exam or a specialist in the Technical Office can assist the student with demonstrating his screen in consultation with the student and with a presentation on the Student Portfolio website. To participate in the exam, the student is required to upload the project to the Student Portfolio website and organize their presence in the exam to receive feedback on their project. It is highly recommended that when connecting to the view, it is correct to indicate your last name and first name, as well as the group number. During the exam, students are forbidden to interrupt the defender and participate in commenting on not their project. During the exam, students are allowed to independently present their project, respond to comments on their project, help other students show a screen with the project, but only if the project is loaded into the Student Portfolio system. A short-term communication disruption during the exam is considered a communication disruption of less than a minute. Long-term communication disruption during the exam is considered a violation of a minute or more. In case of a long-term communication disruption, the student cannot continue to participate in the exam. The retake procedure is similar to the procedure for defence a project in an exam.
  • non-blocking - Attendance
Interim Assessment

Interim Assessment

  • Interim assessment (4 module)
    The final mark in module IV consists of the following grades - mark for 4 interim views (cumulative semester) and mark for final view: (п1x0,15+п2x0,15+п3x0,15+п4x0,15)+п5x0,4, where: p1, p2, p3, p4 - grades for intermediate views of the IV module; p5 - score for the final session review of the IV module; 0.15, 0,4 — coefficients.
Bibliography

Bibliography

Recommended Core Bibliography

  • Communities in the age of internet ; Сообщества в эпоху интернета. (2019). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.E5389A1B
  • Kularb, P. (2018). Communicating to the Mass on Cyberspace: Freedom of Expression and Content Regulation on the Internet. France, Europe: Institut de recherche sur l’Asie du Sud-Est contemporaine. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.7EA1DA73
  • Pozzi F. et. al. Sentiment Analysis in Social Networks. - Morgan Kaufmann Publishers, 2016. - ЭБС Books 24x7.
  • Preimesberger, C. (2016). Google Releases Android N, Firebase Analytics, New ASIC. EWeek, 7. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=115473533
  • Puckett, J. (2017). Zotero : A Guide for Librarians, Researchers and Educators (Vol. Second edition). Chicago, Illinois: Association of College and Research Libraries. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1561980
  • SULA, O., & ELENURM, T. (2018). Comparing Online Social Networks Ties as Tool for Entrepreneurial Learning Readiness in Small Economies. Informatica Economica, 22(3), 62–74. https://doi.org/10.12948/issn14531305/22.3.2018.06

Recommended Additional Bibliography

  • Glisic, S. G. (2011). Advanced Wireless Communications and Internet : Future Evolving Technologies (Vol. 3rd ed). Chichester, West Sussex, U.K.: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=509912
  • 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