Course period: 2.
Year of study: 1.
Compulsory optional course
The aim of the subject is to provide students with a comprehensive theoretical and applied framework for understanding the digital economy as a dynamic socio-technical ecosystem shaped by digitalization, data economy, network effects and autonomous technologies. The subject focuses on the analysis of economic mechanisms of digital platforms, two-sided markets and information asymmetries, as well as the application of data mining methods, predictive analytics and machine learning models (including decision trees and neural networks) in solving economic and managerial tasks.The subject includes case studies from digital industries, which will allow for a critical assessment of the impacts of digitalization and artificial intelligence on corporate strategies, market structures and social aspects of entrepreneurship. The subject develops the ability to professionally interpret digital economy processes and formulate recommendations for strategic and regulatory decision-making.
Brief module description
1. Introduction to the digital economy. Transformation of the traditional economy into a digital one.
2. Digital technologies and their economic impact.
3. Digital business and business models.
4. Network effects and platform economy.
5. E-commerce and digital markets.
6. Digital marketing and consumer behaviour.
7. Automation, robotization and artificial intelligence in the economy.
8. Data as an economic resource.
9. Data mining in the digital economy.
10. Neural networks and advanced data mining: prediction, analysis and intelligent decision-making.
11. Digital security and regulation. Mechanism of building trust.
12. Ethics, sustainability and social impacts of the digital economy.
13. Trends and innovations in the digital economy. Economic predictions and changes in business
