English

Not applicable.

Student can:
- analyse behaviour of discrete event systems
- design models for simple discrete event systems
- write discrete event systems model in different representations
- compute basic statistics for queing systems
- analyse simple Markov networks

The subject knowledge on the Bachelor´s degree level is requested.

Not applicable.

Teaching methods include lectures and computer laboratories. Knowledge is verified using tests at exercises. Students have to write three assignments during the course.

Lesson. Max. 30 points.
Examination. Max. 70 points.
Conditions for awarding the course-unit credit:
1. Active participation in exercises
2. Minimum of 10 points awarded for projects

Descrete event systems and models
Automata, basic concepts
Automata and language relation
Petri nets
Timed systems
Hybrid systems
Stochastic timed systems
Discrete event systems control
Discrete time Markov chains
Continuous time Markov processes
Queuing theory
Markov chains control
Discrete event systems simulation

Not applicable.

This subject presents the field of systems with discrete character from its essence (contrary to discrete control of continuous systems). This is the question of systems of piece production, of bulk service, traffic systems etc. The subject is interested in modeling, control and optimization of behavior of discrete events. It deals in details with the formulation of the tasks of operations scheduling in computer, traffic and especially in production systems. It gives the overview of using the Witness simulation system - one of the top solutions in the field of discrete event system simulation.

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Not applicable.

Not applicable.

Cassandras, C.G., Lafortune, S.: Introduction to Discrete Event Systems, Springer, 2007 (EN)

Not applicable.