Course: Modelling and simulation

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Course title Modelling and simulation
Course code KST/ZMOSI
Organizational form of instruction Lecture + Lesson
Level of course not specified
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Karták Štěpán, Ing.
  • Kavička Antonín, prof. Ing. Ph.D.
  • Bažant Michael, Ing. Ph.D.
Course content
1. Elementary terminology related to the field of modelling & simulation 2. Experiments with simulating systems 3. Basic methods synchronizing the course of simulation experiments 4. Stages of simulation projects 5. Demonstration project - the initial period 6. Demonstration project - generators of input flows 7. Demonstration project - implementing simulators 8. Demonstration project - executing simulation experiments 9. Modelling the inputs of simulators 10. Output data analysis 11. Combined simulations - synchronization methods 12. Combined simulations - animation outputs 13. Introduction to Petri nets

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Řízená praxe
Learning outcomes
The main goal of the course is to familiarize students with the elementary principles related to the experimental method of discrete simulation on digital computers. After completing the course the students will be able to use the basic approaches to the experimental method of discrete simulation and its applications.
After completing the course the students will be able to use the basic approaches to the experimental method of discrete simulation and its applications. The students can implement simulation programmes (typically using a specific simulation tool) and apply the basic techniques of discrete simulation.
Prerequisites
The students should have basic knowledge of programming techniques, data structures, mathematical statistics and theory of probability.

Assessment methods and criteria
Oral examination, Home assignment evaluation

For completing the computer labs a student has to implement specified simulation programmes which exploit the basic modelling/simulation techniques.
Recommended literature
  • Banks, J. Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice. New York, John Wiley & Sons, 1998. ISBN 0-471-13403-9.
  • Kelton, W. et al. Simulation with Arena. New York, McGraw-Hill, 2004. ISBN 0-07-285694-7.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester