Business information systems

Objectives and competences

The primary goal of this course is to teach students the principles of using information technologies in business.

Students obtain the following competences:
- knowledge of basic concepts from information systems field and basics for understanding methodologies and techniques for developing information systems,
- knowledge of software tools that support individual phases of IS development, like, for example, analysis, design, implementation, testing, etc.


Required prerequisite knowledge from courses Basics of ICT and Electrical engineering.


  1. Introduction
  2. Basic definitions
  3. Business information systems (IS)
  4. Methodology and technology of IS development
  5. SQL basics
  6. Modelling business information systems
  7. E-business
  8. Ethics and security of information systems
  9. Decision support and expert systems
  10. Basics of data mining in the context of information systems

Intended learning outcomes

Knowledge and understanding:

• Acquired knowledge about basic concepts of using informatics for business
• Familiarity with the basic concepts of systems analysis, design and construction of information systems
• Familiarity with the field of information security
• Lectures with active students' involvement (explanation, discussion, questions and answers, case studies)
• Individual and group research and project work, seminar assignments
• Individual and group consultations (discussion, additional explanation, handling specific questions)
• Remote collaboration by using modern IT tools


• Curtis, G., Cobham, D.: Business Information Systems: Analysis, Design and Practice. Pearson Education Canada, 2008. E-version
• Reiner, K.R., Prince, B., Cegielski, C.: Introduction to Information Systems: Supporting and Transforming Business, Wiley, 2017. Catalogue
• Dennis, A., Wixom, B.H., Tegarden, D.: System Analysis and Design: An Object-Oriented Approach, Wiley, 2015 E-version
• Power, D.J.: Decision Support, Analytics, and Business Intelligence, Business Expert Press, 2013.
• Beaulieu, A.: Learning SQL, O’Reilly Media, 2009. E-version


Type (examination, oral, coursework, project): examination (50%), project/ seminar work (50%) 50/50

Lecturer's references

Prof. Dr. Aneta Trajanov (former Trajanov), Associate professor in the field of computer sience and informatics at the University of Nova Gorica and a director of the Master programme Management and engineering, is an expert in the area of artificial intelligence. She completed her PhD on machine learning in 2010 at the Jozef Stefan International Postgraduate School. From 2005 until 2022 she was a researcher at the Department of Knowledge Technologies at the Jozef Stefan Institute. She completed her post-doc at the Ruđer Boškovič Institute, Zagreb, Croatia in 2015/2016. Her main research interests are machine learning and knowledge discovery from environmental data, decision support, inductive logic programming and equation discovery. She has worked on many European, as well as national, projects in the area of agroecology, where she applied different machine learning methods for analysing (agro)ecological data.
Since November 2022 she works as a Director of Artificial Intelligence in the company MarineXchange, which develops software for the cruise industry.

Selected bibliography

  1. SANDÉN, Taru, WAWRA, Anna, BERTHOLD, Helene, MILOCZKI, Julia, SCHWEINZER, Agnes, GSCHMEIDLER, Brigitte, SPIEGEL, Heide, DEBELJAK, Marko, TRAJANOV, Aneta. TeaTime4Schools : using data mining techniques to model litter decomposition in austrian urban school soils. Frontiers in ecology and evolution. 2021, vol. 9, str. 703794-1-703794-9, ilustr. ISSN 2296-701X. DOI: 10.3389/fevo.2021.703794. [COBISS.SI-ID 68232707]
  2. IANNETTA, Pietro, DEBELJAK, Marko, TRAJANOV, Aneta, et al. A multifunctional solution for wicked problems : value-chain wide facilitation of legumes cultivated at bioregional scales is necessary to address the climate-biodiversity-nutrition nexus. Frontiers in sustainable food systems. 2021, vol. 5, str. 692137-1-692137-8. ISSN 2571-581X. DOI: 10.3389/fsufs.2021.692137. [COBISS.SI-ID 72049155]
  3. WALL, David P., DELGADO, Antonio, O'SULLIVAN, Lilian, CREAMER, Rachel, TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, HENRICKSEN, Christian B., DEBELJAK, Marko. A decision support model for assessing the water regulation and purification potential of agricultural soils across Europe. Frontiers in sustainable food systems. 2020, vol. 4, str. 115-1-115-11. ISSN 2571-581X. DOI: 10.3389/fsufs.2020.00115. [COBISS.SI-ID 21854979]
  4. SANDÉN, Taru, TRAJANOV, Aneta, SPIEGEL, Heide, KUZMANOVSKI, Vladimir, SABY, Nicolas, PICAUD, Calypso, HENRIKSEN, Christian B. H., DEBELJAK, Marko. Development of an agricultural primary productivity decision support model : a case study in France. Frontiers in environmental science. 2019, vol. 7, str. 58-1-58-13. ISSN 2296-665X. DOI: 10.3389/fenvs.2019.00058. [COBISS.SI-ID 32342311],
  5. LEEUWEN, Jeroen P. van, DEBELJAK, Marko, KUZMANOVSKI, Vladimir, TRAJANOV, Aneta, et al. Modeling of soil functions for assessing soil quality : soil biodiversity and habitat provisioning. Frontiers in environmental science. 2019, vol. 7, str. 113-1-113-13. ISSN 2296-665X. DOI: 10.3389/fenvs.2019.00113. [COBISS.SI-ID 32581927]
  6. DEBELJAK, Marko, TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, et al. A field-scale decision support system for assessment and management of soil functions. Frontiers in environmental science. 2019, vol. 7, str. 115-115-14. ISSN 2296-665X. DOI: 10.3389/fenvs.2019.00115. [COBISS.SI-ID 32549671]
  7. VAN DE BROEK, Marijn, KUZMANOVSKI, Vladimir, TRAJANOV, Aneta, DEBELJAK, Marko, et al. Assessing the climate regulation potential of agricultural soils using a decision support tool adapted to stakeholders' needs and possibilities. Frontiers in environmental science. 2019, vol. 7, str. 131-1-131-17. ISSN 2296-665X. DOI: 10.3389/fenvs.2019.00131. [COBISS.SI-ID 32644391]
  8. TRAJANOV, Aneta, SPIEGEL, Heide, DEBELJAK, Marko, SANDÉN, Taru. Using data mining techniques to model primary productivity from international long-term ecological research (ILTER) agricultural experiments in Austria. Regional environmental change. 2019, vol. 19, no. 3, str. 325-337. ISSN 1436-3798. DOI: 10.1007/s10113-018-1361-3. [COBISS.SI-ID 31437607]
  9. BAMPA, Francesca, TRAJANOV, Aneta, DEBELJAK, Marko, et al. Harvesting European knowledge on soil functions and land management using multi%criteria decision analysis. Soil use and management. 2019, vol. 35, no. 6, spec. iss., str. 6-20. ISSN 0266-0032. DOI: 10.1111/sum.12506. [COBISS.SI-ID 32292903]
  10. TRAJANOV, Aneta, KUZMANOVSKI, Vladimir, RÉAL, Benoît, MARKS PERREAU, Jonathan, DŽEROSKI, Sašo, DEBELJAK, Marko. Modeling the risk of water pollution by pesticides from imbalanced data. Environmental science and pollution research international. [Print ed.]. 2018, vol. 25, no. 19, str. 18781-18792. ISSN 0944-1344. DOI: 10.1007/s11356-018-2099-7. [COBISS.SI-ID 31356967]