1635 Evaluation Methods for Decision-Making Support

1635 Evaluation Methods for Decision-Making Support

  • Study programme and level: Professional degree programme Administration 1nd Cycle
  • 2nd or 3th year
  • 6 ECTS
  • Course type: Elective
  • Lectures: 30
  • Other forms of study: 90
  • Individual work: 60
  • Lecturer: mag. Anamarija Leben, PhD

 

1. Objectives and competences

Objectives

  • Students understand the role of evaluation in decision-making process
  • Students apply various multi-attribute evaluation methods
  • Students are trained to develop hierarchical multi-attribute evaluation models
  • Students apply various methods for group decision-making
  • Students use various systems and tools for evaluation and decision-making support

Competences

  • Student is able to identify, fully define an structure decision problem
  • Student is able to develop a multi-attribute model and implement corresponding evaluation for a particular problem
  • Student is able to actively participate in decision-making process

2. Content

    • Introduction to decision-making and evaluation
    • Decision-making process
    • Structuring objectives and decisions
    • Uncertainty and risk in decision-making
    • Basic evaluation methods
    • Multi-attribute methods
    • Qualitative hierarchical multi-attribute methods
    • Systems and tools supporting hierarchical multi-attribute evaluation methods
    • Quantitative hierarchical multi-attribute methods
    • Characteristics of and basic methods for group decision-making
    • Hierarchical multi-attribute models in group decision-making

    3. Readings

    • Bohanec, M. (2006). Odločanje in modeli. Ljubljana: DMFA-Založništvo, (izbrana poglavja). Ponatis 2012.
    • Clemen, R. T. (1997). Making Hard Decisions: An Introduction to Decision Analysis (3rd ed.). Duxbury, ZDA: South-Western College Pub, (izbrana poglavja).
    • Jereb, E., Bohanec, M., & Rajkovič, V. (2003). DEXi: Računalniški program za večparametrsko odločanje. Kranj: Moderna organizacija.
    • Gradivo v e-učilnici predmeta.

    4. Intended learning outcomes

    Knowledge and understanding:

    • Student is able to explain the role of evaluation in decision-making process
    • Student is able to fully define and structure a particular decision problem
    • Student is able to use various evaluation methods for decision-making support
    • Student is able to develop multi-attribute evaluation model suitable for particular decision problem
    • Student is able to choose and use evaluation tool appropriate for particular decision problem

    5. Learning and teaching methods

    • student preparations for lectures
    • lecture (in computer lab)
    • e-learning
    • case study
    • regular assignments

    6. Assessment

    Type (examination, oral, coursework, project):

    • written and/or oral exam (60%)
    • regular assignments and/or seminar paper with presentation (40%)