University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Computers and Informatics
Course Number: 2611461 Course Name: Modelling and Simulation
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,2
Part-time study (hours per semester): WT 26,26
Study Method:
Number of credits: 6
Recommended semester of study: WT
Recommended semester Study programme Study grade Study Method
1.rok WT Cybersecurity (KB_Ing_D_sk)
Informatics (INF_Ing_D_sk)
Computer Modelling (PM_Ing_D_sk)
Informatics (INF_Ing_D_en)
2.rok WT Cybersecurity (KB_Ing_D_sk)
Informatics (INF_Ing_D_sk)
Informatics (INF_Ing_D_en)
Level of study:
Course completion requirements:
Assessment and completion of the course: Credit test and examination
Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 16% out of 30%.
Credit test
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 36% out of 70%.
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
Students will gain knowledge about modeling and simulation of continuous and discrete systems, with a special emphasis on discrete-event systems.
Brief course content:
1. System, model and simulation: Definition of a system, its environment and configuration. Modelling and similarity of systems. Types of models. Simulation and simulation tasks.  Advantages and disadvantages of simulation. Simulation system, language and program.
2. Approaches to modelling: input-output and state-space modelling.
3. Taxonomy of systems and models: static and dynamic systems. Time-varying and time-invariant systems. Linear and non-linear systems. Continuous and discrete-state systems. Deterministic and stochastic systems.
4. Random number generation I: true- and pseudo-random numbers and their place in simulation. Random number generators.
5. Random number generation II: Statistic tests of generators. Generation of Random Variates.
6. Discrete-event systems (DES): Definition and levels of modelling. Queuing Systems.
7. DES modelling with Petri nets I: Definition, behavior and properties of low-level Petri nets.
8. DES modelling with Petri nets II: Definition, behavior and properties of high-level Petri nets.
9. DES modelling with Petri nets III: Time concept in Petri nets. Modelling of selected aspects of systems.
10. DES simulation with Petri nets: preparation, execution and evaluation of a simulation experiment.
11. Modelling and simulation of continuous systems. Numerical methods of continuous systems solving.
12. Digital circuits simulation: modelling levels, types of modelling languages, models of signals, timing and faults, simulation methods.
Recommended Reference Sources:
1. Fishwick P.: Simulation Model Design and Execution, PrenticeHall, 1995, ISBN 0-13-098609-7
2. Law, A., Kelton, D.: Simulation Modelling and Analysis, McGraw-Hill, 1991, ISBN 0-07-100803-9
3. Haas, P.: Stochastic Petri nets. Modelling, stability, simulation, Springer, 2002, ISBN 0-387-95445-7
4. Spur, G., Krause, F.L.: CAD Technik. Carl Hanser Verlag, Munchen, 1984, ISBN 3-446-13897-8
Recommended optional program components:
Languages required for the course completion:
Course assessment:
Total number of students assessed: 607
  A B C D E FX  
  21% 19% 22% 20% 10% 8%  
doc. Ing. Branislav Sobota, PhD.
Ing. Štefan Korečko, PhD.
Last modified: 31.08.2023
Approved by: person(s) responsible for the study program