1) Theory of Discrete Simulation Models.
2) Probability theory - discrete and continuous random variables used in simulation models and their description.
3) Theory of generating pseudorandom numbers - methods of generation, transformation methods, randomness tests.
4) Data preparation for simulation modeling needs - point estimation theory.
5) Data preparation for simulation models - tests of good agreement.
6) Methods for verifying and validating simulation models.
7) Software for discrete simulation of transport systems and processes.
8) Statistical processing of simulation results - interval estimates, hypothesis testing, regression and correlation analysis, sensitivity analysis.
9) Optimization methods in simulation.
10) Petri nets and their use for simulation of transport systems.
11) Multiagent systems and their use for simulation of transport systems.
2) Probability theory - discrete and continuous random variables used in simulation models and their description.
3) Theory of generating pseudorandom numbers - methods of generation, transformation methods, randomness tests.
4) Data preparation for simulation modeling needs - point estimation theory.
5) Data preparation for simulation models - tests of good agreement.
6) Methods for verifying and validating simulation models.
7) Software for discrete simulation of transport systems and processes.
8) Statistical processing of simulation results - interval estimates, hypothesis testing, regression and correlation analysis, sensitivity analysis.
9) Optimization methods in simulation.
10) Petri nets and their use for simulation of transport systems.
11) Multiagent systems and their use for simulation of transport systems.