Content (Syllabus outline)
1. Digitalization and e-commerce strategies. Development of digital and e-services.
2. Theoretical and applied models of business and information technology alignment.
3. Challenges of digitalization and innovations in businesses. Research opportunities.
4. Planning and conducting research in the field of information systems. Dissemination of research results.
5. Evolution of big data, cloud computing mobile computing and internet of things - research trends.
6. Advanced analysis of big data (data mining, pattern recognition, machine learning, deep learning, neural networks and other approaches).
8. Development methodologies in the field of information systems. Methods, tools and standards in information sector.
9. Advanced ICT and knowledge-based systems. Decision support systems. Artificial intelligence.
10. Special research cases in the field of information systems (health care, financial sector, transport, tourism, sustainable development and alike)
11. Block chain technologies.
Readings
1. Beyerer, J., Richter, M. & Nagel,M. (2017). Pattern Recognition: Introduction, Features, Classifiers and Principles. De Gruyter.
2. Bungartz, H. J., Kranzlmüller, D., Weinberg, V. & Weismüller, J. (2018). Advances and New Trends in Environmental Informatics: Managing Disruption, Big Data and Open Science. Springer.
3. Doucek, P., Basl, J., Min Tjoa, A., Raffai, M., Pavlicek, A. & Detter, K. (2019). Research and Practical Issues of Enterprise Information Systems 13th IFIP WG 8.9 International Conference, CONFENIS 2019 Prague, Czech Republic, December 16–17, 2019. Springer.
4. Kljajić Borštnar, M. & Pucihar, A. (2022, v tisku). Znanstveno-raziskovalni izzivi na poti digitalne preobrazbe. Univerzitetna založba Univerze v Mariboru.
5. Marinescu, D. C. (2023). Cloud Computing: Theory and Practice (3rd ed.). Elsevier Inc.
6. Leskovar. R. & Werber B. (2024, v tisku). Research Notes on Digital Business Transformation and Artificia Intelligence. Peter Lang..
7. Liu, K., Nakata, K., Li, W., & Baranauskas, C. (2018). Digitalisation, Innovation, and Transformation: 18th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2018. Springer.
8. Rajkovič, U. & Baggia, A. (2021). Znanstveno-raziskovalni trendi na področju digitalne preobrazbe. Univerzitetna založba Univerze v Mariboru.
9. Sharda R., Delen D. &Turban E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition). Pearson.
10. Summers, A. (2022). Understanding Blockchain and Cryptocurrencies. CRC Press, Taylor & Francis Group.
11. Tsihrintzis, G. A., Sotiropoulos, D. N. & Jain, L. C. (2019). Machine Learning Paradigms: Advances in Data Analytics. Springer.
12. Yang, X., Sherratt, S., Dey, N. & Joshi, A. (2023). Proceedings of Seventh International Congress on Information and Communication Technology ICICT 2022, London. Springer.
13. Zin, T.T. & Lin J. C. (2019). Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning. Springer.
