BPM_AOME Quantitative Methods for Decision Making

Ekonomicko-správní fakulta
jaro 2026
Rozsah
2/2/0. 8 kr. Ukončení: zk.
Vyučováno kontaktně
Vyučující
Ing. Mgr. Markéta Matulová, Ph.D. (přednášející)
Ing. Mgr. Markéta Matulová, Ph.D. (cvičící)
Garance
Ing. Mgr. Markéta Matulová, Ph.D.
Oddělení aplikované matematiky a informatiky – Ekonomicko-správní fakulta
Kontaktní osoba: Lenka Hráčková
Dodavatelské pracoviště: Oddělení aplikované matematiky a informatiky – Ekonomicko-správní fakulta
Předpoklady
Basic knowledge of linear algebra and statistics
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 50 stud.
Momentální stav registrace a zápisu: zapsáno: 0/50, pouze zareg.: 0/50, pouze zareg. s předností (mateřské obory): 0/50
Mateřské obory/plány
Cíle předmětu
The course aims to develop skills in the area of decision-making techniques and optimization strategies. It is designed to make students familiar with quantitative tools to tackle real-world challenges in business, economics, and finance. After passing the course, the students should be able to model complex decision making situations and confidently solve them using proven methods. A key focus is hands-on experience with MS Excel and its Solver add-in.
Výstupy z učení
Student will be able to:
- identify and formulate specific optimization problems that occur in economics, finance, management, etc.
- apply the algorithms used to solve these optimization problems
- explain the solution procedure
- check the optimality of the solution and interprete the results
- solve practical problems using software (MS Excel).
Osnova
  • Linear programming
  • Simplex method for solving LP
  • Duality and sensitivity analysis
  • Applications: Distribution problems
  • Applications: Assignment problems, TSP
  • Integer programming
  • Network optimization
  • Project management; methods CPM and PERT
  • Multi-criteria decision analysis
  • Multi-criteria and goal programming
  • Risk and Uncertainty in Decision Making
  • Decision trees, stochastic optimization models.
  • Applications: Modeling risks with Monte Carlo simulation, investment decision-making, portfolio analysis.
Literatura
    povinná literatura
  • HILLIER, Frederick S. a Gerald J. LIEBERMAN. Introduction to operations research. 2024 release. New York: McGraw-Hill, 2024, xxiv, 968. ISBN 9781266933226. info
    doporučená literatura
  • TAHA, Hamdy A. Operations research : an introduction. 11. vyd. Upper Saddle River, N.J.: Prentice Hall, 2022. ISBN 1-259-87299-8. info
  • COOPER, William W.; Lawrence M. SEIFORD a Kaoru TONE. Data envelopment analysis : a comprehensive text with models, applications, references and DEA-solver software. Second edition. New York: Springer, 2007, xxxviii, 4. ISBN 9780387452814. info
  • William J. Stevenson and Ceyhun Ozgur. 2006. Introduction to Management Science with Spreadsheets and Student CD (1st. ed.). McGraw-Hill, Inc., USA.
Výukové metody
Theoretical training: lectures and homework
Instructions: problem solving using computer
Team project
Metody hodnocení
The course is ended by an examination. The prerequisite of successful completion of the course is active participation in seminars. The rating is determined by point gain from the final test and the team project. Any copying, recording or leaking tests, use of unauthorized tools, aids and communication devices, or other disruptions of objectivity of exams (credit tests) will be considered non-compliance with the conditions for course completion as well as a severe violation of the study rules. Consequently, the teacher will finish the exam (credit test) by awarding grade "F" in the Information System, and the Dean will initiate disciplinary proceedings that may result in study termination.
Náhradní absolvování
If the student is on a study stay abroad, the termination conditions do not change.
Vyučovací jazyk
Angličtina
Další komentáře
Předmět je vyučován každoročně.
Výuka probíhá každý týden.
Předmět je zařazen také v obdobích jaro 2018, jaro 2019, jaro 2020, jaro 2021, jaro 2022, jaro 2023, jaro 2024, jaro 2025.