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).
7. Development methodologies in the field of information systems. Methods, tools and standards in information sector.
8. Advanced ICT and knowledge-based systems. Decision support systems. Artificial intelligence.
9. Special research cases in the field of information systems (health care, financial sector, transport, tourism, sustainable development and alike)
10. Block chain technologies.
11. Digital twins and simulation of real-world systems in a digital environment
Intended learning outcomes - knowledge and understanding
Application, analysis, synthesis, evaluation and creation of new:
• advanced strategies of digital transformation and innovation
• business and information technologies alignment
• information systems development methods
• methods and approaches used in data analytics
• advanced information and communication technologies
• modes of scientific communication and dissemination of research results
Readings
1. Beyerer, J., Hagmanns, R., & Stadler, D. (2024). Pattern recognition: introduction, features, classifiers and principles (2nd ed., str. XXV, 327). 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. Znanstveno-raziskovalni izzivi na poti digitalne preobrazbe (1. izd.). (2022). Univerzitetna založba.
5. Marinescu, D. C. (2023). Cloud Computing: Theory and Practice (3rd ed.). Morgan Kaufmann Publishers.
6. Rajkovič, U. & Baggia, A. (2021). Znanstveno-raziskovalni trendi na področju digitalne preobrazbe. Univerzitetna založba Univerze v Mariboru.
7. Sharda, R., Delen, D., & Turban, E. (2021). Analytics, data science, & artificial intelligence: systems for decision support (11th ed., str. 831). Pearson.
8. Summers, A. (2022). Understanding blockchain and cryptocurrencies: a primer for implementing and developing blockchain projects (str. XXXIII, 216). CRC Press.
9. Machine learning paradigms: advances in data analytics (str. XVI, 370). (2019). Springer.
