VSFS:N_ANM New media analytics - Course Information
N_ANM New media analytics
University of Finance and AdministrationWinter 2025
- Extent and Intensity
- 0/2/0. 3 credit(s). Type of Completion: z (credit).
- Guaranteed by
- Mirela Moldoveanu, M.Sc., Ph.D.
Subdepartment of Social Sciences – Department of Social Sciences – Departments – University of Finance and Administration
Contact Person: Dita Egertová - Prerequisites
- There are no prerequisites for this course.
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- The course teaches students how new media channels and platforms collect and use data from users for various purposes. One focus of the course is to understand user profiles and how to limit the collection of data by third parties.
- Learning outcomes
- At the end of the course, a student who actively participated in it will be be able to: - understand the basics concepts of new media analytics - identify the ways data is collected on new media - how user data can be used for various purposes - what are the ways to protect user data from misuse
- Syllabus
- The course will target twelve specific themes, covered in course activities: 1. Basic concepts of new media analytics 2. Sources of data on social media 3. Data protection and the regulation of the Internet 4. Data warehouse, web scrapping, and analytics 5. Social platforms as part of data collection – qualitative data and their transformation 6. Privacy in Web 2.0 and Web 2.2 7. Problems of data analysis, sample, methods, reliability 8. AI as human language analyst 9. Web data for marketing campaigns 10. Misuse of privacy data 11. Online privacy data protection methods 12. Students’ case studies Literature: Aggarwal, C. C. (2011). Social network data analytics. Springer Science & Business Media. Kaushik, A. (2007). Web analytics: An hour a day. Sybex. https://epdf.tips/web-analytics.html Sostre, P., & LeClaire, J. (2007). Web analytics for dummies. John Wiley & Sons. https://epdf.tips/web-analytics-for-dummies2493.html Dunay, P., & Krueger, R. (2010). Facebook marketing for dummies®. John Wiley & Sons. https://epdf.tips/facebook-marketing-for-dummies9513.html Thomases, H. (2010). Twitter marketing: An hour a day. John Wiley & Sons. https://epdf.tips/twitter-marketing-an-hour-a-day.html European Commission. (2019). Data protection in the EU. https://commission.europa.eu/law/law-topic/data-protection/data-protection-eu_en Kaushik, A. (2007). Web analytics: An hour a day. Sybex. https://epdf.tips/web-analytics.html Proton AG. (2022, May 26). What is GDPR, the EU’s new data protection law? GDPR.eu. https://gdpr.eu/what-is-gdpr/ European Commission (2023). Data Services Act. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/digital-services-act_en
- Teaching methods
- Case studies analysis, projects, field trips (if possible).
- Assessment methods
- Class activities, individual and group presentations of seminar assignments that focus on exemplifying the course themes with real data.
- Language of instruction
- Czech
- Further Comments
- The course can also be completed outside the examination period.
- Enrolment Statistics (recent)
- Permalink: https://is.vsfs.cz/course/vsfs/winter2025/N_ANM