763 Quantitative Methods In Public Sector

[Translate to English:] 763 Kvantitativne metode v javnem sektorju 763 Quantitative Methods In Public Sector

  • Study programme and level: Master’s joint study programme Management in Administration 2nd Cycle
  • 2nd year
  • 7 ECTS
  • Course type: proffesional elective
  • Lectures: 21
  • Seminar: 11
  • Other study activities: 118
  • Individual work: 60
  • Language: English, Serbian, Slovene
  • Lecturer: dr. Jože Benčina, PhD, dr. Milan Martić, PhD

1. Content (Syllabus outline)

  • Initial review of methods
  • Quantitative models: definition, properties, design, and applications
  • Linear programming: definition, phase, dynamic models, applications
  • Multivariate analysis: correlation, regression, cluster analysis
  • Network models: introduction, CPM, and PERT method, project risk management
  • Data envelopment analysis
  • Queuing theory: stochastic processes, queing models, simulations
  • Fuzzy logic: definitions and applications
  • Use of quantitative methods to deal with complex problems in administration

2. Readings

Compulsory readings:

  • Eiselt, H.A. & Sandblom, C.-L., 2010. Operations Research: A Model-Based Approach 1st iz., Springer, p. 1-112.
  • Krčevinac, S:, Čangalović, M., Kovačević-Vujčić, V., Martić, M., Vujošević M.: Operaciona iztraživanja 1 & 2, Fakultet organizacionih nauka, Beograd, 2006.
  • Welsh, S. & Comer, J., 2006. Quantitative Methods for Public Administration: Techniques and Applications 3rd ed., Waveland Pr Inc.
  • Cooper, W.W., Seiford, L.M. & Tone, K., 2006. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software 2nd ed., Springer.
  • Nelson, B.L. & Mathematics, 2010. Stochastic Modeling: Analysis and Simulation, Dover Publications p. 1- 146.
  • Nguyen, H.T. & Walker, E.A., 2005. A First Course in Fuzzy Logic, Third Edition 3rd ed., Chapman and Hall/CRC p. 1 - 170.

 Additional Readings:

  • Ravindran, A.R., 2008. Operations Research Applications 1st ed., CRC Press.
  • Zhu, J., 2008. Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets 2nd ed., Springer
  • Ozcan, Y.A., 2009. Quantitative Methods in Health Care Management: Techniques and Applications 2nd iz., Jossey-Bass.

3. Objectives and competences


  • recognizes and defines problem, asks research questions and/or thesis and defines research hypotheses,
  • chooses independently  suitable quantitative method and/or model for particular problem solving
  • considers similar cases of applications of methods and prepares the plan problem solving process, 
  • gathers and analyses information and data using suitable methods like content analysis and comparative analysis,
  • makes critical reflexion to the results of analyses and relates them to the results of earlier studies and situation in public sector.

Student is qualified

  • to plan problem solving process with the help of suitable quantitative model with all necessary elements,
  • to incorporate the problem approach and assert the intended quantitative model, and to place the work into predefined research and practical framework,
  • to perform specific quantitative analysis using suitable methods and/or models,
  • to interpret methodological and content issues of the results of quantitative analysis
  • to report critically the results and advantages and disadvantages of application of the method and/or models.

4. Intended learning outcomes:

Students will:

  • understand the importance of performance benchmarking in public sector  as the ground for quality and effectiveness improvement,
  • be able
  • to design program of the implementation of benchmarking in local government environment,
  • to define and to use the budgetary indicators
  • to define and to use performance indicators (effectiveness, efficiency, economy) and to interpret the results,
  • be able to prepare and to perform empirical research of performance measuring using suitable indicators,
  • be capable to assess the research result relevancy,
  • be able to prepare research results in form suitable for understanding and verification of the research results that are acceptable for the publicity in the relevant publications,
  • be able to participate in the team work needed for execution of complex benchmarking analyses and to assess team work process.

5. Learning and teaching methods:

  • lecture
  • seminars
  • research
  • project work
  • seminar paper
  • (group) presentation
  • e-learning

6. Assessment

written and/or oral exam 20%
seminar work (project work, seminar workpaper) and/or oral exam 80%