The Department of Methodology for Social Studies teaches and researches IT and quantitative tools that support the analysis of economic processes, the development and optimal operation of enterprises. Our students get acquainted with the use of SAP and Microsoft Dynamics enterprise management systems, data visualization programs, R and Python programming languages, database management, as well as data analysis and statistical methods, the principle of operation and creation of neural networks. For students who want to delve deeper into these areas of knowledge, we will also introduce you to the application possibilities of artificial intelligence. The main research areas of the Department: practical application of statistical methods in the field of controlling and economic analysis, statistical methods of quality analysis; applied informatics; application of e-commerce business models; the development of business intelligence and artificial intelligence, their role in the development of enterprises; data analysis; areas of application of algorithms; mathematics, informatics, statistics education methodology.
Andrea, Bencsik; Tímea, Juhász: Impacts of informal knowledge sharing (workplace gossip) on organisational trust. ECONOMICS AND SOCIOLOGY 13: 1 pp. 249-270., 22 p. (2020)
Ilyés, Csaba; Ilyésné, Molnár Emese: Differences and similarities in financial instruments in the financial accounts of Hungary and South Korea. In: PROSPERITAS 5 : 2 pp. 36-53., 18 p. (2018)
Keresztes, Eva Reka: Aiming for quality education: Selected indicators of sustainable development goals. In: Judit, Beke Lisanyi (editor) The Proceedings of Environmental Ethics & Human Values across Cultures Conference (2019) Paper: Panel 5/7.
Papp-Danka, Adrienn; Hülber, László; Zimányi, Krisztina: Competence development needs of the labour market and their implementation in the operational strategies of higher education institutions. In: Fehérvári, Anikó; Széll, Krisztián; Misley, Helga (editor) Research Diversity, Educational Practice and Collaborations: Abstract Volume: XVIII. National Educational Science Conference Budapest, Hungary: ELTE Faculty of Pedagogy and Psychology, Scientific Committee of the Hungarian Academy of Sciences, (2018) pp. 319-319., 1 p.
Tóth, Arnold; Juhász, Tímea; Kálman, Botond: The Role of Innovation and Human Factor in the Development of East Central Europe. MONTENEGRIN JOURNAL OF ECONOMICS 2020/16: 1 pp. 251-274., 24 p. (2020)
Key professional partners:
- IBM Hungary Ltd
- Hungarian Central Statistical Office
- Microsoft Hungary Ltd