Objectives and competences
A student at this subject
1. develops the capacity to participate in the decision-making process
2. develops the ability to support existing decision-making processes with modern ICT
3. gains in-depth understanding of methods for organizing decision support systems
4. gains the ability to develop decision models in a given context
Content (Syllabus outline)
Decision making process as a socio-technical process
Managing decision knowledge
Principles and structures of decision support systems
Methods and techniques for decision making
Managerial information systems
Knowledge discovery from data
Integration of selected methods and techniques into a single system as a whole
Evaluating decision support systems
Learning and teaching methods
• Lectures
• Case studies
• Exercises
Developing a decision support model for organizing a chosen decision support process
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
• to identify the elements of a decision process
• to evaluate the role of ICT in decision support systems
• to compare available methods and techniques to support decision-making processes
• to use appropriate tools to support decision-making
• to develop decision-making models to support decision-making
• to organize the decision process in a given context
Intended learning outcomes - transferable/key skills and other attributes
- ability to develop decision support models
- ability to organize a decision making process by using appropriate tools
Readings
1. Rajkovič, V. (2019). Digitalizacija in odločanje. V Slovenija na poti digitalne preobrazbe (str. 182-207). Založba UL FRI. http://zalozba.fri.uni-lj.si/bavec2019.pdf
2. Rajkovič, U., & Werber, B. (2021). Sistemi za podporo odločanju: metodologija razvoja = Decision support systems. V Znanstveno-raziskovalni trendi na področju digitalne preobrazbe (str. 79–95). Univerzitetna založba. https://press.um.si/index.php/ump/catalog/book/605
3. Kljajić Borštnar, M., & Pucihar, A. (2022). Večkriterijski model za ocenjevanje digitalne zrelosti malih in srednje velikih podjetij = Multi-criteria model for digital maturity assessment of small and medium sized enterprises. V Znanstveno-raziskovalni izzivi na poti digitalne preobrazbe (str. 21–51). Univerzitetna založba. https://press.um.si/index.php/ump/catalog/book/712
4. Blatnik, S. (2024). Methodology development for open data maturity assessment in small and medium-sized enterprises – a literature review. 859–880. https://press.um.si/index.php/ump/catalog/view/880/1284/4184
Prerequisits
Prerequisites for enrolling:
knowledge of statistics and probability
basic knowledge of mathematics
basic knowledge of ICT
Exam admission requirement:
positive evaluation of a seminar work and its defence
Additional information on implementation and assessment Coursework (100%)