596 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: Jože Benčina, PhD, 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
- 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.
- 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:
- 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:
- project work
- seminar paper
- (group) presentation
written and/or oral exam 20%
seminar work (project work, seminar workpaper) and/or oral exam 80%