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Бакалаврская программа «Социология и социальная информатика»

Applied Software

2020/2021
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты
Статус:
Курс обязательный
Когда читается:
3-й курс, 3 модуль

Course Syllabus

Abstract

The course on Applied Software for the 3rd year students focuses on principles of data visualization and comprehensive set software tools for it. The course is provided in a blended mode; students study the topics of the subject via Presentation skills: Designing Presentation Slides (https://www.coursera.org/learn/slides) MOOC. The focus is on data communication and presentations techniques with visual diagrams. Some parts of the course would be devoted to business visualization techniques. The practical part provides a complex of visualization techniques, applied in Social Sciences, including both primary and unusual diagrams. It develops an understanding of the visualization techniques applied in research and gives needed skills for application of data visualization in their future study and works. Moreover, both programming, via tools and drawing techniques of data visualization would be discussed.
Learning Objectives

Learning Objectives

  • to help students with their scientific visualization for presentation during their study, their final papers and research.
Expected Learning Outcomes

Expected Learning Outcomes

  • be able to find appropriate graphics for their data
  • be able to communicate data from the research efficiently
  • have knowledge of where it is possible to produce different types of diagrams
  • have skills of data visualizations in the main tools and software (Tableau, Excel, online tools)
Course Contents

Course Contents

  • Basics of data visualization and visual perception.
    History of data visualization and key figures. Main concepts of visual perception of graphics. Choosing the best graphics for your data. Overview of data types and diagrams for efficient data communication. Data storytelling. Making an efficient presentation with data storyline.
  • Scientific presentations.
    Types and structures. Contemporary conference presentations. Research proposals. Structure of term paper proposal presentation. Peer review in science and education
Assessment Elements

Assessment Elements

  • non-blocking Presentation of academic research
  • non-blocking Peer-Review
  • non-blocking Draft version of the slides/data story/poster for academic research presentation
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.2 * Draft version of the slides/data story/poster for academic research presentation + 0.4 * Peer-Review + 0.4 * Presentation of academic research
Bibliography

Bibliography

Recommended Core Bibliography

  • Knaflic, C. N. (2015). Storytelling with Data : A Data Visualization Guide for Business Professionals. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1079665
  • Monsey, M., & Sochan, P. (2016). Tableau For Dummies. Hoboken, NJ: For Dummies. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1082334

Recommended Additional Bibliography

  • Acharya, S., & Chellappan, S. (2017). Pro Tableau : A Step-by-Step Guide. New York: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1403967
  • Rahlf, T. (2017). Data Visualisation with R : 100 Examples. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1377904
  • Schrödinger, E., & Niall, K. K. (2017). Erwin Schrödinger’s Color Theory : Translated with Modern Commentary. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1651581