- This course is an adaptation of two university-wide courses, Digital Literacy and Statistics for Data Analysis, for BA students in Foreign Languages and Intercultural Communication. The course will cover the basic topics that are necessary for the safe and effective use of digital technologies and Internet resources. Tools for conducting research, presentation and publishing of the results will also be considered. In addition, the statistics foundations necessary for research result processing will be considered.
- The ability to collect, process, and analyze data necessary for solving research tasks
- Students will be able to define and critically analyze data cultures within the context of smart city data infrastructure and governance.
- Computer literacy
- 2) Computer security
- Data Cultures and power
- 8) Working with tabular data in MS Excel and Google Spreadsheets
- 2022/2023 4th module0.1 * Мини-тесты + 0.25 * КР 1 + 0.2 * Домашние практические работы + 0.25 * КР2 + 0.2 * Групповой проект
- Bernd Held, Theodor Richardson (2015) Microsoft Excel Functions and Formulas, 3rd ed. Mercury Learning. [HSE access, books 24*7]
- Christoph Lindner, & Miriam Meissner. (2019). The Routledge Companion to Urban Imaginaries. Routledge.
- Rockoff, L. (2013). Microsoft Excel 2013 for the Business Analyst. Cengage Learning PTR.
- Fraser C. Business statistics for competitive advantage with Excel 2016: basics, model building, simulation and cases. New York, NY: Springer Science+Business Media, 2016. 475 с.
- Danielle Stein Fairhurst (2015). Using Excel for Business Analysis
- Keebaik Sim, Woo-Sung Hwang, & Myung-Ryu Choi. (2019). Building a New Smart City: Integrating Local Culture and Technology. Journal of Digital Convergence, 17(9), 193–198. https://doi.org/10.14400/JDC.2019.17.9.193