Študijski programi

Objectives and competences

Give students the knowledge: - of formulating business problems that can be solved by statistical techniques and methods - how to choose and use appropriate statistical tests for hypothesis testing. - Interpret the results (what the solution means for the problem at hand) - Obtaining of practical working knowledge by working on business cases and by application of statistical software

Content (Syllabus outline)

- Decision theory: basics of decision-making, complex decisions' analysis under complete uncertainty and risk, business and economic study cases. Computer support: Excel - Multiple criteria decision-making: selected traditional methods based on multi-attribute / utility theory, the Analytic Hierarchy Process, with real-life applications in economics and business. Computer support: Expert Choice - Statistics in Management: organizing and visualizing data, descriptive statistics, Basic probability and probability distributions, sampling and sampling distributions, Confidence intervals, Fundamentals of Hypothesis testing – selected tests, simple regresion, Statistical Applications in Quality Management. - Project optimisation: project definition, project planning and scheduling (project duration and cost with CPM), project risk estimate (PERT), project control.

Learning and teaching methods

- lectures - AV presentations - case studies - active individual and group work

Intended learning outcomes - knowledge and understanding

Knowledge and Understanding: - capacity for analysis and synthesis - capacity to learn - identify and use of adequate analytical concepts and instruments - capacity for analysis of problem and searching for solutions

Intended learning outcomes - transferable/key skills and other attributes

Transferable/Key Skills and other attributes: - capacity for applying knowledge in practice - ability to continue studying independently - capacity for generating new ideas - capacity to adapt to new situations - ability to work in an interdisciplinary team - ability to use the informatics technology - decision-making - ethical commitment

Readings

Obvezna študijska literature (Compulsory textbooks): Izbrana poglavja iz: Tominc,P., Čančer V., Rožman, M. (2018). Zbirka vaj za predmet Metode raziskovanja. 1. izd. Maribor: Univerzitetna založba Univerze. Render, B., Stair, R. M., Hanna, M. E., & Hale, T. S. (2018). Quantitative Analysis For Management (13. izd.). Harlow: Pearson. ali: Brandon-Jones, A., & Slack, N. (2008). Quantitative Analysis in Operations Management. Harlow etc.: Financial Times Press. Izbrana poglavja iz: Levine, D.M., Stephan, D.F., Krehbiel, T.C., Berenson, M.L. (2011). Statistics for Managers, 6/E, Pearson Higher Education. N. Slack, Chambers, S., Harland, C., Harrison, A., and Johnston, R. (1998). Operations Management, London: Pitman Publishing, Second Edition. J. Heizer, and Render, B. (2001). Operations Management. New Jersey: Prentice Hall. J. R. Meredith and Shafer, S. M. (1999). Operations Management for MBAs. New York: John Wiley & Sons, Inc. Dodatna študijska literature (Additonal textbooks): Selected Chapters from: - Belton, V, & Stewart, T. J. (2002). Multiple Criteria Decision Analysis - An Integrated Approach. Boston, Dordrecht, London: Kluwer Academic Publishers. - Zopounidis, C., & Pardalos, P. M. (ur.). (2010).: Handbook of Multicriteria Analysis. Heidelberg, Dordrecht, London, New York: Springer-Verlag.

red. prof. dr. VESNA ČANČER, univ. dipl. ekon.
red. prof. dr. POLONA TOMINC, univ. dipl. ekon.

Written examination: 50
Project assignment: 30
Collaboration in lectures, tutorials and lab work: 20

: 15
: 15
: 120

English
English