Simulation Modelling

  • Credits: 5
  • Ending: Examination
  • Range: 2P + 2C
  • Semester: winter
  • Year: 2
  • Faculty of Economic Informatics

Teachers

Included in study programs

Data Science in Economics

Teaching results

In particular, students will acquire the following abilities:
- knowledge of economic data analysis,
- knowledge of the construction of simulation models,

Students will acquire in particular the following skills:
- ability to construct and use simulation models,
- ability to gather and analyze data
- ability to use simulation software
- ability to formulate clear and convincing presentations of their work results in both written and oral form.

Students will acquire the following competencies:
- practical skills and competencies with the application of simulation methods in the analysis of economic problems in the field of waiting line theory and inventory theory using simulation software.

Indicative content

1. Introduction to simulation modelling. Analytical and simulation models.
2. Monte Carlo methods. Problems solving using the Monte Carlo method.
3. Discrete event simulation
4. The concept of a random number. Pseudorandom numbers. Generation of random numbers. Congruence methods. Testing of generated random numbers.
5. Discrete and continuous probability distributions.
6. Analysis of simulation model input data.
7. Validation and verification of the simulation model.
8. Analysis of simulation model output data.
9. Simulation optimization and comparison of variants.
10. Simulation software overview.
11. Waiting line models simulation
12. Inventory problem simulation
13. Case studies

Support literature

Domonkos, T.: Simulácie. Bratislava : Letra Edu, 2018. 80 s. ISBN 978-80-89962-01-3.
2. Dlouhý, M., Fábry, J., Kuncová, M., Hladík, T.: Simulace podnikových procesú. Brno: Computer Press, 2011. 206 s. ISBN 978-80-251-3449-8.
3. Banks, J., Carson Ii, S. J., Nelson, B. N., Nicol, D. M.: Discrete-event system simulation. New Jersey: Pearson Prentice Hall, 2005, 608 s. ISBN 0-13-144679-7.
4. Law, A. M.: Simulation Modeling and Ananlysis. New York: McGraw-Hill, 2014, 800 s. ISBN 0073401323

Requirements to complete the course

40 % Assignments and Final project presentation;
60 % Final exam

Student workload

Total study load (in hours): 130 hours
Distribution of study load
Lectures participation: 26 hours
Seminar participation: 26 hours
Elaboration of the final project: 52 hours
Preparation for final exam: 26 hours

Language whose command is required to complete the course

Slovak, English

Date of approval: 11.03.2024

Date of the latest change: 17.05.2022